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Part V - Technology in Motivation and Performance

Published online by Cambridge University Press:  18 February 2019

Richard N. Landers
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University of Minnesota
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Print publication year: 2019

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References

Allen, T. D., Golden, T. D., & Shockley, K. M. (2015). How effective is telecommuting? Assessing the status of our scientific findings. Psychological Science in the Public Interest, 16(2), 4068.CrossRefGoogle ScholarPubMed
Allen, T. D., Johnson, R. C., Kiburz, K. M., & Shockley, K. M. (2013). Work–family conflict and flexible work arrangements: Deconstructing flexibility. Personnel Psychology, 66(2), 345376.CrossRefGoogle Scholar
Anderson, A. J., Kaplan, S. A., & Vega, R. P. (2015). The impact of telework on emotional experience: When, and for whom, does telework improve daily affective well-being? European Journal of Work and Organizational Psychology, 24(6), 882897.CrossRefGoogle Scholar
Anderson, D. & Kelliher, C. (2009). Flexible working and engagement: The importance of choice. Strategic HR Review, 8(2), 1318.CrossRefGoogle Scholar
Arora, S. A. (2012). Does workplace isolation matter? Examining the impact of workplace isolation on telecommuter work engagement. Melbourne, FL: Florida Institute of Technology.Google Scholar
Bailey, D. E. & Kurland, N. B. (2002). A review of telework research: Findings, new directions, and lessons for the study of modern work. Journal of Organizational Behavior, 23, 383400.CrossRefGoogle Scholar
Bartel, C. A., Wrzesniewski, A., & Wiesenfeld, B. M. (2012). Knowing where you stand: Physical isolation, perceived respect, and organizational identification among virtual employees. Organization Science, 23(3), 743757.CrossRefGoogle Scholar
Baruch, Y. (2000). Teleworking: Benefits and pitfalls as perceived by professionals and managers. New Technology, Work and Employment, 15, 3449.CrossRefGoogle Scholar
Baruch, Y. (2001). The status of research on teleworking and an agenda for future research. International Journal of Management Reviews, 3(2), 113129.CrossRefGoogle Scholar
Baruch, Y. & Nicholson, N. (1997). Home, sweet work: Requirements for effective home working. Journal of General Management, 23(2), 1530.CrossRefGoogle Scholar
Basile, K. A. & Beauregard, T. A. (2016). Strategies for successful telework: How effective employees manage work/home boundaries. Strategic HR Review, 15(3), 106111.CrossRefGoogle Scholar
Beauregard, T. A. (2011). Corporate work-life balance initiatives: Use and effectiveness. In Kaiser, S., Ringlstetter, M., Pina e Cunha, M., & Eikhof, D. R. (Eds.), Creating balance? International perspectives on the work-life integration of professionals (pp. 193208). Berlin: Springer.Google Scholar
Beauregard, T. A., Basile, K. A., & Canonico, E. (2013). Home is where the work is: A new study of homeworking in Acas – and beyond. Acas research paper (Ref. 10/13). London: Acas.Google Scholar
Beauregard, T.A., Basile, K.A., & Thompson, C. A. (2018). Organizational culture in the context of national culture. In Shockley, K., Shen, W. & Johnson, R. (Eds.), The cambridge handbook of the global work-family interface (pp. 555569). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Bélanger, F. (1999). Workers’ propensity to telecommute: An empirical study. Information and Management, 35, 139153.CrossRefGoogle Scholar
Bell, B. S. & Kozlowski, S. W. J. (2002). A typology of virtual teams: Implications for effective leadership. Group & Organization Management, 27, 1449.CrossRefGoogle Scholar
Belle, S. M., Burley, D. L., & Long, S. D. (2015). Where do I belong? High-intensity teleworkers’ experience of organizational belonging. Human Resource Development International, 18(1), 7696.CrossRefGoogle Scholar
Bentley, T. A., Teo, S. T. T., McLeod, L., Tan, F., Bosua, R., & Gloet, M. (2016). The role of organisational support in teleworker wellbeing: A socio-technical systems approach. Applied Ergonomics, 52, 207215.CrossRefGoogle ScholarPubMed
Blau, P. M. (1964). Exchange and power in social life. New York, NY: Wiley.Google Scholar
Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2014). Does working from home work? Evidence from a Chinese experiment. The Quarterly Journal of Economics, 130(1), 165218.CrossRefGoogle Scholar
Bordia, P. (1997). Face-to-face versus computer-mediated communication: A synthesis of the experimental literature. Journal of Business Communication, 34, 99120.CrossRefGoogle Scholar
Brunelle, E. (2013). Leadership and mobile working: The impact of distance on the superior-subordinate relationship and the moderating effects of leadership style. International Journal of Business and Social Science, 4(11), 114.Google Scholar
Busch, E., Nash, J., & Bell, B. S. (2011). Remote work: An examination of current trends and emerging issues. Ithaca, NY: Center for Advanced Human Resource Studies, Cornell University. Retrieved December 11, 2017, from https://distantjob.com/Spring2011_CAHRSRemoteWorkReport.pdf.Google Scholar
Canonico, E. (2016). Putting the Work-Life Interface into a Temporal Context: An Empirical Study of Work-Life Balance by Life Stage and the Consequences of Homeworking (Doctoral dissertation, London School of Economics and Political Science (LSE)).
Coenen, M. & Kok, R. A. (2014). Workplace flexibility and new product development performance: The role of telework and flexible work schedules. European Management Journal, 32(4), 564576.CrossRefGoogle Scholar
Collins, A. M., Hislop, D., & Cartwright, S. (2016). Social support in the workplace between teleworkers, office‐based colleagues and supervisors. New Technology, Work and Employment, 31(2), 161175.CrossRefGoogle Scholar
Cooper, C. D. & Kurland, N. B. (2002). Telecommuting, professional isolation and employee development in public and private sector organizations. Journal of Organizational Behavior, 23, 511532.CrossRefGoogle Scholar
Corwin, V., Lawrence, T., & Frost, P. (2001). Five strategies of successful part-time work. Harvard Business Review, 79, 121–7.Google ScholarPubMed
Crandall, W. & Gao, L. (2005). An update on telecommuting: Review and prospects for emerging issues. SAM Advanced Management Journal, 70(3), 3037.Google Scholar
Davis, R. & Cates, S. (2013). The dark side of working in a virtual world: An investigation of the relationship between workplace isolation and engagement among teleworkers. Journal of Human Resource and Sustainability Studies, 1(2), 913.CrossRefGoogle Scholar
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499512.CrossRefGoogle ScholarPubMed
Duxbury, L. E. & Neufeld, D. (1999). An empirical evaluation of the impacts of telecommuting on intra-organizational communication. Journal of Engineering and Technology Management, 16, 128.CrossRefGoogle Scholar
Fay, M. J. & Kline, S. L. (2011). Coworker relationships and informal communication in high-intensity telecommuting. Journal of Applied Communication Research, 39(2), 144163.CrossRefGoogle Scholar
Feldman, & Gainey, . (1998). Patterns of telecommuting and their consequences: Framing the research agenda. Human Resource Management Review, 7(4), 369388.CrossRefGoogle Scholar
Felstead, A. & Henseke, G. 2017. Assessing the growth of remote working and its consequences for effort, well-being and work-life balance. New Technology Work and Employment, 32(3), 195212.CrossRefGoogle Scholar
Felstead, A., Jewson, N., & Walters, S. 2003. Managerial control of employees working at home. British Journal of Industrial Relations, 41(2), 241264.CrossRefGoogle Scholar
Fonner, K. L. & Roloff, M. E. (2010). Why teleworkers are more satisfied with their jobs than are office-based workers: When less contact is beneficial. Journal of Applied Communication Research, 38(4), 336361.CrossRefGoogle Scholar
Fonner, K. L. & Roloff, M. E. (2012). Testing the connectivity paradox: Linking teleworkers’ communication media use to social presence, stress from interruptions, and organizational identification. Communication Monographs, 79(2), 205231.CrossRefGoogle Scholar
Fonner, K. L. & Stache, L. C. (2012). All in a day’s work, at home: Teleworkers’ management of micro role transitions and the work–home boundary. New Technology, Work and Employment, 27(3), 242257.CrossRefGoogle Scholar
Gainey, T. W. & Clenney, B. F. (2006). Flextime and telecommuting: Examining individual perceptions. Southern Business Review, 32(1), 1321.Google Scholar
Gainey, T., Kelley, D., & Hill, J. (1999). Telecommuting’s impact on corporate culture and individual workers: Examining the effect of employee isolation. SAM Advanced Management Journal, 64(4), 411.Google Scholar
Gajendran, R. S. & Harrison, D. A. (2007). The good, the bad, and the unknown about telecommuting: Meta-analysis of psychological mediators and individual consequences. Journal of Applied Psychology, 92(6), 15241541.CrossRefGoogle ScholarPubMed
Gajendran, R. S., Harrison, D. A., & Delaney-Klinger, K. (2015). Are telecommuters remotely good citizens? Unpacking telecommuting’s effects on performance via i-deals and job resources. Personnel Psychology, 68 (2), 353393.CrossRefGoogle Scholar
Gibson, J., Blackwell, C., Dominicis, P., & Demerath, N. (2002). Telecommuting in the 21st century: Benefits, issues, and a leadership model which will work. Journal of Leadership and Organizational Studies, 8(4), 7586.CrossRefGoogle Scholar
Glass, J. & Riley, L. (1998). Family responsive policies and employee retention following childbirth. Social Forces, 76(4), 14011435.CrossRefGoogle Scholar
Golden, T. D. (2006a). The role of relationships in understanding telecommuter satisfaction. Journal of Organizational Behavior, 27, 319340.CrossRefGoogle Scholar
Golden, T. D. (2006b). Avoiding depletion in virtual work: Telework and the intervening impact of work exhaustion on commitment and turnover intentions. Journal of Vocational Behavior, 69(1), 176187.CrossRefGoogle Scholar
Golden, T. D. (2007). Co-workers who telework and the impact on those in the office: Understanding the implications of virtual work for co-worker satisfaction and turnover intentions. Human Relations, 60, 16411667.CrossRefGoogle Scholar
Golden, T. D. (2011). Does it matter where your manager works? Comparing managerial work mode (traditional, telework, virtual) across subordinate work experiences and outcomes. Human Relations, 64(11), 14511475.CrossRefGoogle Scholar
Golden, T. D. (2012). Altering the effects of work and family conflict on exhaustion: Telework during traditional and nontraditional work hours. Journal of Business and Psychology, 27(3), 255269.CrossRefGoogle Scholar
Golden, T. D. & Raghuram, S. (2010). Teleworker knowledge sharing and the role of altered relational and technological interactions. Journal of Organizational Behavior, 31(8), 10611085.CrossRefGoogle Scholar
Golden, T. D. & Veiga, J. F. (2005). The impact of extent of telecommuting on job satisfaction: Resolving inconsistent findings. Journal of Management, 31(2), 301318.CrossRefGoogle Scholar
Golden, T. D., Veiga, J. F., & Dino, R. N. (2008). The impact of professional isolation on teleworker job performance and turnover intentions: Does time spent teleworking, interacting face-to-face, or having access to communication-enhancing technology matter? Journal of Applied Psychology, 93(6), 14121421.CrossRefGoogle ScholarPubMed
Golden, T. D., Veiga, J. F., & Simsek, Z. (2006). Telecommuting’s differential impact on work-family conflict: Is there no place like home? Journal of Applied Psychology, 91(6), 13401350.CrossRefGoogle ScholarPubMed
Gouldner, A. W. (1960). The norm of reciprocity: A preliminary statement. American Sociological Review, 25(2), 161178.CrossRefGoogle Scholar
Grant, C. A. (2017). Ework-Life Balance Assessment Solutions. Retrieved June 22, 2017, from https://ework.coventry.ac.uk.
Grant, C. A., Wallace, L. M., & Spurgeon, P. C. (2013). An exploration of the psychological factors affecting remote e-worker’s job effectiveness, well-being and work-life balance. Employee Relations, 35(5), 527546.CrossRefGoogle Scholar
Greer, T. W. & Payne, S. C. (2014). Overcoming telework challenges: Outcomes of successful telework strategies. The Psychologist-Manager Journal, 17(2), 87111.CrossRefGoogle Scholar
Haddock, S. A., Zimmerman, T. S., Ziemba, S. J., & Lyness, K. (2006). Practices of dual earner couples successfully balancing work and family. Journal of Family and Economic Issues, 27(2), 207234.CrossRefGoogle Scholar
Haines, V.Y. III, St. Onge, S., & Archambault, M. (2002). Environmental and person antecedents of telecommuting outcomes. Journal of End User Computing, 14(3), 3250.CrossRefGoogle Scholar
Harpaz, I. (2002). Advantages and disadvantages of telecommuting for the individual, organization, and society. Work Study, 51(2/3), 7480.CrossRefGoogle Scholar
Harris, L. (2003). Home-based teleworking and the employment relationship: Managerial challenges and dilemmas. Personnel Review, 32(4), 422437.CrossRefGoogle Scholar
Hartig, T., Kylin, C., & Johansson, G. (2007). The telework tradeoff: Stress mitigation vs. constrained restoration. Applied Psychology, 56(2), 231253.CrossRefGoogle Scholar
He, H. & Brown, A. D. (2013). Organizational identity and organizational identification: A review of the literature and suggestions for future research. Group & Organization Management, 38(1), 335.CrossRefGoogle Scholar
Hill, E. J., Ferris, M., & Martinson, V. (2003). Does it matter where you work? A comparison of how three work venues (traditional office, virtual office, and home office) influence aspects of work and personal/family life. Journal of Vocational Behavior, 62, 220241.CrossRefGoogle Scholar
Hill, E. J., Hawkins, A. J., Ferris, M., & Weitzman, M. (2001). Finding an extra day a week: The positive influence of perceived job flexibility on work and family life balance. Family Relations, 50, 4958.CrossRefGoogle Scholar
Hill, E. J., Miller, B. C., Weiner, S. P., & Colihan, J. (1998). Influences of the virtual office on aspects of work and work/life balance. Personnel Psychology, 51, 667683.CrossRefGoogle Scholar
Hunton, J. E. & Norman, C. S. (2010). The impact of alternative telework arrangements on organizational commitment: Insights from a longitudinal field experiment. Journal of Information Systems, 24(1), 6790.CrossRefGoogle Scholar
Igbaria, M. & Guimares, T. (1999). Exploring differences in employee turnover intentions and its determinants among telecommuters and non telecommuters. Journal of Management Information Systems, 16(1), 147164.CrossRefGoogle Scholar
Ilozor, D.B., Ilozor, B.D., & Carr, J. (2001). Management communication strategies determine job satisfaction in telecommuting. Journal of Management Development, 20(5/6), 495507.CrossRefGoogle Scholar
Johnson, B., Hartstrom, G., Griffith, A., & Neff, J. (2007). Trends in Telework Outreach and Training. Eugene: University of Oregon: Community Planning Workshop.Google Scholar
Kelliher, C. & Anderson, D. (2008). For better or for worse? An analysis of how flexible working practices influence employees’ perceptions of job quality. International Journal of Human Resource Management, 19, 419431.CrossRefGoogle Scholar
Kelliher, C. & Anderson, D. (2010). Doing more with less? Flexible work practices and the intensification of work. Human Relations, 63(1), 83106.CrossRefGoogle Scholar
Khalifa, M. & Davidson, R. (2000). Exploring the telecommuting paradox. Communications of the ACM, 43(3), 2930.CrossRefGoogle Scholar
Konradt, U., Hertel, G., & Schmook, R. (2003). Quality of management by objectives, task-related stressors, and non-task related stressors as predictors of stress and job satisfaction among teleworkers. European Journal of Work and Organizational Psychology, 12, 6179.CrossRefGoogle Scholar
Konradt, U., Schmook, R., Wilm, A., & Hertel, G. (2000). Health circles for teleworkers: Selective results on stress, strain and coping styles. Health Education Research, 15(3), 327338.CrossRefGoogle ScholarPubMed
Kossek, E. E., Lautsch, B. A., & Eaton, S. C. (2006). Telecommuting, control, and boundary management: Correlates of policy use and practice, job control, and work-family effectiveness. Journal of Vocational Behavior, 68(2), 347–367.CrossRefGoogle Scholar
Kossek, E. E., Ruderman, M. N., Braddy, P. W., & Hannum, K. M. (2012). Work–nonwork boundary management profiles: A person-centered approach. Journal of Vocational Behavior, 81(1), 112128.CrossRefGoogle Scholar
Kurland, N. B., & Egan, T. D. (1999). Telecommuting: Justice and control in the virtual organization. Organization Science, 10(4), 500513.CrossRefGoogle Scholar
Lapierre, L. M., Steenbergen, E. F., Peeters, M. C., & Kluwer, E. S. (2016). Juggling work and family responsibilities when involuntarily working more from home: A multiwave study of financial sales professionals. Journal of Organizational Behavior, 37(6), 804822.CrossRefGoogle Scholar
Larsson, G., Sjöberg, M., Nilsson, S., Alvinius, A., & Bakken, B. (2007). Indirect leadership: A quantitative test of a qualitatively developed model. Leadership and Organization Development Journal, 28(8), 771783.CrossRefGoogle Scholar
Lautsch, B. A., Kossek, E. E., & Eaton, S. C. (2009). Supervisory approaches and paradoxes in managing telecommuting implementation. Human Relations, 62(6), 795827.CrossRefGoogle Scholar
Lowry, P. B., Roberts, T. L., Romano, N. C. Jr., Cheney, P. D., & Hightower, R. T. (2006). The impact of group size and social presence on small-group communication: Does computer-mediated communication make a difference? Small Group Research, 37(6), 631661.CrossRefGoogle Scholar
Lupton, P. & Haynes, B. (2000). Teleworking: The perception-reality gap. Facilities, 18(7/8), 323337.CrossRefGoogle Scholar
Madlock, P. E. (2012). The influence of supervisors’ leadership style on telecommuters. Journal of Business Strategies, 29(1), 124.Google Scholar
Mann, S. & Holdsworth, L. (2003). The psychological impact of teleworking: Stress, emotions and health. New Technology, Work and Employment, 18, 196211.CrossRefGoogle Scholar
Mann, S., Varey, R., & Button, W. (2000). An exploration of the emotional impact of teleworking via computer-mediated communication. Journal of Managerial Psychology, 15(7), 668682.CrossRefGoogle Scholar
Manochehri, G. & Pinkerton, T. (2003). Managing telecommuters: Opportunities and challenges. American Business Review, 21(1), 916.Google Scholar
Mariani, M. (2000). Exploring the telecommuting paradox. Communications of the ACM, 42, 2950.Google Scholar
Maruyama, T. & Tietze, S. (2012). From anxiety to assurance: Concerns and outcomes of telework. Personnel Review, 41(4), 450469.CrossRefGoogle Scholar
Matharu, H. (October 1, 2015). Sweden introduces six-hour work day. The Independent. Retrieved from www.independent.co.uk/news/world/europe/sweden-introduces-six-hour-work-day-a6674646.html.
Maynard, M. T. & Gilson, L. L. (2014). The role of shared mental model development in understanding virtual team effectiveness. Group & Organization Management, 39(1), 332.CrossRefGoogle Scholar
McAdams, J. (2006). Telecommuters. Computer World, 40(20), 3637.Google Scholar
McCloskey, D. W. & Igbaria, M. (2003). Does “out of sight” mean “out of mind”? An empirical investigation of the career advancement prospects of telecommuters. Information Resources Management Journal, 16(2), 1934.CrossRefGoogle Scholar
McDowall, A. & Kinman, G. (2017). The new nowhere land? A research and practice agenda for the “always on” culture. Journal of Organizational Effectiveness: People and Performance, 4(3), 256266.CrossRefGoogle Scholar
McGregor, D. M. (1960). The human side of Enterprise. New York, NY: McGraw-Hill.Google Scholar
Meadows, V. (2007). Versatile bureaucracy: A telework case study. Public Manager, 36(4), 3337.Google Scholar
Mello, J. A. (2007). Managing telework programs effectively. Employee Responsibilities and Rights Journal, 19(4), 247261.CrossRefGoogle Scholar
Mills, J., Wong-Ellison, C., Werner, W., & Clay, J. (2001). Employer liability for telecommuting employees. Cornell Hotel and Restaurant Quarterly, 42(5), 4859.CrossRefGoogle Scholar
Mustafa, M. & Gold, M. (2013). “Chained to my work”? Strategies to manage temporal and physical boundaries among self‐employed teleworkers. Human Resource Management Journal, 23(4), 413429.CrossRefGoogle Scholar
Nardi, B. & Whittaker, S. (2002). The role of face-to-face communication in distributed work. In Hinds, P. & Kiesler, S. (Eds.), Distributed work: New ways of working across distance using technology (pp. 83110). Cambridge, MA: MIT Press.Google Scholar
O’Neill, T. A., Hambley, L. A., Greidanus, N. S., MacDonnell, R., & Kline, T. J. (2009). Predicting teleworker success: An exploration of personality, motivational, situational, and job characteristics. New Technology, Work and Employment, 24, 144162.CrossRefGoogle Scholar
Offstein, E. H., Morwick, J. M., & Koskinen, L. (2010). Making telework work: Leading people and leveraging technology for competitive advantage. Strategic HR Review, 9(2), 3237.CrossRefGoogle Scholar
Ollier-Malaterre, A. & Foucreault, A. (2017). Cross-national work-life research: Cultural and structural impacts for individuals and organizations. Journal of Management, 43(1), 111136.CrossRefGoogle Scholar
Peters, P. & van der Lippe, T. (2007). The time-pressure reducing potential of telehomeworking: The Dutch case. International Journal of Human Resources Management, 18(3), 430447.CrossRefGoogle Scholar
Piszczek, M. M. & Berg, P. (2014). Expanding the boundaries of boundary theory: Regulative institutions and work–family role management. Human Relations, 67(12), 14911512.CrossRefGoogle Scholar
Potter, E. (2003). Telecommuting: The future of work, corporate culture, and American society. Journal of Labor Research, 24(1), 7384.CrossRefGoogle Scholar
Powell, G. N., Francesco, A. M., & Ling, Y. (2009). Toward culture‐sensitive theories of the work–family interface. Journal of Organizational Behavior, 30(5), 597616.CrossRefGoogle Scholar
Pyöriä, P. (2011). Managing telework: Risks, fears and rules. Management Research Review, 34(4), 386399.CrossRefGoogle Scholar
Raghuram, S. & Wieselfeld, B. (2004). Work–nonwork conflict and job stress among virtual workers. Human Resource Management, 43(2), 259277.CrossRefGoogle Scholar
Reinsch, N. L. Jr. (1997). Relationships between telecommuting workers and their managers: An exploratory study. Journal of Business Communication, 34(4), 343369.CrossRefGoogle Scholar
Richardson, J. & Kelliher, C. (2015). Managing visibility for career sustainability: A study of remote workers. In De Vos, A. & Van der Heijden, B. (Eds.), Handbook of research on sustainable careers (pp. 116130). Cheltenham, UK: Edward Elgar.CrossRefGoogle Scholar
Robertson, M., Maynard, W., & McDevitt, J. (2003). Telecommuting: Managing the safety of workers in home office environments. Professional Safety, 48(4), 3036.Google Scholar
Rokach, A. (1997). Relations of perceived causes and the experience of loneliness. Psychological Reports, 80, 10671074.CrossRefGoogle ScholarPubMed
Sardeshmukh, S. R., Sharma, D., & Golden, T. D. (2012). Impact of telework on exhaustion and job engagement: A job demands and job resources model. New Technology, Work and Employment, 27(3), 193207.CrossRefGoogle Scholar
Sewell, G. & Taskin, L. (2015). Out of sight, out of mind in a new world of work? Autonomy, control, and spatiotemporal scaling in telework. Organization Studies, 36(11), 15071529.CrossRefGoogle Scholar
Shin, B., El Sawy, O. A., Sheng, O. R. L., & Higa, K. (2000). Telework: Existing research and future directions. Journal of Organizational Computing and Electronic Commerce, 10(2), 85101.CrossRefGoogle Scholar
Shockley, K. M. & Allen, T. D. (2010). Investigating the missing link in flexible work arrangement utilization: An individual difference perspective. Journal of Vocational Behavior, 76(1), 131142.CrossRefGoogle Scholar
Smith, J. W. (1998). Preliminary development of an alternative measure of isolation: The construct of institutional isolation. Psychological Reports, 82, 13231330.CrossRefGoogle ScholarPubMed
Standen, P., Daniels, K. & Lamond, D. (1999). The home as a workplace: Work-family interaction and psychological well-being in telework. Journal of Occupational Health Psychology, 4, 368381.CrossRefGoogle ScholarPubMed
Staples, D. S. (2001). A study of remote workers and their differences from non-remote workers. Journal of End User Computing, 13(2), 314.CrossRefGoogle Scholar
Stephens, G. K. & Szajna, B. (1998). Perceptions and expectations: Why people choose a telecommuting work style. International Journal of Electronic Commerce, 3(1), 7085.CrossRefGoogle Scholar
Sullivan, C. (2000). Space and the intersection of work and family in homeworking households. Community, Work & Family, 3(2), 185204.CrossRefGoogle Scholar
Taskin, L. & Bridoux, F. (2010). Telework: A challenge to knowledge transfer in organizations. The International Journal of Human Resource Management, 21(13), 25032520.CrossRefGoogle Scholar
Telework Exchange (March 11, 2008,). National Science Foundation and Telework Exchange Study Validates Telework Productivity Hypothesis. Press release. Retrieved May 11, 2017, from www.businesswire.com/news/home/20080311005147/en/National-Science-Foundation-Telework-Exchange-Study-Validates.
ten Brummelhuis, L., Haar, J., & van der Lippe, T. (2010). Collegiality under pressure? The effects of family demands and flexible work arrangements in the Netherlands. International Journal of Human Resource Management, 21(15), 28312847.CrossRefGoogle Scholar
Thompson, R. J., Payne, S. C., & Taylor, A. B. (2015). Applicant attraction to flexible work arrangements: Separating the influence of flextime and flexplace. Journal of Occupational and Organizational Psychology, 88(4), 726749.CrossRefGoogle Scholar
Tietze, S. & Musson, G. (2005). Recasting the home-work relationship: A case of mutual adjustment? Organization Studies, 26(9), 13311352.CrossRefGoogle Scholar
Tietze, S. & Nadin, S. (2011). The psychological contract and the transition from office‐based to home‐based work. Human Resource Management Journal, 21(3), 318334.CrossRefGoogle Scholar
Tremblay, D.-G. (2002). Balancing work and family with telework? Organizational issues and challenges for women and managers. Women in Management Review, 17(3/4), 157170.CrossRefGoogle Scholar
Turetken, O., Jain, A., Quesenberry, B., & Ngwenyama, O. (2011). An empirical investigation of the impact of individual and work characteristics on telecommuting success. IEEE Transactions on Professional Communication, 54(1), 5667.CrossRefGoogle Scholar
Valsecchi, R. (2006). Visible moves and invisible bodies: The case of teleworking in an Italian call centre. New Technology, Work and Employment, 21, 123138.CrossRefGoogle Scholar
van Zoonen, W., Verhoeven, J. W., & Vliegenthart, R. (2016). Social media’s dark side: Inducing boundary conflicts. Journal of Managerial Psychology, 31(8), 12971311.CrossRefGoogle Scholar
Vega, G. & Brennan, L. (2000). Isolation and technology: The human disconnect. Journal of Organizational Change Management, 13, 468481.CrossRefGoogle Scholar
Vega, R. P., Anderson, A. J., & Kaplan, S. A. (2015). A within-person examination of the effects of telework. Journal of Business and Psychology, 30(2), 313323.CrossRefGoogle Scholar
Venkatesh, V. & Speier, C. (2000). Creating an effective training environment for enhancing telework. International Journal of Human-Computer Studies, 52, 9911005.CrossRefGoogle Scholar
Verbeke, A., Schulz, R., Greidanus, N., & Hambley, L. A. (2008). Growing the virtual workplace: The integrative value proposition for telework. Northampton: Edward Elgar.CrossRefGoogle Scholar
Virick, M., DaSilva, N., & Arrington, K. (2010). Moderators of the curvilinear relation between extent of telecommuting and job and life satisfaction: The role of performance outcome orientation and worker type. Human Relations, 63(1), 137154.CrossRefGoogle Scholar
Weisenfeld, B.M., Raghuram, S., & Garud, R. (2001). Organizational identification among virtual workers: The role of need for affiliation and perceived work-based social support. Journal of Management, 27, 213229.CrossRefGoogle Scholar
Wheatley, D. (2012). Good to be home? Time‐use and satisfaction levels among home‐based teleworkers. New Technology, Work and Employment, 27(3), 224241.CrossRefGoogle Scholar
Aghaz, A. & Sheikh, A. (2016). Cyberloafing and job burnout: An investigation in the knowledge intensive sector. Computers in Human Behavior, 62, 5160.CrossRefGoogle Scholar
Aime, M. D., Calandriello, G., & Lioy, A. (2007). Dependability in wireless networks: Can we rely on WiFi?. IEEE Security & Privacy, 5(1).CrossRefGoogle Scholar
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179211.CrossRefGoogle Scholar
Ak, S., Ozdemir, Y., & Kuzucu, Y. (2015). Cybervictimization and cyberbullying: The mediating role of anger, Don’t anger me! Computers in Human Behavior, 49, 437443.CrossRefGoogle Scholar
Akbulut, Y., Donmez, O., & Durson, O. (2017). Cyberloafing and social desirability bias among students and employees. Computers in Human Behavior, 72, 8795.CrossRefGoogle Scholar
AldhizerIII, G. R. (2008). The insider threat: automated identity and access controls can help organizations mitigate risks to important data. Internal Auditor, 65(2), 7173.Google Scholar
Alonzo, M. & Aiken, M. (2004). Flaming in electronic communication. Decision Support Systems, 36(3), 205213.CrossRefGoogle Scholar
Alshuaibi, A. S., Subrananiam, C., & Shamsudin, F. M. (2014). The mediating role of job satisfaction on the relationship between HR practices and cyberdeviance. Journal of Marketing and Management, 5(1), 105119.Google Scholar
Amsel, A. (1992). Frustration theory – many years later. Psychological Bulletin, 112(3), 396399.CrossRefGoogle ScholarPubMed
Anandarajan, M., Devine, P., & Simmers, C.A. (2004). Chapter IV: A multidimensional scaling approach to personal Web usage in the workplace, in Personal Web Usage in the Workplace: A Guide to Effective Human Resources Management (pp. 6179). Hershey, PA: Idea Group Publishing.CrossRefGoogle Scholar
Andreassen, C. S., Torsheim, T., & Pallesen, S. (2014). Predictors of use of social network sites at work – a specific type of cyberloafing. Journal of Computer-Mediated Communication, 19, 906921.CrossRefGoogle Scholar
Askew, K., Buckner, J. E., Taing, M. U., Ilie, A., Bauer, J. A., & Coovert, M. D. (2014). Explaining cyberloafing: The role of the theory of planned behavior. Computers in Human Behavior, 36, 510519.CrossRefGoogle Scholar
Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 11751184.CrossRefGoogle ScholarPubMed
Barlett, C.P., Prot, S., Anderson, C.A., & Gentile, D.A. (2017). An empirical examination of the strength differential hypothesis in cyberbullying behavior. Psychology of Violence, 7(1), 2232.CrossRefGoogle Scholar
Barling, J. (1996). Prediction, experience, and consequences of violence. In Vandenbos, G. R., & Bulatao, E. Q. (Eds.), Violence on the job: Identifying risks and developing solutions. Washington, DC: American Psychological Association.Google Scholar
Barlow, J., Bean, L., & Hott, D.D. (2003). Employee “spy” software: Should you use it? Journal of Corporate Accounting & Finance, 14(4), 712.CrossRefGoogle Scholar
Barnes, S. & Biros, D. (2007). An exploratory analysis of computer mediated communications on cyberstalking severity. The Journal of Digital Forensics, Security and Law, 2(3), 727.Google Scholar
Baturay, M. H. & Toker, C. (2015). An investigation of the impact of demographics on cyberloafing from an educational setting angle. Computers in Human Behavior, 50, 358366.CrossRefGoogle Scholar
Belanger, F. & Van Slyke, C. (2002). Abuse or learning? Communications of the ACM, 45(1), 6465.CrossRefGoogle Scholar
Benbasat, I. & Zmud, R.W. (2003). The identity crisis within the IS discipline: Defining and communicating the discipline’s core properties. MIS Quarterly, 27(2), 183194.CrossRefGoogle Scholar
Biber, J.K., Doverspike, D., Baznik, D., Cober, A., & Ritter, B.A. (2002). Sexual harassment in online communications: effects of gender and discourse medium. Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society, 5(1), 3342.CrossRefGoogle ScholarPubMed
Bissett, A. & Shipton, G. (2000). Some human dimensions of computer virus creation and infection. International Journal of Human-Computer Studies, 52(5), 899913.CrossRefGoogle Scholar
Blanchard, A. L. & Henle, C. A. (2008). Correlates of different forms of cyberloafing: The role of norms and external locus of control. Computers in Human Behavior, 24(3), 10671084.CrossRefGoogle Scholar
Blau, G., Yang, Y., & Ward-Cook, K. (2006). Testing a measure of cyberloafing. Journal of Allied Health, 35(1), 917.Google ScholarPubMed
Burn-Thornton, K. & Burman, T. (2012). The use of data mining to indicate virtual (email) bullying. 2012 Third Global Congress on Intelligent Systems, November 2012, 253256.CrossRef
Bushman, B. J., Bonacci, A. M., Pedersen, W. C., Vasquez, E. A., & Miller, N. (2005). Chewing on it can chew you up: Effects of rumination on triggered displaced aggression. Journal of Personality and Social Psychology, 88, 969983.CrossRefGoogle ScholarPubMed
Byron, K. (2008). Carrying too heavy a load? The communication and miscommunication of emotion by email. Academy of Management Review, 33(2), 309327.CrossRefGoogle Scholar
Caplan, S. E. (2007). Relations among loneliness, social anxiety, and problematic internet use. CyberPsychology & Behavior, 10(2), 234242.CrossRefGoogle ScholarPubMed
Carlson, J. R. & Zmud, R. W. (1999), Channel expansion theory and the experiential nature of media richness perceptions, Academy of Management Journal, 42, 153170.Google Scholar
Case, C. & Young, K. (2001). A preliminary investigation of employee internet misuse, Issues in Information Systems, 1, 4349.Google Scholar
Chalykoff, J. & Kochan, T. A. (1989). Computer-aided monitoring: Its influence on employee job satisfaction and turnover. Personnel Psychology, 42, 807834.CrossRefGoogle Scholar
Chambers, R. A. & Potenza, M. N. (2003). Neurodevelopment, impulsivity, and adolescent gambling. Journal of Gambling Studies, 19(1), 5384.CrossRefGoogle ScholarPubMed
Chen, D. J. Q. & Lim, V. K. G. (August, 2011). Impact of cyberloafing on psychological engagement. Paper presented at the Annual Meeting of Academy of Management, San Antoni, TX.
Christian, M. S. & Ellis, A. P. (2011). Examining the effects of sleep deprivation on workplace deviance: A self-regulatory perspective. Academy of Management Journal, 54(5), 913934.CrossRefGoogle Scholar
Churchman, P. (2003). Technology abusing the Net – How to curb work surfers with surfing there’s always the risk of getting dumped – a lesson worth heeding as the incidence of workplace internet abuse increases and both companies and employees pay the cost. New Zealand Management, 46–7. Retrieved June 3, 2017 from https://management.co.nz/article/technology-abusing-net-how-curb-work-surfers.Google Scholar
Civiello, C. L. (1999). Cyberspace, trusted insiders, and organizational threat. The Psychologist-Manager Journal, 3(2), 149166.CrossRefGoogle Scholar
Cole, T. J. (2002). PC use at home and for union organizing: New challenges in the wired workplace. Employment Relations Today, 29(1), 7378.CrossRefGoogle Scholar
Connelly, C. E., Zweig, D., Webster, J., & Trougakos, J. P. (2012). Knowledge hiding in organizations. Journal of Organizational Behavior, 33(1), 6488.CrossRefGoogle Scholar
Coyne, I., Farley, S., Axtell, C., Sprigg, C., Best, L., & Kwok, O. (2017). Understanding the relationship between experiencing workplace cyberbullying, employee mental strain and job satisfaction: A disempowerment approach. The International Journal of Human Resource Management, 28(7), 945972.CrossRefGoogle Scholar
Daft, R. L., Lengel, R. H., & Trevino, L. K. (1987). Message equivocality, media selection, and manager performance: Implications for information systems. MIS Quarterly, 11(3), 355366.CrossRefGoogle Scholar
Darby, M. R. & Karni, E. (1973). Free competition and the optimal amount of fraud. The Journal of Law and Economics, 16(1), 6788.CrossRefGoogle Scholar
Davis, H. E. & Braun, R. L. (2004). Computer fraud: Analyzing perpetrators and methods. The CPA Journal, 74(7), 5659.Google Scholar
D’Cruz, P. & Noronha, E. (2013). Navigating the extended reach: Target experiences of cyberbullying at work. Information and Organization, 23(4), 324343.CrossRefGoogle Scholar
de Lara, P. Z. M. (2007). Relationship between organizational justice and cyber-loafing in the workplace: Has “anomia” a say in the matter? CyberPsychology & Behavior, 10(3), 464470.CrossRefGoogle ScholarPubMed
de Lara, P. Z. M., Tacoronte, D. V., & Ding, J-M. T. (2006). Do current anti-cyberloafing disciplinary practices have a replica in research findings?: A study of the effects of coercive strategies on workplace Internet misuse. Internet Research, 16(4), 450467.CrossRefGoogle Scholar
DeSanctis, G. & Poole, M.S. (1994). Capturing the complexity in advanced technology use: Adaptive structuration theory. Organization Science, 5(2), 121147.CrossRefGoogle Scholar
Dollard, J., Miller, N. E., Doob, L. W., Mowrer, O. H., & Sear, R. R. (1939). Frustration and aggression. New Haven, CT: Yale University Press.CrossRefGoogle Scholar
Dooley, J., Pyzalski, J., & Cross, D. (2009). Cyberbullying versus face-to-face bullying: A theoretical and conceptual review. Zeitschrift fur Psychologie – Journal of Psychology, 217(4), 182188.CrossRefGoogle Scholar
Douglas, D. M. (2016). Doxing: a conceptual analysis. Ethics and Information Technology, 18(3), 199210.CrossRefGoogle Scholar
Farley, S., Coyne, I.J., Sprigg, C.A., Axtell, C., & Subramanian, G. (2015). Exploring the Impact of Workplace Cyberbullying on Trainee Doctors. https://dspace.lboro.ac.uk/2134/20812.
Faucher, C., Jackson, M., & Cassidy, W. (2015). Governing cyberbullying at the university level. The Canadian Journal of Higher Education, 45(1), 102121.Google Scholar
Fleury, D. (2016). Precarious employment in Canada: An overview of the situation. HillNotes Research and Analysis from Canada’s Library of Parliament, January 26, 2017. Retrieved December 18, 2017, from https://hillnotes.ca/2016/01/27/precarious-employment-in-canada-an-overview-of-the-situation/.
Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.Google Scholar
Fontein, D. (2017). How to write a social media policy for your company. Hootsuite, February 23, 2017. Retrieved May 23, 2017 from https://blog.hootsuite.com/social-media-policy-for-employees/.
Ford, D. P. (2003). TAM Research: A Theoretical Critique & Call for Debate. Presentation at Administrative Sciences Association of Canada 2003 Conference, Halifax, NS, June 2003.
Ford, D. P. (2013). Virtual harassment: Media characteristics’ role in psychological health. Journal of Managerial Psychology, 28(4), 408428.CrossRefGoogle Scholar
Ford, D. P. (2015). The relevance of media characteristics for targets’ experience of workplace aggression. Platform paper presented at Work, Stress and Health Conference, May 6–9,2015, Atlanta, GA.
Ford, D. P. & Clarke, H. M. (2017). Testing the impact of media characteristics for virtual workplace aggression: Four experiments. Poster presentation at Canadian Psychological Association Conference, Toronto, ON, June 8–10, 2017.
Francis, L., Holmvall, C. M., & O’Brien, L. E. (2015). The influence of workload and civility of treatment on the perpetration of email incivility. Computers in Human Behavior, 46, 191201.CrossRefGoogle Scholar
Gardner, D., O’Driscoll, M., Cooper-Thomas, H. D., Roche, M., Bentley, T., Catley, B., Teo, S. T. T., & Trenberth, L. (2016). Predictors of workplace bullying and cyber-bullying in New Zealand. International Journal of Environmental Research & Public Health, 13(5), 114.CrossRefGoogle ScholarPubMed
Garrett, R. K. & Danziger, J. N. (2008). On cyberslacking: Workplace status and personal internet use at work. CyberPsychology & Behavior, 11(3), 287292.CrossRefGoogle ScholarPubMed
Giménez Gualdo, A. M., Hunter, S. C., Durkin, K., Arnaiz, P., & Maquilón, J. J. (2015). The emotional impact of cyberbullying: Differences in perceptions and experiences as a function of role. Computers & Education, 82, 228235.CrossRefGoogle Scholar
Giumetti, G. W., McKibben, E. S., Hatfield, A. L., Schroeder, A. N., & Kowalski, R. M. (2012). Cyber incivility @ work: The new age of interpersonal deviance. Cyberpsychology Behavior and Social Networking, 15(3), 148154.CrossRefGoogle Scholar
Glassman, J., Prosch, M., & Shao, B. B. M. (2015). To monitor or not to monitor: Effectiveness of a cyberloafing countermeasure. Information & Management, 52(2), 170182.CrossRefGoogle Scholar
Goffee, R. & Jones, G. (1996). What holds the modern company together? Harvard Business Review, 74(6), 133148.Google Scholar
Greengard, S. (2000). The high cost of cyberslacking. Workforce, 79(12), 2224.Google Scholar
Harris, L. (2008). Staffer fired after bad-mouthing colleagues, management in blog. Canadian HR Reporter (September 8, 2008), 18. Retrieved September 29, 2018, from www.hrreporter.com/article/6313-staffer-fired-after-bad-mouthing-colleagues-manage/.Google Scholar
Hegarty, W. H. & Sims, H. P. (1978). Some determinants of unethical decision behavior: An experiment. Journal of Applied Psychology, 63(4), 451457.CrossRefGoogle Scholar
Hemsley, J. & Mason, R. M. (2013). Knowledge and knowledge management in the social media age. Journal of Organizational Computing and Electronic Commerce, 23(1–2), 138167.CrossRefGoogle Scholar
Henle, C. A. & Blanchard, A. L. (2008). The interaction of work stressors and organizational sanctions on cyberloafing. Journal of Managerial Issues, 20, 383400.Google Scholar
Henle, C. A. & Kedharnath, U. (2012). Cyberloafing in the Workplace 560. In Yan, Z. (Eds.), Encyclopedia of Cyber Behavior. USA: IGI Global.Google Scholar
Hershcovis, M. S. (2011). Incivility, social undermining, bullying … Oh My! A call to reconcile constructs within workplace aggression research. Journal of Organizational Behavior, 32, 499519.CrossRefGoogle Scholar
Higgins, G. E. & Wolfe, S. E. (2008). Digital piracy: An examination of three measurements of self-control. Deviant Behavior, 29, 440460.CrossRefGoogle Scholar
Hobfoll, S. E. (1998). Stress, culture, and community. New York, NY, Plenum Press.CrossRefGoogle Scholar
Hofstede, G. (1991). Cultures and organizations: Software of the mind. New York, NY: McGraw-Hill.Google Scholar
Jin, A. T. B., Ling, D. N. C., & Goh, A. (2004). Biohashing: Two factor authentication featuring fingerprint data and tokenised random number. Pattern Recognition, 37(11), 22452255.CrossRefGoogle Scholar
Johnson, M. (2011). Workforce deviance and the business case for employee engagement. The Journal for Quality and Participation, 34(2), 11.Google Scholar
Johnson, P. R. & Indvik, J. (2003). The organizational benefits of reducing cyberslacking in the workplace. Allied Academies International Conference Proceedings; Arden, 8(2), 5359.Google Scholar
Kaplan, H. B. (1975). Self-attitudes and deviant behavior. Pacific Palisades, CA: Coodyear.Google Scholar
Kiesler, S. (1986). The hidden messages in computer networks. Harvard Business Review, 64(1), 4648.Google Scholar
Klotz, A. C. & Buckley, M. R. (2013). A historical perspective of counterproductive work behavior targeting the organization. Journal of Management History, 19(1), 114132.CrossRefGoogle Scholar
Koay, K. Y., Soh, P. C. H., & Chew, K. W. (2017). Antecedents and consequences of cyberloafing: Evidence from the Malaysian ICT Industry. First Monday, 22(3). Retrieved June 16, 2017, from http://firstmonday.org/ojs/index.php/fm/article/view/7302/5968.CrossRefGoogle Scholar
Krishnan, S. (2016). Electronic warfare: A personality model of cyber incivility. Computers in Human Behavior, 64, 537546.CrossRefGoogle Scholar
Kruglanski, A. W. (2001). “That vision thing”: The state of theory in social and personality psychology at the end of the new millennium. Journal of Personality and Social Psychology, 80(6), 871875.CrossRefGoogle Scholar
Larson, S. (June 19, 2017). Data of almost 200 million voters leaked online by GOP analytics firm. Retrieved from http://money.cnn.com/2017/06/19/technology/voter-data-leaked-online-gop/index.html.
Lawrence, T. B. & Robinson, S. L. (2007). Ain’t misbehavin: Workplace deviance as organizational resistance. Journal of Management, 33(3), 378394.CrossRefGoogle Scholar
Lee, E. B. (2017). Cyberbullying. Journal of Black Studies, 48(1), 5773.CrossRefGoogle Scholar
Lee., R. T. & Brotheridge, C. M. (2006). When prey turns predatory: Workplace bullying as a predictor of counteraggression/bullying, coping, and well-being. European Journal of Work and Organizational Psychology, 15(3), 352377.CrossRefGoogle Scholar
Leventhal, G. S. (1980). What should be done with equity theory? In Gergen, K. J., Greenberg, M. S., & Willis, R. H. (Eds.) Social Exchange (pp. 2755). Boston. MA: Springer.CrossRefGoogle Scholar
Liberman, B., Seidman, G., McKenna, K. Y. A., & Buffardi, L. E. (2011). Employee job attitudes and organizational characteristics as predictors of cyberloafing. Computers in Human Behavior, 27, 21922199.CrossRefGoogle Scholar
Lim, V. K. G. (2002). The IT way of loafing on the job: Cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior, 23(4), 675694.CrossRefGoogle Scholar
Lim, V. K. G. & Chen, D. J. (2012). Cyberloafing at the workplace: Gain or drain on work? Behavior and Information Technology, 31, 343353.CrossRefGoogle Scholar
Lim, V. K.G. & Teo, T.S.H. (2009). Mind your E-manners: Impact of cyber incivility on employees’ work attitude and behavior. Information & Management, 46(8), 419425.CrossRefGoogle Scholar
Maas, A., Cadinu, M., Guarnieri, G., &, Grasselli, A. (2003). Sexual harassment under social identity threat: The computer harassment paradigm. Journal of Personality and Social Psychology, 85(5), 853870.CrossRefGoogle Scholar
Machackova, H. & Pfetsch, J. (2016). Bystanders’ responses to offline bullying and cyberbullying: The role of empathy and normative beliefs about aggression. Scandinavian Journal of Psychology, 57(2), 169176.CrossRefGoogle ScholarPubMed
MacKinnon, C. A. (1979). Sexual harassment of working women: A case of sex discrimination (No. 19). New Haven, CT: Yale University Press.Google Scholar
Mahatanankoon, P., Anandarajan, M., & Igbaria, M. (2004). Development of a measure of personal Web usage in the workplace. CyberPsychology & Behavior, 7(1), 93104.CrossRefGoogle ScholarPubMed
Malhotra, Y. & Galletta, D. (2005) A multidimensional commitment model of volitional systems adoption and usage behavior. Journal of Management Information. Systems, 22(1), 117151.CrossRefGoogle Scholar
Mastrangelo, P. M., Everton, W. J., & Jolton, J. A. (2003). Deviant computer use at work: from bad to worse. Systems, Man and Cybernetics, IEEE International Conference, Washington, DC, USA.CrossRef
Mastrangelo, P. M., Everton, W., & Jolton, J.A. (2006). Personal use of work computers: Distraction versus destruction. CyberPsychology & Behavior, 9(6), 730741.CrossRefGoogle ScholarPubMed
McGuire, W. J. (1974). Psychological motives and communication gratification. In Blumler, J. G. & Katz, E. (Eds.), The uses of mass communications: Current perspectives on gratifications research (pp. 167196). Beverly Hills, CA: Sage._Google Scholar
Michailova, S. & Husted, K. (2003). Knowledge-sharing hostility in Russian firms. California Management Review, 45(3), 5977.CrossRefGoogle Scholar
Mills, J. E., Hu, B., Beldona, S., & Clay, J. (2001). Cyberslacking! A liability issue for wired workplaces. Cornell Hotel and Restaurant Administration Quarterly, 2(5), 3447.Google Scholar
Mirchandani, D. & Motwani, J. (2003). Reducing internet abuse in the workplace. SAM Advanced Management Journal, 68(1), 2228.Google Scholar
Moody, G. D. & Siponen, M. (2013). Using the theory of interpersonal behavior to explain non-work related personal use of the Internet at work. Information & Management, 50, 322335.CrossRefGoogle Scholar
New York Times. (2008). NC school employee fired over Facebook posting. New York Times Company. Retrieved April 27, 2017, from https://search.proquest.com/docview/370252926?accountid=12378.
Nocentini, A., Calmaestra, J., Schultze-Krumbholz, A., Scheithauer, H., Ortega, R., & Menesini, E. (2010). Cyberbullying: Labels, behaviours and definition in three European countries, Australian Journal of Guidance and Counselling, 20(2), 129142.CrossRefGoogle Scholar
Oluwole, D. A. (2009). Spirituality, gender and age factors in cybergossip among Nigerian adolescents. Cyberpsychology & Behavior, 12(3), 323326.CrossRefGoogle ScholarPubMed
O’Neill, T. A., Hambley, L. A., & Bercovich, A. (2014). Prediction of cyberslacking when employees are working away from the office. Computers in Human Behavior, 34, 291298.CrossRefGoogle Scholar
Ophoff, J., Machaka, T., & Stander, A. (2015). Exploring the impact of cyber incivility in the workplace. In Proceedings of Information Science & IT Education Conference (InSITE) (pp. 443–504).CrossRef
Oreskovik, A. (2017). A senior engineer at Google wrote a controversial diversity manifesto and employees are furious. Business Insider, August 5. Retrieved December 4, 2017, from www.businessinsider.com/google-engineer-anti-diversity-manifesto-causes-uproar-2017–8.
O’Sullivan, D. (2017). The RNC files: Inside the largest US voter data leak. UpGuard, July 19. Retrieved June 20, 2017, from www.upguard.com/breaches/the-rnc-files.
Park, Y., Fritz, C., & Jex, S. M. (2015). Daily cyber incivility and distress the moderating roles of resources at work and home. Journal of Management, 44(7), 25352557, 0149206315576796.CrossRefGoogle Scholar
Pee, L. G., Woon, I. M. Y., & Kankanhalli, A. (2008). Explaining non-work-related computing in the workplace: A comparison of alternative models. Information & Management, 45(2), 120130.CrossRefGoogle Scholar
Peluchette, J. V., Karl., K., Wood, C., & Williams, J. (2015). Cyberbullying victimization: Do victims’ personality and risky social network behaviors contribute to the problem? Computers in Human Behavior, 52, 424435.CrossRefGoogle Scholar
Pfeffer, J. (1992). Managing with Power: Politics and Influence in Organizations. Boston, MA: Harvard Business Press.Google Scholar
Pittaro, M. L. (2007). Cyber stalking: An analysis of online harassment and intimidation. International Journal of Cyber Criminology, 1(2), 180197.Google Scholar
Porter, M. E. (1985). Competitive Advantage. New York, NY: Free Press.Google Scholar
Privitera, C. & Campbell, M. A. (2009). Cyberbullying: The new face of workplace bullying? Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society, 12(4), 395400.CrossRefGoogle ScholarPubMed
Raskin, R., Novacek, J., & Hogan, R. (1991). Narcissistic self-esteem management. Journal of Personality and Social Psychology, 60(6), 911.CrossRefGoogle Scholar
Reio, T. G. Jr., (2011). Supervisor and coworker incivility: Testing the work frustration-aggression model. Advances in Developing Human Resources, 13(1), 5468.CrossRefGoogle Scholar
Restubog, S. L. D., Garcia, P. R. J. M., Toledano, L. S., Amarnani, R. K., Tolentino, L. R., & Tang, R. L. (2011). Yielding to (cyber)-temptation: Exploring the buffering role of self-control in the relationship between organizational justice and cyber-loafing behavior in the workplace. Journal of Research in Personality, 45, 247251.CrossRefGoogle Scholar
Roberts, J. A. & David, M. E. (2017). Put down your phone and listen to me: How boss phubbing undermines the psychological conditions necessary for employee engagement. Computers in Human Behavior, 75, 206217.CrossRefGoogle Scholar
Roberts, J. A. & Wasieleski, D. M. (2012). Moral reasoning in computer-based task environments: Exploring the interplay between cognitive and technological factors on individuals’ propensity to break rules. Journal of Business Ethics, 110, 355376.CrossRefGoogle Scholar
Robinson, S. L. & Bennett, R. J. (1995). A typology of deviant workplace behaviors: A multidimensional scaling study. Academy of Management Journal, 38(2), 555572.Google Scholar
Rogers, M., Smoak, N. D., & Liu, J. (2006). Self-reported deviant computer behavior: A Big-5, moral choice, and manipulative exploitive behavior analysis. Deviant Behavior, 27(3), 245268.CrossRefGoogle Scholar
Rosse, J. G. & Hulin, C. L. (1985). Adaptation to work: An analysis of employee health, withdrawal, and change. Organizational Behavior and Human Decision Processes, 36(3), 324347.CrossRefGoogle Scholar
Salin, D. (2003a). Bullying and organisational politics in competitive and rapidly changing work environments. International Journal of Management and Decision Making, 4(1), 3546.CrossRefGoogle Scholar
Salin, D. (2003b). Ways of explaining workplace bullying: A review of enabling, motivating and precipitating structures and processes in the work environment. Human Relations, 56(10), 12131232.CrossRefGoogle Scholar
Scheier, R. (2001). Watching the watcher. Computer World, 35(34), 3637.Google Scholar
Shamsudin, F. M., Subramaniam, C., & Alshuaibi, A. S. (2012). The effect of HR practices, leadership style on cyberdeviance: The mediating role of organizational commitment. Journal of Marketing and Management, 3(1), 2248.Google Scholar
Sharma, S. K. & Gupta, J. N. D. (2003). Improving workers’ productivity and reducing Internet abuse. Journal of Computer Information Systems, 44(2), 7478.Google Scholar
Sheikh, A., Atashgah, M. S., & Adibzadegan, M. (2015). The antecedents of cyber-loafing: A case study in an Iranian copper industry. Computers in Human Behavior, 51, 172179.CrossRefGoogle Scholar
Shelton, A. K. & Skalski, P. (2014). Blinded by the light: Illuminating the dark side of social network use through content analysis. Computers in Human Behavior, 33, 339348.CrossRefGoogle Scholar
Sipior, J. C. & Ward, B. T. (2002). A strategic response to the broad spectrum of Internet abuse. Information Systems Management, 19(4), 7179.CrossRefGoogle Scholar
Skarlicki, D. P., van Jaarsveld, D. D., & Walker, D. D. (2008). Getting even for customer mistreatment: The role of moral identity in the relationship between customer interpersonal injustice and employee sabotage. Journal of Applied Psychology, 93(6), 13351347.CrossRefGoogle ScholarPubMed
Skinner, B. F. (1953). Science and Human Behavior. New York, NY: MacMillanGoogle Scholar
Spector, P. E. & Fox, S. (2010). Counterproductive work behavior and organizational citizenship behavior: Are they opposite forms of active behavior? Applied Psychology: An International Review, 59(1), 2139.CrossRefGoogle Scholar
Stewart, F. (2000). Internet acceptable use policies: navigating the management, legal, and technical issues. Information Systems Security, 9, 4653.CrossRefGoogle Scholar
Sticca, F. & Perren, S. (2013). Is cyberbullying worse than traditional bullying? Examining the differential roles of medium, publicity, and anonymity for the perceived severity of bullying. Journal of Youth and Adolescence, 42(5), 739750.CrossRefGoogle ScholarPubMed
Sturgeon, A. (1996). Telework: Threats, risks and solutions. Information Management & Computer Security, 4(2), 2738.CrossRefGoogle Scholar
Tajfel, H. (1982). Social psychology of intergroup relations. Annual Review of Psychology, 33(1), 139.CrossRefGoogle Scholar
Thornton, D., Gunningham, N. A., & Kagan, R. A. (2005). General deterrence and corporate environmental behavior. Law & Policy, 27(2), 262288.CrossRefGoogle Scholar
Urbaczewski, A. & Jessup, L.M. (2002). Does electronic monitoring of employee Internet usage work? Communications of the ACM, 45(1), 8083.CrossRefGoogle Scholar
Urgin, J. C. & Pearson, J. M. (2013). The effects of sanctions and stigmas on cyberloafing. Computers in Human Behavior, 29, 812820.Google Scholar
Väyrynen, K., Hekkala, R., & Liias, T. (2013). Knowledge protection challenges of social media encountered by organizations. Journal of Organizational Computing and Electronic Commerce, 23(1–2), 3455.CrossRefGoogle Scholar
Vigoda-Gadot, E. & Drory, A. (Eds.). (2006). Handbook of Organizational Politics. Cheltenham, UK: Edward Elgar Publishing.CrossRefGoogle Scholar
Vitak, J., Crouse, J., & LaRose, R. (2011). Personal Internet use at work: Understanding cyberslacking. 2009 Fifth International Conference on Intelligent Computing, 27(5), 17511759.Google Scholar
Wagner, D. T., Barnes, C. M., Lim, V. K. G., & Ferris, D. L. (2012). Lost sleep and cyberloafing: Evidence from the laboratory and a daylight saving time quasi-experiment. Journal of Applied Psychology, 97(5), 10681076.CrossRefGoogle Scholar
Weatherbee, T. G. (2007). Cyberaggression in the workplace: Construct development, operationalization, and measurement, Sobey’s School of Business, Saint Mary’s University, Halifax, NS.
Weatherbee, T. G. (2010). Counterproductive use of technology at work: Information & communication technologies and cyberdeviancy. Human Resource Management Review, 20(1), 3544.CrossRefGoogle Scholar
Weatherbee, T. G. & Kelloway, E. K. (2006). A case of cyberdeviancy: Cyberaggression in the workplace. In Kelloway, E. K., Barling, J., & Hurrell, J. J. (Eds.), Handbook of workplace violence (pp. 445487). Thousand Oaks, CA: Sage Publications.CrossRefGoogle Scholar
Wilkowski, B. M. & Robinson, M. D. (2008). The cognitive basis of trait anger and reactive aggression: An integrative analysis. Personality and Social Psychology Review, 12(1), 321.CrossRefGoogle ScholarPubMed
Wolfgang, M. F. (1957). Victim precipitated criminal homicide, Journal of Criminal Law and Criminology, 48(1), 111.CrossRefGoogle Scholar
Workman, M. (2010). A behaviorist perspective on corporate harassment online: Validation of a theoretical model of psychological motives. Computers & Security, 29(8), 831839.CrossRefGoogle Scholar
Workman, M. (2012). Rash impulsivity, vengefulness, virtual-self and amplification of ethical relativism on cyber-smearing against corporations. Computers in Human Behavior, 28(1), 217225.CrossRefGoogle Scholar
Zapf, D. & Gross, C. (2001). Conflict escalation and coping with workplace bullying: A replication and extension. European Journal of Work and Organizational Psychology, 10(4), 497522.CrossRefGoogle Scholar
Agarwal, R. & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361391. doi:10.1111/j.1540–5915.1999.tb01614.x.CrossRefGoogle Scholar
Ashforth, B. E., Kreiner, G. E., & Fugate, M. (2000). All in a day’s work: Boundaries and micro role transitions. Academy of Management Review, 25(3), 472491. doi: 10.5465/AMR2000.3363315.CrossRefGoogle Scholar
Baer, S. M., Jenkins, J. S., & Barber, L. K. (2016). Home is private … Do not enter! Introversion and sensitivity to work–home conflict. Stress and Health, 32(4), 441445. doi:10.1002/smi.2628.CrossRefGoogle Scholar
Bakker, A. B. & Demerouti, E. (2007). The job demands–resources model: State of the art. Journal of Managerial Psychology, 22(3), 309328. doi:10.1108/02683940710.CrossRefGoogle Scholar
Bakker, A., Demerouti, E., & Schaufeli, W. (2003). Dual processes at work in a call centre: An application of the job demands–resources model. European Journal of Work and Organizational Psychology, 12(4), 393417. doi:10.1016/S0001-8791(02)00030–1.CrossRefGoogle Scholar
Barber, L. K. & Santuzzi, A. M. (2015). Please respond ASAP: Workplace telepressure and employee recovery. Journal of Occupational Health Psychology, 20(2), 172189. doi:10.1037/a0038278.CrossRefGoogle ScholarPubMed
Barley, S. R., Meyerson, D. E., & Grodal, S. (2011). E-mail as a source and symbol of stress. Organization Science, 22(4), 887906. doi:10.1287/orsc.1100.0573.CrossRefGoogle Scholar
Bulger, C. A., Matthews, R. A., & Hoffman, M. E. (2007). Work and personal life boundary management: Boundary strength, work/personal life balance, and the segmentation integration continuum. Journal of Occupational Health Psychology, 12(4), 365. doi:10.1037/1076–8998.12.4.365.CrossRefGoogle ScholarPubMed
Burton-Jones, A. & Hubona, G. S. (2005). Individual differences and usage behavior: Revisiting a technology acceptance model assumption. ACM Sigmis Database, 36(2), 5877. doi:10.1145/1066149.1066155.CrossRefGoogle Scholar
Butts, M. M., Becker, W. J., & Boswell, W. R. (2015). Hot buttons and time sinks: The effects of electronic communication during nonwork time on emotions and work-nonwork conflict. Academy of Management Journal, 58(3), 763788. doi:10.5465/amj.2014.0170.CrossRefGoogle Scholar
Chen, Z., Powell, G. N., & Greenhaus, J. H. (2009). Work-to-family conflict, positive spillover, and boundary management: A person-environment fit approach. Journal of Vocational Behavior, 74(1), 8293. doi:10.1016/j.jvb.2008.10.009.CrossRefGoogle Scholar
Clark, S. C. (2000). Work/family border theory: A new theory of work/family balance. Human Relations, 53(6), 747770. doi:10.1177/0018726700536001.CrossRefGoogle Scholar
Clayton, R. B., Leshner, G., & Almond, A. (2015). The extended iSelf: The impact of iPhone separation on cognition, emotion, and physiology. Journal of Computer‐Mediated Communication, 20, 119135. doi:10.1111/jcc4.12109.CrossRefGoogle Scholar
Collins, A. M., Hislop, D., & Cartwright, S. (2016). Social support in the workplace between teleworkers, office‐based colleagues and supervisors. New Technology, Work and Employment, 31(2), 161175. doi:10.1111/ntwe.12065.CrossRefGoogle Scholar
Cooper, C. D. & Kurland, N. B. (2002). Telecommuting, professional isolation, and employee development in public and private organizations. Journal of Organizational Behavior, 23(4), 511532. doi:10.1002/job.145.CrossRefGoogle Scholar
Coovert, M. D. & Thompson, L. F. (2003). Technology and workplace health. In Quick, J. C. & Tetrick, L. E. (Eds.), Handbook of occupational health psychology (pp. 221241). Washington, DC: American Psychological Association.CrossRefGoogle Scholar
David, P. A. (1990). The dynamo and the computer: an historical perspective on the modern productivity paradox. The American Economic Review, 80(2), 355361.Google Scholar
Day, A. L. & Jreige, S. (2002). Examining Type A behavior battern to explain the relationship between job demands and psychosocial outcomes. Journal of Occupational Health Psychology, 7, 109120. doi:10.1037/1076–8998.7.2.109.CrossRefGoogle Scholar
Day, A., Paquet, S., Scott, N., & Hambley, L. (2012). Perceived information and communication technology (ICT) demands on employee outcomes: The moderating effect of organizational ICT support. Journal of Occupational Health Psychology, 17, 473491. doi:10.1037/a0029837.CrossRefGoogle ScholarPubMed
Day, A., Scott, N., & Kelloway, E. K. (2010). Information and communication technology: Implications for job stress and employee well-being. In Perrewé, P. L. & Ganster, D. C. (Eds.), New developments in theoretical and conceptual approaches to job stress (vol. 8, pp. 317350). Emerald Group Publishing. doi: 10.1108/S1479-3555(2010)0000008011.CrossRefGoogle Scholar
Deci, E. L. & Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109134. doi:10.1016/0092–6566(85)90023–6.Google Scholar
Deci, E. L. & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227268. doi:10.1207/S15327965PLI1104_01.CrossRefGoogle Scholar
Deci, E. L. & Ryan, R. M. (2002). Overview of self-determination theory: An organismic dialectical perspective. In Deci, E. L. & Ryan, R. M. (Eds.), Handbook of self-determination research (pp. 333). Rochester, NY: University Rochester Press.Google Scholar
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands– resources model of burnout. Journal of Applied Psychology, 86, 499512. doi:10.1037/0021–9010.86.3.499.CrossRefGoogle ScholarPubMed
Dewan, S. & Kraemer, K. L. (1998). International dimensions of the productivity paradox. Communications of the ACM, 41(8), 5662. doi:10.1145/280324.280333CrossRefGoogle Scholar
Dewett, T. & Jones, G. R. (2001). The role of information technology in the organization: A review, model, and assessment. Journal of Management, 27, 313346. doi:10.1177/014920630102700306.CrossRefGoogle Scholar
Diaz, I., Chiaburu, D. S., Zimmerman, R. D., & Boswell, W. R. (2012). Communication technology: Pros and cons of constant connection to work. Journal of Vocational Behavior, 80(2), 500508. doi:10.1016/j.jvb.2011.08.007.CrossRefGoogle Scholar
Ernst, D. (July 24, 2017) Wisconsin company to offer staff microchip implants: “The next evolution in payment systems.” The Washington Times. Retrieved from www.washingtontimes.com/news/2017/jul/24/three-square-market-to-offer-staff-microchip-impla/.
Gagné, M. & Deci, E. L. (2005). Self‐determination theory and work motivation. Journal of Organizational Behavior, 26(4), 331362. doi:10.1002/job.322.CrossRefGoogle Scholar
Grawitch, M. J., Ledford, G. E. Jr.,, Ballard, D. W., & Barber, L. K. (2009). Leading the healthy workforce: The integral role of employee involvement. Consulting Psychology Journal: Practice and Research, 61(2), 122135. doi:10.1037/a0015288.CrossRefGoogle Scholar
Griffin, A. (February 19, 2016). This is what the ‘i’ in ‘iPhone’ stands for. Business Insider. Retrieved from www.businessinsider.com/this-is-what-the-i-in-iphone-stands-for-2016–2.
Hackman, J. R. & Oldham, G. R. (1980). Work redesign. Reading, MA: Addison-Wesley.Google Scholar
Hair, M., Renaud, K. V., & Ramsay, J. (2007). The influence of self-esteem and locus of control on perceived email-related stress. Computers in Human Behavior, 23, 27912803. doi:10.1016/j.chb.2006.05.005.CrossRefGoogle Scholar
Hall, D. T. & Richter, J. (1988). Balancing work life and home life: What can organizations do to help? The Academy of Management Executive, 2(3), 213223. doi:10.5465/AME.1988.4277258.Google Scholar
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44, 513524. doi:10.1037/0003-066X.44.3.513.CrossRefGoogle ScholarPubMed
Jett, Q. R. & George, J. M. (2003). Work interrupted: A closer look at the role of interruptions in organizational life. Academy of Management Review, 28(3), 494507. doi:10.5465/AMR.2003.10196791.CrossRefGoogle Scholar
Kanter, R. M. (1977). Work and family in the United States: A critical review and agenda for research and policy. New York, NY: Russell Sage Foundation.Google Scholar
Karasek, R. A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24, 285308.CrossRefGoogle Scholar
Korunka, C. & Vitouch, O. (1999). Effects of the implementation of information technology on employees’ strain and job satisfaction: A context-dependent approach. Work & Stress, 13(4), 341363. doi:10.1080/02678379950019798.CrossRefGoogle Scholar
Kossek, E. E. & Lautsch, B. A. (2007). CEO of me: Creating a life that works in the flexible job age. Upper Saddle River, NJ: Prentice Hall, Pearson Education.Google Scholar
Kossek, E. E., Pichler, S., Bodner, T., & Hammer, L. B. (2011). Workplace social support and work–family conflict: A meta‐analysis clarifying the influence of general and work–family‐specific supervisor and organizational support. Personnel Psychology, 64(2), 289313. doi:10.1111/j.1744–6570.2011.01211.x.CrossRefGoogle ScholarPubMed
Kossek, E. E., Ruderman, M. N., Braddy, P. W., & Hannum, K. M. (2012). Work–nonwork boundary management profiles: A person-centered approach. Journal of Vocational Behavior, 81(1), 112128. doi:10.1016/j.jvb.2012.04.003.CrossRefGoogle Scholar
Kremer, W. (August 14, 2014). Should holiday email be deleted? BBC News. Retrieved from www.bbc.com/news/magazine-28786117.
Kulik, C. T., Oldham, G. R., & Hackman, J. R. (1987). Work design as an approach to person-environment fit. Journal of Vocational Behavior, 31(3), 278296. doi:10.1016/0001–8791(87)90044–3.CrossRefGoogle Scholar
Lazarus, R. S. & Folkman, S. (1984). Coping and adaptation. In Gentry, W. D. (Ed.), The handbook of behavioral medicine (pp. 282325). New York, NY: Guilford.Google Scholar
Leonardi, P. M., Treem, J. W., & Jackson, M. H. (2010). The connectivity paradox: Using technology to both decrease and increase perceptions of distance in distributed work arrangements. Journal of Applied Communication Research, 38(1), 85105. doi:10.1080/00909880903483599.CrossRefGoogle Scholar
Levy, B. & Spiller, P. T. (1994). The institutional foundations of regulatory commitment: a comparative analysis of telecommunications regulation. The Journal of Law, Economics, and Organization, 10(2), 201246. doi:10.1093/oxfordjournals.jleo.a036849.Google Scholar
Lin, B. C., Kain, J. M., & Fritz, C. (2013). Don’t interrupt me! An examination of the relationship between intrusions at work and employee strain. International Journal of Stress Management, 20(2), 7794. doi:10.1037/a0031637.CrossRefGoogle Scholar
Liu, C., Spector, P., & Jex, S. (2005). The relation of job control with job strains: A comparison of multiple data sources. Journal of Occupational and Organizational Psychology, 78(3), 325336. doi:10.1348/096317905X26002.CrossRefGoogle Scholar
Mack, E. (2017). Why the company putting ‘chip’ Implants in employees isn’t starting a trend. Forbes. Retrieved from www.forbes.com/sites/ericmack/2017/07/25/microchips-implant-three-square-market-wisconsin-chip/#28c86179463a.
Mamaghani, F. (2006). Impact of information technology on the workforce of the future: An analysis. International Journal of Management, 23(4), 845850.Google Scholar
Mazmanian, M., Orlikowski, W. J., & Yates, J. (2013). The autonomy paradox: The implications of mobile email devices for knowledge professionals. Organization science, 24, 13371357. doi:10.1287/orsc.1120.0806.CrossRefGoogle Scholar
Meijman, T. F, & Mulder, G. (1998). Psychological aspects of workload. In Drenth, P. J. D. & Thierry, H. (Eds.), Handbook of work and organizational psychology (vol. 2, pp. 533). Hove, UK: Psychology Press.Google Scholar
Mellner, C. (2016). After-hours availability expectations, work-related smartphone use during leisure, and psychological detachment: The moderating role of boundary control. International Journal of Workplace Health Management, 9, 146164. doi:10.1108/IJWHM-07–2015-0050.CrossRefGoogle Scholar
Miller, S. & Weckert, J. (2000). Privacy, the workplace and the internet. Journal of Business Ethics, 28, 255265. doi:10.1023/A: 1006232417265.CrossRefGoogle Scholar
Morgan, K., Morgan, M., & Hall, J. (2000). Psychological developments in high technology teaching and learning environments. British Journal of Educational Psychology, 31, 7179. doi:10.1111/1467–8535.00136.Google Scholar
Morganson, V. J., Major, D. A., Oborn, K. L., Verive, J. M., & Heelan, M. P. (2010). Comparing telework locations and traditional work arrangements: Differences in work-life balance support, job satisfaction, and inclusion. Journal of Managerial Psychology, 25(6), 578595. doi:10.1108/026839410110.CrossRefGoogle Scholar
Morris, D. Z. (2017). New French law bars work email after hours. Fortune. Retrieved from http://fortune.com/2017/01/01/french-right-to-disconnect-law/.
Moser, K. S. & Axtell, C. M. (2013). The role of norms in virtual work. Journal of Personnel Psychology, 12, 16. doi:10.1027/1866–5888/a000079.CrossRefGoogle Scholar
Nielsen, Y. & Koseoglu, O. (2007). Wireless networking in tunnelling projects. Tunnelling and Underground Space Technology, 22(3), 252261. doi:10.1016/j.tust.2006.08.004.CrossRefGoogle Scholar
Nippert-Eng, C. E. (1996). Home and work. Chicago, IL: University of Chicago Press.CrossRefGoogle Scholar
O’Driscoll, M. P., Brough, P., Timms, C., & Sawang, S. (2010). Engagement with information and communication technology and psychological well-being. In Perrewé, P. L. & Ganster, D. C. (Eds.), New developments in theoretical and conceptual approaches to job stress (vol. 8, pp. 269316). Bingley, UK: Emerald Group Publishing Limited.CrossRefGoogle Scholar
Ohly, S. & Latour, A. (2014). Work-related smartphone use and well-being in the evening. Journal of Personnel Psychology, 13, 174183. doi:10.1027/1866–5888/a000114.CrossRefGoogle Scholar
Oldham, G. R. & Hackman, J. R. (2010). Not what it was and not what it will be: The future of job design research. Journal of Organizational Behavior, 31(2‐3), 463479. doi:10.1002/job.678.CrossRefGoogle Scholar
Park, Y., Fritz, C., & Jex, S. M. (2011). Relationships between work-home segmentation and psychological detachment from work: The role of communication technology use at home. Journal of Occupational Health Psychology, 16, 457467. doi:10.1037/a0023594.CrossRefGoogle Scholar
Pew Research Center (2017). 10 facts about smartphones as the iPhone turns 10. Retrieved from www.pewresearch.org/fact-tank/2017/06/28/10-facts-about-smartphones/.
Piszczek, M. M. & Berg, P. (2014). Expanding the boundaries of boundary theory: Regulative institutions and work-family role management. Human Relations, 67(12), 14911512. doi:10.1177/0018726714524241.CrossRefGoogle Scholar
Porter, G. & Kakabadse, N. K. (2006). HRM perspectives on addiction to technology and work. Journal of Management Development, 25(6), 535560. doi:10.1108/0262171061067011.CrossRefGoogle Scholar
Ragu-Nathan, T. S., Tarafdar, M., & Ragu-Nathan, B. S. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19, 417433. doi:10.1287/isre.1070.0165.CrossRefGoogle Scholar
Ramirez, A., Walther, J. B., Burgoon, J. K., & Sunnafrank, M. (2002). Information-seeking strategies, uncertainty, and computer-mediated communication. Human Communication Research, 28, 213228. doi:10.1111/j.1468–2958.2002.tb00804.x.Google Scholar
Rennecker, J. & Godwin, L. (2005). Delays and interruptions: A self-perpetuating paradox of communication technology use. Information and Organization, 15(3), 247266. doi:10.1016/j.infoandorg.2005.02.004.CrossRefGoogle Scholar
Rosen, L. & Weil, M. (1997). TechnoStress: Coping with technology @work @home @play. Etobicoke, ON: John Wiley & Sons Canada.Google Scholar
Ryan, R. M. & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 6878. doi:10.1037110003-066X.55.1.68.CrossRefGoogle ScholarPubMed
Salomon, I. & Salomon, M. (1984). Telecommuting: The employee’s perspective. Technological Forecasting and Social Change, 25(1), 1528. doi:10.1016/0040–1625(84)90077–5.CrossRefGoogle Scholar
Sheldon, K. M. & Elliot, A. J. (1999). Goal striving, need satisfaction, and longitudinal well-being: The self-concordance model. Journal of Personality and Social Psychology, 76(3), 482497. doi:10.1037/0022–3514.76.3.482.CrossRefGoogle ScholarPubMed
Shu, Q., Tu, Q., & Wang, K. (2011). The impact of computer self-efficacy and technology dependence on computer-related technostress: A social cognitive theory perspective. International Journal of Human-Computer Interaction, 27(10), 923939. doi:10.1080/10447318.2011.555313.CrossRefGoogle Scholar
Smith, M. J., Carayon, P., Sanders, K. J., Lim, S. Y., & LeGrande, D. (1992). Employee stress and health complaints in jobs with and without electronic performance monitoring, Applied Ergonomics, 23, 1727. doi:10.1016/0003–6870(92)90006-H.CrossRefGoogle ScholarPubMed
Sonnentag, S. (2001). Work, recovery activities, and individual well-being: A diary study. Journal of Occupational Health Psychology, 6(3), 196210.CrossRefGoogle ScholarPubMed
Sonnentag, S. & Bayer, U. V. (2005). Switching off mentally: Predictors and consequences of psychological detachment from work during off-job time. Journal of Occupational Health Psychology, 10(4), 393414. doi:10.1037/1076–8998.10.4.393.CrossRefGoogle ScholarPubMed
Sonnentag, S. & Fritz, C. (2007). The Recovery Experience Questionnaire: Development and validation of a measure for assessing recuperation and unwinding from work. Journal of Occupational Health Psychology, 12(3), 204221. doi:10.1037/1076–8998.12.3.204.CrossRefGoogle Scholar
Sonnentag, S. & Fritz, C. (2015). Recovery from job stress: The stressor‐detachment model as an integrative framework. Journal of Organizational Behavior, 36, 72103. doi:10.1002/job.1924.CrossRefGoogle Scholar
Standen, P., Daniels, K., & Lamond, D. (1999). The home as a workplace: Work-family interaction and psychological well-being in telework. Journal of Occupational Health Psychology, 4, 368381.CrossRefGoogle ScholarPubMed
Stanton, J. M. & Weiss, E. M. (2000). Electronic monitoring in their own words: An exploratory study of employees’ experiences with new types of surveillance. Computers in Human Behavior, 16, 423440. doi:10.1016/S0747-5632(00)00018–2.CrossRefGoogle Scholar
Steinmueller, W. E. (2000). Will new information and communication technologies improve the “codification” of knowledge? Industrial and Corporate Change, 9, 361376. doi:10.1093/icc/9.2.361.CrossRefGoogle Scholar
Syvänen, A., Mäkiniemi, J. P., Syrjä, S., Heikkilä-Tammi, K., & Viteli, J. (July, 2016). When does the educational use of ICT become a source of technostress for Finnish teachers? In Seminar. Net: Media, Technology & Life-Long Learning (Vol. 12, No. 2).Google Scholar
Tarafdar, M., Tu, Q., & Ragu-Nathan, T. S. (2010). Impact of technostress on end-user satisfaction and performance. Journal of Management Information Systems, 27, 303334. doi:10.2753/MIS0742-1222270311.CrossRefGoogle Scholar
Ter Hoeven, C. L., van Zoonen, W., & Fonner, K. L. (2016). The practical paradox of technology: The influence of communication technology use on employee burnout and engagement. Communication Monographs, 83(2), 239263. doi:10.1080/03637751.2015.1133920.CrossRefGoogle ScholarPubMed
Thomée, S., Eklöf, M., Gustafsson, E., Nilsson, R., & Hagberg, M. (2007). Prevalence of perceived stress, symptoms of depression and sleep disturbances in relation to information and communication technology (ICT) use among young adults–an explorative prospective study. Computers in Human Behavior, 23(3), 13001321.CrossRefGoogle Scholar
Tims, M., Bakker, A. B., & Derks, D. (2013). The impact of job crafting on job demands, job resources, and well-being. Journal of Occupational Health Psychology, 18(2), 230. doi:10.1037/a0032141.CrossRefGoogle ScholarPubMed
Tomaskovic-Devey, D. & Risman, B. J. (1993). Telecommuting innovation and organization: a contingency theory of labor process change. Social Science Quarterly, 74(2), 367385.Google Scholar
Vasagar, J. (August 31, 2013). Out of hours working banned by German labour ministry. The Telegraph. Retrieved from www.telegraph.co.uk/news/worldnews/europe/germany/10276815/Out-of-hours-working-banned-by-German-labour-ministry.html.
Venkatesh, V. & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24, 115139. doi:10.2307/3250981.CrossRefGoogle Scholar
Wall, T. D., Jackson, P. R., Mullarkey, S., & Parker, S. K. (1996). The demands – control model of job strain: A more specific test. Journal of Occupational and Organizational Psychology, 69(2), 153166. doi:10.1111/j.2044–8325.1996.tb00607.x.CrossRefGoogle Scholar
Wang, A. (2017). France gives employees ‘right to disconnect’ from work emails. The Star. Retrieved from www.thestar.com/news/world/2017/01/02/france-gives-employees-right-to-disconnect-from-work-emails.html.
Weatherbee, T. & Kelloway, E. K. (2006). A case of cyberdeviancy: Cyberaggression in the workplace. In Kelloway, E. K., Barling, J., & Hurrell, J. J. (Eds.), Handbook of workplace violence (pp. 445487). Thousand Oaks, CA: Sage Publications.CrossRefGoogle Scholar
Webster, D. M. & Kruglanski, A. W. (1994). Individual differences in need for cognitive closure. Journal of Personality and Social Psychology, 67(6), 10491062. doi:10.1037/0022–3514.67.6.1049.CrossRefGoogle ScholarPubMed
Wei, R. & Hwei Lo, V. (2006). Staying connected while on the move: Cell phone use and social connectedness. New Media & Society, 8, 5372. doi:10.1177/1461444806059870.CrossRefGoogle Scholar
Whitley, B. E. (1997). Gender differences in computer-related attitudes and behavior: A meta-analysis. Computers in Human Behavior, 13(1), 122. doi:10.1016/S0747-5632(96)00026-X.CrossRefGoogle Scholar
Wilkes, S. M., Barber, L. K., & Rogers, A. P. (2017). Development and validation of the Workplace Interruptions Measure. Stress and Health, 34, 113. doi:10.1002/smi.2765.Google ScholarPubMed
Wood, C. (2001). Dealing with tech rage. MacLean’s, 114(12), 4142.Google Scholar
Wrzesniewski, A. & Dutton, J. E. (2001). Crafting a job: Revisioning employees as active crafters of their work. Academy of Management Review, 26(2), 179201. doi:10.5465/AMR.2001.4378011.CrossRefGoogle Scholar
Ackerman, P. L. (1988). Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General, 117, 288318. doi.org/10.1037//0096–3445.117.3.288.CrossRefGoogle Scholar
Anderson, M. & Perrin, A. (2017). Tech adoption climbs among older adults. Washington, DC: Pew Research Center.Google Scholar
Arthur, W., Doverspike, D., Muñoz, G. J., Taylor, J. E., & Carr, A. E. (2014). The use of mobile devices in high-stakes remotely delivered assessments and testing. International Journal of Selection and Assessment, 22(2), 113123. doi.org/10.1111/ijsa.12062.CrossRefGoogle Scholar
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 330. doi.org/10.1257/jep.29.3.3.CrossRefGoogle Scholar
Badger, J. M., Kaminsky, S. E., & Behrend, T. S. (2014). Media richness and information acquisition in internet recruitment. Journal of Managerial Psychology, 29(7), 866883. doi.org/10.1108/JMP-05–2012-0155.CrossRefGoogle Scholar
Bakker, A. B. & Demerouti, E. (2007). The job demands resources model: State of the art. Journal of Managerial Psychology, 22(3), 309328. doi.org/10.1108/02683940710733115.CrossRefGoogle Scholar
Baltes, P. B. & Baltes, M. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In Baltes, P. B. & Baltes, M. M. (Eds.), Successful aging: Perspectives from the behavioral sciences (pp. 134). New York, NY: Cambridge University Press.CrossRefGoogle Scholar
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191215. doi.org/10.1037//0033-295x.84.2.191.CrossRefGoogle Scholar
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–47. doi.org/10.1037//0003-066x.37.2.122.CrossRefGoogle Scholar
Barley, S. R., Meyerson, D. E., & Grodal, S. (2011). E-mail as a source and symbol of stress. Organization Science, 22(4), 887906. doi.org/10.1287/orsc.1100.0573.CrossRefGoogle Scholar
Beier, M. E. (2015). Strategies for engaging and retaining mature workers. SHRM-SIOP Science of HR Series. Retrieved from www.shrm.org/hr-today/trends-and-forecasting/special-reports-and-expert-views/Documents/SHRM-SIOP%20Engaging%20and%20Retaining%20Mature%20Workers.pdf.
Beier, M. E. & Ackerman, P. L. (2005). Age, ability, and the role of prior knowledge on the acquisition of new domain knowledge: Promising results in a real-world learning environment. Psychology and Aging, 20(2), 341355. doi.org/10.1037/0882–7974. 20. 2.341.CrossRefGoogle Scholar
Beier, M. E., Teachout, M. S., & Cox, C. B. (2012). The training and development of an aging workforce. In Hedge, J. W. & Borman, W. C. (Eds.), The Oxford handbook of work and aging (pp. 436453). New York, NY: Oxford University Press.CrossRefGoogle Scholar
Beier, M. E., Torres, W. J., & Gilberto, J. M. (2017). Continuous development throughout a career: A lifespan perspective on autonomous learning. In Ellingson, J. E. & Noe, R. A. (Eds.), Autonomous learning in the workplace (pp. 179200). New York, NY: Routledge.CrossRefGoogle Scholar
Blanchard-Fields, F., Jahnke, H. C., & Camp, C. (1995). Age differences in problem-solving style: The role of emotional salience. Psychology and Aging, 10(2), 173180. doi.org/10.1037/0882–7974.10.2.173.CrossRefGoogle ScholarPubMed
Bock, T. (2015). The future of construction automation: Technological disruption and the upcoming ubiquity of robotics. Automation in Construction, 59, 113121. doi.org/10.1016/j.autcon.2015.07.022.CrossRefGoogle Scholar
Broeders, I. A. (2014). Robotics: The next step? Best Practice & Research Clinical Gastroenterology, 28(1), 225232. doi.org/10.1016/j.bpg.2013.12.001.CrossRefGoogle ScholarPubMed
Bureau of Labor Statistics, US Department of Labor. (2014). Share of labor force projected to rise for people age 55 and over and fall for younger age groups. Retrieved from www.bls.gov/opub/ted/2014/ted_20140124.htm.
Butler, R. N. (1975). Psychiatry and the elderly: An overview. The American Journal of Psychiatry, 132(9), 893900. doi.org/10.1176/ajp.132.9.893.Google ScholarPubMed
Callahan, J. S., Kiker, D. S., & Cross, T. (2003). Does method matter? A meta-analysis of the effects of training method on older learner training performance. Journal of Management, 29(5), 663680. doi.org/10.1016/s0149-2063(03)00029–1.CrossRefGoogle Scholar
Campbell, J. P. & Pritchard, R. (1976). Motivation theory in industrial and organizational psychology. In Handbook of industrial and organizational psychology (pp. 63130). Chicago: Rand McNally.Google Scholar
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York, NY: Cambridge University Press.CrossRefGoogle Scholar
Carstensen, L. L., Isaacowitz, D. M., & Charles, S. T. (1999). Taking time seriously: A theory of socioemotional selectivity. American Psychologist, 54(3), 165181. doi.org/10.1037/0003-066X.54.3.165.CrossRefGoogle ScholarPubMed
Carstensen, L. L., Pasupathi, M., Mayr, U., & Nesselroade, J. R. (2000). Emotional experience in everyday life across the adult life span. Journal of Personality and Social Psychology, 79(4), 644655. doi.org/10.1037/0022–3514.79.4.644.CrossRefGoogle ScholarPubMed
Carter, M. & Beier, M. E. (2010). The effectiveness of error management training with working-aged adults. Personnel Psychology, 63(3), 641675. doi.org/10.1111/j.1744–6570.2010.01183.x.CrossRefGoogle Scholar
Cascio, W. F. (2014). Looking back, looking forward: Technology in the workplace. In Coovert, M. D., Thompson, L. F., Coovert, M. D., & Thompson, L. F. (Eds.), The psychology of workplace technology (pp. 307313). New York, NY: Routledge/Taylor & Francis Group.Google Scholar
Cascio, W. F. & Montealegre, R. (2016). How technology is changing work and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3(1), 349375. doi.org/10.1146/annurev-orgpsych-041015–062352.CrossRefGoogle Scholar
Cattell, R. B. (1987). Intelligence: Its structure, growth and action (vol. 35). New York, NY: Elsevier.Google Scholar
Chadwick-Dias, A., McNulty, M., & Tullis, T. (2003). Web usability and age: How design changes can improve performance. In CUU ’03 proceedings of the 2003 conference on universal usability (pp. 3037). doi.org/10.1145/960201.957212.CrossRef
Chaparro, A., Rogers, M., Fernandez, J., Bohan, M., Sang Dae, C., & Stumpfhauser, L. (2000). Range of motion of the wrist: Implications for designing computer input devices for the elderly. Disability and Rehabilitation, 22(13–14), 633637. doi.org/10.1080/09638280050138313.CrossRefGoogle ScholarPubMed
Charness, N. & Boot, W. R. (2009). Aging and information technology use: Potential and barriers. Current Directions in Psychological Science, 18(5), 253258. doi.org/10.1111/j.1467–8721.2009.01647.x.CrossRefGoogle Scholar
Charness, N. & Czaja, S. J. (2005). Older worker training: What we know and don’t know (No. AARP Public Policy Institute #2006–22.). Washington, DC: AARP. Retrieved from https://assets.aarp.org/rgcenter/econ/2006_22_worker.pdf.
Charness, N., Kelley, C. L., Bosman, E. A., & Mottram, M. (2001). Word-processing training and retraining: Effects of adult age, experience, and interface. Psychology and Aging, 16(1), 110127. doi.org/10.1037//0882–7974.16.1.110.CrossRefGoogle Scholar
Chasteen, A. L., Bhattacharyya, S., Horhota, M., Tam, R., & Hasher, L. (2005). How feelings of stereotype threat influence older adults’ memory performance. Experimental Aging Research, 31(3), 235260. doi.org/10.1080/03610730590948177.CrossRefGoogle ScholarPubMed
Chen, K. & Chan, A. H. S. (2014). Gerontechnology acceptance by elderly Hong Kong Chinese: A senior technology acceptance model (STAM). Ergonomics, 57(5), 635652. doi.org/10.1080/00140139.2014.895855.CrossRefGoogle Scholar
Chiu, W. C. K., Chan, A. W., Snape, E., & Redman, T. (2001). Age stereotypes and discriminatory attitudes towards older workers: an east-west comparison. Human Relations, 54(5), 629661. doi.org/10.1177/0018726701545004.CrossRefGoogle Scholar
Colby, S. L. & Ortman, J. M. (2015). Projections of the size and composition of the US population: 2014 to 2060 (Current Population Reports No. P25-1143). Washington, DC: US Census Bureau, pp. 113.
Compeau, D. R. & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189211. doi.org/10.2307/249688.CrossRefGoogle Scholar
Craik, F. I. & Anderson, N. D. (1999). Applying cognitive research to problems of aging. In Gopher, D. & Koriat, A. (Eds.), Attention and performance XVII – Cognitive regulation of performance: Interaction of theory and application (pp. 583615). Cambridge, MA: The MIT Press.Google Scholar
Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006). Factors predicting the use of technology: Findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and Aging, 21(2), 333352. doi.org/10.1037/0882–7974.21.2.333.CrossRefGoogle Scholar
Czaja, S. & Lee, C. C. (2007). Information technology and older adults. In Sears, A. & Jacko, J. A. (Eds.), Human-computer interaction: Designing for diverse users and domains (2nd edn., pp. 777792). New York, NY: Erlbaum.Google Scholar
Czaja, S. J., Sharit, J., Charness, N., Fisk, A. D., & Rogers, W. (2001). The Center for Research and Education on Aging and Technology Enhancement (CREATE): A program to enhance technology for older adults. Gerontechnology, 1(1), 5059. doi.org/10.4017/gt.2001.01.01.005.00.CrossRefGoogle Scholar
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319340. doi.org/10.2307/249008.CrossRefGoogle Scholar
Davis, K. A. & Songer, A. D. (2009). Resistance to IT change in the AEC industry: Are the stereotypes true? Journal of Construction Engineering and Management, 135(12), 13241333. doi.org/10.1061/(asce)co.1943–7862.0000108.CrossRefGoogle Scholar
De Raedt, R. & Ponjaert-Kristoffersen, I. (2000). The relationship between cognitive/neuropsychological factors and car driving performance in older adults. Journal of the American Geriatrics Society, 48(12), 16641668. doi.org/10.1111/j.1532–5415.2000.tb03880.x.CrossRefGoogle ScholarPubMed
Dienel, H. L., Peine, A., & Cameron, H. (2004). New participative tools in product development for seniors. In Burdick, D. C. & Kwon, S. (Eds.), Gerotechnology: Research and practice in technology and aging (pp. 1841). New York, NY: Springer.Google Scholar
Dijkstra, K., Charness, N., Yordon, R., & Price, J. (2015). The role of coping, relaxation, and age on stress and task performance with new technology. Gerontechnology, 13(4), 388395. doi.org/10.4017/gt.2015.13.4.003.00.CrossRefGoogle Scholar
Dyck, J. L. & Smither, J. A. A. (1994). Age differences in computer anxiety: The role of computer experience, gender and education. Journal of Educational Computing Research, 10(3), 239248. doi.org/10.2190/E79U-VCRC-EL4E-HRYV.CrossRefGoogle Scholar
Economist Intelligence Unit. (2011). A silver opportunity? Rising longevity and its implications for business. Retrieved from http://graphics.eiu.com/upload/eb/Axa_Longevity-EIU_Web.pdf.
El Ouirdi, M., Segers, J., El Ouirdi, A., & Pais, I. (2015). Predictors of job seekers’ self-disclosure on social media. Computers in Human Behavior, 53, 112. doi.org/10.1016/j.chb.2015.06.039.CrossRefGoogle Scholar
Elias, P. K., Elias, M. F., Robbins, M. A., & Gage, P. (1987). Acquisition of word-processing skills by younger, middle-age, and older adults. Psychology and Aging, (4), 340348. doi.org/10.1037//0882–7974.2.4.340.CrossRefGoogle Scholar
Fisk, A. D., Czaja, S. J., Rogers, W. A., Charness, N., & Sharit, J. (2009). Designing for older adults: Principles and creative human factors approaches (2nd edn.). Boca Raton, FL: CRC Press.Google Scholar
Fiske, S. T. & Taylor, S. E. (2013). Social cognition: From brains to culture. Los Angeles, CA Sage.CrossRefGoogle Scholar
Frey, C. B. & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254280. doi.org/10.1016/j.techfore.2016.08.019.CrossRefGoogle Scholar
Ford, J. K., Quiñones, M. A., Sego, D. J., & Sorra, J. S. (1992). Factors affecting the opportunity to perform trained tasks on the job. Personnel Psychology, 45(3), 511527. doi.org/10.1111/j.1744–6570.1992.tb00858.x.CrossRefGoogle Scholar
Fozard, J. L. (2017). Epilogue: A 10-year growth spurt in applications to aging in human factors and ergonomics. In Kwon, S. & Kwon, S. (Eds.), Gerontechnology: Research, practice, and principles in the field of technology and aging (pp. 485502). New York, NY: Springer Publishing.Google Scholar
Glass, J. C. J. (1996). Factors affecting learning in older adults. Educational Gerontology, 22(4), 359372. doi.org/10.1080/0360127960220405.CrossRefGoogle Scholar
Goldstein, I. L. & Ford, K. (2002). Training in organizations: Needs assessment, development, and evaluation (4th edn.). Belmont, CA: Wadsworth.Google Scholar
Gregor, P., Newell, A. F., & Zajicek, M. (2002). Designing for dynamic diversity: Interfaces for older people. In Proceedings of the fifth international ACM conference on assistive technologies (pp. 151156). New York, NY: Association for Computer Machinery. doi.org/10.1145/638249.638277.CrossRefGoogle Scholar
Hawthorn, D. (2000). Possible implications of aging for interface designers. Interacting with Computers, 12(5), 507528. doi.org/10.1016/s0953-5438(99)00021–1.CrossRefGoogle Scholar
Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2008). Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest, 9(1), 165. doi.org/10.1111/j.1539–6053.2009.01034.x.CrossRefGoogle ScholarPubMed
Hess, T. M., Auman, C., Colcombe, S. J., & Rahhal, T. A. (2003). The impact of stereotype threat on age differences in memory performance. The Journals of Gerontology: Series B, 58(1), 311. doi.org/10.1093/geronb/58.1.p3.CrossRefGoogle ScholarPubMed
Hess, T. M. & Blanchard-Fields, F. (1999). Social cognition and aging. San Diego, CA: Academic Press.Google Scholar
Hummert, M. L., Garstka, T. A., Shaner, J. L., & Strahm, S. (1994). Stereotypes of the elderly held by young, middle-aged, and elderly adults. Journal of Gerontology, 49(5), 240249. doi.org/10.1093/geronj/49.5.p240.CrossRefGoogle ScholarPubMed
Ilgen, D. R. & Youtz, M. A. (1986). Factors affecting the evaluation and development of minorities in organizations. In Bowland, K. & Ferris, G. (Eds.), Research in personnel and human resource management: A research annual (pp. 307337). Greenwich, CT: JAI Press.Google Scholar
Ilmarinen, J., Tuomi, K., & Klockars, M. (1997). Changes in the work ability of active employees over an 11-year period. Scandinavian Journal of Work, Environment & Health, 23, 4957.Google ScholarPubMed
Kanfer, R. (1990). Motivation theory and industrial and organizational psychology. In Dunnette, M. D. & Hough, L. M. (Eds.), Handbook of industrial and organizational psychology (vol. 1, 2nd edn., pp. 75170). Palo Alto, CA: Consulting Psychologists Press, Inc.Google Scholar
Kanfer, R. & Ackerman, P. L. (2004). Aging, adult development, and work motivation. The Academy of Management Review, 29(3), 440458. doi.org/10.2307/20159053.CrossRefGoogle Scholar
KarasekJr, R. A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24(2), 285308. doi.org/10.2307/2392498.CrossRefGoogle Scholar
Kelley, C. L. & Charness, N. (1995). Issues in training older adults to use computers. Behaviour & Information Technology, 14(2), 107120. doi.org/10.1080/01449299508914630.CrossRefGoogle Scholar
Kooij, D. T. A. M., de Lange, A. H., Jansen, P. G. W., Kanfer, R., & Dikkers, J. S. E. (2011). Age and work-related motives: Results of a meta-analysis. Journal of Organizational Behavior, 32(2), 197225. doi.org/10.1002/job.665.CrossRefGoogle Scholar
Koster, A., Bosma, H., Broese van Groenou, M. I., Kempen, G. I., Penninx, B. W., van Eijk, J. T., & Deeg, D. J. (2006). Explanations of socioeconomic differences in changes in physical function in older adults: results from the Longitudinal Aging Study Amsterdam. BMC Public Health, 6(1). doi.org/10.1186/1471–2458-6–244.CrossRefGoogle ScholarPubMed
Kubeck, J. E., Delp, N. D., Haslett, T. K., & McDaniel, M. A. (1996). Does job-related training performance decline with age? Psychology and Aging, 11(1), 92107. doi.org/10.1037/0882–7974.11.1.92.CrossRefGoogle ScholarPubMed
Kwon, S. (2017). Synopsis: Lessons learned, long-term guidelines, and how to live a livable life in old age with likable technologies. In Kwon, S. & Kwon, S. (Eds.), Gerontechnology: Research, practice, and principles in the field of technology and aging (pp. 463483). New York, NY: Springer Publishing.Google Scholar
Lagacé, M., Houssein, C., Zaky, R., & Firzly, N. (2016). From psychological to digital disengagement: Exploring the link between ageism and the “grey digital divide.” Revista Română de Comunicare Şi Relaţii Publice, 18(1), 6575. doi.org/10.21018/rjcpr.2016.1.202.Google Scholar
Laganà, L. (2008). Enhancing the attitudes and self-efficacy of older adults toward computers and the Internet: Results of a pilot study. Educational Gerontology, 34(9), 831–43. doi.org/10.1080/03601270802243713.CrossRefGoogle ScholarPubMed
Liyanagunawardena, T. R. & Williams, S. A. (2016). Elderly learners and massive open online courses: A review. Interactive Journal of Medical Research, 5(1), e1. doi.org/10.2196/ijmr.4937.CrossRefGoogle ScholarPubMed
Major, B. & Schmader, T. (1998). Coping with stigma through psychological disengagement. In Swim, J. K. & Stangor, C. (Eds.), Prejudice: The target’s perspective (pp. 219241). San Diego, CA: Academic Press.CrossRefGoogle Scholar
Martin, S. (1996). Effective visual communication for graphical user interfaces. Retrieved from http://web.cs.wpi.edu/~matt/courses/cs563/talks/smartin/int_design.html.
Mayhorn, C. B., Rogers, W. A., & Fisk, A. D. (2004). Designing technology based on cognitive aging principles. In Burdock, D. C. & Kwon, S. (Eds.), Gerotechnology: Research and practice in technology and aging; A textbook and reference for multiple disciplines (pp. 4353). New York, NY: Springer.Google Scholar
Mayhorn, C. B., Stronge, A. J., McLaughlin, A. C., & Rogers, W. A. (2004). Older adults, computer training, and the systems approach: A formula for success. Educational Gerontology, 30(3), 185203. doi.org/10.1080/03601270490272124.CrossRefGoogle Scholar
Maurer, T. J. (2001). Career-relevant learning and development, worker age, and beliefs about self-efficacy for development. Journal of Management, 27(2), 123140. doi.org/10.1016/S0149-2063(00)00092–1.CrossRefGoogle Scholar
McGrew, K. S. (2005). The Cattell-Horn-Carroll theory of cognitive abilities: Past, present, and future. In Flanagan, D. P. & Harrison, P. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 136181). New York, NY: Guilford Press.Google Scholar
Melenhorst, A.-S., Rogers, W. A., & Bouwhuis, D. G. (2006). Older adults’ motivated choice for technological innovation: Evidence for benefit-driven selectivity. Psychology and Aging, 21(1), 190195. doi.org/10.1037/0882–7974.21.1.190.CrossRefGoogle ScholarPubMed
Millward, P. (2003). The “grey digital divide”: Perception, exclusion and barriers of access to the Internet for older people. First Monday, 8 (7). Retrieved from http://firstmonday.org/ojs/index.php/fm/article/view/1066/986.CrossRefGoogle Scholar
Mitzner, T. L., Fausset, C. B., Boron, J. B., Adams, A. E., Dijkstra, K., Lee, C. C., … Fisk, A. D. (2008). Older adults’ training preferences for learning to use technology. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 52(26), 20472051. doi.org/10.1177/154193120805202603.CrossRefGoogle ScholarPubMed
Mitzner, T. L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J., … Sharit, J. (2010). Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior, 26(6), 17101721. doi.org/10.1016/j.chb. 2010.06.020.CrossRefGoogle Scholar
Morrell, R., Park, D., Mayhorn, C., & Echt, K. (1996). Electronic technology and older adults. Presented at the International Conference on Memory, Albano Terme, Italy.
Morris, M. G. & Venkatesh, V. (2000). Age differences in technology adoption decisions: Implications for a changing work force. Personnel Psychology, 53(2), 375403. doi.org/10.1111/j.1744–6570.2000.tb00206.x.CrossRefGoogle Scholar
Nakai, Y., Chang, B., Snell, A. F., & Fluckinger, C. D. (2011). Profiles of mature job seekers: Connecting needs and desires to work characteristics. Journal of Organizational Behavior, 32(2), 155172. doi.org/10.1002/job.697.CrossRefGoogle Scholar
Namazi, K. H. & McClintic, M. (2003). Computer use among elderly persons in long-term care facilities. Educational Gerontology, 29(6), 535550. doi.org/10.1080/713844391.CrossRefGoogle Scholar
Nelson, T. D. (2004). Ageism: Stereotyping and prejudice against older persons. Cambridge, MA: MIT Press.Google Scholar
Nokelainen, P., Nevalainen, T., & Niemi, K. (2018). Mind or machine? Opportunities and limits of automation. In Harteis, C. (Ed.), The impact of digitalization in the workplace (pp. 1324). Cham: Springer. doi.org/10.1007/978–3-319–63257-5_2.CrossRefGoogle Scholar
Olson, K. E., O’Brien, M. A., Rogers, W. A., & Charness, N. (2011). Diffusion of technology: frequency of use for younger and older adults. Ageing International, 36(1), 123145. doi.org/10.1007/s12126-010–9077-9.CrossRefGoogle ScholarPubMed
Omori, M., Watanabe, T., Takai, J., Takada, H., & Miyao, M. (2002). Visibility and characteristics of the mobile phones for elderly people. Behaviour & Information Technology, 21(5), 313316. doi.org/10.1080/0144929021000048466.CrossRefGoogle Scholar
Organisation for Economic Co-operation and Development (OECD) (2002). OECD information technology outlook. Retrieved from www.oecd.org/sti/ieconomy/1933354.pdf.
Pak, R. & McLaughlin, A. (2010). Designing displays for older adults. Baton Rouge, LA: CRC Press.CrossRefGoogle Scholar
Pew Research Center (2017). Internet/broadband fact sheet. Washington, DC. Retrieved from www.pewinternet.org/fact-sheet/internet-broadband/.
Posthuma, R. A. & Campion, M. A. (2009). Age stereotypes in the workplace: Common stereotypes, moderators, and future research directions. Journal of Management, 35(1), 158188. doi.org/10.1177/0149206308318617.CrossRefGoogle Scholar
Poynton, T. A. (2005). Computer literacy across the lifespan: A review with implications for educators. Computers in Human Behavior, 21(6), 861872. doi.org/10.1016/j.chb.2004.03.004.CrossRefGoogle Scholar
Purcell, K. & Rainie, L. (December 30, 2014). Technology’s Impact on Workers. Retrieved April 1, 2017, from www.pewinternet.org/2014/12/30/technologys-impact-on-workers/
Rau, B. L. & Adams, G. A. (2005). Attracting retirees to apply: Desired organizational characteristics of bridge employment. Journal of Organizational Behavior, 26(6), 649660. doi.org/10.1002/job.330.CrossRefGoogle Scholar
Reed, K., Doty, D. H., & May, D. R. (2005). The impact of aging on self-efficacy and computer skill acquisition. Journal of Managerial Issues, 17(2), 212228. www.jstor.org/stable/40604496.Google Scholar
Rouiller, J. Z. & Goldstein, I. L. (1997). The relationship between organizational transfer climate and positive transfer of training. In Russ-Eft, D. F., Preskill, H. S., & Sleezer, C. (Eds.), Human resource development review: Research and implications (pp. 330347). Thousand Oaks, CA: Sage Publications.Google Scholar
Ryan, A. M. & Ployhart, R. E. (2014). A century of selection. Annual Review of Psychology, 65(1), 693717. doi.org/10.1146/annurev-psych-010213–115134.CrossRefGoogle Scholar
Salthouse, T. A. (2010). Major issues in cognitive aging. New York, NY: Oxford University Press.Google Scholar
Schieber, F. (2013). Aging and the senses. In Birren, J. E., Cohen, G. D., Sloane, R. B., Lebowitz, B. D., Deutchman, D. E., Wykle, M., & Hooyman, N. R. (Eds.), Handbook of mental health and aging (pp. 251305). San Diego, CA: Academic Press.Google Scholar
Scialfa, C. T., Ho, G., & Laberge, J. (2004). Perceptual aspects of gerontechnology. In Burdick, D. C. & Kwon, S. (Eds.), Gerotechnology: Research and practice in technology and aging (pp. 1841). New York, NY: Springer.Google Scholar
Sharit, J., Czaja, S. J., Hernandez, M. A., & Nair, S. N. (2009). The employability of older workers as teleworkers: An appraisal of issues and an empirical study. Human Factors and Ergonomics in Manufacturing, 19(5), 457477. doi.org/10.1002/hfm.20138.CrossRefGoogle ScholarPubMed
Singh, S. (2000). Designing intelligent interfaces for users with memory and language limitations. Aphasiology, 14(2), 157177. doi.org/10.1080/026870300401531.CrossRefGoogle Scholar
Sjölinder, M. (2006). Age-related cognitive decline and navigation in electronic environments. (Unpublished doctoral dissertation). Stockholm University, Stockholm, Sweden.
Smith, A. (2014). Older adults and technology use. Retrieved from www.pewinternet.org/2014/04/03/older-adults-and-technology-use/
Smith, A. (2015). Searching for work in the digital era. Retrieved from www.pewinternet.org/2015/11/19/searching-for-work-in-the-digital-era/
Sweller, J. (2011). Cognitive load theory. In Mestre, J. P., & Ross, B. H. (Eds.), The psychology of learning and motivation: Cognition in education (vol. 55, pp. 3776). San Diego, CA: Elsevier Academic Press.CrossRefGoogle Scholar
Tannenbaum, S. I. (1997). Enhancing continuous learning: Diagnostic findings from multiple companies. Human Resource Management, 36(4), 437452. doi.org/10.1002/(sici)1099-050x(199724)36:4<437::aid-hrm7>3.3.co;2–43.0.CO;2-W>CrossRefGoogle Scholar
Thompson, L. F. & Mayhorn, C. B. (2012). Aging workers and technology. In Hedge, J. W. & Borman, W. C. (Eds.), The Oxford handbook of work and aging (pp. 341361). New York, NY: Oxford University Press.Google Scholar
Timiras, P. S. (2007). Physiological basis of aging and geriatrics. Boca Raton: CRC Press.CrossRefGoogle Scholar
Tippins, N. T. (2009). Internet alternatives to traditional proctored testing: Where are we now? Industrial and Organizational Psychology, 2(1), 210. doi.org/10.1111/j.1754–9434.2008.01097.x.CrossRefGoogle Scholar
Truxillo, D. M., Cadiz, D. M., & Hammer, L. B. (2015). Supporting the aging workforce: A review and recommendations for workplace intervention research. Annual Review of Organizational Psychology and Organizational Behavior, 2(1), 351381. doi.org/10.1146/annurev-orgpsych-032414–111435.CrossRefGoogle Scholar
United Nations Department of Economic and Social Affairs, Population Division. (2015). World population ageing 2015 (No. ST/ESA/SER.A/390). Retrieved from www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2015_Report.pdf.
U. S. Department of Health & Human Services (October 8, 2013). Usability evaluation basics. Retrieved from www.usability.gov/what-and-why/usability-evaluation.html
van Deursen, A. & van Dijk, J. (2011). Internet skills and the digital divide. New Media & Society, 13(6), 893911. doi.org/10.1177/1461444810386774.CrossRefGoogle Scholar
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425478. doi.org/10.2307/30036540.CrossRefGoogle Scholar
Vroom, V. H. (1964). Work and motivation. New York, NY: John Wiley & Sons.Google Scholar
Wagner, N., Hassanein, K., & Head, M. (2010). Computer use by older adults: A multi-disciplinary review. Computers in Human Behavior, 26(5), 870882. doi.org/10.1016/j.chb.2010.03.029.CrossRefGoogle Scholar
Wandke, H., Sengpiel, M., & Sönksen, M. (2012). Myths about older people’s use of information and communication technology. Gerontology, 58(6), 564570. doi.org/10.1159/000339104.CrossRefGoogle ScholarPubMed
Whitbourne, S. K. (2002). The aging individual: Physical and psychological perspectives (2nd edn.). New York, NY: Springer Publishing.Google Scholar
Witte, J. C. & Mannon, S. E. (2010). The Internet and social inequalities. New York, NY: Routledge.CrossRefGoogle Scholar
Wolfson, N. E. & Kraiger, K. (2014). Cognitive aging and training: The role of instructional coherence and advance organizers. Experimental Aging Research, 40(2), 164186. doi.org/10.1080/0361073X.2014.882206.CrossRefGoogle ScholarPubMed
American Psychological Association. (2013). Americans stay connected to work on weekends, vacation and even when out sick. Retrieved from www.apa.org/news/press/releases/2013/09/connected-work.aspx.
Arlinghaus, A. & Nachreiner, F. (2013). When work calls: Associations between being contacted outside of regular working hours for work-related matters and health. Chronobiology International, 30(9), 11971202. doi:10.3109/07420528.2013.800089.CrossRefGoogle ScholarPubMed
Aryee, S., Luk, V., Leung, A., & Lo, S. (1999). Role stressors, interrole conflict, and well-being: The moderating influence of spousal support and coping behaviors among employed parents in Hong Kong. Journal of Vocational Behavior, 54(2), 259278. doi:10.1006/jvbe.1998.1667.CrossRefGoogle Scholar
Ashforth, B. E., Kreiner, G. E., & Fugate, M. (2000). All in a day’s work: Boundaries and micro role transitions. Academy of Management Review, 25(3), 472491. doi:10.5465/amr.2000.3363315.CrossRefGoogle Scholar
Bakker, A. B. & Demerouti, E. (2007). The Job Demands‐Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309328. doi:10.1108/02683940710733115.CrossRefGoogle Scholar
Barber, L. K. & Jenkins, J. S. (2014). Creating technological boundaries to protect bedtime: Examining work-home boundary management, psychological detachment and sleep. Stress Health, 30(3), 259264. doi:10.1002/smi.2536.CrossRefGoogle ScholarPubMed
Barber, L. K. & Santuzzi, A. M. (2015). Please respond ASAP: Workplace telepressure and employee recovery. Journal of Occupational Health Psychology, 20(2), 172189. doi:10.1037/a0038278.CrossRefGoogle ScholarPubMed
Barley, S. R., Meyerson, D. E., & Grodal, S. (2011). E-mail as a source and symbol of stress. Organization Science, 22(4), 887906. doi:10.1287/orsc.1100.0573.CrossRefGoogle Scholar
Batenburg, A. & Bartels, J. (2017). Keeping up online appearances: How self-disclosure on Facebook affects perceived respect and likability in the professional context. Computers in Human Behavior, 74, 265276.CrossRefGoogle Scholar
Berkowsky, R. W. (2013). When you just cannot get away. Information, Communication & Society, 16(4), 519541. doi:10.1080/1369118x.2013.772650.CrossRefGoogle Scholar
Bergman, A. & Gardiner, J. (2007). Employee availability for work and family: Three Swedish case studies. Employee Relations, 29(4), 400414. doi:10.1108/01425450710759226.CrossRefGoogle Scholar
Berriman, R. & Hawksworth, J. (2017). Will robots steal our jobs? The potential impact of automation on the UK and other major economies. PwC. Retrieved from www.pwc.co.uk/economic-services/ukeo/pwcukeo-section-4-automation-march-2017-v2.pdf.
Biga, A. M., Church, A. H., Wade, C., Pratt, A. K. Kiburz, K. M., & Brown-Davis, M. (2016). Inside organizations: Work–life issues from a practice perspective. In Allen, T. & Eby, L. (Eds.), Oxford handbook of work and family (pp. 455–65). New York, NY: Oxford University Press.Google Scholar
Blake, A. (December 3, 2016). Denver institutions cut ties with doctor who called Michelle Obama a ‘monkey face’ on Facebook. The Washington Times. Retrieved from www.washingtontimes.com/news/2016/dec/3/denver-institutions-cut-ties-doctor-who-called-mic/.
Bock, L. (2015). Work rules!: Insights from inside Google that will transform how you live and lead. New York, NY: Twelve.Google Scholar
Borelli, J. L., Nelson, S. K., River, L. M., Birken, S. A., & Moss-Racusin, C. (2017). Gender differences in work-family guilt in parents of young children. Sex Roles, 76, 356368. doi:10.1007/s11199-016–0579-0.CrossRefGoogle Scholar
Boroff, D. (November 25, 2016). Trump supporter in Alabama fired from prestigious bank job after referring to President as “Barrack, socialist Muslim O’Bama.” New York Daily News. Retrieved from www.nydailynews.com/news/national/trump-supporter-fired-bank-job-racist-obama-comments-article-1.2887173.
Boswell, W. R. & Olson-Buchanan, J. B. (2007). The use of communication technologies after hours: The role of work attitudes and work-life conflict. Journal of Management, 33(4), 592610. doi:10.1177/0149206307302552.CrossRefGoogle Scholar
Bredehöft, F., Dettmers, J., Hoppe, A., & Janneck, M. (2015). Individual work design as a job demand: The double-edged sword of autonomy. Psychology of Everyday Activity, 8(2), 1224.Google Scholar
Brooks, S. (2015). Does personal social media usage affect efficiency and well-being? Computers in Human Behavior, 46, 2637.CrossRefGoogle Scholar
Butts, M. M., Becker, W. J., & Boswell, W. R. (2015). Hot buttons and time sinks: The effects of electronic communication during nonwork time on emotions and work-nonwork conflict. Academy of Management Journal, 58(3), 763788. doi:10.5465/amj.2014.0170.CrossRefGoogle Scholar
Carlson, Dawn S., Kacmar, K. M., & Williams, L. J. (2000). Construction and initial validation of a multidimensional measure of work–family conflict. Journal of Vocational Behavior, 56(2), 249276. doi:10.1006/jvbe.1999.1713.CrossRefGoogle Scholar
Chesley, N. (2005). Blurring boundaries? Linking technology use, spillover, individual distress, and family satisfaction. Journal of Marriage & Family, 67(5), 12371248. doi:10.1111/j.1741–3737.2005.00213.x.CrossRefGoogle Scholar
Chesley, N. (2006). Families in a high-tech age. Journal of Family Issues, 27(5), 587608. doi:10.1177/0192513X05285187.CrossRefGoogle Scholar
Chesley, N., Siibak, A., & Wajcman, J. (2013). Information and communication technology use and work-life integration. In Major, D. A. & Burke, R. (Eds.), Handbook of work-life integration among professionals: Challenges and opportunities (pp. 245268). Cheltenham, UK: Edward Elgar Publishing.Google Scholar
Cozi Inc. (2017). Feature overview. Retrieved from www.cozi.com/feature-overview/.
Craig, L, Powell, A., & Cortis, N. (2012). Self-employment, work-family time and the gender division of labour. Work, Employment and Society, 26, 716734.CrossRefGoogle Scholar
Day, A., Paquet, S., Scott, N., & Hambley, L. (2012). Perceived information and communication technology (ICT) demands on employee outcomes: The moderating effect of organizational ICT support. Journal of Occupational Health Psychology, 17(4), 473491. doi:10.1037/a0029837.CrossRefGoogle ScholarPubMed
Day, A., Scott, N., & Kelloway, E. K. (2010). Information and communication technology: Implications for job stress and employee well-being. In Perrewe, P. L. & Ganster, D. C. (Eds.), New developments in theoretical and conceptual approaches to job stress (vol. 8, pp. 317350). Bingley, UK: Emerald Group Publishing.CrossRefGoogle Scholar