Hostname: page-component-76fb5796d-wq484 Total loading time: 0 Render date: 2024-04-25T11:47:07.767Z Has data issue: false hasContentIssue false

Defrag and reboot? Consolidating information and communication technology research in I-O psychology

Published online by Cambridge University Press:  22 September 2021

Xinyu (Judy) Hu*
Affiliation:
Northern Illinois University, United States
Larissa K. Barber
Affiliation:
San Diego State University, United States
YoungAh Park
Affiliation:
University of Illinois at Urbana-Champaign, United States,
Arla Day
Affiliation:
Saint Mary’s University, Canada
*
*Corresponding author. Email: hujudy12@gmail.com

Abstract

Several decades of research have addressed the role of information and communication technologies (ICTs) in industrial-organizational (I-O) psychology. However, segmented research streams with myriad terminologies run the risk of construct proliferation and lack an integrated theoretical justification of the contributions of ICT concepts. Therefore, by identifying important trends and reflecting on key constructs, findings, and theories, our review seeks to determine whether a compelling case can be made for the uniqueness of ICT-related concepts in studying employee and performance in I-O psychology. Two major themes emerge from our review of the ICT literature: (a) a technology behavior perspective and (b) a technology experience perspective. The technology behavior perspective with three subcategories (the “where” of work design, the “when” of work extension, and the “what” of work inattention) explores how individual technology use can be informative for predicting employee well-being and performance. The technology experience perspective theme with two subcategories (the “how” of ICT appraisals and “why” of motives) emphasizes unique psychological (as opposed to behavioral) experiences arising from the technological work context. Based on this review, we outline key challenges of current ICT research perspectives and opportunities for further enhancing our understanding of technological implications for individual workers and organizations.

Type
Focal Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Akkirman, A. D., & Harris, D. L. (2005). Organizational communication satisfaction in the virtual workplace. Journal of Management Development, 24(5), 397409. https://doi.org/10.1108/02621710510598427 CrossRefGoogle Scholar
Alder, G. S. (2001). Employee reactions to electronic performance monitoring: A consequence of organizational culture. Journal of High Technology Management Research, 12(2), 323342. https://doi.org/10.1016/s1047-8310(01)00042-6 CrossRefGoogle Scholar
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. https://doi.org/10.1177/1529100615593273 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. https://doi.org/10.1111/peps.12012 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. https://doi.org/10.1080/1359432X.2014.966086 CrossRefGoogle Scholar
Arlinghaus, A., & Nachreiner, F. (2014). Health effects of supplemental work from home in the European Union. Chronobiology International, 31(10), 11001107. https://doi.org/10.3109/07420528.2014.957297 CrossRefGoogle ScholarPubMed
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. https://doi.org/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. https://doi.org/10.1108/02683940710733115 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. https://doi.org/10.1037/a0038278 CrossRefGoogle ScholarPubMed
Belkin, L. Y., Becker, W. J., & Conroy, S. A. (2016). Exhausted, but unable to disconnect: After-hours email, work-family balance and identification. Academy of Management Proceedings, 2016(1), Article 10353. https://doi.org/10.5465/ambpp.2016.10353abstract CrossRefGoogle Scholar
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. https://doi.org/10.1177/0149206307302552 CrossRefGoogle Scholar
Braukmann, J., Schmitt, A., Ďuranová, L., & Ohly, S. (2018). Identifying ICT-related affective events across life domains and examining their unique relationships with employee recovery. Journal of Business and Psychology, 33(4), 529544. https://doi.org/10.1007/s10869-017-9508-7 CrossRefGoogle Scholar
Brivio, E., Gaudioso, F., Vergine, I., Mirizzi, C. R., Reina, C., Stellari, A., & Galimberti, C. (2018). Preventing technostress through positive technology. Frontiers in Psychology, 9, Article 02569. https://doi.org/10.3389/fpsyg.2018.02569 CrossRefGoogle ScholarPubMed
Brown, R., Duck, J., & Jimmieson, N. (2014). E-mail in the workplace: The role of stress appraisals and normative response pressure in the relationship between e-mail stressors and employee strain. International Journal of Stress Management, 21(4), 325347. https://doi.org/10.1037/a0037464 CrossRefGoogle Scholar
Budnick, C. J., Rogers, A. P., & Barber, L. K. (2020). The fear of missing out at work: Examining costs and benefits of employee health and motivation. Computers in Human Behavior, 104, Article 106161. https://doi.org/10.1016/j.chb.2019.106161 CrossRefGoogle Scholar
Burgoon, J. K., & Hale, J. L. (1988). Nonverbal expectancy violations: Model elaboration and application to immediacy behaviors. Communication Monographs, 55(1), 5879. https://doi.org/10.1080/03637758809376158 CrossRefGoogle Scholar
Burgoon, J. K., & Walther, J. B. (1990). Nonverbal expectancies and the evaluative consequences of violations. Human Communication Research, 17(2), 232265. https://doi.org/10.1111/j.1468-2958.1990.tb00232.x 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. https://doi.org/10.5465/amj.2014.0170 CrossRefGoogle Scholar
Byron, K. (2008). Carrying too heavy a load? The communication and miscommunication of emotion by email. Academy of Management Review, 33(2), 309327. https://doi.org/10.5465/amr.2008.31193163 CrossRefGoogle Scholar
Card, S. K., Moran, T. P., & Newell, A. (1983). The psychology of human–computer interaction. Erlbaum.Google Scholar
Carlson, D. S., Thompson, M. J., Crawford, W. S., Boswell, W. R., & Whitten, D. (2018). Your job is messing with mine! The impact of mobile device use for work during family time on the spouse’s work life. Journal of Occupational Health Psychology, 23(4), 471482. https://doi.org/10.1037/ocp0000103 CrossRefGoogle ScholarPubMed
Cascio, W. F. (2000). Managing a virtual workplace. Academy of Management Perspectives, 14(3), 8190. https://doi.org/10.5465/ame.2000.4468068 CrossRefGoogle Scholar
Chapman, D. S., Uggerslev, K. L., & Webster, J. (2003). Applicant reactions to face-to-face and technology-mediated interviews: A field investigation. Journal of Applied Psychology, 88(5), 944953. https://doi.org/10.1037/0021-9010.88.5.944 CrossRefGoogle ScholarPubMed
Charalampous, M., Grant, C. A., Tramontano, C., & Michailidis, E. (2019). Systematically reviewing remote e-workers’ well-being at work: A multidimensional approach. European Journal of Work and Organizational Psychology, 28(1), 5173. https://doi.org/10.1080/1359432X.2018.1541886 CrossRefGoogle Scholar
Chotpitayasunondh, V., & Douglas, K. M. (2016). How “phubbing” becomes the norm: The antecedents and consequences of snubbing via smartphone. Computers in Human Behavior, 63, 918. https://doi.org/10.1016/j.chb.2016.05.018 CrossRefGoogle Scholar
Coker, B. L. S. (2013). Workplace Internet leisure browsing. Human Performance, 26(2), 114125. https://doi.org/10.1080/08959285.2013.765878 CrossRefGoogle Scholar
Dabbish, L. A., & Kraut, R. E. (2006, November 4–8). Email overload at work: An analysis of factors associated with email strain [Conference session]. Proceedings of the 2006 ACM Conference on Computer Supported Cooperative Work, CSCW 2006, ACM, Banff, Alberta, Canada. https://doi.org/10.1145/1180875.1180941 CrossRefGoogle Scholar
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554571. https://doi.org/10.1287/mnsc.32.5.554 CrossRefGoogle Scholar
Day, A., Barber, L. K., & Tonet, J. (2019). Information communication technology and employee well-being: Understanding the “iParadox Triad” at work. In Landers, R. N. (Ed.), The Cambridge handbook of technology and employee behavior (pp. 580607). Cambridge. https://doi.org/10.1017/9781108649636 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. https://doi.org/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. & Ganster, D. (Eds.), New developments in theoretical and conceptual approaches to job stress: Research in occupational stress and well-being, Vol. 8 (pp. 317350). Emerald Group Publishing.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. https://doi.org/10.1037/0021-9010.86.3.499 CrossRefGoogle ScholarPubMed
Derks, D., & Bakker, A. B. (2014). Smartphone use, work-home interference, and burnout: A diary study on the role of recovery. Applied Psychology, 63(3), 411440. https://doi.org/10.1111/j.1464-0597.2012.00530.x CrossRefGoogle Scholar
Derks, D., Bakker, A. B., Peters, P., & van Wingerden, P. (2016). Work-related smartphone use, work–family conflict and family role performance: The role of segmentation preference. Human Relations, 69(5), 10451068. https://doi.org/10.1177/0018726715601890 CrossRefGoogle Scholar
Derks, D., van Duin, D., Tims, M., & Bakker, A. B. (2015). Smartphone use and work-home interference: The moderating role of social norms and employee work engagement. Journal of Occupational and Organizational Psychology, 88(1), 155177. https://doi.org/10.1111/joop.12083 CrossRefGoogle Scholar
Derks, D., van Mierlo, H., & Schmitz, E. B. (2014). A diary study on work-related smartphone use, psychological detachment and exhaustion: Examining the role of the perceived segmentation norm. Journal of Occupational Health Psychology, 19(1), 7484. https://doi.org/10.1037/a0035076 CrossRefGoogle Scholar
Dettmers, J., Bamberg, E., & Seffzek, K. (2016). Characteristics of extended availability for work: The role of demands and resources. International Journal of Stress Management, 23(3), 276297. https://doi.org/10.1037/str0000014 CrossRefGoogle Scholar
Dettmers, J., Vahle-Hinz, T., Bamberg, E., Friedrich, N., & Keller, M. (2016). Extended work availability and its relation with start-of-day mood and cortisol. Journal of Occupational Health Psychology, 21(1), 105118. https://doi.org/10.1037/a0039602 CrossRefGoogle ScholarPubMed
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. https://doi.org/10.1016/j.jvb.2011.08.007 CrossRefGoogle Scholar
Driskell, J. E., Radtke, P. H., & Salas, E. (2003). Virtual teams: Effects of technological mediation on team performance. Group Dynamics: Theory, Research, and Practice, 7(4), 297323. https://doi.org/10.1037/1089-2699.7.4.297 CrossRefGoogle Scholar
Ďuranová, L., & Ohly, S. (2016). Persistent work-related technology use, recovery and well-being processes: focus on supplemental work after hours. Cham, Switzerland: Springer.CrossRefGoogle Scholar
Etzion, D., Eden, D., & Lapidot, Y. (1998). Relief from job stressors and burnout: Reserve service as a respite. Journal of Applied Psychology, 83(4), 577585. https://doi.org/10.1037/0021-9010.83.4.577 CrossRefGoogle ScholarPubMed
Farley, S., Coyne, I., Axtell, C., & Sprigg, C. (2016). Design, development and validation of a workplace cyberbullying measure, the WCM. Work & Stress, 30(4), 293317. https://doi.org/10.1080/02678373.2016.1255998 CrossRefGoogle Scholar
Fenner, G. H., & Renn, R. W. (2010). Technology-assisted supplemental work and work-to-family conflict: The role of instrumentality beliefs, organizational expectations and time management. Human Relations, 63(1), 6382. https://doi.org/10.1177/0018726709351064 CrossRefGoogle Scholar
Ferguson, M., Carlson, D., Boswell, W., Whitten, D., Butts, M. M., & Kacmar, K. M. (2016). Tethered to work: A family systems approach linking mobile device use to turnover intentions. Journal of Applied Psychology, 101(4), 520534. https://doi.org/10.1037/apl0000075 CrossRefGoogle ScholarPubMed
Gadeyne, N., Verbruggen, M., Delanoeije, J., & De Cooman, R. (2018). All wired, all tired? Work-related ICT-use outside work hours and work-to-home conflict: The role of integration preference, integration norms and work demands. Journal of Vocational Behavior, 107, 8699. https://doi.org/10.1016/j.jvb.2018.03.008 CrossRefGoogle 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. https://doi.org/10.1037/0021-9010.92.6.1524 CrossRefGoogle ScholarPubMed
Garrett, R. K., & Danziger, J. N. (2008). IM = interruption management? Instant messaging and disruption in the workplace. Journal of Computer-Mediated Communication, 13(1), 2342. https://doi.org/10.1111/j.1083-6101.2007.00384.x CrossRefGoogle Scholar
Giumetti, G. W., Hatfield, A. L., Scisco, J. L., Schroeder, A. N., Muth, E. R., & Kowalski, R. M. (2013). What a rude e-mail! Examining the differential effects of incivility versus support on mood, energy, engagement, and performance in an online context. Journal of Occupational Health Psychology, 18(3), 297309. https://doi.org/10.1037/a0032851 CrossRefGoogle Scholar
Golden, T. D. (2006). 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. https://doi.org/10.1016/j.jvb.2006.02.003 CrossRefGoogle Scholar
Golden, T. D., & Gajendran, R. S. (2019). Unpacking the role of a telecommuter’s job in their performance: Examining job complexity, problem solving, interdependence, and social support. Journal of Business and Psychology, 34(1), 5569. https://doi.org/10.1007/s10869-018-9530-4 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. https://doi.org/10.1177/0149206304271768 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. https://doi.org/10.1037/a0012722 CrossRefGoogle ScholarPubMed
Grandey, A. A., & Cropanzano, R. (1999). The conservation of resources model applied to work–family conflict and strain. Journal of Vocational Behavior, 54(2), 350370. https://doi.org/10.1006/jvbe.1998.1666 CrossRefGoogle Scholar
Grawitch, M. J., Werth, P. M., Palmer, S. N., Erb, K. R., & Lavigne, K. N. (2018). Self-imposed pressure or organizational norms? Further examination of the construct of workplace telepressure. Stress and Health, 34(2), 306319. https://doi.org/10.1002/smi.2792 CrossRefGoogle ScholarPubMed
Greenfield, D. N., & Davis, R. A. (2002). Lost in cyberspace: The web @ work. CyberPsychology & Behavior, 5(4), 347353. https://doi.org/10.1089/109493102760275590 CrossRefGoogle Scholar
Gruys, M. L., & Sackett, P. R. (2003). Investigating the dimensionality of counterproductive work behavior. International Journal of Selection and Assessment, 11(1), 3042. https://doi.org/10.1111/1468-2389.00224 CrossRefGoogle Scholar
Hills-Duty, R. (2017, November 10). Virtual reality technology to improve business meetings. Retrieved from https://www.vrfocus.com/2017/11/virtual-reality-technology-to-improve-business-meetings/ Google Scholar
Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513524. https://doi.org/10.1037/0003-066X.44.3.513 CrossRefGoogle ScholarPubMed
Holman, D., Chissick, C., & Totterdell, P. (2002). The effect of performance monitoring on emotional labor and well-being in call centers. Motivation and Emotion, 26(1), 5781. https://doi.org/10.1023/a:1015194108376 CrossRefGoogle Scholar
Ivarsson, L., & Larsson, P. (2011). Personal Internet usage at work: A source of recovery. Journal of Workplace Rights, 16(1), 6381. https://doi.org/10.2190/WR.16.1.e CrossRefGoogle Scholar
Jarvenpaa, S. L., & Leidner, D. E. (1999). Communication and trust in global virtual teams. Organization Science, 10(6), 693815. https://doi.org/10.1287/orsc.10.6.791 CrossRefGoogle Scholar
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. https://doi.org/10.5465/amr.2003.10196791 CrossRefGoogle Scholar
Johnson, S. K., Bettenhausen, K., & Gibbons, E. (2009). Realities of working in virtual teams: Affective and attitudinal outcomes of using computer-mediated communication. Small Group Research, 40(6), 623649. https://doi.org/10.1177/1046496409346448 CrossRefGoogle Scholar
Kalman, Y. M., & Rafaeli, S. (2011). Online pauses and silence: Chronemic expectancy violations in written computer-mediated communication. Communication Research, 38(1), 5469. https://doi.org/10.1177/0093650210378229 CrossRefGoogle Scholar
Kirkman, B. L., Rosen, B., Gibson, C. B., Tesluk, P. E., & McPherson, S. O. (2002). Five challenges to virtual team success: Lessons from Sabre, Inc. Academy of Management Perspectives, 16(3), 6779. https://doi.org/10.5465/ame.2002.8540322 CrossRefGoogle Scholar
Korunka, C., & Hoonakker, P. (2014). The Impact of ICT on quality of working life. Springer.CrossRefGoogle Scholar
Kossek, E. E., Hammer, L. B., Kelly, E. L., & Moen, P. (2014). Designing work, family & health organizational change initiatives. Organizational Dynamics, 43(1), 5363. https://doi.org/10.1016/j.orgdyn.2013.10.007 CrossRefGoogle ScholarPubMed
Kudesia, R. S., & Elfenbein, H. A. (2013). Nonverbal communication in the workplace. In Hall, J. & Knapp, M. (Eds.), Nonverbal communication (pp. 805832). Mouton de Gruyter.Google Scholar
Ladkin, A., Willis, C., Jain, J., Clayton, W., & Marouda, M. (2016). Business travellers’ connections to home: ICTs supporting work-life balance. New Technology, Work and Employment, 31(3), 255270. https://doi.org/10.1111/ntwe.12071 CrossRefGoogle Scholar
Lanaj, K., Johnson, R. E., & Barnes, C. M. (2014). Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organizational Behavior and Human Decision Processes, 124(1), 1123. https://doi.org/10.1016/j.obhdp.2014.01.001 CrossRefGoogle Scholar
Landers, R. N., & Callan, R. C. (2014). Validation of the beneficial and harmful work-related social media behavioral taxonomies. Social Science Computer Review, 32(5), 628646. https://doi.org/10.1177/0894439314524891 CrossRefGoogle Scholar
Lannon, P. G., & Schreiber, P. M. (2016, February 1). BYOD policies: What employers need to know. SHRM. Retrieved from https://www.shrm.org/hr-today/news/hr-magazine/pages/0216-byod-policies.aspx Google Scholar
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer.Google Scholar
Le, H., Schmidt, F. L., Harter, J. K., & Lauver, K. J. (2010). The problem of empirical redundancy of constructs in organizational research: An empirical investigation. Organizational Behavior and Human Decision Processes, 112(2), 112125. https://doi.org/10.1016/j.obhdp.2010.02.003 CrossRefGoogle Scholar
Leftheriotis, I., & Giannakos, M. N. (2014). Using social media for work: Losing your time or improving your work? Computers in Human Behavior, 31, 134142. https://doi.org/10.1016/j.chb.2013.10.016 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(5), 675694. https://doi.org/10.1002/job.161 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. https://doi.org/10.1016/j.im.2009.06.006 CrossRefGoogle 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. http://dx.doi.org/10.1037/a0031637 CrossRefGoogle Scholar
Lipnack, J., & Stamps, J. (1999). Virtual teams: The new way to work. Strategy & Leadership, 27(1), 1419. https://doi.org/10.1108/eb054625 CrossRefGoogle Scholar
Mann, S., & Holdsworth, L. (2003). The psychological impact of teleworking: Stress, emotions and health. New Technology, Work and Employment, 18(3), 196211. https://doi.org/10.1111/1468-005X.00121 CrossRefGoogle Scholar
Marcum, T., Cameron, E. A., & Versweyveld, L. (2018). Never off the clock: The legal implications of employees’ after hours work. Labor Law Journal, 69(2), 7382.Google Scholar
Mark, G., Czerwinski, M., & Iqbal, S. T. (2018, April 21–26). Effects of individual differences in blocking workplace distractions [Paper presentation]. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems—CHI ’18, Montreal, QC, Canada. https://doi.org/10.1145/3173574.3173666 CrossRefGoogle Scholar
Martins, L. L., Gilson, L. L., & Maynard, M. T. (2004). Virtual teams: What do we know and where do we go from here? Journal of Management, 30(6), 805835. http://dx.doi.org/10.1016/j.jm.2004.05.002 CrossRefGoogle Scholar
Maruping, L. M., & Agarwal, R. (2004). Managing team interpersonal processes through technology: A task-technology fit perspective. Journal of Applied Psychology, 89(6), 975990. https://doi.org/10.1037/0021-9010.89.6.975 CrossRefGoogle ScholarPubMed
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: Work psychology (pp. 533). Psychology Press.Google Scholar
Mellner, C. (2016). After-hours availability expectations, work-related smartphone use during leisure, and psychological detachment. International Journal of Workplace Health Management, 9(2), 146164. https://doi.org/10.1108/IJWHM-07-2015-0050 CrossRefGoogle Scholar
Mercado, B. K., Giordano, C., & Dilchert, S. (2017). A meta-analytic investigation of cyberloafing. Career Development International, 22(5), 546564. https://doi.org/10.1108/CDI-08-2017-0142 CrossRefGoogle Scholar
Mokhtarian, P. L. (1991). Telcommuting and travel: State of the practice and art. Transportation, 18(4), 319342. https://doi.org/10.1007/BF00186563 CrossRefGoogle Scholar
Nilles, J. M. (1988). Traffic reduction by telecommuting: A status review and selected bibliography. Transportation Research Part A: Policy and Practice, 22A(4), 301317. http://www.sciencedirect.com/science/journal/09658564%22 CrossRefGoogle Scholar
O’Driscoll, M. P., Brough, P., Timms, C., & Sawang, S. (2010). Engagement with information and communication technology and psychological well-being. In Perrewe, P. L. & Ganster, D. C. (Eds.), New developments in theoretical and conceptual approaches to job stress: Research in occupational stress and well-being, Vol. 8 (pp. 269316). Emerald Publishing Limited.CrossRefGoogle Scholar
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. https://doi.org/10.1016/j.chb.2014.02.015 CrossRefGoogle Scholar
Ohly, S., & Latour, A. (2014). Work-related smartphone use and well-being in the evening: The role of autonomous and controlled motivation. Journal of Personnel Psychology, 13(4), 174183. https://doi.org/10.1027/1866-5888/a000114 CrossRefGoogle Scholar
Olson-Buchanan, J. B., & Boswell, W. R. (2006). Blurring boundaries: Correlates of integration and segmentation between work and nonwork. Journal of Vocational Behavior, 68(3), 432445. https://doi.org/10.1016/j.jvb.2005.10.006 CrossRefGoogle Scholar
Park, Y., & Haun, V. C. (2018). The long arm of email incivility: Transmitted stress to the partner and partner work withdrawal. Journal of Organizational Behavior, 39(10), 12681282. https://doi.org/10.1002/job.2289 CrossRefGoogle Scholar
Park, Y., & Jex, S. M. (2011). Work-home boundary management using communication and information technology. International Journal of Stress Management, 18(2), 133152. https://doi.org/10.1037/a0022759 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(4), 457467. https://doi.org/10.1037/a0023594 CrossRefGoogle Scholar
Park, Y., Fritz, C., & Jex, S. M. (2018). Daily cyber incivility and distress: The moderating roles of resources at work and home. Journal of Management, 44(7), 25352557. https://doi.org/10.1177/0149206315576796 CrossRefGoogle Scholar
Patrick, E. (2018, April 11). Employee Internet management: Now an HR issue. SHRM. Retrieved from https://www.shrm.org/hr-today/news/hr-magazine/pages/cms_006514.aspx Google Scholar
Piszczek, M. M. (2017). Boundary control and controlled boundaries: Organizational expectations for technology use at the work-family interface. Journal of Organizational Behavior, 38(4), 592611. https://doi.org/10.1002/job.2153 CrossRefGoogle Scholar
Piwek, L., & Joinson, A. (2016). “What do they snapchat about?” Patterns of use in time-limited instant messaging service. Computers in Human Behavior, 54, 358367. https://doi.org/10.1016/j.chb.2015.08.026 CrossRefGoogle Scholar
Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 18411848. https://doi.org/10.1016/j.chb.2013.02.014 CrossRefGoogle Scholar
Ragsdale, J. M., & Hoover, C. S. (2016). Cell phones during nonwork time: A source of job demands and resources. Computers in Human Behavior, 57, 5460. https://doi.org/10.1016/j.chb.2015.12.017 CrossRefGoogle Scholar
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417433. https://doi.org/10.1287/isre.1070.0165 CrossRefGoogle Scholar
Rice, R. E., & Leonardi, P. M. (2014). Information and communication technologies in organizations. In Putnam, L. L. & Mumby, D. K. (Eds.), The SAGE handbook of organizational communication: Advances in theory, research, and methods (3rd ed., pp. 425448). Sage.Google Scholar
Rogers, A. P., & Barber, L. K. (2019) Workplace intrusions and employee strain: The interactive effects of extraversion and emotional stability. Anxiety, Stress & Coping, 32(3), 312328. https://doi.org/10.1080/10615806.2019.1596671 CrossRefGoogle ScholarPubMed
Rosen, C. C., Simon, L. S., Gajendran, R. S., Johnson, R. E., Lee, H. W., & Lin, S.-H. (J.). (2019). Boxed in by your inbox: Implications of daily e-mail demands for managers’ leadership behaviors. Journal of Applied Psychology, 104(1), 1933. https://doi.org/10.1037/apl0000343 CrossRefGoogle ScholarPubMed
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. https://doi.org/10.1037/0003-066X.55.1.68 CrossRefGoogle ScholarPubMed
Santuzzi, A. M., & Barber, L. K. (2018). Workplace telepressure and worker well-being: The intervening role of psychological detachment. Occupational Health Science, 2(4), 337363. https://doi.org/10.1007/s41542-018-0022-8 CrossRefGoogle Scholar
Schlachter, S., McDowall, A., Cropley, M., & Inceoglu, I. (2018). Voluntary work-related technology use during non-work time: A narrative synthesis of empirical research and research agenda. International Journal of Management Reviews, 20(4), 825846. https://doi.org/10.1111/ijmr.12165 CrossRefGoogle Scholar
Shaffer, J. A., DeGeest, D., & Li, A. (2016). Tackling the problem of construct proliferation: A guide to assessing the discriminant validity of conceptually related constructs. Organizational Research Methods, 19(1), 80110. https://doi.org/10.1177/1094428115598239 CrossRefGoogle Scholar
Sheldon, P., & Bryant, K. (2016). Instagram: Motives for its use and relationship to narcissism and contextual age. Computers in Human Behavior, 58, 8997. https://doi.org/10.1016/j.chb.2015.12.059 CrossRefGoogle Scholar
Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. John Wiley & Sons.Google Scholar
Skovholt, K., Grønning, A., & Kankaanranta, A. (2014). The communicative functions of emoticons in workplace e-mails: :-). Journal of Computer-Mediated Communication, 19(4), 780797. https://doi.org/10.1111/jcc4.12063 CrossRefGoogle Scholar
Society for Industrial and Organizational Psychology. (2019, January 9). It’s the same, only different. Retrieved from https://www.siop.org/Research-Publications/Items-of-Interest/ArtMID/19366/ArticleID/1639/It%E2%80%99s-the-Same-Only-Different Google Scholar
Society of Human Resource Management. (2016, January 19). Managing and leveraging workplace use of social media. Retrieved from https://shrm.org/resourcesandtools/tools-and-samples/toolkits/pages/managingsocialmedia.aspx Google Scholar
Sonnentag, S., Reinecke, L., Mata, J., & Vorderer, P. (2018). Feeling interrupted-being responsive: How online messages relate to affect at work. Journal of Organizational Behavior, 39(3), 369383. https://doi.org/10.1002/job.2239 CrossRefGoogle Scholar
Spector, P. E., & Jex, S. M. (1998). Development of four self-report measures of job stressors and strain: Interpersonal Conflict at Work Scale, Organizational Constraints Scale, Quantitative Workload Inventory, and Physical Symptoms Inventory. Journal of Occupational Health Psychology, 3(4), 356367. https://doi.org/10.1037/1076-8998.3.4.356 CrossRefGoogle ScholarPubMed
Stanton, J. M. (2000). Reactions to employee performance monitoring: Framework, review, and research directions. Human Performance, 13(1), 85113. https://doi.org/10.1207/s15327043hup1301_4 CrossRefGoogle Scholar
Syrek, C. J., Kühnel, J., Vahle-Hinz, T., & De Bloom, J. (2017). Share, like, twitter, and connect: Ecological momentary assessment to examine the relationship between non-work social media use at work and work engagement. Work & Stress, 32(3), 209227. https://doi.org/10.1080/02678373.2017.1367736 CrossRefGoogle Scholar
ten Brummelhuis, L. L., Bakker, A. B., Hetland, J., & Keulemans, L. (2012). Do new ways of working foster work engagement? Psicothema, 24(1), 113120.Google ScholarPubMed
Thompson, C. A., Beauvais, L. L., & Lyness, K. S. (1999). When work-family benefits are not enough: The influence of work–family culture on benefit utilization, organizational attachment, and work–family conflict. Journal of Vocational Behavior, 54(3), 392415. https://doi.org/10.1006/jvbe.1998.1681 CrossRefGoogle Scholar
Trougakos, J. P., & Hideg, I. (2009). Momentary work recovery: The role of within-day work breaks. Current Perspectives on Job-Stress Recovery, 7, 3784. https://doi.org/10.1108/S1479-3555(2009)0000007005 CrossRefGoogle Scholar
Van Laethem, M., van Vianen, A. E. M., & Derks, D. (2018). Daily fluctuations in smartphone use, psychological detachment, and work engagement: The role of workplace telepressure. Frontiers in Psychology, 9, Article 01808. https://doi.org/10.3389/fpsyg.2018.01808 CrossRefGoogle ScholarPubMed
Venkatesh, V., Morris, M., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425478. https://doi.org/10.2307/30036540 CrossRefGoogle Scholar
Vranjes, I., Baillien, E., Vandebosch, H., Erreygers, S., & De Witte, H. (2018). When workplace bullying goes online: Construction and validation of the Inventory of Cyberbullying Acts at Work (ICA-W). European Journal of Work and Organizational Psychology, 27(1), 2839. https://doi.org/10.1080/1359432X.2017.1363185 CrossRefGoogle Scholar
Walther, J. B. (1992). Interpersonal effects in computer-mediated interaction. Communication Research, 19(1), 5290. https://doi.org/10.1177/009365092019001003 CrossRefGoogle Scholar
Walther, J. B. (1995). Relational aspects of computer-mediated communication: Experimental observations over time. Organization Science, 6(2), 186203. https://doi.org/10.1287/orsc.6.2.186 CrossRefGoogle Scholar
Walther, J. B., & D’addario, K. P. (2001). The impacts of emoticons on message interpretation in computer-mediated communication. Social Science Computer Review, 19(3), 324347. https://doi.org/10.1177/089443930101900307 CrossRefGoogle Scholar
Ward, S., & Steptoe-Warren, G. (2014). A conservation of resources approach to Blackberry use, work-family conflict and well-being: Job control and psychological detachment from work as potential mediators. Engineering Management Research, 3(1), 823. https://doi.org/10.5539/emr.v3n1p8 Google Scholar
Weatherbee, T. G. (2010). Counterproductive use of technology at work: Information & communications technologies and cyberdeviancy. Human Resource Management Review, 20(1), 3544. https://doi.org/10.1016/j.hrmr.2009.03.012 CrossRefGoogle Scholar
Weiss, H. M., & Cropanzano, R. (1996). Affective events theory: A theoretical discussion of the structure, causes and consequences of affective experiences at work. In Staw, B. M. & Cummings, L. L. (Eds.), Research in organizational behavior, Vol. 18 (pp. 174). JAI Press.Google Scholar
Wilkes, S. M., Barber, L. K., & Rogers, A. P. (2018). Development and validation of the Workplace Interruptions Measure. Stress and Health, 34(1), 102114. https://doi.org/10.1002/smi.2765 CrossRefGoogle ScholarPubMed
Wilson, J. M., Straus, S. G., & McEvily, B. (2006). All in due time: The development of trust in computer-mediated and face-to-face teams. Organizational Behavior and Human Decision Processes, 99(1), 1633. https://doi.org/10.1016/j.obhdp.2005.08.001 CrossRefGoogle Scholar
Wolfe, J. (2018, March 23). New York today: The right to disconnect. New York Times. Retrieved from https://www.nytimes.com/2018/03/23/nyregion/new-york-today-the-right-to-disconnect.html Google Scholar
Wright, K. B., Abendschein, B., Wombacher, K., O’Connor, M., Hoffman, M., Dempsey, M., Krull, C., Dewes, A., & Shelton, A. (2014). Work-related communication technology use outside of regular work hours and work life conflict. Management Communication Quarterly, 28(4), 507530. https://doi.org/10.1177/0893318914533332 CrossRefGoogle Scholar
Xie, J., Ma, H., Zhou, Z. E., & Tang, H. (2018). Work-related use of information and communication technologies after hours (W_ICTs) and emotional exhaustion: A mediated moderation model. Computers in Human Behavior, 79, 94104. https://doi.org/10.1016/j.chb.2017.10.023 CrossRefGoogle Scholar
Yildirim, C., & Correia, A.-P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130137. https://doi.org/10.1016/j.chb.2015.02.059 CrossRefGoogle Scholar