Aldao, A., & Nolen-Hoeksema, S. (2012). The influence of context on the implementation of adaptive emotion regulation strategies. Behaviour Research and Therapy, 50, 493–501.Google Scholar

Beals, K. P., Peplau, L. A., & Gable, S. L. (2009). Stigma management and wellbeing: The role of perceived social support, emotional processing, and suppression. Personality and Social Psychology Bulletin, 35, 867–879.CrossRefGoogle Scholar

Berkley, R. A., Beard, R., & Daus, C. S. (2018). The emotional context of disclosing a concealable stigmatized identity: A conceptual model. Human Resource Management Review, 29(3), 428–455.CrossRefGoogle Scholar

Bowleg, L., Brooks, K., & Ritz, S. F. (2008). “Bringing home more than a paycheck”: An exploratory analysis of black lesbians’ experiences of stress and coping in the workplace. Journal of Lesbian Studies, 12, 69–84.Google Scholar

Boyce, A. S., Ryan, A. M., Imus, A. L., & Morgeson, F. P. (2007). “Temporary worker, permanent loser?” A model of the stigmatization of temporary workers. Journal of Management, 33, 5–29.Google Scholar

Brief, A. P., & Weiss, H. M. (2002). Organizational behavior: Affect in the workplace. Annual Review of Psychology, 53, 279–307.Google Scholar

Button, S. B. (2004). Identity management strategies utilized by lesbian and gay employees: A quantitative investigation. Group & Organization Management, 29, 470–494.CrossRefGoogle Scholar

Chaudoir, S. R., & Fisher, J. D. (2010). The disclosure processes model: Understanding disclosure decision making and postdisclosure outcomes among people living with a concealable stigmatized identity. Psychological Bulletin, 136, 236–256.Google Scholar

Clair, J. A., Beatty, J. E., & MacLean, T. L. (2005). Out of sight but not out of mind: Managing invisible social identities in the workplace. Academy of Management Review, 30, 78–95.CrossRefGoogle Scholar

Colombetti, G. (2005). Appraising valence. Journal of Consciousness Studies, 12, 103–126.Google Scholar

Compas, B. E., Connor-Smith, J. K., Saltzman, H., Thomsen, A. H., & Wadsworth, M. E. (2001). Coping with stress during childhood and adolescence: Problems, progress, and potential in theory and research. Psychological Bulletin, 127, 87–127.CrossRefGoogle ScholarPubMed

Côté, S. & Morgan, L. M. (2002). A longitudinal analysis of the association between emotion regulation, job satisfaction, and intentions to quit. Journal of Organizational Behavior, 23, 947–962.Google Scholar

Croteau, J. M., Anderson, M. Z., & VanderWal, B. L. (2008). Models of workplace sexual identity disclosure and management: Reviewing and extending concepts. Group & Organization Management, 33, 532–565.Google Scholar

Goffman, E. (1963). Stigma. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar

Griffith, K. H., & Hebl, M. R. (2002). The disclosure dilemma for gay men and lesbians: “Coming out” at work. Journal of Applied Psychology, 87, 1191–1199.Google Scholar

Joachim, G., & Acorn, S. (2000). Stigma of visible and invisible chronic conditions. Journal of Advanced Nursing, 32, 243–248.Google Scholar

Johnson, V. R., & Yarhouse, M. A. (2013). Shame in sexual minorities: Stigma, internal cognitions, and counseling considerations. Counseling and Values, 58, 85–103.Google Scholar

Jones, K. P. (2017). To tell or not to tell? Examining the role of discrimination in the pregnancy disclosure process at work. Journal of Occupational Health Psychology, 22, 239–250.CrossRefGoogle ScholarPubMed

Jordan, K. M., & Deluty, R. H. (1998). Coming out for lesbian women: Its relation to anxiety, positive affectivity, self-esteem, and social support. Journal of Homosexuality, 35, 41–63.Google Scholar

Kelly, A. E. (2002). The psychology of secrets. New York, NY: Kluwer Academic/Plenum.Google Scholar

Law, C. L., Martinez, L. R., Ruggs, E. N., Hebl, M. R., & Akers, E. (2011). Trans-parency in the workplace: How the experiences of transsexual employees can be improved. Journal of Vocational Behavior, 79, 710–723.CrossRefGoogle Scholar

Lea, T., de Wit, J., & Reynolds, R. (2014). Minority stress in lesbian, gay, and bisexual young adults in Australia: Associations with psychological distress, suicidality, and substance use. Archives of Sexual Behavior, 43, 1571–1578.Google Scholar

LeBlanc, A. J., Frost, D. M., & Wight, R. G. (2015). Minority stress and stress proliferation among same‐sex and other marginalized couples. Journal of Marriage and Family, 77, 40–59.CrossRefGoogle ScholarPubMed

Legate, N., Ryan, R. M., & Weinstein, N. (2012). Is coming out always a “good thing”? Exploring the relations of autonomy support, outness, and wellness for lesbian, gay, and bisexual individuals. Social Psychological and Personality Science, 3, 145–152.Google Scholar

Linney, K. D. (2008). Work–family conflict and job satisfaction: Family resources as a buffer. Journal of Family and Consumer Sciences, 100, 24–30.Google Scholar

Logie, C. H., James, L., Tharao, W., & Loutfy, M. R. (2011). HIV, gender, race, sexual orientation, and sex work: A qualitative study of intersectional stigma experienced by HIV-positive women in Ontario, Canada. PLoS medicine, 8, doi:10.1371/journal.pmed.1001124Google Scholar

Madera, J. M., King, E. B., & Hebl, M. R. (2012). Bringing social identity to work: The influence of manifestation and suppression on perceived discrimination, job satisfaction, and turnover intentions. Cultural Diversity and Ethnic Minority Psychology, 18, 165–170.Google Scholar

Major, B., & Gramzow, R. H. (1999). Abortion as stigma: Cognitive and emotional implications of concealment. Journal of Personality and Social Psychology, 77, 735–745.Google Scholar

Marrs, S. A., & Staton, A. R. (2016). Negotiating difficult decisions: Coming out versus passing in the workplace. Journal of LGBT Issues in Counseling, 10, 40–54.Google Scholar

Martinez, L. R., & Hebl, M. R. (2016). Adult survivors of childhood cancers’ identity disclosures in the workplace. Journal of Cancer Survivorship, 10, 416–424.Google Scholar

Mayfield Arnold, E., Rice, E., Flannery, D., & Rotheram-Borus, M. J. (2008). HIV disclosure among adults living with HIV. AIDS Care, 20, 80–92.CrossRefGoogle ScholarPubMed

Meyer, I. H. (2003). Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence. Psychological Bulletin, 129, 674–697.CrossRefGoogle ScholarPubMed

Pachankis, J. E. (2007). The psychological implications of concealing a stigma: A cognitive–affective–behavioral model. Psychological Bulletin, 133, 328–345.Google Scholar

Pachankis, J. E., & Goldfried, M. R. (2006). Social anxiety in young gay men. Journal of Anxiety Disorders, 20, 996–1015.CrossRefGoogle ScholarPubMed

Quinn, D. M., & Chaudoir, S. R. (2009). Living with a concealable stigmatized identity: The impact of anticipated stigma, centrality, salience, and cultural stigma on psychological distress and health. Journal of Personality and Social Psychology, 97, 634–651.Google Scholar

Quinn, D. M., & Earnshaw, V. A. (2013). Concealable stigmatized identities and psychological well‐being. Social and Personality Psychology Compass, 7, 40–51.Google Scholar

Quinn, D. M., Williams, M. K., Quintana, F., Gaskins, J. L., Overstreet, N. M., Pishori, A., … & Chaudoir, S. R. (2014). Examining effects of anticipated stigma, centrality, salience, internalization, and outness on psychological distress for people with concealable stigmatized identities. PloS One, 9, doi:10.1371/journal.pone.0096977Google Scholar

Ragins, B. R. (2004). Sexual orientation in the workplace: The unique work and career experiences of gay, lesbian and bisexual workers. In Buckley, M. R., Halbesleben, J. R. B., & Wheeler, A. R. (Eds.), Research in personnel and human resources management (Volume 23, pp. 35–129). Bingley, UK: Emerald.Google Scholar

Ragins, B. R. (2008). Disclosure disconnects: Antecedents and consequences of disclosing invisible stigmas across life domains. Academy of Management Review, 33, 194–215.Google Scholar

Ruggs, E. N., Martinez, L. R., & Hebl, M. R. (2011). How individuals and organizations can reduce interpersonal discrimination. Social and Personality Psychology Compass, 5, 29–42.Google Scholar

Sabat, I., Trump, R., & King, E. (2014). Individual, interpersonal, and contextual factors relating to disclosure decisions of lesbian, gay, and bisexual individuals. Psychology of Sexual Orientation and Gender Diversity, 1, 431–440.CrossRefGoogle Scholar

Sandelowski, M., Lambe, C., & Barroso, J. (2004). Stigma in HIV‐positive women. Journal of Nursing Scholarship, 36, 122–128.CrossRefGoogle ScholarPubMed

Sedlovskaya, A., Purdie-Vaughns, V. P., Eibach, R. P., LaFrance, M., Romero-Canyas, R., & Camp, N. P. (2013). Internalizing the closet: Concealment heightens the cognitive distinction between public and private selves. Journal of Personality and Social Psychology, 104, 695–715.Google Scholar

Shelton, J. N., Richeson, J. A., Salvatore, J., & Hill, D. M. (2006). Silence is not golden: The intrapersonal consequences of not confronting prejudice. In Levin, S & C. van Laar (Eds.), Stigma and group inequality: Social psychological perspectives (pp. 65–81). Mahwah, NJ: Erlbaum.Google Scholar

Smart, L., & Wegner, D. M. (2000). The hidden costs of hidden stigma. In Heatherton, T, Kleck, R, Hebl, M, & Hull, J (Eds.), The social psychology of stigma (pp. 220–242). New York, NY: Guilford.Google Scholar

Stergiou-Kita, M., Pritlove, C., & Kirsch, B. (2016). The “big C” – stigma, cancer, and workplace discrimination. Journal of Cancer Survivorship, 10, 1035–1050.CrossRefGoogle Scholar

Stirratt, M. J., Meyer, I. H., Ouellette, S. C., & Gara, M. A. (2008). Measuring identity multiplicity and intersectionality: Hierarchical classes analysis (HICLAS) of sexual, racial, and gender identities. Self and Identity, 7, 89–111.Google Scholar

Stone, D. L., & Colella, A. (1996). A model of factors affecting the treatment of disabled individuals in organizations. Academy of Management Review, 21, 352–401.CrossRefGoogle Scholar

Talley, A. E., & Bettencourt, B. A. (2011). The moderator roles of coping style and identity disclosure on the relationship between perceived sexual stigma and psychological distress. Journal of Applied Social Psychology, 41, 2883–2903.Google Scholar

Testa, R. J., Michaels, M. S., Bliss, W., Rogers, M. L., Balsam, K. F., & Joiner, T. (2017). Suicidal ideation in transgender people: Gender minority stress and interpersonal theory factors. Journal of Abnormal Psychology, 126, 125–136.Google Scholar

Toth, K. E., & Dewa, C. S. (2014). Employee decision-making about disclosure of a mental disorder at work. Journal of Occupational Rehabilitation, 24, 732–746.CrossRefGoogle ScholarPubMed

Trau, R. N. C. (2015). The impact of discriminatory climate perceptions on the composition of interorganizational developmental networks, psychosocial support, and job and career attitudes of employees with an invisible stigma. Human Resource Management, 54, 345–366, doi:10.1002/hrm.21630Google Scholar

Trau, R. N., Chuang, Y. T., Pichler, S., Lim, A., Wang, Y., & Halvorsen, B. (2018). The dynamic recursive process of community influences, LGBT-support policies and practices, and perceived discrimination at work. In Thomson, S. B. & Grandy, G (Eds.), Stigmas, work and organizations (pp. 71–98). New York, NY: Palgrave Macmillan.Google Scholar

Velez, B. L., Moradi, B., & Brewster, M. E. (2013). Testing the tenets of minority stress in workplace contexts. Journal of Counseling Psychology, 60, 532–542.Google Scholar

Waldo, C. R. (1999). Working in a majority context: A structural model of heterosexism as minority stress in the workplace. Journal of Counseling Psychology, 46, 218–232.Google 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: An annual series of analytical essays and critical reviews (Volume 18, pp. 1–74). Greenwich, CT, and London, UK: Elsevier Science/JAI.Google Scholar

Wessel, J. L. (2017). The importance of allies and allied organizations: Sexual orientation disclosure and concealment at work. Journal of Social Issues, 73, 240–254.Google 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), 882–897.Google Scholar

Barber, L. K., & Santuzzi, A. M. (2015). Please respond ASAP: Workplace telepressure and employee recovery. Journal of Occupational Health Psychology, 20(2), 172–189.CrossRefGoogle ScholarPubMed

Barsade, S. G., & Gibson, D. E. (2007). Why does affect matter in organizations? Academy of Management Perspectives, 21(1), 36–59.Google Scholar

Beal, D. J., Weiss, H. M., Barros, E., & MacDermid, S. M. (2005). An episodic process model of affective influences on performance. Journal of Applied Psychology, 90(6), 1054–1068.Google Scholar

Beauregard, T. A., & Henry, L. C. (2009). Making the link between work-life balance practices and organizational performance. Human Resource Management Review, 19(1), 9–22.Google Scholar

Benson, A. D., Johnson, S. D., & Kuchinke, K. P. (2002). The use of technology in the digital workplace: A framework for human resource development. Advances in Developing Human Resources, 4(4), 392–404.CrossRefGoogle Scholar

Braukmann, J., Schmitt, A., Ďuranová, L., & Ohly, S. (2019). Identifying ICT-related affective events across life domains and examining their unique relationships with employee recovery. Journal of Business and Psychology, 33(4), 529–544.CrossRefGoogle Scholar

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), 325–347.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), 763–788.Google Scholar

Byron, K. (2008). Carrying too heavy a load? Communication and miscommunication of emotion by email. Academy of Management Review, 33(2), 309–327.Google Scholar

Cascio, W. F. (1995). Whither industrial and organizational psychology in a changing world of work? American Psychologist, 50(11), 928–939.CrossRefGoogle Scholar

Cascio, W. F. (2000). Managing a virtual workplace. Academy of Management Perspectives, 14(3), 81–90.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), 349–375.Google Scholar

Ceaparu, I., Lazar, J., Bessiere, K., Robinson, J., & Shneiderman, B. (2004). Determining causes and severity of end-user frustration. International Journal of Human–Computer Interaction, 17(3), 333–356.CrossRefGoogle Scholar

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), 51–73.Google Scholar

Cheshin, A., Rafaeli, A., & Bos, N. (2011). Anger and happiness in virtual teams: Emotional influences of text and behavior on others’ affect in the absence of non-verbal cues. Organizational Behavior and Human Decision Processes, 116(1), 2–16.Google Scholar

Chi, N.-W., Chung, Y.-Y., & Tsai, W.-C. (2011). How do happy leaders enhance team success? The mediating roles of transformational leadership, group affective tone, and team processes. Journal of Applied Social Psychology, 41(4), 1421–1454.Google Scholar

Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.Google Scholar

Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554–571.Google 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), 473–491.Google Scholar

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: Research in occupational stress and well being (Volume 8, pp. 317–350). Bingley, UK: Emerald.Google Scholar

DeLongis, A., Coyne, J. C., Dakof, G., Folkman, S., & Lazarus, R. S. (1982). Relationship of daily hassles, uplifts, and major life events to health status. Health Psychology, 1(2), 119–136.Google Scholar

Demerouti, E., Derks, D., Lieke, L., & Bakker, A. B. (2014). New ways of working: Impact on working conditions, work–family balance, and well-being. In Korunka, C & Hoonakker, P (Eds.), The impact of ICT on quality of working life (pp. 123–141). New York, NY, and Amsterdam, Netherlands: Springer.Google 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), 276–297.Google Scholar

Fisher, S. L., & Howell, A. W. (2004). Beyond user acceptance: An examination of employee reactions to information technology systems. Human Resource Management, 43(2–3), 243–258.Google Scholar

Flanagin, A. J., & Waldeck, J. H. (2004). Technology use and organizational newcomer socialization. Journal of Business Communication, 41(2), 137–165.Google Scholar

Fulk, J., Steinfield, C. W., Schmitz, J., & Power, J. G. (1987). A social information processing model of media use in organizations. Communication Research, 14(5), 529–552.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), 1524–1541.CrossRefGoogle ScholarPubMed

Gist, M. E., Schwoerer, C., & Rosen, B. (1989). Effects of alternative training methods on self-efficacy and performance in computer software training. Journal of Applied Psychology, 74(6), 884–891.Google 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), 297–309.Google Scholar

Glikson, E., & Erez, M. (2013). Emotion display norms in virtual teams. Journal of Personnel Psychology, 12(1), 22–32.Google Scholar

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), 1340–1350.Google Scholar

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), 527–546.Google Scholar

Grawemeyer, B., & Johnson, H. (2011). Using and managing multiple passwords: A week to a view. Interacting with Computers, 23(3), 256–267.Google Scholar

Guenter, H., van Emmerik, I. H., & Schreurs, B. (2014). The negative effects of delays in information exchange: Looking at workplace relationships from an affective events perspective. Human Resource Management Review, 24(4), 283–298.Google Scholar

Hofstede, G. (1998). Identifying organizational subcultures: An empirical approach. Journal of Management Studies, 35(1), 1–12.Google Scholar

Holman, D., Chissick, C., & Totterdell, P. (2002). The effects of performance monitoring on emotional labor and well-being in call centers. Motivation and Emotion, 26(1), 57–81.Google 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), 623–649.Google Scholar

Kanner, A. D., Coyne, J. C., Schaefer, C., & Lazarus, R. S. (1981). Comparison of two modes of stress measurement: Daily hassles and uplifts versus major life events. Journal of Behavioral Medicine, 4(1), 1–39.Google Scholar

Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. New York, NY: Springer.Google Scholar

Lewis, S. (2003). Flexible working arrangements: Implementation, outcomes, and management. In Cooper, C. L. & Roberts, I. T. (Eds.), International review of industrial and organizational psychology (Volume 18, pp. 1–28). New York, NY: Wiley.Google Scholar

Lim, V. K., & Teo, T. S. (2009). Mind your E-manners: Impact of cyber incivility on employees’ work attitude and behavior. Information & Management, 46(8), 419–425.Google Scholar

Luse, A., McElroy, J., Townsend, A., & DeMarie, S. (2013). Personality and cognitive style as predictors of preference for working in virtual teams. Computers in Human Behavior, 29(4), 1825–1832.Google Scholar

Mann, S., & Holdsworth, L. (2003). The psychological impact of teleworking: Stress, emotions and health. New Technology, Work and Employment, 18(3), 196–211.Google Scholar

Maruping, L. M., & Agarwal, R. (2004). Managing team interpersonal processes through technology: A task-technology fit perspective. Journal of Applied Psychology, 89(6), 975–990.Google Scholar

Moser, K. S., & Axtell, C. M. (2013). The role of norms in virtual work: A review and agenda for future research. Journal of Personnel Psychology, 12(1), 1–6.Google Scholar

Nees, M. A., & Fortna, A. (2015). A comparison of human versus virtual interruptions. Ergonomics, 58(5), 852–856.Google 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), 174–183.Google Scholar

Ortiz de Guinea, A., Webster, J., & Staples, D. S. (2012). A meta-analysis of the consequences of virtualness on team functioning. Information & Management, 49(6), 301–308.Google Scholar

Palthe, J., & Kossek, E. E. (2003). Subcultures and employment modes: Translating HR strategy into practice. Journal of Organizational Change Management, 16(3), 287–308.Google 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), 2535–2557.Google Scholar

Perlow, L. A., & Kelly, E. L. (2014). Toward a model of work redesign for better work and better life. Work and Occupations, 41(1), 111–134.Google Scholar

Perlow, L. A., & Porter, J. L. (2009). Making time off predictable – and required. Harvard Business Review, 87(10), 102–109, 142.Google Scholar

Pew Research Center (2016). Changes in the American workplace, October 6, www.pewsocialtrends.org/2016/10/06/1-changes-in-the-american-workplace/Google 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), 417–433.Google Scholar

Rice, R. E., & Aydin, C. (1991). Attitudes toward new organizational technology: Network proximity as a mechanism for social information processing. Administrative Science Quarterly, 36(2), 219–244.Google Scholar

Russell, A., & Perris, K. (2003). Telementoring in community nursing: A shift from dyadic to communal models of learning and professional development. Mentoring and Tutoring, 11(2), 227–238.Google Scholar

Salancik, G. R., & Pfeffer, J. (1978). A social information processing approach to job attitudes and task design. Administrative Science Quarterly, 23(2), 224–253.CrossRefGoogle ScholarPubMed

Salanova, M., Grau, R. M., Cifre, E., & Llorens, S. (2000). Computer training, frequency of usage and burnout: The moderating role of computer self-efficacy. Computers in Human Behavior, 16(6), 575–590.Google Scholar

Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436.Google Scholar

Shank, D. B. (2014). Technology and emotions. In Stets, J. E. & Turner, J. H. (Eds.), Handbook of the sociology of emotions (Volume 2, pp. 511–528). Dordrecht, Netherlands: Springer.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), 780–797.CrossRefGoogle 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), 369–383.Google Scholar

Sullivan, C. B. (1995). Preferences for electronic mail in organizational communication tasks. Journal of Business Communication, 32(1), 49–64.CrossRefGoogle Scholar

Tekleab, A. G., & Quigley, N. R. (2014). Team deep-level diversity, relationship conflict, and team members’ affective reactions: A cross-level investigation. Journal of Business Research, 67(3), 394–402.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), 239–263.Google Scholar

Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365.Google Scholar

Warr, P. (1994). A conceptual framework for the study of work and mental health. Work & Stress, 8(2), 84–97.Google Scholar

Weiss, H. M. (2002). Deconstructing job satisfaction: Separating evaluations, beliefs and affective experiences. Human Resource Management Review, 12(2), 173–194.Google Scholar

Weiss, H., & 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 (Volume 18, pp. 1–74). Greenwich, CT, and London, UK : Elsevier Science/JAI.Google Scholar

Ashforth, B. E., & Humphrey, R. H. (1993). Emotional labor in service roles: The influence of identity. Academy of Management Review, 18, 88–115.Google Scholar

Balconi, M., & Vanutelli, M. E. (2017). Cooperation and competition with hyperscanning methods: Review and future application to emotion domain. Frontiers in Computational Neuroscience, 11, doi:10.3389/fncom.2017.00086Google Scholar

Barsade, S. G., & Knight, A. P. (2015). Group affect. Annual Review of Organizational Psychology and Organizational Behavior, 2, 21–46.Google Scholar

Barsade, S. G., & O’Neill, O. A. (2014). What’s love got to do with it? A longitudinal study of the culture of companionate love and employee and client outcomes in a long-term care setting. Administrative Science Quarterly, 59, 551–598.Google Scholar

Baumeister, R. F., Bratslavsky, E., Finkenhauer, C., & Vohs, K. D. (2001). Bad is stronger than good. Review of General Psychology, 5, 323–370.Google Scholar

Bechtoldt, M. N., Rohrmann, S., De Pater, I. E., & Beersma, B. (2011). The primacy of perceiving: Emotion recognition buffers negative effects of emotional labor. Journal of Applied Psychology, 96, 1087–1094.Google Scholar

Becker, W. J., & Cropanzano, R. (2015). Good acting requires a good cast: A meso-level model of deep acting in work teams. Journal of Organizational Behavior, 36, 232–249.Google Scholar

Becker, W. J., Cropanzano, R., Van Wagoner, H. P., & Keplinger, K. (2018). Emotional labor within teams: Outcomes of individual and peer emotional labor of perceived team support, extra-role behavior, and turnover intentions. Group and Organization Management, 43, 38–71.Google Scholar

Bekele, E. T., Lahiri, U., Swanson, A. R., Crittendon, J. A., Warren, Z. E. & Sarkar, N. (2013) A step towards developing adaptive robot-mediated intervention architecture (ARIA) for children with autism. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21, 289–299.Google Scholar

Berg-Beckhoff, G., Nielsen, G., & Ladekjær Larsen, E. (2017). Use of information communication technology and stress, burnout, and mental health in older, middle-aged, and younger workers – results from a systematic review. International Journal of Occupational and Environmental Health, 23, 160–171.Google Scholar

Berkley, R. A., Beard, R., & Daus, C. S. (2019). The emotional context of disclosing a concealable stigmatized identity: A conceptual model. Human Resource Management Review, 3, 428–445.Google Scholar

Bledow, R., Schmitt, A., Frese, M., & Kühnel, J. (2011). The affective shift model of work engagement. Journal of Applied Psychology, 96, 1246–1257.Google Scholar

Bosch, N., & D’Mello, S. (2017). The affective experience of novice computer programmers. International Journal of Artificial Intelligence in Education, 27, 181–206.Google Scholar

Bracken, D. W. (2019). AI and EI meet IO: Should we trust or regulate? (panel presented at the annual conference of the Society for Industrial and Organizational Psychology, Washington, DC, 4–6 April).Google Scholar

Brewer, M. B. (1999). The psychology of prejudice: Ingroup love or outgroup hate? Journal of Social Issues, 55, 429–444.Google Scholar

Brief, A. P., & Weiss, H. M. (2002). Organizational behavior: Affect in the workplace. Annual Review of Psychology, 53, 279–307.Google Scholar

Clauss, E., Hoppe, A., O’Shea, D., González Morales, M. G., Steidle, A., & Michel, A. (2018). Promoting personal resources and reducing exhaustion through positive work reflection among caregivers. Journal of Occupational Health Psychology, 23, 127–140.Google Scholar

Clore, G. L., & Ortony, A. (2008). Appraisal theories: How cognition shapes affect into emotion. In Lewis, M, Haviland-Jones, J. M., & Barrett, L. F. (Eds.), Handbook of emotions (3rd edition, pp. 628–642). New York, NY: Guilford.Google Scholar

Côté, S. (2014). Emotional intelligence in organizations. Annual Review of Organizational Psychology and Organizational Behavior, 1, 459–488.Google Scholar

Cricco-Lizza, R. (2014). The need to nurse the nurse: Emotional labor in neonatal intensive care. Qualitative Health Research, 24, 615–628.Google Scholar

Cummings, M., Gao, F., & Thornburg, K. (2016). Boredom in the workplace: A new look at an old problem. Human Factors, 58, 279–300.Google Scholar

Decanio, S. J. (2016) Robots and humans – complements or substitutes? Journal of Macroeconomics, 49, 280–291.Google Scholar

De Dreu, C. K. W., Greer, L. L., Handgraaf, M. J. J., Shalvi, S., Van Kleef, G. A., Baas, M., … & Feith, S. W. (2010). The neuropeptide oxytocin regulates parochial altruism in intergroup conflict among humans. Science, 328, 1408–1411.Google Scholar

Dehais, F., Causse, M., Vachon, F., & Tremblay, S. (2012) Cognitive conflict in human– automation interactions: A psychophysiological study. Applied Ergonomics, 43, 588–595.Google Scholar

Dickens, L. R. (2017). Using gratitude to promote positive change: A series of meta-analyses investigating the effectiveness of gratitude interventions. Basic & Applied Social Psychology, 39(4), 193–208.Google Scholar

Diefendorff, J. M., Gabriel, A. S., Nolan, M. T., & Yang, J. (2019). Emotion regulation in the context of customer mistreatment and felt affect: An event-based profile approach. Journal of Applied Psychology, 104(7), doi:10.1037/apl0000389Google Scholar

D’Mello, S. K. (2017). Emotional learning analytics. In Lang, C, Siemens, G, Alyssa, W, & Gašević, D (Eds.), Handbook of learning analytics & educational data mining (1st edition, pp. 115–127). Edmonton, AB: Society for Learning Analytics Research.Google Scholar

Ekman, P., & Friesen, W. V. (2003). Unmasking the face: A guide to recognizing emotions from facial expressions. Los Altos, CA: Malor Books.Google Scholar

Fehr, R., Fulmer, A., Awtrey, E., & Miller, J. A. (2017). The grateful workplace: A multilevel model of gratitude in organizations. Academy of Management Review, 42, 361–381.Google Scholar

Ford, M. T., Wang, Y., Jin, J., & Eisenberger, R. (2018). Chronic and episodic anger and gratitude toward the organization: Relationships with organizational and supervisor supportiveness and extrarole behavior. Journal of Occupational Health Psychology, 23, 175–187.Google Scholar

Grandey, A. A., Fisk, G. M., Mattila, A. S., Jansen, K. J., & Sideman, L. A. (2005). Is “service with a smile” enough? Authenticity of positive displays during service encounters. Organizational Behavior and Human Decision Processes, 96, 38–55.Google Scholar

Grandey, A. A., Rafaeli, A., Ravid, S., Wirtz, J., & Steiner, D. (2010). Emotion display rules at work in the global service economy: The special case of the customer. Journal of Service Management, 21, 388–412.Google Scholar

Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2, 271–299.Google Scholar

Gross, J. J. (2015). The extended process model of emotion regulation: Elaborations, applications, and future directions. Psychological Inquiry, 26, 130–137.Google Scholar

Gruber, J., Mauss, I. B., & Tamir, M. (2011). A dark side of happiness? How, when, and why happiness is not always good. Perspectives on Psychological Sciences, 6, 222–233.Google Scholar

Guy, M. E., & Lee, H. J. (2015). How emotional intelligence mediates emotional labor in public service jobs. Review of Public Personnel Administration, 35, 261–277.Google Scholar

Heaphy, E. D. (2017). “Dancing on hot coals”: How emotion work facilitates collective sensemaking. Academy of Management Journal, 60, 642–670.Google Scholar

Hensel, J. M., Hensel, R. A., & Dewa, C. S. (2015). What motivates direct support providers to do the work they do? Journal of Intellectual & Developmental Disability, 40, 297–303.Google Scholar

Hislop, D., Coombs, C., Taneva, S., & Barnard, S. (2017). Impact of artificial intelligence, robotics and automation technologies on work (CIPD rapid evidence review report). London, UK: Chartered Institute of Personnel and Development.Google Scholar

Hochschild, A. R. (1983). The managed heart: Commercialization of human feeling. Berkeley: University of California Press.Google Scholar

Inglehart, R., & Welzel, C. (2010). Changing mass priorities: The link between modernization and democracy. Perspectives on Politics, 8, 551–567.Google Scholar

Joseph, D. L., & Newman, D. A. (2010). Emotional intelligence: An integrative meta-analysis and cascading model. Journal of Applied Psychology, 95, 54–78.Google Scholar

Keysers, C., & Gazzola, V. (2009). Expanding the mirror: vicarious activity for actions, emotions, and sensations. Current Opinion in Neurobiology. 19, 666–671.Google Scholar

Kramer, R. M. (1996). Divergent realities and convergent disappointments in hierarchic relation: Trust and the intuitive auditor at work. In Kramer, R. M. & Tyler, T. R. (Eds.), Trust in organizations: Frontiers of theory and research (pp. 216–245). Thousand Oaks, CA: Sage.Google Scholar

Larsen, J. T., & McGraw, A. P. (2011). Further evidence for mixed emotions. Journal of Personality and Social Psychology, 100, 1095–1110.Google Scholar

Larsen, J. T., McGraw, A. P., & Cacioppo, J. T. (2001). Can people feel happy and sad at the same time? Journal of Personality and Social Psychology, 81, 684–696.Google Scholar

Lee, K., & Allen, N. J. (2002). Organizational citizenship behavior and workplace deviance: The role of affect and cognitions. Journal of Applied Psychology, 87, 131–142.Google Scholar

Leung, K., Ang, S., & Tan, M. L. (2014). Intercultural competence. Annual Review of Organizational Psychology and Organizational Behavior, 1, 489–519.Google Scholar

Levine, E. L., Xu, X., Yang, L.-Q., Ispas, D., Pitariu, H. D., Bian, R., … & Musat, S. (2011). Cross-national explorations of the impact of affect at work using the state–trait emotion measure: A coordinated series of studies in the United States, China, and Romania. Human Performance, 24, 405–442.Google Scholar

Lyubomirsky, S., King, L., & Diener, E. (2005). The benefits of frequent positive affect: Does happiness lead to success? Psychological Bulletin, 131, 803–855.Google Scholar

Martínez-Tur, V., Estreder, Y., Tomás, I., Ramos, J., & Luque, O. (2018). Interaction between functional and relational service quality: Hierarchy vs. compensation. Service Industries Journal, doi:10.1080/02642069.2018.1492562Google Scholar

McClure, P. (2018). “You’re fired,” says the robot: The rise of automation in the workplace, technophobes, and fears of unemployment. Social Science Computer Review, 36, 139–156.Google Scholar

McCullough, M. E., Emmons, R. A., & Tsang, J.-A. (2002). The grateful disposition: A conceptual and empirical topography. Journal of Personality and Social Psychology, 82, 112–127.Google Scholar

Mendoza-Denton, R., Ayduk, O., Mischel, W., Shoda, Y., & Testa, A. (2001). Person X situation interactionism in self-encoding (I am … when … ): Implications for affect regulation and social information processing. Journal of Personality and Social Psychology, 80, 533–544.Google Scholar

Merritt, S. (2011). Affective processes in human–automation interactions. Human Factors, 53, 356–370.Google Scholar

Naragon-Gainey, K., McMahon, T. P., & Chacko, T. P. (2017). The structure of common emotion regulation strategies: A meta-analytic examination. Psychological Bulletin, 143, 384–427.Google Scholar

Picard, R. W. (2000). Affective computing. Boston, MA: MIT Press.Google Scholar

Poh, M., Swenson, N. C., & Picard, R. W. (2010). A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE Transactions on Biomedical Engineering, 57, 1243–1252.Google Scholar

Rafaeli, A., & Sutton, R. I. (1987). Expression of emotion as part of the work role. Academy of Management Review, 12, 23–37.Google Scholar

Roberson, Q. M. (2019). Diversity in the workplace: A review, synthesis, and future research agenda. Annual Review of Organizational Psychology and Organizational Behavior, 6, 69–88.Google Scholar

Shockley, K. M., Ispas, D., Rossi, M. E., & Levine, E. L. (2012). A meta-analytic investigation of the relationship between state affect, discrete emotions, and job performance. Human Performance, 25, 377–411.Google Scholar

Şimşek, Ö. F., Günlü, E., & Erkuş, A. (2012). Occupation as a personal project system: Application of the ontological well-being concept to workplace. Journal of Happiness Studies: An Interdisciplinary Forum on Subjective Well-being, 13, 203–223.Google Scholar

Söderlund, M., & Rosengren, S. (2010). The happy versus unhappy service worker in the service encounter: Assessing the impact on customer satisfaction. Journal of Retailing and Consumer Services, 17, 161–169.Google Scholar

Taylor, T., Mallinson, C., & Bloch, K. (2008). “Looking for a few good women”: Volunteerism as an interaction in two organizations. Nonprofit and Voluntary Sector Quarterly, 37, 389–410.Google Scholar

Teding van Berkhout, E., & Malouff, J. M. (2016). The efficacy of empathy training: A meta-analysis of randomized controlled trials. Journal of Counseling Psychology, 63, 32–41.Google Scholar

Tetrick, L. E., & Winslow, C. J. (2015). Workplace stress management interventions and health promotion. Annual Review of Organizational Psychology and Organizational Behavior, 2, 583–603.Google Scholar

Totterdell, P., & Holman, D. (2003). Emotion regulation in customer service roles: Testing a model of emotional labor. Journal of Occupational Health Psychology, 8, 55–73.Google Scholar

United Nations (2017). International migration report 2017. New York, NY: United Nations.Google Scholar

United Nations (2018). Human development indices and indicators: 2018 statistical update. New York, NY: United Nations.Google Scholar

Watson, D. (2000). Mood and temperament. New York, NY: Guilford.Google Scholar

Watson, D., & Clark, L. A. (1999). The PANAS-X: Manual for the positive and negative affect schedule – expanded form. Iowa City: University of Iowa (original work published in 1994).Google Scholar

Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070.Google 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: An annual series of analytical essays and critical reviews (Volume 18, pp. 1–74). Greenwich, CT, and London, UK: Elsevier Science/JAI.Google Scholar

Yagil, D., & Medler-Liraz, H. (2013). Moments of truth: Examining transient authenticity and identity in service encounters. Academy of Management Journal, 56, 473–497.Google Scholar

Yang, L.-Q., Simon, L. S., Wang, L., & Zheng, X. (2016). To branch out or stay focused? Affective shifts differentially predict organizational citizenship behavior and task performance. Journal of Applied Psychology, 101, 831–845.Google Scholar

Zapf, D. (2002). Emotion, work and psychological well being: A review of the literature and some conceptual considerations. Human Resources Management Review, 12, 237–268.Google Scholar

Zyphur, M. J., Kaplan, S. A., & Christian, M. S. (2008). Assumptions of cross-level measurement and structural invariance in the analysis of multilevel data: Problems and solutions. Group Dynamics: Theory, Research, and Practice, 12, 127–140.Google Scholar