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Persistent Work-related Technology Use, Recovery and Well-being Processes pp 35–59Cite as

Empirical Findings

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Part of the book series: SpringerBriefs in Psychology ((BRIEFSPSYCHOL))

Abstract

To date, only few empirical studies have examined antecedents and consequences of work-related ICT use during non-work time. In this chapter, we provide an overview of these studies to demonstrate the current state of research in this field. At first, we offer an extensive overview of operationalization of ICT use. Then, we present empirical evidence and assumptions related to predictors and outcomes of work-related ICT use after hours. The results will contribute to the foregoing theoretical basis of our final research model that will be described below. Our aim is to emphasize the importance of this research field viewing the previous empirical results of ICT use, and to show some research gaps especially with regard to individual’s recovery and well-being.

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References

  • 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), 1197–1202. doi:10.3109/07420528.2013.800089.

    Article  PubMed  Google Scholar 

  • Arlinghaus, A., & Nachreiner, F. (2014). Health effects of supplemental work from home in the European Union. Chronobiology International, 31(10), 1–8. doi:10.3109/07420528.2014.957297.

    Article  Google Scholar 

  • Barber, L. K., & Jenkins, J. S. (2013). Creating technological boundaries to protect bedtime: Examining work-home boundary management, psychological detachment and sleep. Stress and Health. doi:10.1002/smi.2536.

    Google Scholar 

  • Barber, L. K., & Santuzzi, A. M. (2015). Please respond: Workplace telepressure and employee recovery. Journal of Occupational Health Psychology, 20(2), 172–189. doi:10.1037/a0038278.

    Article  PubMed  Google Scholar 

  • Barley, S. R., Meyerson, D. E., & Grodal, S. (2011). E-mail as a source and symbol of stress. Organization Science, 22(4), 887–906. doi:10.1287/orsc.1100.0573.

    Article  Google Scholar 

  • Barrick, M. R., & Mount, M. K. (1991). The big five personality dimensions and job performance: A meta-analysis. Personnel Psychology, 44(1), 1–26. doi:10.1111/j.1744-6570.1991.tb00688.x.

    Article  Google Scholar 

  • Berkowsky, R. W. (2013). When you just cannot get away. Information, Communication & Society, 16(4), 519–541. doi:10.1080/1369118X.2013.772650.

    Article  Google 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), 592–610. doi:10.1177/0149206307302552.

    Article  Google Scholar 

  • Chang, A.-M., Aeschbach, D., Duffy, J. F., & Czeisler, C. A. (2014). Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proceedings of the National Academy of Sciences of the United States of America. doi:10.1073/pnas.1418490112.

    Google Scholar 

  • Chen, A., & Karahanna, E. (2014). Boundaryless technology: Understanding the effects of technology-mediated interruptions across the boundaries between work and personal life. AIS Transactions on Human-Computer Interaction, 6(2), 16–36.

    Google Scholar 

  • Chesley, N. (2005). Blurring boundaries? Linking technology use, spillover, individual distress, and family satisfaction. Journal of Marriage and Family, 67(5), 1237–1248. doi:10.1111/j.1741-3737.2005.00213.x.

    Article  Google Scholar 

  • Chesley, N. (2006). Families in a high-tech age: Technology usage patterns, work and family correlates, and gender. Journal of Family Issues, 27(5), 587–608. doi:10.1177/0192513X05285187.

    Article  Google Scholar 

  • Currie, J., & Eveline, J. (2011). E-technology and work/life balance for academics with young children. Higher Education, 62(4), 533–550. doi:10.1007/s10734-010-9404-9.

    Article  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. doi:10.1037/a0029837.

    Article  PubMed  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), 227–268. doi:10.1207/S15327965PLI1104_01.

    Article  Google Scholar 

  • 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), 411–440. doi:10.1111/j.1464-0597.2012.00530.x.

    Article  Google Scholar 

  • Derks, D., ten Brummelhuis, L. L., Zecic, D., & Bakker, A. B. (2014a). Switching on and off …: Does smartphone use obstruct the possibility to engage in recovery activities? European Journal of Work and Organizational Psychology, 23(1), 80–90. doi:10.1080/1359432X.2012.711013.

    Article  Google Scholar 

  • Derks, D., van Mierlo, H., & Schmitz, E. B. (2014b). 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), 74–84. doi:10.1037/a0035076.

    Article  PubMed  Google 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), 155–177. doi:10.1111/joop.12083.

    Article  Google 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), 500–508. doi:10.1016/j.jvb.2011.08.007.

    Article  Google Scholar 

  • Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125(2), 276–302. doi:10.1037//0033-2909.125.2.276.

    Article  Google Scholar 

  • Duxbury, L. E., Higgins, C. A., & Thomas, D. (1996). Work and family environments and the adoption of computer-supported supplemental work-at-home. Journal of Vocational Behavior, 49(1), 1–23. doi:10.1006/jvbe.1996.0030.

    Article  Google Scholar 

  • Edwards, J. R., Caplan, R. D., & Harrison, R. V. (1998). Person-environment fit theory: Conceptual foundations, empirical evidence, and directions for future research. In C. L. Cooper (Ed.), Theories of organizational stress (pp. 28–67). Oxford/New York: Oxford University Press.

    Google Scholar 

  • Fenner, G. H., & Renn, R. W. (2004). Technology-assisted supplemental work: Construct definition and a research framework. Human Resource Management, 43(2–3), 179–200. doi:10.1002/hrm.20014.

    Article  Google 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), 63–82. doi:10.1177/0018726709351064.

    Article  Google Scholar 

  • Glavin, P., & Schieman, S. (2010). Interpersonal context at work and the frequency appraisal and consequences of boundary spanning demands. Sociological Quarterly, 51(2), 205–225. doi:10.1111/j.1533-8525.2010.01169.x.

    Article  Google Scholar 

  • Glavin, P., & Schieman, S. (2012). Work-family role blurring and work-family conflict: The moderating influence of job resources and job demands. Work and Occupations, 39(1), 71–98. doi:10.1177/0730888411406295.

    Article  Google Scholar 

  • Glavin, P., Schieman, S., & Reid, S. (2011). Boundary-spanning work demands and their consequences for guilt and psychological distress. Journal of Health and Social Behavior, 52(1), 43–57. doi:10.1177/0022146510395023.

    Article  PubMed  Google Scholar 

  • Killion, J. B., Johnston, J. N., Gresham, J., Gipson, M., Vealé, B. L., et al. (2014). Smart device use and burnout among health science educators. Radiologic Technology, 86(2), 144–154.

    PubMed  Google 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), 11–23. doi:10.1016/j.obhdp.2014.01.001.

    Article  Google Scholar 

  • Leung, L. (2011). Effects of ICT connectedness, permeability, flexibility, and negative spillovers on burnout and job and family satisfaction. An Interdisciplinary Journal on Humans in ICT Environments, 7(3), 250–267.

    Article  Google Scholar 

  • MacCormick, J. S., Dery, K., & Kolb, D. G. (2012). Engaged or just connected? Smartphones and employee engagement. Organizational Dynamics, 41(3), 194–201. doi:10.1016/j.orgdyn.2012.03.007.

    Article  Google Scholar 

  • Matusik, S. F., & Mickel, A. E. (2011). Embracing or embattled by converged mobile devices? Users’ experiences with a contemporary connectivity technology. Human Relations, 64(8), 1001–1030. doi:10.1177/0018726711405552.

    Article  Google Scholar 

  • Nam, T. (2014). Technology use and work-life balance. Applied Research in Quality of Life, 9(4), 1017–1040. doi:10.1007/s11482-013-9283-1.

    Article  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. doi:10.1027/1866-5888/a000114.

    Article  Google Scholar 

  • Ohly, S., Sonnentag, S., Niessen, C., & Zapf, D. (2010). Diary studies in organizational research. Journal of Personnel Psychology, 9(2), 79–93. doi:10.1027/1866-5888/a000009.

    Article  Google 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), 432–445. doi:10.1016/j.jvb.2005.10.006.

    Article  Google Scholar 

  • Park, Y., & Jex, S. M. (2011). Work-home boundary management using communication and information technology. International Journal of Stress Management, 18(2), 133–152. doi:10.1037/a0022759.

    Article  Google 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), 457–467. doi:10.1037/a0023594.

    Article  PubMed  Google Scholar 

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. doi:10.1037/0021-9010.88.5.879.

    Article  PubMed  Google Scholar 

  • Richardson, K., & Benbunan-Fich, R. (2011). Examining the antecedents of work connectivity behavior during non-work time. Information and Organization, 21(3), 142–160. doi:10.1016/j.infoandorg.2011.06.002.

    Article  Google Scholar 

  • Richardson, K. M., & Thompson, C. A. (2012). High tech tethers and work-family conflict: A conservation of resources approach. Engineering Management Research, 1(1), 29. doi:10.5539/emr.v1n1p29.

    Article  Google Scholar 

  • Schieman, S., & Glavin, P. (2008). Trouble at the border?: Gender, flexibility at work, and the work-home interface. Social Problems, 55(4), 590–611. doi:10.1525/sp.2008.55.4.590.

    Article  Google Scholar 

  • Schieman, S., & Young, M. C. (2013). Are communications about work outside regular working hours associated with work-to-family conflict, psychological distress and sleep problems? Work & Stress, 27(3), 244–261. doi:10.1080/02678373.2013.817090.

    Article  Google Scholar 

  • Senarathne Tennakoon, K. U., da Silveira, G. J., & Taras, D. G. (2013). Drivers of context-specific ICT use across work and nonwork domains: A boundary theory perspective. Information and Organization, 23(2), 107–128. doi:10.1016/j.infoandorg.2013.03.002.

    Article  Google Scholar 

  • Sroykham, W., & Wongsawat, Y. (2013, March 3). Effects of LED-backlit computer screen and emotional self-regulation on human melatonin production. 35th annual international conference of the IEEE EMBS, Osaka, Japan.

    Google Scholar 

  • Wajcman, J., Bittman, M., & Brown, J. E. (2008). Families without borders: Mobile phones, connectedness and work-home divisions. Sociology, 42(4), 635–652. doi:10.1177/0038038508091620.

    Article  Google Scholar 

  • Wajcman, J., Rose, E., Brown, J. E., & Bittman, M. (2010). Enacting virtual connections between work and home. Journal of Sociology, 46(3), 257–275. doi:10.1177/1440783310365583.

    Article  Google Scholar 

  • Ward, S., & Steptoe-Warren, G. (2013). 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), 8. doi:10.5539/emr.v3n1p8.

    Article  Google Scholar 

  • Wood, B., Rea, M. S., Plitnick, B., & Figueiro, M. G. (2013). Light level and duration of exposure determine the impact of self-luminous tablets on melatonin suppression. Applied Ergonomics, 44(2), 237–240. doi:10.1016/j.apergo.2012.07.008.

    Article  PubMed  Google Scholar 

  • Wright, K. B., Abendschein, B., Wombacher, K., O’Connor, M., Hoffman, M., Dempsey, M., et al. (2014). Work-related communication technology use outside of regular work hours and work life conflict: The influence of communication technologies on perceived work life conflict, burnout, job satisfaction, and turnover intentions. Management Communication Quarterly, 28(4), 507–530. doi:10.1177/0893318914533332.

    Article  Google Scholar 

  • Yuan, Y., Archer, N., Connelly, C. E., & Zheng, W. (2010). Identifying the ideal fit between mobile work and mobile work support. Information & Management, 47(3), 125–137. doi:10.1016/j.im.2009.12.004.

    Article  Google Scholar 

  • Yun, H., Kettinger, W. J., & Lee, C. C. (2012). A new open door: The smartphone’s impact on work-to-life conflict, stress, and resistance. International Journal of Electronic Commerce, 16(4), 121–152. doi:10.2753/JEC1086-4415160405.

    Article  Google Scholar 

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Authors and Affiliations

  1. Business Psychology Group, University of Kassel, Kassel, Germany

    Lenka Ďuranová & Sandra Ohly

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  1. Lenka Ďuranová
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  2. Sandra Ohly
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Ďuranová, L., Ohly, S. (2016). Empirical Findings. In: Persistent Work-related Technology Use, Recovery and Well-being Processes. SpringerBriefs in Psychology. Springer, Cham. https://doi.org/10.1007/978-3-319-24759-5_4

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