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Empirical Findings

  • Lenka Ďuranová
  • Sandra Ohly
Chapter
Part of the SpringerBriefs in Psychology book series (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.

Keywords

Work Engagement Sleep Quantity Work Purpose Boundary Management Experience Sampling Methodology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 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.CrossRefPubMedGoogle Scholar
  2. 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.CrossRefGoogle Scholar
  3. 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
  4. 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.CrossRefPubMedGoogle Scholar
  5. 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.CrossRefGoogle Scholar
  6. 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.CrossRefGoogle Scholar
  7. Berkowsky, R. W. (2013). When you just cannot get away. Information, Communication & Society, 16(4), 519–541. doi: 10.1080/1369118X.2013.772650.CrossRefGoogle Scholar
  8. 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.CrossRefGoogle Scholar
  9. 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
  10. 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
  11. 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.CrossRefGoogle Scholar
  12. 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.CrossRefGoogle Scholar
  13. 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.CrossRefGoogle Scholar
  14. 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.CrossRefPubMedGoogle Scholar
  15. 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.CrossRefGoogle Scholar
  16. 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.CrossRefGoogle Scholar
  17. 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.CrossRefGoogle Scholar
  18. 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.CrossRefPubMedGoogle Scholar
  19. 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.CrossRefGoogle Scholar
  20. 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.CrossRefGoogle Scholar
  21. 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.CrossRefGoogle Scholar
  22. 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.CrossRefGoogle Scholar
  23. 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
  24. 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.CrossRefGoogle Scholar
  25. 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.CrossRefGoogle Scholar
  26. 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.CrossRefGoogle Scholar
  27. 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.CrossRefGoogle Scholar
  28. 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.CrossRefPubMedGoogle Scholar
  29. 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.PubMedGoogle Scholar
  30. 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.CrossRefGoogle Scholar
  31. 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.CrossRefGoogle Scholar
  32. 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.CrossRefGoogle Scholar
  33. 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.CrossRefGoogle Scholar
  34. 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.CrossRefGoogle Scholar
  35. 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.CrossRefGoogle Scholar
  36. 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.CrossRefGoogle Scholar
  37. 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.CrossRefGoogle Scholar
  38. 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.CrossRefGoogle Scholar
  39. 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.CrossRefPubMedGoogle Scholar
  40. 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.CrossRefPubMedGoogle Scholar
  41. 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.CrossRefGoogle Scholar
  42. 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.CrossRefGoogle Scholar
  43. 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.CrossRefGoogle Scholar
  44. 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.CrossRefGoogle Scholar
  45. 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.CrossRefGoogle Scholar
  46. 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
  47. 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.CrossRefGoogle Scholar
  48. 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.CrossRefGoogle Scholar
  49. 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.CrossRefGoogle Scholar
  50. 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.CrossRefPubMedGoogle Scholar
  51. 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.CrossRefGoogle Scholar
  52. 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.CrossRefGoogle Scholar
  53. 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.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Lenka Ďuranová
    • 1
  • Sandra Ohly
    • 1
  1. 1.Business Psychology GroupUniversity of KasselKasselGermany

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