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Applying the job demand-resource theoretical framework to better understand the stress inducing and reducing aspects of IT in jobs

Published:30 May 2013Publication History

ABSTRACT

While past literature in information systems (IS) has noted the stress inducing effect of information technology (IT) on employee well-being, little research has focused on the stress reducing potential of IT. This paper is the first in IS to makes use of the Job Demand-Resource theoretical framework to examine the concurrent stress inducing and stress reducing impact of IT on employee's work exhaustion, job satisfaction and turnover intention. In particular, we hypothesize that stress induced due to having to learn IT and being monitored by IT can cause work exhaustion while informational, communicational and usability support available by IT can cause job satisfaction. We further hypothesize that IT's stress reducing potential moderates the effect of general job demands on work exhaustion. The research can help managers identify the source of employee turnover and the appropriate interventions needed to reduce turnover when IT is introduced into a job.

References

  1. Ahuja, M.K., Chudoba, K.M., Kacmar, C.J., Mcknight, D.H., and George, J.F., 2007. It road warriors: Balancing work-family conflict, job autonomy, and work overload to mitigate turnover intentions. MIS Quart. 31, 1, 1--17. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Ayyagari, R., Grover, V., and Purvis, R., 2011. Technostress: Technical antecedents and implications. MIS Quart. 35, 4, 831--858. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bakker, A.B. and Demerouti, E., 2007. The job demands-resources model: State of the art. Journal of Managerial Psychology 22, 3, 309.Google ScholarGoogle ScholarCross RefCross Ref
  4. Cohen, S. and Wills, T.A., 1985. Stress, social support, and the buffering hypothesis. Psychological Bulletin 98, 2, 310--357.Google ScholarGoogle ScholarCross RefCross Ref
  5. De Croon, E.M., Sluiter, J.K., and Frings-Dresen, M.H.W., 2003. Need for recovery after work predicts sickness absence: A 2-year prospective cohort study in truck drivers. J. Psychosomatic Res. 55, 4, 331--339.Google ScholarGoogle ScholarCross RefCross Ref
  6. Dennis, A.R., Wixom, B.H., and Vandenberg, R.J., 2001. Understanding fit and appropriation effects in group support systems via meta-analysis. MIS Quart. 25, 2, 167--193. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Desanctis, G. and Poole, M.S., 1994. Capturing the complexity in advanced technology use: Adaptive structuration theory. Organ. Sci. 5, 2, 121--147.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Judge, T.A., Thoreson, C.J., Bono, J.E., and Patton, G.K., 2001. The job satisfaction-job performance relationship: A qualitative and quantitative review. Psychological Bulletin 127, 3, 376--407.Google ScholarGoogle ScholarCross RefCross Ref
  9. Kahn, R.L. and Byosserie, P., 1992. Stress in organizations. In Handbook of industrial and organizational psychology M.D. Dunette and L.M. Hough Eds. Consulting Psychologist Press, Palo Alto, CA.Google ScholarGoogle Scholar
  10. Mobley, W.H., Griffeth, R.W., Hand, H.H., and Meglino, B.M., 1979. Review and conceptual analysis of the employee turnover process. Psychological Bulletin 86, 3, 493--522.Google ScholarGoogle ScholarCross RefCross Ref
  11. Moore, J.E., 2000. One road to turnover: An examination of work exhaustion in technology professionals. MIS Quart. 24, 1, 141--168. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Ragu-Nathan, T.S., Tarafdar, M., and Ragu-Nathan, B.S., 2008. The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Inform. Systems Res. 19, 4, 417--433.Google ScholarGoogle ScholarCross RefCross Ref
  13. Shaw, J. and Weekley, J., 1985. The effects of objective work-load variations of psychological strain and post-work-load performance. J. Management 11, 1, 87--98.Google ScholarGoogle Scholar
  14. Tarafdar, M., Qiang, T.U., Ragu-Nathan, B.S., and Ragu-Nathan, T.S., 2007. The impact of technostress on role stress and productivity. J. Management Inform. Systems 24, 1 (Summer2007), 301--328. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Tarafdar, M., Tu, Q., and Ragu-Nathan, T.S., 2010. Impact of technostress on end-user satisfaction and performance. J. Management Inform. Systems 27, 3 (Winter2010), 303--334. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Thatcher, J.B. and Perrewe, P.L., 2002. An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quart. 26, 4, 381--396. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Xanthopoulou, D., Bakker, A.B., Demerouti, E., and Schaufeli, W.B., 2007. The role of personal resources in the job demands-resources model. International Journal of Stress Management 14, 2, 121--141.Google ScholarGoogle ScholarCross RefCross Ref

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      cover image ACM Conferences
      SIGMIS-CPR '13: Proceedings of the 2013 annual conference on Computers and people research
      May 2013
      208 pages
      ISBN:9781450319751
      DOI:10.1145/2487294

      Copyright © 2013 ACM

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      Publication History

      • Published: 30 May 2013

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      SIGMIS-CPR '13 Paper Acceptance Rate29of33submissions,88%Overall Acceptance Rate300of480submissions,63%

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