Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Understanding the Technostress: An Individual Difference Investigation

기술스트레스에 대한 이해: 개인 차이에 대한 연구

  • Received : 2013.12.04
  • Accepted : 2014.03.20
  • Published : 2014.03.28
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Abstract

This research extends the research stream of technostress by incorporating age and gender as moderators of user perceptions in the workplace. Individual reactions toward technostress were studied throughout the past decade. However, changing demographic patterns have led to an increasingly older workforce. Gender effects in individual reactions toward technological stress differ based on age. Specifically, gender differences in technology perceptions became more pronounced among older workers, but a unisex pattern of results emerged among younger workers. The results from this study suggest that the factors of technostress is changed by gender and age. In light of these findings, theoretical and practical implications for researchers and practitioners are discussed.

본 연구의 목적은 기술스트레스에 관련된 기존의 연구에서 인구통계학적 측면에서 나이와 성별에 대한 개인간 차이가 발생하는지 살펴보고자 수행되었다. 기술스트레스에 대한 개인의 반응은 이미 오랫동안 연구되어왔다. 하지만 변화하는 인구통계학적 패턴이 기존 연구에서 반영되지 않은 경우가 많았다. 특히 업무현장에서 정보기술은 개인별 특성에 의해 깊이 관련이 있기에 관련 연구가 필요하다. 연구 결과 기술스트레스의 구성 요인들은 나이와 성별에 따른 차이를 나타내는 것으로 확인되었다.

Keywords

References

  1. Arnetz, B. B., Wiholm, C., Technological Stress: Psychophysiological Symptoms in Modern Offices, Journal of Psychosomatic Research, vol. 43, no. 1, pp. 35-42, 1997. https://doi.org/10.1016/S0022-3999(97)00083-4
  2. Ayyagari, R., Grover, V., and Purvis, R., Technostress: Technological Antecedents and Implications, MIS Quarterly, vol. 35, no. 1, pp. 831-858, 2011.
  3. Bitchteler, J., Technostress in Libraries: Cause, Effects and Solution, Electronic Library, vol. 5, no. 5, pp. 282-287, 1987. https://doi.org/10.1108/eb044766
  4. Brillhart, P. E., Technostress in the Workplace: Managing Stress in the Electronic Workplace, Journal of American Academy of Business, pp. 302-307, 2004.
  5. Brod, C., Managing Technostress: Optimizing the Use of Computer Technology, Personnel Journal, vol. 61, pp. 753-757, 1982.
  6. Caro, D. H. J., and Sethi, A. S., Strategic Management of Technostress: The Chaining of Prometheus, Journal of Medical Systems, vol. 9, no. 5/6, pp. 291-304, 1985. https://doi.org/10.1007/BF00992568
  7. Champion, S., Technostress: Technology's Toll, School Library Journal, pp. 48-51, 1988.
  8. Chi, S., Das, S., and Rao, H. R., Factors Affecting Bloggers' Knowledge Sharing: An Investigation Across Gender, Journal of MIS, vol. 28, no. 3, pp.309-341, 2012.
  9. Costello, A. B., and Osborne, J. W., Best Practices in Exploratory Factor Analysis: Four Recommendations for Getting the Most from Your Analysis, Practical Assessment, Research & Evaluation, vol. 10, no. 7, pp. 1-9, 2005.
  10. Eagly, A. H., and Wood, W., Explaining Sex Differences in Social Behavior: A Meta-Analytic Perspective, Personality & Social Psychology Bulletin, vol. 17, no. 3, pp.306-315, 1991. https://doi.org/10.1177/0146167291173011
  11. Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., and Strahan, E. J., Evaluating the Use of Exploratory Factor Analysis in Psychological Research, Psychological Methods, vol. 4, no. 3, pp. 272-299, 1999. https://doi.org/10.1037/1082-989X.4.3.272
  12. Franke, G. R., Crown, D. F., and Spake, D. F., Gender Differences in Ethical Perceptions of Business Practices: A Social Role Theory Perspective, Journal of Applied Psychology, vol. 82, no. 6, pp. 920-934, 1997. https://doi.org/10.1037/0021-9010.82.6.920
  13. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L., Multivariate Data Analysis, 6th eds., Pearson Education International, Upper Saddle River, New Jersey, 2006.
  14. Hayton, J. C., Allen, D. G., and Scarpello, V., Factor Retention Decisions in Exploratory Factor Analysis: A Tutorial on Parallel Analysis, Organizational Research Methods, vol. 7, no. 2, pp. 191-205, 2004. https://doi.org/10.1177/1094428104263675
  15. Henson, R. K., and Roberts, J. K., Use of Exploratory Factor Analysis in Published Research Common Errors and Some Comment on Improved Practice, Educational and Psychological Measurement, vol. 66, no. 3, pp. 393-416, 2006. https://doi.org/10.1177/0013164405282485
  16. Kahn, J. H., Factor Analysis in Counseling Psychology Research, Training, and Practice: Principles, Advances, and Applications, Counseling Psychologist, vol. 34, no. 5, pp. 684-718, 2006. https://doi.org/10.1177/0011000006286347
  17. Kite, M. E., Stockdale, G. D., Whitley, Jr., B. E., and Johnson, b. T., Attitudes toward Younger and Older Adults: An Updated Meta-Analytic Review, Journal of Social Issues, vol. 61, no. 2, pp. 241-266, 2005. https://doi.org/10.1111/j.1540-4560.2005.00404.x
  18. Lin, X., Li, Y., Califf, C. B., and Featherman, M., Can Social Role Theory Explain Gender Differences in Facebook Usage, 46th Hawaii International Conference on System Sciences, pp. 690-699,2013.
  19. O'Brien, K. E., Biga, a., Kessler, S. R., and Allen, T. D., A Meta-Analytic Investigation of Gender Differences in Mentoring, Journal of Management, vol. 36, pp. 537-554, 2010.
  20. Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., and Tu, Q., The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation, Information Systems Research, vol. 19, no. 4, pp. 417-433, 2008. https://doi.org/10.1287/isre.1070.0165
  21. Sethi, V., King, R. C., and Quick, J. C., What Causes Stress in Information System Professionals?, Communications of the ACM, vol. 47, no. 3, pp. 99-102, 2004.
  22. Shu, Q., Tu, Q., and Wang, K., The Impact of Computer Self-Efficacy and Technology Dependence on Computer-Related Technostress: A Social Cognitive Theory Perspective, International Journal of Human-Computer Interaction, vol. 27, no. 10, pp. 923-939, 2011. https://doi.org/10.1080/10447318.2011.555313
  23. Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., and Ragu-Nathan, T. S., The Impact of Technostress on Role Stress and Productivity, Journal of Management Information Systems, vol. 24, no. 1, pp. 301-328, 2007. https://doi.org/10.2753/MIS0742-1222240109
  24. Tarafdar, M., Tu, Q., and Ragu-Nathan, T. S., Impact of Technostress on End-User Satisfaction and Performance, Journal of Management Information Systems, vol. 27, no. 3, pp. 303-334, 2011.
  25. Tarafdar, M., Tu, Q., Ragu-Nathan, T. S., and Ragu-Nathan, B. S., Crossing to the Dark Side: Examining Creators, Outcomes, and Inhibitors of Technostress, Communications of the ACM, vol. 54, no. 9, pp. 113-120, 2011.
  26. Tinsley, H. E. A., and Tinsley, D. J., Uses of Factor Analysis in Counseling Psychology Research, Journal of Counseling Psychology, vol. 34, no. 4, pp. 414-424, 1987. https://doi.org/10.1037/0022-0167.34.4.414
  27. Sankar, Y., and Natale, S. M., Technological Change, Technostress, and Industrial Humanism, International Journal of Value Based Management, vol. 3, no. 1, pp. 91-103, 1990. https://doi.org/10.1007/BF01560527
  28. Tu, Q., Wang, K., and Shu, Q., Computer-Related Technostress in China, Communications of the ACM, vol. 48, no. 4, pp. 77-81, 2005.
  29. Wang, K., Shu, Q., and Tu, Q., Technostress under Different Organizational Environments: An Empirical Investigation, Computers in Human Behavior, vol. 24, pp. 3002-3013, 2008. https://doi.org/10.1016/j.chb.2008.05.007