Technology and Stress (Techno-stress): A Vicious Circle of Work-Life Imbalance Among Youth.
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Abstract
In this paper we have tried to find the impact of technology advancement and automation, on the growth of organization performance. There is a special component within any enterprise or organization, the human which is a must for the overall development of the organization from holistic view. This does not merely entail the technical usage of the equipment, but most specifically the qualitative one .Both individual and group resistance to the implementation of such proposed ideas are very likely to occur, which cannot be said about the acceptance of cultural change. The results will definitely reflect some major findings which may be further researched by academicians, industrialist and psychologists. This research may be extended to various specific services along with specific target groups. The study will reflect the present status of techno-stress management approaches and their impact on the lives of youth. In this research, factor analysis will be used to exact the key determining variables. The psychological and behavioral alterations as well as disorders (at larger extent of the tech-stress), heightened the importance of tech-stress so as to curb the technological dominance over the human senses particularly at this age of maximum optimization and productivity. The data will be primary in nature with convenience sampling. Keywords: Digital depression, informatics culture, work life balance, stress
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References
1. Amoako-Gyampah, K. (2007), “Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP ?implementation”, Computers in Human Behavior, 23, 1232–1248.
2. Bandura, A. (1986), “Social foundations of thought and action: A social cognitive theory”, Englewood Cliffs, NJ: Prentice-Hall.
3. Bandura, A. (1997), “Self-efficacy: The exercise of control”, Freeman, New York, NY.
4. Bandura, A. (2001), “ Social cognitive theory: An agentic perspective”. Annual Review of Psychology, 52, 1–26.
5. Barbeite, F. G., & Weiss, E. M. (2004), “Computer self-efficacy and anxiety scales for an Internet sample: testing measurement ?equivalence of existing measures and development of new scales” Computers in Human Behavior, 20(1), 1–15.
6. Barki, H., & Hartwick, J. (1994), “Measuring user participation, user involvement, and user Attitude” MIS Quarterly, 18(1), 59–82.
7. Bolt, M. A., Killough, L. N., & Koh, H. C. (2001), “Testing the interaction effects of task complexity in computer training using the ?social cognitive model”, Decision Sciences, 32, 1.
8. Brillhart, P. E. (2004), “Technostress in the workplace managing stress in the electronic Workplace”, Journal of American Academy ?of Business, Cambridge, 5(½), 302–307.
9. Brod, C.(1984), “Technostress: The human cost of the computer revolution”, Addison-Wesley Boston, MA:.
10. Chua, S. L., Chen, D. T., & Wong, A. F. L. (1999), “Computer anxiety and its correlates: A meta-analysis”, Computers in Human ?Behavior, 15, 609–623.
11. Compeau, D. R., & Higgins, C. A. (1995), “Computer self-efficacy: Development of ameasure and initial test”, MIS Quarterly, 19, ?189
12. Compeau, D. R., Higgins, C. A., & Huff, S. (1999), “Social cognitive theory and individual reactions to computing technology: A ?longitudinal study”, MIS Quarterly, 23, 145.
13. Conway, F. T. (1999), “Psychological mood state, psychosocial aspects of work, and musculoskeletal discomfort in intensive video ?display terminal (VDT) work”, International Journal of Human-Computer Interaction, 11, 95–107.
14. Ellen, P. S., Bearden, W. O., & Sharma, S. (1991), “Resistance to technological innovations: An examination of the role of self- ?efficacy and performance satisfaction” Journal of the Academy of Marketing Science, 19, 297–307.
15. Fagan, M. H., Neill, S., &Wooldridge, B. R. (2003), “An empirical investigation into the relationship between computer self-efficacy, ?anxiety, experience support and usage. Journal of Computer Information Systems, 44, 95–104.
16. Folkman, S., Lazarus, R. S., Gruen, R. J., & DeLongis, A. (1986). “Appraisal, coping, health status, and psychological symptoms. ?Journal of Personality and Social Psychology, 50, 571–579.
17. Garland, K. J., & Noyes, J. M. (2008). “Computer attitude scales: How relevant today. Computers in Human Behavior, 24, 563–575.
18. Heinssen, R. K., Glass, C. R., & Knight, L. A. (1987), “Assessing computer anxiety: Development and validation of the computer ?anxiety rating scale”, Computers in Human Behavior, 3(1), 49–59.
19. Hoffman, D. L., Novak, T. P., & Venkatesh, A. (2004), “Has the Internet become indispensable?” Communications of the ACM, 47(7), ?37–42.
20. Howard, G. S., & Smith, R. D. (1986), “Computer anxiety in management: Myth or reality?” Communications of the ACM, 29, ?611–615.
21. Ibrahim, R. Z. A. R., Bakar, A. A., & Nor, S. B. M. (2007), “Techno stress: A study among academic and non academic staff”, ?Proceedings of the 2007 International Conference on Ergonomics and Health Aspects of Work with Computers, 118–124.
22. Johnson, R. D., & Marakas, G. M. (2000), “Research report: The role of behavioural modelling in computer skills
acquisition—toward refinement of the model”, Information Systems Research, 11, 402.
23. Jones, W. J. (1989), “Personality and epistemology: Cognitive social learning theory as a philosophy of science”, Zygon, 24(1), ?23–38.
24. Karuppan, C. M. (1997), “Advanced manufacturing technology and stress: Technology and management support policies”, ?International Journal of Technology Management, 14, 254–264.
25. Kiggundu, M. N. (1981), “Task interdependence and the theory of job design. Academy of Management Review, 6, 499–508.
26. Korunka, C. (1997), “New information technologies, job profiles, and external workload as predictors of subjectively experienced ?stress and dissatisfaction at work”, International Journal of Human-Computer Interaction, 9, 407–424.
27. Lazarus, R. S., & Folkman, S. (1984), “Stress, appraisal and coping”, Springer, New York, NY
28. Liaw, S. S., Chang, W. C., Hung, W. H., & Huang, H. M. (2006), “Attitudes toward search engines as a learning assisted tool: ?approach of Liaw and Huang’s research model”, Computers in Human Behavior, 22, 177–190.
29. Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998), “The multilevel and multifaceted character of computer self-efficacy: Toward ?clarification of the construct and an integrative framework for research”, Information Systems Research, 9, 126–163
30. Maurer, M. M. (1994), “Computer anxiety correlates and what they tell us: A literature Review”, Computers in Human Behavior, 10, ?369–376.
31. McCune, J. C. (1999), “Technology dependence”, Management Review, 88(1), 10.
32. Nahm, A. Y., Solis-Galvan, L. E., Rao, S. S., & Ragu-Nathan, T. S. (2002), “The Q-Sort Method: Assessing reliability and construct ?validity of questionnaire items at a pre-testing stage” Journal of Modern Applied Statistical Methods, 1(1), 11.
33. 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, 417–433.
34. Seppala, P. (2001), “Experience of stress, musculoskeletal discomfort, and eyestrain in computer-based office work: A study in ?municipal workplaces”, International Journal of Human-Computer Interaction, 13, 279–304.
35. Sharma, R., & Yetton, P. (2003), “The contingent effects of training, technical complexity, and task interdependence on successful ?information systems implementation”, MIS Quarterly, 31, 219–238.
36. Smith M. J. (1995), “New technology, automation, and work organization—Stress problems and improved technology ?implementation strategies”, International Journal of Human Factors in Manufacturing, 5(1), 99–116
37. Streeter, D. N. (1975), “Productivity of computer-dependent workers”, IBM Systems Journal. 14, 292.
38. Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007), “The impact of technostress on role stress and productivity”, ?Journal of Management Information Systems, 24(1), 301–328.
39. Thatcher, J. B., & Perrewe, P. L. (2002), “An empirical examination of individual traits as antecendents to computer anxiety and ?computer self-efficacy”, MIS Quarterly, 26, 381.
40. Tu, Q., Wang, K. L., & Shu, Q. (2005), “Computer-related technostress in China”, Communications of the ACM, 48(4), 77–81.
41. Wang, K. L., Shu, Q., & Tu, Q. (2008), “Technostress under different organizational environments: An empirical investigation”, ?Computers in Human Behavior, 24, 3002–3013.
42. Weil, M. M., & Rosen, L. D. (1997), “TechnoStress: Coping with technology @WORK @HOME@PLAY”, Wiley, New York, NY.
43. Zhang, Y., & Espinoza, S. (1998), “Relationships among computer self-efficacy, attitudes toward computers, and desirability of
learning computer skills”, Journal of Research on Computing in Education, 30, 420–436.
