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探讨ICT使用者的科技压力-聚焦于压力的对抗机制

【中文摘要】:因为ICT(Information Communication Technology)在组织中的普及,几乎每个组织都採用ICT来进行工作、营运。然而,由于近年来行动运算(Mobile Computing)的普及化,大多数的员工都拥有智慧型手机、平板电脑或笔记型电脑等行动设备,可供其随时使用上网及使用ICT。因此,ICT的使用,也对员工、组织带来了巨变。儘管ICT带来许多好处,但也为组织带来了负面影响,像是使员工感到焦虑、不满意、工作超载、甚至拒绝使用,这些由于在工作上使用ICT而产生的负面情绪则被称为「科技压力(Technostress)」。
由于在组织当中,科技压力的问题越来越严重,因此,本研究欲对科技压力进行研究,而过去的文献已经有许多在探讨科技压力的来源、对员工与组织造成的影响,然而,对于「如何对抗科技压力」这个议题的研究,儘管过去文献中有谈到,也都是以单一观点来探讨,并无法有效的提供组织完整的建议与方针,因此,从全面的观点来探讨如何对抗科技压力是亟需的。因此,本研究主旨在从全面的角度对「如何对抗科技压力」这个议题进行探讨与研究,并且再次探讨科技压力的形成、来源与其对员工的影响。
本研究量测对象为在台湾工作且工作上会使用ICT的员工,本研究共蒐集了278份有效样本,并且,本研究採用实证研究方法,以十五个研究假设来验证研究模型,并且利用SmartPLS与SPSS软体来进行

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检验。研究结果发现,ICT特性当中,假性出勤与资讯超载会促使压力来源的产生。而压力来源会使员工产生压力反应,

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进而降低员工对组织与职业的承诺,最后可能导致员工离职与公司的损失。此外,本研究以三个观点来看对抗科技压力的机制,就组织工作设计观点来说,提升员工的工作自主权是最有效的对抗机制;就科技支援观点来说,提升员工的ICT素质是最有效的对抗机制;就非科技支援观点来说,提升员工使用ICT工作的自我效能,是最有效的对抗机制。
总而言之,有别于过去文献,本研究以全面的观点来探讨哪些机制可以用来对抗科技压力,本研究以许多科技压力相关文献为基础,更加深入的探讨科技压力的形成、来源、影响与对抗机制。期望藉由本研究,能提供后续研究一个良好的参考架构,并提供组织的管理者及员工良好、明确的指导方针与科技压力解决方法,使科技压力对组织、员工造成的损害降到最低。
【英文摘要】:Because of the prosperity of ICT (Information Communication Technology) usage and Mobile Computing in organizations, almost every organization adopted ICT to ac-complish works and operation. Besides, most of employees have smart phones, tablet computers and notebooks, which enable them to surf the Internet and use ICTs anytime. Therefore, the usage of ICTs bring about great changes to employees and organizations, not only some benefits but also some negative effects including anxiety, dissatisfaction, overload and even rejection toward using ICTs. These negative emotions due to use of ICTs at work are called “Technostress”.
Because technostress have become a more critical problem, we want to conduct a research on it. However, there are already some literatures discussing the sources of technostress and the effects bring to employees and organizations. Although there are some research discussing about “How to cope with technostress?”, they only view from single perspective that can’t provide complete suggestions for organizations to adopt. Therefore, our research focuses on discussing “How to cope with technostress” from comprehensive perspectives.
The subject of our survey is the employee who uses ICT at work in Taiwan. We have received 278 effective samples. In this research, we apply empirical survey meth-odology and propose 15 hypotheses to examine our research model. We use software SmartPLS and SPSS to examine our samples.
The research results indicate that presenteeism and information overload will acti-vate stressors. And, stressors will result in strain and further reduce employees’ organi-zation and career commitments. Besides, we view coping mechanisms from three per-spectives. From organizational work design perspective, improve decision latitude is most effectiv

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e way to cope with strain. From technical supports perspective, literacy fa-cilitation is the most effective way to cope with strain. And, from non- technical sup-ports perspective, enhancing employees’ self-efficacy toward using ICTs is the most ef-fective way to cope with strain.
Overall, distinct from prior literatures, our research discusses coping mechanisms from comprehensive perspectives. We take various related literatures as basis, research thoroughly into the formation, sources, effects and coping mechanisms of technostress. Hoping that our research will become a significant reference and provide organization and managers clear guidelines and solutions to cope with strain and further minimize the loss organization experience.
【参考文献】:

  • Ahmad, U., Amin, S., & Ismail, W. (2009). The impact of technostress on organizational commitment among Malaysian academic librarians. Singapore Journal of Library and Information Management, 38, 103-23.
  • Alge, B. J. (2001). Effects of computer surveillance on perceptions of privacy and pro-cedural justice. Journal of Applied Psychology, 86(4), 797-804.
  • Arnetz, B. B., & Wiholm, C. (1997). Technological stress: Psychophysiological symp-toms in modern offices. Journal of psychosomatic research, 43(1), 35-42.
  • Avolio, B. J., Zhu, W., Koh, W., & Bhatia, P. (2004). Transformational leadership and organizational commitment: Mediating role of psychological empowerment and moderating role of structural distance. Journal of organizational behavior, 25(8), 951-968.
  • Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831-858.
  • Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psy-chological review, 84(2), 191-215.
  • Bandura, A. (1986). Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, N.J. : Prentice-Hall.
  • Barbeite, F. G., & Weiss, E. M. (2004). Computer self-efficacy and anxiety scales for an Internet sample: Testing measurement equivalence of existing measures and de-velopment of new scales. Computers in Human Behavior, 20(1), 1-15.
  • Beehr, T. A., (1998). An Organizational Psychology Meta-Model of Occupational Stress. In Cooper, C. L. (Eds.), Theories of Organizational Stress (pp.6-27). New York: Oxford University Press.
  • Behson, S.J., Eddy, E.R., & Lorenzet, S.J. (2000). The importance of the critical psy-chological states in the job characteristics model: A meta-analytic and structural equations modeling examination. Current Research in Social Psychology, 5(12), 170–189.
  • Bollen, K., & Lennox, R. (1991). Conventional Wisdom on Measurement: A Structural Equation Perspective. Psychological Bulletin, 110(2), 305-314.
  • Brillhart, P. E. (2004). Technostress in the workplace: Managing stress in the electronic workplace. Journal of American Academy of Business, 5(1), 302-307.
  • Brod, C. (1984). Technostress: The human cost of the computer revolution. Reading, MA: Addison-Wesley.
  • Burke, M. S. (2009). The incidence of technological stress among baccalaureate nurse educators using technology during course preparation and delivery. Nurse educa-tion today, 29(1), 57-64.
  • Burke, R. J., & Cooper, C. L. (2000). The organization in crisis: Downsizing, restruc-turing, and privatization. Oxford, UK: Wiley-Blackwell.
  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105.
  • Caplan, G. (1974). Support systems and community mental health: Lectures on concept development. New York: Behavioral Publications.
  • Caro, D. H., & Sethi, A. S. (1985). Strategic management of technostress. Journal of medical systems, 9(5-6), 291-304.
  • Cartwright, S., & Cooper, C. L. (1997). Managing workplace stress. Thousand Oaks, CA: Sage Publications.
  • Chin, W.W. (1998). Issues and opinions on structural equation modeling, MIS Quarterly, 22(1), 7–16.
  • Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C., & Sun, P. C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399-416.
  • Clark, K., & Kalin, S. (1996). Technostressed Out? How to Cope in the Digital Age. Li-brary Journal, 121(13), 30-32.
  • Cohen, S., Gottlieb, B. H., & Underwood, L. G. (2001). Social relationships and health: Challenges for measurement and intervention. Advances in Mind-Body Medicine, 17(2), 129-41.
  • Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211.
  • Compeau, D., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly, 23(2), 145-158.
  • Cooper, C. L., Dewe, P. J., & O”Driscoll, M. P. (2001). Organizational stress: A review and critique of theory, research, and applications. Thousand Oaks: Sage Publica-tions.
  • Curtis, A. J. (2000). Health psychology. London: Routledge.
  • Cutrona, C. E., & Russell, D. W. (1990). Type of social support and specific stress: To-ward a theory of optimal matching. In Sarason, B. R., Sarason, I. G. & Pierce, G. R. (Eds.), Social Support: an Interactional View (pp. 319-366). New York: John Wiley.
  • Cutrona, C. E., & Suhr, J. A. (1992). Controllability of stressful events and satisfaction with spouse support behaviors. Communication Research, 19(2), 154-174.
  • Cutrona, C. E., & Troutman, B. R. (1986). Social support, infant temperament, and par-enting self-efficacy: A mediational model of postpartum depression. Child devel-opment, 57(6), 1507-18.
  • Darr, W., & Johns, G. (2008). Work strain, health, and absenteeism: a meta-analysis. Journal of occupational health psychology, 13(4), 293-318.
  • Demerouti, E., Le Blanc, P. M., Bakker, A. B., Schaufeli, W. B., & Hox, J. (2009). Pre-sent but sick: a three-wave study on job demands, presenteeism and burnout. Ca-reer Development International, 14(1), 50-68.
  • Dess, G. G., & Shaw, J. D. (2001). Voluntary turnover, social capital, and organizational performance. Academy of Management Review, 26(3), 446-456.
  • Dew, K., Keefe, V., & Small, K. (2005). ‘Choosing’to work when sick: workplace pres-enteeism. Social science & medicine, 60(10), 2273-82.
  • Eddy, E. R., Stone, D. L., & Stone‐romero, E. E. (1999). The effects of information management policies on reactions to human resource information systems: An in-tegration of privacy and procedural justice perspectives. Personnel Psychology, 52(2), 335-358.
  • Fisher, W., & Wesolkowski, S. (1999). The social and economic costs of technology re-sistance. IEEE Canadian Review, 31, 14-17.
  • Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing research, 19(4), 440-452.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unob-servable variables and measurement error. Journal of marketing research, 18(1), 39-50.
  • Gorry, G. A., & Morton, M. S. S. (1971). A framework for management information systems. Sloan Management Review, 13(1), 55-70.
  • Goulet, L. R., & Singh, P. (2002). Career commitment: a reexamination and an extension. Journal of vocational behavior, 61(1), 73-91.
  • House, J. S. (1981). Work stress and social support. Reading, MA: Addison-Wesley.
  • Hudiburg, R. A., & Necessary, J. R. (1996). Coping with computer-stress. Journal of Educational Computing Research, 15(2), 113-124.
  • Ivancevich, J. M., Napier, H. A., & Wetherbe, J. C. (1983). Occupational stress, attitudes, and health problems in the information systems professional. Communications of the ACM, 26(10), 800-806.
  • Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A Critical Review of Con-struct Indicators and Measurement Model Misspecification in Marketing and Con-sumer Research. Journal of Consumer Research, 30(2), 199-218.
  • Jex, S. M. (1998). Stress and job performance: Theory, research, and implications for managerial practice. Thousand Oaks, Calif. : Sage Publications.
  • Jex, S. M., & Beehr, T. A. (1991). Emerging theoretical and methodological issues in the study of work-related stress. Research in personnel and human resources management, 9(31), l-365.
  • Judge, T. A., Boudreau, J. W., & Bretz, R. D. (1994). Job and life attitudes of male ex-ecutives. Journal of Applied Psychology, 79(5), 767-82.
  • Kahn, R. L., & Byosiere, P. (1992). Stress in organizations. In Dunnette, M. D., & Hough, L. M. (Eds.), Handbook of Industrial and Organizational Psychology (pp. 571–650). Palo Alto, CA, US: Consulting Psychologists Press.
  • Karasek, R., & Theorell, T. (1992). Healthy work: stress, productivity, and the recon-struction of working life. New York: Basic books.
  • Kinman, G., & Jones, F. (2005). Lay representations of workplace stress: What do peo-ple really mean when they say they are stressed?. Work & Stress, 19(2), 101-120.
  • Kreiner, G. E. (2006). Consequences of work‐home segmentation or integration: a per-son‐environment fit perspective. Journal of Organizational Behavior, 27(4), 485-507.
  • Kumar, R., Lal, R., Bansal, Y., & Sharma, S. K. (2013). Technostress in Relation to Job Satisfaction and Organizational Commitment among IT Professionals. International Journal of Scientific and Research Publications, 3(12), 339.
  • Kuper, H., & Marmot, M. (2003). Job strain, job demands, decision latitude, and risk of coronary heart disease within the Whitehall II study. Journal of Epidemiology and Community Health, 57(2), 147-153.
  • Kupersmith, J. (2005). Library technostress survey results. Retrieved from http://www. jkup. net/stress-survey-2003. html.
  • Lawrence, S. A., Gardner, J., & Callan, V. J. (2007). The support appraisal for work stressors inventory: construction and initial validation. Journal of Vocational Be-havior, 70(1), 172-204.
  • Nasr, L. (2012). The relationship between the three components model of commitment, workplace stress and career path application to employees in medium size organi-zations in Lebanon. Journal of Organizational Culture, Communications and Con-flict, 16(1), 72-87.
  • Liu, Y., Lee, Y., & Chen, A. N. (2011). Evaluating the effects of task–individual–technology fit in multi-DSS models context: A two-phase view. Decision Support Systems, 51(3), 688-700.
  • Locke, E. A. (1976). The Nature and Causes of Job Satisfaction. In Dunnette, M. D. (Eds.), Hand book of industrial and organizational psychology (pp, 1297-1349). New York: Holt, Reinhart & Winston.
  • McDermott, D. (1984). Professional burnout and its relation to job characteristics, sat-isfaction, and control. Journal of Human Stress, 10(2), 79-85.
  • McGrath, J. E. (1971). Social and psychological factors in stress. Journal of Health and Social Behavior, 12(3), 265-267.
  • McGrath, J. E. (1976). Stress and behavior in organizations. In Dunnette, M. (Eds.), Handbook of Industrial Organizational Psychology (pp. 1351–1395). Chicago: Rand McNally Co., Inc.
  • Meyer, J. P., & Allen, N. J. (1991). A three-component conceptualization of organiza-tional commitment. Human resource management review, 1(1), 61-89.
  • Moore, J. E. (2000). One road to turnover: An examination of work exhaustion in tech-nology professionals. MIS Quarterly, 24(1), 141-168.
  • Nelson, D. L. (1990). Individual adjustment to information-driven technologies: a criti-cal review. MIS Quarterly, 14(1), 79-98.
  • Nelson, D. L., & Kletke, M. G. (1990). Individual adjustment during technological in-novation: A research framework. Behaviour & Information Technology, 9(4), 257-271.
  • Netemeyer, R. G., Boles, J. S., & McMurrian, R. (1996). Development and validation of work–family conflict and family–work conflict scales. Journal of applied psy-chology, 81(4), 400-409.
  • Nunnally, J.C. (1978). Psychometric Theory. New York: McGraw Hill.
  • O”Reilly, C. A. (1980). Individuals and information overload in organizations: is more necessarily better?. Academy of management journal, 23(4), 684-696.
  • Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623-656.
  • 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 rec-ommended remedies. Journal of Applied Psychology, 88(5), 879-903.
  • Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The conse-quences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417-433.
  • Shu, Q., Tu, Q., & Wang, K. (2011). The impact of computer self-efficacy and technol-ogy dependence on computer-related technostress: A social cognitive theory per-spective. International Journal of Human-Computer Interaction, 27(10), 923-939.
  • Smith, M. J., Carayon, P., Sanders, K. J., Lim, S. Y., & LeGrande, D. (1992). Employee stress and health complaints in jobs with and without electronic performance mon-itoring. Applied Ergonomics, 23(1), 17-27.
  • Tarafdar, M., Tu, Q., & Ragu-Nathan, T. S. (2010). Impact of technostress on end-user satisfaction and performance. Journal of Management Information Systems, 27(3), 303-334.
  • 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.
  • Tarafdar, M., Tu, Q., Ragu-Nathan, T. S., & Ragu-Nathan, B. S. (2011). Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress. Commu-nications of the ACM, 54(9), 113-120.
  • Taylor, S. E. (1999). Health psychology. New York: McGraw-Hill.
  • Thatcher, J. B., & Perrewe, P. L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly, 26(4), 381-396.
  • Thomée, S., Eklöf, M., Gustafsson, E., Nilsson, R., & Hagberg, M. (2007). Prevalence of perceived stress, symptoms of depression and sleep disturbances in relation to information and communication technology (ICT) use among young adults–an ex-plorative prospective study. Computers in Human Behavior, 23(3), 1300-1321.
  • Tu, Q., Wang, K., & Shu, Q. (2005). Computer-related technostress in China. Commu-nications of the ACM, 48(4), 77-81.
  • Wang, K., Shu, Q., & Tu, Q. (2008). Technostress under different organizational envi-ronments: An empirical investigation. Computers in Human Behavior, 24(6), 3002-3013.
  • Weil, M. M., & Rosen, L. D. (1997). Technostress: Coping with technology@ work@ home@ play. New York: Wiley.
  • Williams, S., & Cooper, C. L. (1998). Measuring occupational stress: development of the pressure management indicator. Journal of occupational health psychology, 3(4), 306.
  • 来源:中山大学;作者:许雅琳
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