The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation

Published Online:https://doi.org/10.1287/isre.1070.0165

References

  • Abdul-Gader A. H., Kozar K. A. The impact of computer alienation on information technology investment decisions: An exploratory cross-national analysis. MIS Quart. (1995) 19:535–559CrossrefGoogle Scholar
  • Agarwal R., Prasad J. Are individual differences germane to the acceptance of new information technologies? Decision Sci. (1999) 30(2):361–391CrossrefGoogle Scholar
  • Ahuja M. K., Thatcher J. B. Moving beyond intentions and towards the theory of trying. MIS Quart. (2005) 29(3, September):427–459CrossrefGoogle Scholar
  • Allen N. J., Meyer J. P. The measurement and antecedents of affective, continuance, and normative commitment. J. Occupational Psych. (1990) 63:1–18CrossrefGoogle Scholar
  • Arnetz B. B., Wiholm C. Technological stress: Psychological symptoms in modern offices. J. Psychosomatic Res. (1997) 43(4):35–42CrossrefGoogle Scholar
  • Baroudi J. J. The impact of role variables on IS personnel work attitudes and intentions. MIS Quart. (1985) 9(4):341–356CrossrefGoogle Scholar
  • Baroudi J., Igbaria M. An examination of gender effects on career success of information systems employees. J. Management Inform. Systems (1994/1995) 11(3):181–201CrossrefGoogle Scholar
  • Beehr T., Cooper C. An organizational psychology meta-model of occupational stress. Theories of Organizational Stress (1998) (Oxford University Press, New York) 6–27Google Scholar
  • Bentler P. M., Bonnet D. G. Significance tests and goodness of fit in the analysis of covariance structures. Psych. Bull. (1980) 88:588–606CrossrefGoogle Scholar
  • Bollen K. A.Structural Equations with Latent Variables (1989) (Wiley, New York) CrossrefGoogle Scholar
  • Brillhart P. E. Technostress in the workplace: Managing stress in the electronic workplace. J. Amer. Acad. Bus. (2004) 5(1/2):302–307Google Scholar
  • Brod C.Technostress: The Human Cost of the Computer Revolution (1984) (Addison-Wesley, Reading, MA) Google Scholar
  • Brosnan M. J.Technophobia—The Psychological Impact of Information Technology (1998) (Routledge, London) CrossrefGoogle Scholar
  • Burke R. Organizational-level interventions to reduce occupational stressors. Work and Stress (1993) 7:77–87CrossrefGoogle Scholar
  • Burke R., Nelson D., Gowing M., Kraft J., Quick J. Mergers and acquisitions, downsizing and privatization: A North American perspective. The New Organizational Reality: Downsizing, Restructuring and Revitalization (1997) (American Psychological Association, Washington, D.C.) 21–54Google Scholar
  • Burton-Jones A., Hubona G. S. Individual differences and usage behavior: Revisiting a technology acceptance model assumption. DATABASE Adv. Inform. Systems (2005) 36(2):58–77CrossrefGoogle Scholar
  • Carayon P. Effect of electronic performance monitoring on job design and worker stress: Review of the literature and conceptual model. Human Factors (1993) 35(3):385–395CrossrefGoogle Scholar
  • Carayon P. A longitudinal model test of Karasek's Job Strain model among office workers. Work Stress (1994) 7(4):299–314CrossrefGoogle Scholar
  • Carayon-Sainfort P. The use of computers in offices: Impact on task characteristics and worker stress. Internat. J. Human Comput. Interaction (1992) 4(2):245–261CrossrefGoogle Scholar
  • Cartwright S., Cooper C.Managing Workplace Stress (1997) (Sage, Thousand Oaks, CA) Google Scholar
  • Cheloha R. S., Farr J. L. Absenteeism, job involvement and job satisfaction in an organizational setting. J. Appl. Psych. (1980) 65:467–473CrossrefGoogle Scholar
  • Cheney P. H., Scarpello V. Job satisfaction and information systems research. J. Management Inform. Systems (1985) 2(3):21–36CrossrefGoogle Scholar
  • Chin W. W., Gopal A., Salisbury W. D. Advancing the theory of adaptation structuration: The development of a scale to measure faithfulness of appropriation. Inform. Systems Res. (1997) 8(4):342–367LinkGoogle Scholar
  • Clark K., Kalin S. Technostressed out? How to cope in the digital age. Library Journal (1996) 21(8):30–32Google Scholar
  • Compeau D. R., Higgins C. A. Computer self-efficacy: Development of a measure and initial test. MIS Quart. (1995) 19:189–211CrossrefGoogle Scholar
  • Compeau D., Higgins C. A., Huff S. Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quart. (1999) 23:145–158CrossrefGoogle Scholar
  • Cooper C. L., Dewe P., O'Driscoll M. P.Organizational Stress: A Review and Critique of Theory, Research, and Applications (2001) (Sage, Thousand Oaks, CA) CrossrefGoogle Scholar
  • Corbett J. M. A psychological study of advanced manufacturing technology: The concept of coupling. Behav. Inform. Tech. (1987) 6(4):441–453CrossrefGoogle Scholar
  • Corbett J. M., Martin R., Wall T. D., Clegg C. W. Technological coupling as a predictor of intrinsic job satisfaction: A replication study. J. Organ. Behav. (1989) 10(1):91–95CrossrefGoogle Scholar
  • Davis A., Gibson L. Designing employee welfare provision. Personnel Rev. (1994) 23(7):33–45CrossrefGoogle Scholar
  • Dolan S., Tziner A. Implementing computer-based automation in the office: A study of experience stress. J. Organ. Behav. (1988) 9:183–187CrossrefGoogle Scholar
  • Edwards J. R. Multidimensional constructs in organizational behavior research: An integrative analytical framework. Organ. Res. Methods (2001) 4(2):144–192CrossrefGoogle Scholar
  • Fenlason L., Beehr T. Social support and occupational stress: Effects of talking to others. J. Organ. Behav. (1994) 15:157–175CrossrefGoogle Scholar
  • Fisher W., Wesolkowski S. Tempering technostress. IEEE Technology Soc. Magazine (1999) 18(1):28–42CrossrefGoogle Scholar
  • Gaudron J. P., Vignoli E. Assessing computer anxiety with the interaction model of anxiety: Development and validation of the computer anxiety trait subscale. Comput. Human Behav. (2002) 18:315–325CrossrefGoogle Scholar
  • Gefen D., Straub D. W. Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quart. (1997) 21(4):389–400CrossrefGoogle Scholar
  • Gellatly I. R., Meyer J. P., Luchak A. A. Combined effects of the three commitment components on focal and discretionary behaviors: A test of Meyer and Herscovitch's propositions. J. Vocational Behav. (2006) 69:331–345CrossrefGoogle Scholar
  • Glazer S., Beehr T. A. Consistency of implications of three role stressors across four countries. J. Organ. Behav. (2005) 26:467–487CrossrefGoogle Scholar
  • Hackman J. R., McGrath J. E. Tasks and task performance in research on stress. Social and Psychological Factors in Stress (1970) (Holt, Rinehart and Winston, Inc., New York) 202–237Google Scholar
  • Hadjistavropoulos H. D., Frombach I. K., Asmundson G. J. G. Exploratory and confirmatory factor analytic investigations of the Illness Attitudes Scale in a nonclinical sample. Behav. Res. Therapy (1999) 37:671–684CrossrefGoogle Scholar
  • Hair J. F., Anderson R. E., Tatham R. L., Black W.Multivariate Data Analysis with Readings (1998) 5th ed.(Prentice Hall, Upper Saddle River, NJ) Google Scholar
  • Heinssen R. K., Glass C. R., Knight L. A. Assessing computer anxiety: Development and validation of the computer anxiety rating scale. Comput. Human Behav. (1987) 3:49–59CrossrefGoogle Scholar
  • Herzberg F.Work and the Nature of Man (1966) (World Publishing, Cleveland) Google Scholar
  • Hudiburg R. A. Psychology of computer use: VII. Measuring technostress: Computer-related stress. Psych. Rep. (1989) 64:767–772CrossrefGoogle Scholar
  • Hudiberg R. A., Necessary J. R. Coping with computer stress. J. Educational Comput. Res. (1996) 15(2):113–124CrossrefGoogle Scholar
  • Igbaria M., Chakrabarti A. Computer anxiety and attitudes towards microcomputer use. Behav. Inform. Tech. (1990) 9(3):229–241CrossrefGoogle Scholar
  • Igbaria M., Guimaraes T. Antecedents and consequences of job satisfaction among information center employees. J. Management Inform. Systems (1993) 9(4):145–173CrossrefGoogle Scholar
  • Igbaria M., Parsuraman S. A path analytic study of individual characteristics, computer anxiety, and attitudes towards microcomputers. J. Management (1989) 15(3):373–388CrossrefGoogle Scholar
  • Igbaria M., Siegel S. R. The reasons for turnover of information systems personnel. Inform. Management (1992) 23(6):321–330CrossrefGoogle Scholar
  • Ivancevich J. M., Matteson M. T.Stress and Work (1980) (Scott, Foresman, Glenview, IL) Google Scholar
  • Ivancevich J. M., Napier H. A., Wetherbe J. C. An empirical study of occupational stress, attitudes, and health among information systems personnel. Inform. Management (1985) 9:77–85CrossrefGoogle Scholar
  • Jackson S., Schuler R. A meta-analysis and conceptual critique of research on role ambiguity and role conflict in work settings. Organ. Behav. Human Decision Processes (1985) 36:16–78CrossrefGoogle Scholar
  • Jarvis C. B., Mackenzie S. B., Podsakoff P. M., Mick D. G., Bearden W. O. A critical review of construct indicators and measurement model misspecification in marketing and consumer research. J. Consumer Res. (2003) 30(2):199–218CrossrefGoogle Scholar
  • Jex S. M., Beehr T. A. Emerging theoretical and methodological issues in the study of work-related stress. Res. Personnel and Human Resources Management (1991) 9:311–365Google Scholar
  • Jimmieson N., Terry D. The role of informational control in the stress strain relationship. 13th Annual Conf. Soc. Indust. Organ. Psych. (1998) Dallas TexasGoogle Scholar
  • Kahn R., Byosiere P., Dunnette M., Hough L. Stress in organizations. Handbook of Industrial and Organizational Psychology (1992) (Consulting Psychologists Press, Palo Alto, CA) 571–650Google Scholar
  • Kahn R., Wolfe D. M., Quinn R. P., Snoek J. D.Organizational Stress: Studies in Role Conflict and Ambiguity (1981) (Krieger, Malabar, FL) Google Scholar
  • Karasek R. Job demands, job decision latitude and mental strain: Implications for job redesign. Admin. Sci. Quart. (1979) 24:285–308CrossrefGoogle Scholar
  • Korunka C., Weiss A., Karetta B. Effects of new technologies with special regard for the implementation process per se. J. Organ. Behav. (1993) 14:331–348CrossrefGoogle Scholar
  • Kupersmith J. Technostress and the reference librarian. Reference Services Rev. (1992) 20(2):7–14CrossrefGoogle Scholar
  • Landsbergis P. A., Schnall P. L., Schwartz J. E., Warren K., Pickering T. G., Sauter S. L., Murphy L. R. Job strain, hypertension, and cardiovascular disease: Empirical evidence, methodological issues, and recommendations for future research. Organizational Risk Factors for Job Stress (1995) (American Psychological Association, Washington, D.C.) 97–112CrossrefGoogle Scholar
  • Law K. S., Wong C. S. Multidimensional constructs in structural equation analysis: An illustration using the job perception and job satisfaction constructs. J. Management (1999) 25(2):143–160CrossrefGoogle Scholar
  • Law K. S., Wong C. S., Mobley W. H. Towards a taxonomy of multidimensional constructs. Acad. Management Rev. (1998) 23(4):741–755CrossrefGoogle Scholar
  • Lazarus R. S.Psychological Stress and the Coping Process (1966) (McGraw-Hill, New York) Google Scholar
  • Lazarus R. S., Folkman S.Stress, Appraisal, and Coping (1984) (Springer, New York) Google Scholar
  • Lee A. S., Baskerville R. L. Generalizing generalizability in information systems research. Inform. Systems Res. (2003) 14(3):221–243LinkGoogle Scholar
  • Locke E. A. Satisfiers and dissatisfiers among white collar and blue collar employees. J. Appl. Psych. (1973) 58:67–76CrossrefGoogle Scholar
  • Locke E. A., Dunnette M. D. The nature and causes of job satisfaction. Handbook of Industrial and Organizational Psychology (1976) (Rand-McNally, Chicago) 1297–1350Google Scholar
  • Love J. H., Simpson D. R. F., Walker J. The impact of new technology on labor flexibility and working practices: A management perspective. J. General Management (1989) 14(3):13–25Google Scholar
  • Malhotra N. K., Kim S. S., Patil A. Common method variance in IS research: A comparison of alternative approaches and reanalysis of past research. Management Sci. (2006) 52(12):1865–1883LinkGoogle Scholar
  • Mandel M. The real reasons you're working so hard. Business Week (2005) Oct. 3):60–67Google Scholar
  • Marsh H. W., Hocevar D. Application of confirmatory factor analysis to the study of self-concept: First- and higher-order factor models and their invariance across groups. Psych. Bull. (1985) 97(33):562–582CrossrefGoogle Scholar
  • McGrath J. E.Social and Psychological Factors in Stress (1970) (Holt, Rinehart and Winston, Inc., New York) Google Scholar
  • McGrath J. E., Dunnette M. D. Stress and behavior in organizations. Handbook of Industrial and Organizational Psychology (1976) (Rand-McNally, Chicago) 1351–1395Google Scholar
  • McKeen J. D., Guimaraes T., Wetherbe J. C. The relationship between user participation and user satisfaction: An investigation of four contingency factors. MIS Quart. (1994) 18(4):427–451CrossrefGoogle Scholar
  • Meyer J. P., Allen N. J. A three-component conceptualization of organizational commitment. Human Resource Management Rev. (1991) 1(1):61–89CrossrefGoogle Scholar
  • Meyer J. P., Allen N. J.Commitment in the Workplace: Research, Theory and Applications (1997) (Sage Publications, Thousand Oaks, CA) Google Scholar
  • Morris M. G., Venkatesh V., Ackerman P. L. Gender and age differences in employee decisions about new technology: An extension to the theory of planned behavior. IEEE Trans. Engrg. Management (2005) 52(1, February):69–95CrossrefGoogle Scholar
  • Mowday R. T., Porter L. W., Steers R. M.Employee-Origination Linkages: The Psychology of Commitment, Absenteeism and Turnover (1982) (Academic Press, New York) Google Scholar
  • Nelson D. L. Individual adjustment to information-driven technologies: A critical review. MIS Quart. (1990) 14(1):79–98CrossrefGoogle Scholar
  • Nelson D. L., Kletke M. G. Individual adjustment during technological innovation: A research framework. Behav. Inform. Tech. (1990) 9(4):257–271CrossrefGoogle Scholar
  • Nunnally J. C.Psychometric Theory (1978) (McGraw-Hill, New York) Google Scholar
  • O'Driscoll M., Beehr T. Moderating effects of perceived control and need for clarity on the relationship between role stressors and employee affective reactions. J. Soc. Psych. (2000) 140:91–113CrossrefGoogle Scholar
  • Parsons C. K., Linden R. C., O'Connor E. J., Hagao D. H. Employee responses to technologically-driven change: The implementation of office automation in a service organization. Human Relations (1991) 44(12):1331–1356CrossrefGoogle Scholar
  • Rabinowitz S., Hall D. T. Organizational research on job involvement. Psych. Bull. (1977) 84:265–288CrossrefGoogle Scholar
  • Rizzo J. R., House R. J., Lirtzman S. I. Role conflict and ambiguity in complex organizations. Admin. Sci. Quart. (1970) 15:150–163CrossrefGoogle Scholar
  • Rosen L. D., Maguire P. D. Myths and realities in computerphobia: A meta-analysis. Anxiety Res. (1990) 3:175–191CrossrefGoogle Scholar
  • Rosen L. D., Sears D. C., Weil M. M. Treating technophobia: A longitudinal evaluation of the computerphobia reduction program. Comput. Human Behav. (1987) 9:27–50CrossrefGoogle Scholar
  • Sainfort P. A. Job design predictors of stress in automated offices. Behav. Inform. Tech. (1990) 9(1):3–16CrossrefGoogle Scholar
  • Salisbury W. D., Chin W. W., Gopal A., Newsted P. R. Research report: Better theory through measurement—Developing a scale to capture consensus on appropriation. Inform. Systems Res. (2002) 13(1):91–103LinkGoogle Scholar
  • Sethi V., Barrier T., King R. C. An examination of the correlates of burnout in information systems professionals. Inform. Resources Management J. (1999) 12(3):5–13CrossrefGoogle Scholar
  • Sethi V., King R., Quick J. What causes stress in information system professionals. Comm. ACM (2004) 47(3):99–102CrossrefGoogle Scholar
  • Sharma S., Durand R. M., Gur-Arie O. Identification and analysis of moderator variables. J. Marketing Res. (1981) 18(3):291–300CrossrefGoogle Scholar
  • Smith M. J., Salvendy G. Work with computers: Organizational, management, stress and health aspects. Proc. 3rd Internat. Conf. Human-Comput. Interaction (1989) Boston(Elsevier, New York) Google Scholar
  • Smith M. J., Cohen B. G. F., Stammerjohn L. W. An investigation of health complaints and job stress in video display operations. Human Factors (1981) 23(4):387–400CrossrefGoogle Scholar
  • Snape E., Redman T. An evaluation of a three-component model of occupational commitment: Dimensionality and consequences among United Kingdom human resource management specialists. J. Appl. Psych. (2003) 88(1):152–159CrossrefGoogle Scholar
  • Spector P. E. Measurement of human service staff satisfaction: Development of the job satisfaction survey. Amer. J. Community Psych. (1985) 13(6):693–713CrossrefGoogle Scholar
  • Taylor S., Todd P. A. Understanding information technology usage: A test of competing models. Inform. Systems Res. (1995) 6:144–176LinkGoogle Scholar
  • Thong J. Y. L., Yap C. S. Information systems and occupational stress: A theoretical framework. Omega (2000) 28(6):681–692CrossrefGoogle Scholar
  • Turner J. A., Karasek R. Software ergonomics: Effects of computer application design parameters on operator task performance and health. Ergonomics (1984) 27:663–690CrossrefGoogle Scholar
  • Van der Doef M., Maes S. The job demand-control (-support) model and psychological well-being: A review of 20 years of empirical research. Work Stress (1999) 13(2, April):87–114CrossrefGoogle Scholar
  • Vassend O., Skrondal A. Validation of the NEO personality inventory and the three-factor model. Can findings from exploratory and confirmatory factor analysis be reconciled? Eur. J. Personality (1997) 11:147–166CrossrefGoogle Scholar
  • Venkatesh V., Morris M. G. Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quart. (2000) 24(1):115–139CrossrefGoogle Scholar
  • Wall T. D., Jackson R. R., Mullarkey S., Parker S. K. The demands-control model of job strain: A more specific test. J. Occupational Organ. Psych. (1996) 69(2):153–166CrossrefGoogle Scholar
  • Wastell D. G., Newman N. The behavioral dynamics of information system development: A stress perspective. Accounting Management Inform. Tech. (1993) 3:121–148CrossrefGoogle Scholar
  • Weil M. M., Rosen L. D. The psychological impact of technology from a global perspective: A study of technological sophistication and technophobia in university students from twenty-three countries. Comput. Human Behav. (1994) 11:95–133CrossrefGoogle Scholar
  • Weil M. M., Rosen L. D.TechnoStress: Coping with Technology @Work @Home @Play (1997) (J. Wiley, New York) Google Scholar
  • Weil M. M., Rosen L. D. Don't let technology enslave you: Learn how technostress can affect the habits of your employees and yourself. Workforce (1999) 78(2):56–59Google Scholar
  • Whitley B. E. Gender differences in computer-related attitudes and behavior: A meta-analysis. Comput. Human Behav. (1997) 13(1):1–22CrossrefGoogle Scholar
  • Yaverbaum G. J. Critical factors in the user environment: An experimental study of users, organizations, and tasks. MIS Quart. (1988) 12(1):75–88CrossrefGoogle Scholar
  • Zorn T. E. The emotionality of information and communication technology implementation. J. Comm. Management (2002) 7(2):160–171CrossrefGoogle Scholar
  • Zuboff S.In the Age of the Smart Machine: The Future of Work and Power (1988) (Basic Books, New York) Google Scholar
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