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Investigating the impact of intranet resistance and intranet withdrawal in Malaysian maritime industry

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article investigates the impact of intranet resistance (i.e. co-workers affluence, negative prior experience, efficacy experience, poor systems design and loss of power) on manager’s performance, which indirectly influences intranet withdrawal in Malaysia maritime industry. The structural equation modeling (SEM) results indicate that all intranet resistance factors negatively influence managers’ performance and indirectly influence intranet withdrawal. This is probably the first work that investigate the impact of intranet resistance and withdrawal in Malaysia. The results provide insight on how the Malaysian maritime industry could improve their intranet adoption.
Rocznik
Tom
Strony
89--95
Opis fizyczny
Bibliogr. 30 poz., rys., tab.
Twórcy
  • Communities of Research-Humanities and Quality of Life/Arshad Ayub Graduate Business School Universiti Teknologi MARA,40450 Shah Alam, Selangor, MALAYSIA
  • Accounting Research Institute Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA
  • P.O. Box 2454 College of Business Administration King Saud University, Riyadh, 11451 SAUDI ARABIA
  • P.O. Box 2454 College of Business Administration King Saud University, Riyadh, 11451 SAUDI ARABIA
Bibliografia
  • 1. Al-Gahtani S.: Computer technology acceptance success factors in Saudi Arabia: an exploratory study. Journal of Global Information Technology Management, 7, 2004.
  • 2. Browne M.W. and Cudek R.: Alternative Ways of Assessing Model Fit. in Bollen, K.A., and Long, J.S. Testing Structural Equation Models, Newbury Park, CA, Sage, 1993.
  • 3. Bukhari R.H.: The relationship between system usage and user satisfaction: A meta-analysis. The Journal of Entrepreneurship Information Management, 18, 2005.
  • 4. Davis F.D., Bagozzi R.P. and Warshaw P.R.: User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 1989.
  • 5. DeLone W.H. and McLane E.R.: Information systems success: The quest for the dependent variable. Information System Research, 3, 1992.
  • 6. Dishaw M.T. and Strong D.M.: Assessing software maintenance tool utilisation using task-technology fit and fitness-for-use models. Journal of Software Maintenance Research & Practice, 10, 1998.
  • 7. Goodhue D.L. and Thompson R.L.: Task-Technology Fit and individual performance. MIS Quarterly, 19, 1995.
  • 8. Igbaria M.: End user computing effectiveness: A structural equation model. Omega International Journal of Management Science, 18, 1990.
  • 9. Joshi K.: A causal path model of the overall user attitudes towards the MIS Function: The case of user information satisfaction. Information & Management, 22, 1992.
  • 10. Joshi K.: Understanding user resistance and acceptance during the implementation of an order management system: A case study using the Equity Implementation Model. Information Technology Cases and Application Research, 7, 2005.
  • 11. Lawrence M. and Low G.: Exploring individual user satisfaction within user-led development. MIS Quarterly, 17, 1993.
  • 12. Leonard B.D.A. and Deschamps I.: Managerial influences in the implementation of new technology. Management Science, 34, 1988.
  • 13. Malhotra Y. and Galletta D.F.: Extending the technology acceptance model to account for social influence: Theoretical bases and empirical validation. Proceedings of the 32nd Hawaii International Conference on System Sciences, 6-19, Los Alamitos: IEEE Computer Society Press, 1999.
  • 14. Martinko M.J., Henry J.W. and Zmud R.W.: An attribute explanation of individual resistance to the introduction of information technologies in the workplace. Behaviour & Information Technology, 15, 1996.
  • 15. Markus M.L.: Power, politics and MIS implementation. Comm. of the ACM. 25 (6), 1993.
  • 16. Miles J.N.V.: Statistical software for microcomputer: AMOS 4.0. British Journal of Mathematic and Statistic Psychology, 53, 2000.
  • 17. Moore, G.C. and Benbasat I.: An empirical examination of a model of the factors affecting utilisation of information technology end users. Working paper, University of British Columbia, BC, Canada, 1992.
  • 18. Naveed S.: An empirical test of the contingency approach to user participation in information systems development. Journal of Management Information System, 13, 1996.
  • 19. Neumann S. and Segev E.: Evaluate your information system. Journal of Systems Management, 31, 1980.
  • 20. Norzaidi M.D., and Intan Salwani M.: Evaluating the post- Intranet usage: empirical study in Malaysian port industry. Australian Journal Basic and Applied Research, 5, 2011.
  • 21. Norzaidi M.D., Chong S.C. and Intan Salwani M.: Perceived Resistance, User Resistance and Managers’ Performance in the Malaysian port industry. Aslib Proceedings: New Inform. Perspectives, 60, 2008.
  • 22. Norzaidi M.D., Chong S.C. and Intan Salwani M.: Intranet usage, managerial satisfaction and performance impact: An empirical analysis. International Journal of Business Science Research, 3, 2009.
  • 23. Norzaidi M.D., Chong S.C., Intan Salwani M. and Binshan L.: The indirect effects of intranet functionalities on middle managers’ performance: evidence from the maritime industry. Kybernetes. 40(˝), 2011.
  • 24. Norzaidi M.D., Chong S.C., Murali R. and Intan Salwani M.: Intranet Usage and Managers’ Performance in the Port Industry. Industrial Management and Data System, 107, 2007.
  • 25. Nunnally J.C.: Psychometric Theory. McGraw Hill, New York, 1978.
  • 26. Segar A.H. and Grover V.: Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly, 17, 1993.
  • 27. Sekaran U.: Research Methods for Business. John Wiley and Son, New York, 2003.
  • 28. Sherwood G.: Denial managing the human element of technology. Journal of Property Management, 3, 2001.
  • 29. Tzu T.W. and Yin T.L.: Key factors for small and medium enterprises in Taiwan to successfully implement information systems. International Journal of Management and Enterprise Development, 2, 106-121, 2005.
  • 30. Ying L.E., Sheue-L.H. and Eric M.Y.W.: An integrated framework for continuous improvement on user satisfaction of information systems. Industrial Management & Data System, 106, 581-595, 2006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dc19f667-9816-4da7-a8eb-d58aabd97704
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