622
Views
4
CrossRef citations to date
0
Altmetric
Articles

User Resistance to Information System Implementations: A Dual-Mode Processing Perspective

&

References

  • Ajzen, I. (1985). From intentions to actions: A theory of planned behaviour. In J. Kuhl & J. Beckmann (Eds.), Springer series in social psychology (pp. 11–39). Berlin, Germany: Springer.
  • Akpinar, Y., & Bayramoglu, Y. (2008). Promoting teachers. Positive attitude towards web use: A study in web site development. The Turkish Online Journal of Educational Technology, 7(3), 46–55.
  • Allen, D. K., Brown, A., Karanasios, S., & Norman, A. (2013). How should technology-mediated organizational change be explained? A comparison of the contributions of critical realism and activity theory. MIS Quarterly, 37(3), 835–854.
  • Alsajjan, B., & Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of Business Research, 63, 957–963. doi:10.1016/j.jbusres.2008.12.014
  • Angst, C. M., & Agarwal, R. (2004, December). Central and peripheral routes to sustained technology usage ( Paper 4). DIGIT 2004 Proceedings, Washington DC.
  • Bajaj, A., & Nidumolu, S. R. A. (1998). Feedback model to understand information system usage. Information and Management, 33, 213–224. doi:10.1016/S0378-7206(98)00026-3
  • Bandura, A. (1977). Social Learning Theory. Englewood Cliffs, NJ: Prentice Hall.
  • Batson, C. D. (1975). Rational processing or rationalization? The effect of disconfirming information on a stated religious belief. Journal of Personality and Social Psychology, 32, 176–184. doi:10.1037/h0076771
  • Bazerman, M. H. (2006). Judgment in managerial decision making. New York, NY: Wiley.
  • Beaudry, A., & Pinsonneault, A. (2005). Understanding user responses to information technology: A coping model of user adaptation. MIS Quarterly, 29(3), 493–524.
  • Bhattacherjee, A. (2001). Understanding information systems continuance. An expectation–confirmation model. MIS Quarterly, 26(3), 351–370. doi:10.2307/3250921
  • Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An Elaboration Likelihood Model. MIS Quarterly, 30(4), 805–826.
  • Boakye, K. G., Ryan, S. D., & Prybutok, V. R. (2012). The intention of continued web-enabled phone service usage: A quality perspective. Operations Management Research, 5(1–2), 14–24. doi:10.1007/s12063-012-0062-1
  • Brock, T. C., & Balloun, J. C. (1967). Behavioral receptivity to dissonant information. Journal of Personality and Social Psychology, 6, 413–428. doi:10.1037/h0021225
  • Burris, C. T., Harmon-Jones, E., & Tarpley, W. R. (1997). By faith alone: Religious agitation and cognitive dissonance. Basic and Applied Social Psychology, 19, 17–31.
  • Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 212–262). New York, NY: Guilford.
  • Coklin, A. (2006). Computer security behaviors of home PC users: A diffusion of innovation approach ( Ph.D. thesis). University of Texas at San Antonio, San Antonio, TX.
  • Cooke, D. P., & Peterson, W. J. (1998). SAP implementation: Strategies and Results (Report No. 1217-98-RR). New York, NY: The Conference Board.
  • Crilly, N., Blackwell, A. F., & Clarkson, P. J. (2006). Graphic elicitation: Using research diagrams as interview stimuli. Qualitative Research, 6(3), 341–366. doi:10.1177/1468794106065007
  • Czarniawska, B. (1998). A narrative approach to organization studies. Thousand Oaks, CA: Sage Publications.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi:10.2307/249008
  • Donat, E., Brandtweiner, R., & Kerschbaum, J. (2009). Attitudes and the digital divide: attitude measurement as instrument to predict internet usage. Informing Science: the International Journal of an Emerging Transdiscipline, 12, 37–56.
  • Ferneley, E. H., & Sobreperez, P. (2006). Resist, comply or workaround? An examination of different facets of user engagement with information systems. European Journal of Information Systems, 15, 345–356. doi:10.1057/palgrave.ejis.3000629
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. London, UK: Addison-Wesley Publishing Company.
  • Fitzgerald, G., & Russo, N. (2005). The turnaround of the London Ambulance Service Computer-Aided Despatch system (LASCAD). European Journal of Information Systems, 14, 244–257. doi:10.1057/palgrave.ejis.3000541
  • Frey, D. (1986). Recent research on selective exposure to information. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 19, pp. 41–80). New York, NY: Academic Press.
  • Germain, M. (2006). Stages of scale development and validation: The example of the generalized expertise measure (GEM). Columbus, OH: Academy of Human Resource Development.
  • Germain, M., & Ruiz, C. E. (2009). Expertise: Myth or reality of a cross-national definition? Journal of European Industrial Training, 33(7), 614–634. doi:10.1108/03090590910985381
  • Gobet, F., & Campitelli, G. (2007). The role of domain-specific practice, handedness and starting age in chess. Developmental Psychology, 43, 159–172. doi:10.1037/0012-1649.43.1.159
  • Goldfinch, S. (2007). Pessimism computer failure and information systems development in the public sector. Public Administration Review, 67(5), 917–929. doi:10.1111/puar.2007.67.issue-5
  • Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. doi:10.1177/1525822X05279903
  • Hee-Woong, K., Hock, C. C., & Yee, P. C. (2007). A balanced thinking-feelings model of information systems continuance. International Journal of Human-Computer Studies, 65(6), 511–526. doi:10.1016/j.ijhcs.2006.11.009
  • Hee-Woong, K., & Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. Management Information Systems Quarterly, 33(3), 567–582.
  • Hirschheim, R., & Newman, M. (1988). information systems and user resistance. The Computer Journal, 31(5), 398–408. doi:10.1093/comjnl/31.5.398
  • Hoffman, R. R., Shadbolt, N. R., Burton, A. M., & Klein, G. (1995). Eliciting knowledge from experts: A methodological analysis. Organizational Behavior and Human Decision Processes, 62(2), 129–158. doi:10.1006/obhd.1995.1039
  • Johnson, J. (1995). Chaos: The dollar drain of IT project failures. Application Development Trends, 2(1), 41–47.
  • Jones, R. A., Jimmieson, N. L., & Griffiths, A. (2005). The impact of organizational culture and reshaping capabilities on change implementation success: The mediating role of readiness for change. Journal of Management Studies, 42(2), 361–386. doi:10.1111/joms.2005.42.issue-2
  • Kelman, H. C. (1958). Compliance, identification and internalization three processes of attitude change. Journal of Conflict Resolution, 2(1), 51–60. doi:10.1177/002200275800200106
  • Kidd, A. L. (1987). Knowledge acquisition for expert systems: A practical handbook. New York, NY: Plenum Press.
  • Kim, H. W., & Pan, S. L. (2006). Towards a process model of information systems implementation: The case of customer relationship management (CRM). Data Base for Advances in Information Systems, 37(1), 59–76. doi:10.1145/1120501.1120506
  • Kim, Y., Chun, J., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. International Journal of Information Management, 29(1), 67–77. doi:10.1016/j.ijinfomgt.2008.01.011
  • King, W. R., & He, J. (2006). A meta-analysis of the Technology Acceptance Model. Information and Management, 43(6), 740–755. doi:10.1016/j.im.2006.05.003
  • Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Englewood Cliffs, NJ: Prentice Hall.
  • Lapointe, L., & Rivard, S. (2005). A multilevel model of resistance to information technology implementation. MIS Quarterly, 29, 461–491.
  • Laumer, S., & Eckhardt, A. (2012). Why do people reject technologies: A review of user resistance theories. In Y. K. Dwivedi, M. R. Wade, & S. L. Schneberger (Eds.), Information systems theory—explaining and predicting our digital society (Vol. 1, pp. 63–86). Series: Integrated Series in Information Systems. New York, NY: Springer.
  • Lee, W. (2008). A longitudinal analysis of changing beliefs on the use in IT educatee by Elaboration Likelihood Model. Asia Pacific Journal of Information Systems, 18(1), 147–165.
  • Lee, W. (2011). An Elaboration Likelihood Model based longitudinal analysis of attitude change during the process of IT acceptance via education program. Behaviour & Information Technology, 31(12), 1–11.
  • Lifton, R. J. (1961). Thought reform and the psychology of totalism: A study of “brainwashing” in China. London, UK: W. W. Norton and Company.
  • Lyytinen, K., & Hirscheim, R. (1987). Information systems failures: A survey and classification of the empirical literature. Oxford Surveys in Information Technology, 4, 257–309.
  • Mak, B., Schmitt, B. H., & Lyytinen, K. (1997). User participation in knowledge update of expert systems. Information and Management, 32(2), 55–63. doi:10.1016/S0378-7206(96)00010-9
  • Malhotra, Y., & Galletta, D. F. (1999, January). Extending the Technology Acceptance Model to account for social influence: Theoretical bases and empirical validation. Proceedings of the IEEE Computer Society 32nd Annual Hawaii International Conference on System Sciences, Vol. 1, Washington, DC.
  • Matier, P., & Ross, A. (2013, October 2). Computer system dropped after $500 million spent. SFGate. Retrieved March 19, 2016, from http://www.sfgate.com
  • Moon, J., & Kim, Y. (2001). Extending the TAM for a World-Wide-Web context. Information and Management, 38(4), 217–230. doi:10.1016/S0378-7206(00)00061-6
  • Nelson, D. L., Reed, U. S., & Walling, J. R. (1976). Pictorial superiority effect. Journal of Experimental Psychology: Human Learning and Memory, 2, 523–528.
  • Nolon, S. F. (2011). Negotiating the wind: A framework to engage citizens in siting wind turbines. Cardozo Journal of Conflict Negotiation, 12(2), 327–371.
  • Onwuegbuzie, A. J., & Leech, N. L. (2007). A call for qualitative power analyses. Quality and Quantity. International Journal of Methodology, 41, 105–121.
  • Paivio, A. (1971). Imagery and verbal processes. New York, NY: Holt, Rinehart and Winston.
  • Paivio, A. (1986). Mental representations: A dual-coding approach. New York, NY: Oxford University Press.
  • Petty, R. E., & Cacioppo, J. T. (1986). Communication and persuasion: Central and peripheral routes to attitude change. New York, NY: Springer-Verlag New York.
  • Petty, R. E., & Wegener, D. T. (1998). Attitude change: Multiple roles for persuasion variables. In D. Gilbert, S. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (4th ed., pp. 323–390). New York, NY: McGraw-Hill.
  • Read, S. J., Vanman, E. J., & Miller, L. C. (1997). Connectionism, parallel constraint satisfaction processes and gestalt principles: (Re)introducing cognitive dynamics to social psychology. Personality and Social Psychology Review, 1, 26–53. doi:10.1207/pspr.1997.1.issue-1
  • Rosenburg, M., Hovland, C., McGuire, W., Abelson, R., & Brehm, J. (1960). Attitude organization and change. New Haven, CT and London, UK: Yale University Press.
  • Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: An extension of the Technology Acceptance Model. Information and Management, 42(2), 317–327. doi:10.1016/j.im.2003.12.013
  • Schepers, J., & Wetzels, M. (2007). A meta-analysis of the Technology Acceptance Model: Investigating subjective norm and moderation effects. Information and Management, 44(1), 90–103. doi:10.1016/j.im.2006.10.007
  • Selander, L., & Henfridsson, O. (2012). Cynicism as user resistance in IT implementation. Information Systems Journal, 22, 289–312. doi:10.1111/isj.2012.22.issue-4
  • Shumarova, E., & Swatman, P. A. (2006, June). Diffusion of socially pervasive IT innovation through the lens of cognitive elaboration and perceived behavioural control. Paper presented at the CollECTeR Europe Conference—Collaborative Business, Basel, Switzerland.
  • Shumarova, E., & Swatman, P. A. (2007). eValue & value-driven user responses to information technology. Electronic Markets, 17(1), 5–19. doi:10.1080/10196780601136708
  • Standish Group. (2009). CHAOS summary 2009. The 10 laws of Chaos. Retrieved from www.portal.state.pa.us/portal/server.pt/document/standish_group_chaos_summary_2009_pdf
  • Stanwick, P. A. (1996). Mental imagery: An alternative to top management team replacement for declining organizations. Journal of Organizational Change Management, 9(2), 47–65. doi:10.1108/09534819610113739
  • Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14, 47–65. doi:10.1287/isre.14.1.47.14767
  • Törrönen, J. (2002). Semiotic theory on qualitative interviewing using stimulus texts. Qualitative Research, 2, 343–362. doi:10.1177/146879410200200304
  • Umoquit, M. J., Dobrow, M. J., Lemieux-Charles, L., Ritvo, P. G., Urbach, D. R., & Wodchis, W. P. (2008). The efficiency and effectiveness of utilizing diagrams in interviews: An assessment of participatory diagramming and graphic elicitation. BMC Medical Research Methodology, 8(1), 53. doi:10.1186/1471-2288-8-53
  • Venkatesh, V., & Davis, F. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. doi:10.1287/mnsc.46.2.186.11926
  • Venkatesh, V., Morris, M. G., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 426–478.
  • Wood, W. (2000). Attitude change: Persuasion and social. Annual Review of Psychology, 51, 539–570. doi:10.1146/annurev.psych.51.1.539
  • Wright, O. (2011, August 2). NHS pulls the plug on its £11bn IT system. The Independent. Retrieved March 19 2016 from The Independent website http://www.independent.co.uk
  • Zhang, P., & Sun, H. (2009). The complexity of different types of attitude in initial and continued ICT use. Journal of American Society for Information Science and Technology (JASIST), 60(10), 2048–2063. doi:10.1002/asi.21116

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.