Author List: Kim, Hee-Woong; Kankanhalli, Atreyi;
MIS Quarterly, 2009, Volume 33, Issue 3, Page 567-582.
User resistance to information systems implementation has been identified as a salient reason for the failure of new systems and hence needs to be understood and managed. While previous research has explored the reasons for user resistance, there are gaps in our understanding of how users evaluate change related to a new information system and decide to resist it. In particular, missing in the explanation of user decision making is the concept of status quo bias, that is, that user resistance can be due to the bias or preference to stay with the current situation. Motivated thus, this study develops a model to explain user resistance prior to a new IS implementation by integrating the technology acceptance and resistance literatures with the status quo bias perspective. The results of testing the model in the context of a new enterprise system implementation indicate the central role of switching costs in increasing user resistance. Further, switching costs also mediate the relationship between other antecedents (colleague opinion and self-efficacy for change) and user resistance. Additionally, perceived value and organizational support for change are found to reduce user resistance. This research advances the theoretical understanding of user acceptance and resistance prior to a new IS implementation and offers organizations suggestions for managing such resistance.
Keywords: IS implementation; status quo bias theory; user resistance
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#284 0.342 users user new resistance likely benefits potential perspective status actual behavior recognition propose user's social associated existing base using acceptance
#185 0.167 change organizational implementation case study changes management organizations technology organization analysis successful success equilibrium radical efforts initiatives managing resistance individuals
#108 0.139 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#292 0.091 information research literature systems framework review paper theoretical based potential future implications practice discussed current concept propositions findings provided extant
#183 0.073 explanations explanation bias use kbs biases facilities cognitive making judgment decisions likely decision important prior judgments feedback types difficult lead