INVESTIGATING USER RESISTANCE TO INFORMATION SYSTEMS IMPLEMENTATION: A STATUS QUO BIAS PERSPECTIVE

被引:100
作者
Kim, Hee-Woong [1 ,2 ]
Kankanhalli, Atreyi [2 ]
机构
[1] Yonsei Univ, Grad Sch Informat, Seoul 120749, South Korea
[2] Natl Univ Singapore, Dept Informat Syst, Singapore 117543, Singapore
关键词
User resistance; IS implementation; status quo bias theory; MEASURING SWITCHING COSTS; TECHNOLOGY; MODEL; ACCEPTANCE; DETERMINANTS; EXTENSION; ADOPTION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
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.
引用
收藏
页码:567 / 582
页数:16
相关论文
共 47 条
[1]
Agarwal Ritu., 2000, Framing the Domains of IT Management Research, P85
[3]
THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[4]
Bandura A., 1995, SELF EFFICACY CHANGI, DOI [10.1017/CBO9780511527692, DOI 10.1017/CBO9780511527692]
[5]
Understanding user responses to information technology: A coping model of user adaptation [J].
Beaudry, A ;
Pinsonneault, A .
MIS QUARTERLY, 2005, 29 (03) :493-524
[6]
Bovey W.H., 2001, J MANAGE PSYCHOL, V16, P534, DOI DOI 10.1108/EUM0000000006166
[7]
Brown SA, 2005, MIS QUART, V29, P399
[8]
INFORMATIONAL AND NORMATIVE SOCIAL INFLUENCE IN BUYER BEHAVIOR [J].
BURNKRANT, RE ;
COUSINEAU, A .
JOURNAL OF CONSUMER RESEARCH, 1975, 2 (03) :206-215
[9]
Measuring switching costs and the determinants of customer retention in Internet-enabled businesses: A study of the Online brokerage industry [J].
Chen, PY ;
Hitt, LM .
INFORMATION SYSTEMS RESEARCH, 2002, 13 (03) :255-274
[10]
Social cognitive theory and individual reactions to computing technology: A longitudinal study [J].
Compeau, D ;
Higgins, CA ;
Huff, S .
MIS QUARTERLY, 1999, 23 (02) :145-158