An Alternative Lens for Understanding Technology Acceptance: An Equity Comparison Perspective

被引:10
|
作者
Hess, Traci J. [1 ]
Joshi, Kailash [2 ]
McNab, Anna Lazarova [3 ]
机构
[1] Washington State Univ, Coll Business, Pullman, WA 99164 USA
[2] Univ Missouri, St Louis, MO 63121 USA
[3] Niagara Univ, New York, NY USA
关键词
justice; equity theory; equity implementation model (EIM); fairness; outcomes; inputs; technology adoption; acceptance; social comparison; discussion forum; resistance to change; COMMON METHOD VARIANCE; INFORMATION-TECHNOLOGY; OUTCOME FAVORABILITY; SELF-EFFICACY; PERCEIVED USEFULNESS; PROCEDURAL FAIRNESS; GENDER-DIFFERENCES; USER ACCEPTANCE; MODEL; PERCEPTIONS;
D O I
10.1080/10919391003712447
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Many studies of technology acceptance have noted that new technology can have far-reaching effects, dramatically changing the environment (e.g., work, home, school) in which we use the technology. The current research considers an equity comparison perspective on technology acceptance and usage in the context of online discussion tools based on the equity implementation model (EIM). The EIM applies equity theory to assess user net outcomes related to adopting new technology in comparison to the net outcomes of other technology stakeholders. Facilitating conditions with the new technology are investigated as a moderating factor on intentions and usage. Equity theory and social comparisons provide an alternative lens for understanding technology acceptance that may capture broader issues related to the changes resulting from new technology. This research describes what we believe to be a first effort to operationalize social comparisons of equity in the context of technology acceptance. A survey instrument measuring social comparisons of net outcomes is developed, and a longitudinal, empirical study is conducted in the context of online discussion forums. The research model is also investigated within a nomological network of technology acceptance constructs. The results indicate that the model provides explanatory power comparable to existing models of technology acceptance and that outcome comparisons provide unique insight beyond known determinants of intentions and usage.
引用
收藏
页码:123 / 154
页数:32
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