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

• Published in: Journal of organizational computing and electronic commerce Vol. 20; no. 2; pp. 123 - 154
• Main Authors: Hess, Traci J., Joshi, Kailash, McNab, Anna Lazarova
• Format: Journal Article
• Language: English
• Published: Mahwah Taylor & Francis Group 30.04.2010; Lawrence Erlbaum Associates, Inc
• Subjects: acceptance; Comparative analysis; discussion forum; resistance to change; Equity; equity implementation model (EIM); equity theory; fairness; inputs; justice; outcomes; social comparison; Studies; Technology adoption; User behavior
• ISSN: 1091-9392; 1532-7744
• DOI: 10.1080/10919391003712447

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.