Journal of the Association for Information Systems, Vol. 11, No. 10, pp. 519-549, 2010
31 Pages Posted: 26 Dec 2011
Date Written: December 26, 2011
While technology adoption is a major stream of research in information systems, few studies have examined the antecedents and consequences of mandatory adoption of technologies. To address this gap, we develop and test a model of mandatory citizen adoption of an e-government technology. Based on a framework that outlines the key stages associated with the launch of technology products, we identify various external factors as antecedents of four key technology adoption variables from the unified theory of acceptance and use of technology (UTAUT), i.e., performance expectancy, effort expectancy, social influence, and facilitating conditions, which ultimately impact citizen satisfaction. The four stages of technology launch and the salient antecedents in each stage are: market preparation stage - awareness; targeting stage - compatibility and self-efficacy; positioning stage - flexibility and avoidance of personal interaction; and execution stage - trust, convenience, and assistance. We test our model in a two-stage survey of 1,179 Hong Kong citizens, before and after they were issued a mandatory smart card to access e-government services. We find that the various factors tied to the different stages in launching the technology predict key technology adoption variables that, in turn, predict citizen satisfaction with e-government technology. We discuss the theoretical and practical implications for governments implementing technologies whose use by citizens is mandated.
Keywords: technology adoption, mandatory adoption, electronic government, new product launch, citizen satisfaction, smart card, UTAUT
Suggested Citation: Suggested Citation
Chan, Frank K. Y. and Thong, James Y.L. and Venkatesh, Viswanath and Brown, Sue A. and Hu, Paul J. H. and Tam, Kar Yan, Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (December 26, 2011). Journal of the Association for Information Systems, Vol. 11, No. 10, pp. 519-549, 2010. Available at SSRN: https://ssrn.com/abstract=1976951