Dr. Yogesh K. Dwivedi is a Professor of Digital and Social Media, Director of the Emerging Markets Research Centre (EMaRC), and Director of Research in the School of Management at Swansea University, Wales, UK. His research interests are in the area of Information Systems (IS) including the adoption and diffusion of emerging ICTs and digital and social media marketing particularly in the context of emerging markets. He has published more than 250 articles in a range of leading academic journals and conferences. He has co-edited/co-authored more than 20 books on technology adoption, e-government, IS theory, eWOM and social media and had them published by international publishers such as, Chandos Publishing (an imprint of Elsevier), Springer, Chapman and Hall/CRC Press, Routledge, and Emerald. He acted as co-editor of fifteen journal special issues; organised tracks, mini-tracks and panels in leading conferences; and served as programme co-chair of 2013 IFIP WG 8.6 Conference on Grand Successes and Failures in IT: Public and Private Sectors and Conference Chair of IFIP WG 6.11 I3E2016 Conference on Social Media: The Good, the Bad, and the Ugly. He is Associate Editor of European Journal of Marketing and Government Information Quarterly and Senior Editor of Journal of Electronic Commerce Research. More information is available here.
Sluggish adoption of emerging electronic government (eGov) applications continues to be a problem across developed and developing countries. In eGov, a large variety of technology adoption models are employed, which make researchers and policymakers puzzled about which one to use. In our research, we evaluated nine well-known theoretical models of information technology adoption and identified 29 different constructs. A unified model of e-government adoption (UMEGA) is developed and validated using data gathered for three different eGov systems. The results indicate that the proposed unified model outperforms all other theoretical models, explaining the highest variance on behavioral intention, acceptable levels of fit indices, and significant relationships for each hypothesis. The UMEGA is a parsimonious model based on the e-government-specific context, whereas the constructs from the original technology adoption models were found to be inappropriate for the e-government context. By using the UMEGA, relevant e-government constructs were included.
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