Understanding E-government Project Management: A Positivist Case Study of Singapore

Abstract

This research is conducted in response to the lack of empirical studies on how e- government projects are managed. We extend the contingency framework of project management proposed by Barki and his colleagues (2001) to the context of e- government projects. In particular, we contend that the digital divide is another risk factor for e-government projects and therefore bridging the digital divide should be part of e-government projects' management profiles. To test our research model, we conducted a case study with a ministry in Singapore. Theoretical contributions and managerial implications of this study are discussed.

KEYWORDS:

• E-government
• Project Risk Exposure
• Project Management
• Digital Divide

Additional information

Notes on contributors

Weiling Ke

Weling Ke is an assistant professor in information systems at the School of Business at Clarkson University. She earned her Ph.D. degree from the National University of Singapore. Her research focuses on inter-organizational knowledge sharing, e- government development and enterprise system implementation. Dr. Ke has published work with the Communications of ACM, Journal of Global Information Management and at proceedings of many international IS conferences.

Kwok Kee Wei

Wei Kwok Kee is head and chair professor in the Department of Information Systems, City University of Hong Kong. In 2003, he was elected president of the Association of Information Systems. He has published widely in the information systems field with more than 100 publications including articles in MIS Quarterly, Management Science, Journal of Management Information Systems, Information Systems Research, the European Journal of Information Systems, and ACM Transactions on Information Systems. Currently, Dr. Kee serves on the editorial boards of several international journals including the IEEE Transactions on Engineering Management and from 2000 to 2003, he was senior editor of MIS Quarterly. His research focuses on human-computer interaction, innovation adoption and management, and knowledge management systems.