The Department of Information Systems, Business Statistics and Operations Management (ISOM) consists of two divisions: Information Systems and Operations Management. The Department is internationally recognized for its authoritative research and ranked among the Top 20 in the world and No. 1 in the Asia-Pacific region, according to the University of Texas at Dallas’s survey (2009-2013) of the premier ISOM journals: Information Systems Research, MIS Quarterly, Management Science, and Operations Research.
Faculty members of the Information Systems (IS) division are on the editorial boards of the top IS journals. Our students have gone on to academic positions in Australia, Finland, France, Hong Kong, Netherlands, Singapore, UK, and the USA. Some are now full professor/associate professors and on the editorial boards of the top IS journals.
The two key areas of research focus in the IS division are as follows:
Behavioral Research: Our primary interest is in studying the management of information technology (IT) and the use of IT for managerial and organizational purposes. Our research examines more than just technological systems or social systems – it investigates the phenomena that emerge when the two interact. Examples include human-computer interaction, user acceptance of IT innovations, IT strategy, electronic communities, e-government, e-commerce, and telecommunications policy. The methodologies employed include surveys, experiments and field studies. PhD students will need to take courses in psychology, organizational behavior, survey design, experimental design, multivariate statistics, etc. Prospective students with excellent analytical ability and good proficiency in English are preferred.
Analytical and Empirical Modeling: Economics has contributed to the theoretical richness and methodological rigor of IS research. Examples include information economics, the economics of electronic commerce, economic models for the impact of IT on organizations and markets, and supply and demand of IT. This interdisciplinary collaboration has potential to help resolve many difficult IS issues. PhD students interested in this area need to take courses in game theory, industrial organization, price theory, econometrics, etc. Prospective students with a strong quantitative academic background are preferred.
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