An Application of Expectancy Theory for Assessing User Motivation to Utilize an Expert System

Abstract:

Evaluation of information system success has been the focus of much research. However, most variables such as user satisfaction and system usage can only be measured after system implementation. To predict system success before actual implementation, behavioral theories indicate that it is necessary to evaluate behavioral intention or users’ motivation to use the system. Expectancy theory is considered one of the most promising models of individual motivation. This study examines the use of expectancy theory in explaining the motivation to use an expert system. Data gathered from 95 M.B.A. students in a jUdgmental modeling exercise suggest that the model is a significant predictor of motivation. It also provides insight into the development of such systems. The successful use of this model further suggests that itis appropriate for evaluating and understanding individual motivation to use a system and, subsequently, system success.

Key Words and Phrases::

• behavioral intention
• expectancy theory
• expert system
• individual motivation
• information system success

Additional information

Notes on contributors

F. Greg Burton

F. Greg Burton is a Ph.D. candidate in accounting at the University of South Carolina. He has an M.Acc. degree from Utah State University. He is a certified public accountant and was recently a senior manager with the international accounting firm KPMG Peat Marwick. His research interests include accounting information systems, information systems control environments, and behavioral aspects of information systems and auditors.

Yi-Ning Chen

YI-Ning Chen is a Ph.D. candidate in accounting at the University of South Carolina. She has an M.Acc. degree from the University of South Carolina. Her research interests include behavioral implications of information systems and auditing.

Varun Grover

Varun Grover is an Assistant Professor of MIS at the University of South Carolina. He has a Ph.D. from the University of Pittsburgh, an M.B.A. from Southern Illinois University, and a B.Tech. in electrical engineering from the Indian Institute of Technology, New Delhi. His research interests center on the management of information systems, including strategic information systems, strategic planning for IS, data resource management, and IS effectiveness. He has published numerous articles on these topics in the leading IS and management science journals.

Kathy A. Stewart

Kathy A. Stewart is a Ph.D. candidate in MIS at the University of South Carolina. She earned her M.B.A. from Baylor University where she was previously on the faculty. Her research interests include strategic information systems, international information systems, and IT-enabled re-engineering.