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

Author List: Burton, F. Greg; Chen, Yi-Ning; Grover, Varun; Stewart, Kathy A.;
Journal of Management Information Systems, 1992, Volume 9, Issue 3, Page 183-198.
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 it is appropriate for evaluating and understanding individual motivation to use a system and, subsequently, system success.
Keywords: behavioral intention; expectancy theory; expert system; individual motivation; information system success.
Algorithm:

List of Topics

#15 0.245 motivation intrinsic theory social extrinsic expectancy motivations motivate usage enjoyment rewards consequences reciprocity organizational motivational focus helping system's exploratory substantial
#140 0.212 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#108 0.155 model research data results study using theoretical influence findings theory support implications test collected tested based empirical empirically context paper
#253 0.105 user involvement development users satisfaction systems relationship specific results successful process attitude participative implementation effective application authors suggested user's contingency
#200 0.083 banking bank multilevel banks level individual implementation analysis resistance financial suggests modeling group large bank's services levels national data early
#198 0.052 factors success information critical management implementation study factor successful systems support quality variables related results key model csf importance determinants