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The Effect of Outcome Expectations on Conative IS use : Perspectives of Social Cognitive Theory and Coping Theory

초록

영어

Enterprise systems implementations have been suffering from a high failure rate despite their expected benefits. One of the commonly reported reasons for the implementation failures is the end-user’s unwillingness to use the systems. Considering that the appropriate management of expectations may play an important role in making a positive behavior toward newly implemented systems, this study examines the effect of outcome expectations on conative system use activity in the mandatory use context of information systems from the social cognitive theory and coping theory perspective. Structural equation model analysis using LISREL 8.7 provides significant support for the proposed relationships. The empirical results suggest that outcome expectations and user satisfaction have positive effects on conative system use activity conceptualized by immersion, reinvention, and learning. In addition, this research conducts an analysis on a comparative model with traditional dependent variable and compares it to the result of the proposed research model. Theoretical and practical implications of the study shed some light on how to improve system use activity in the mandatory use context of information systems.

목차

Abstract
 I. Introduction
 II. Theoretical Background
  2.1 Social Cognitive Theory
  2.2 Coping Theory
  2.3 Conative IS Use and Its Conceptualization
 III. Research Model and Hypotheses
  3.1 Outcome Expectations and System Performance
  3.2 Outcome Expectations and System Use Activity
  3.3 System Performance and User Satisfaction
  3.4 User Satisfaction and Conative IS Use Activity
 IV. Research Methodology
  4.1 Measurement Development
  4.2 Data Collection and Sample Characteristics
 V. Data Analysis and Results
  5.1 Confirmatory Factor Analysis
  5.2 Second-Order Confirmatory Factor Analysis
  5.3 Hypothesis Testing
  5.4 Analysis on the Comparative Model with Intention to Use as the Dependent Variable
 VI. Discussion and Implications
  6.1 Discussion of Findings
  6.2 Implications
  6.3 Limitations
 VII. Conclusion
 References
 Appendix: Measurement Instrument

저자정보

  • Kee-Young Kwahk Main author, School of Management Information Systems, Kookmin University
  • Hyunchul Ahn School of Management Information Systems, Kookmin University

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