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由任務科技配適度觀點探討司法人員資訊系統使用與工作績效之影響因子
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Exploring the Influencing Factors of Judicial Personnel’s
Information System Usage and Job Performance from the
Perspectives of Task-Technology Fit
1. Purpose/Objective
To improve the quality and efficiency of its judicial and administrative affairs, Taiwan’s
Judicial Yuan has invested significant resources to upgrade its information technology
infrastructure and to develop judicial information systems. Nonetheless, the availability of
technology does not necessarily result in improved performance. This study seeks to
investigate user perception of the utility of judicial information systems in terms of task
facilitation. Specifically, the study seeks to delineate the relationship between the perception
judicial personnel have of task-technology fit and its impact on their job performance. This
study also investigates the plausible effects of individual differences and environmental
factors on this relationship.
2. Design/Methodology/Approach
A research model is proposed based on Task-Technology Fit Theory and Social
Cognitive Theory. Primary data was collected through a survey. Research construct
measurements were primarily adapted from previously validated instruments. To refine the
proposed research model and the measurement of research constructs, in-depth interviews
were conducted with nine High Court and District Court personnel to identify and explore
the impact of contextual factors. Interview responses were used to modify the model by
adding the concept of “timeliness” to task characteristics. The researchers reviewed and
discussed the questionnaire with judicial officers and incorporated their feedback before
distributing the questionnaire to High Court and District Court personnel (including judges,
judicial affairs officers, court clerks, judicial assistants, etc.). A total of 155 questionnaires
were collected, of which 138 responses were valid and used for subsequent analysis. The
research model was tested using Partial Least Squares (PLS), a popular component-based
SEM approach known for its ability to simultaneously evaluate both the measurement and
Shu-Ming Wang
, Associate Professor, Department of Information Management, Chinese Culture
University
Judy Chuan-Chuan Lin
, Professor, Department of Computer Science and Information Management,
Soochow University
Tzu-Ching Chien
, Assistant System Designer, Department of Information Management, Judicial Yuan
Monica Ren-Chuen Tzou
, Secretary General, Association for Joyfulness in Organization and Your Life