Impacts of Expertise on the Decisional Guidance Effectiveness:An Empirical Study

• Main Authors: Hsin-Wei Wang, 汪欣瑋
• Other Authors: none
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/90882773016994176763

碩士 === 國立中正大學 === 資訊管理所 === 94 === The decisional guidance proposed in 1990 is to facilitate the effectiveness of Decision Support Systems (DSS) use by guiding users to structure and execute decision-making processes. From previous studies, decisional guidance has an important influence on decision making and users with different types of decisional guidance may have significantly different performance. In addition, the differences between experts and novices in cognitive process, judgment, and problem-solving process may affect the decisional guidance effectiveness. It is necessary to develop the appropriate decisional guidance to maximize experts’ and novices’ decisional guidance effectiveness. Our research empirically examined the good fit between different levels of expertise and different types of the decisional guidance. In order to observe how experts and novices perform with different types of the decisional guidance and find out which type of decisional guidance is the best for experts or novices, a laboratory experiment was conducted. The decisional guidance effectiveness is measured in four criteria: decision quality, user learning, user satisfaction, and decision-making efficiency. The results show the statistically significant interactions effects of the three factors (i.e., forms and modes of the decisional guidance, and the levels of expertise) in user satisfaction and decision-making efficiency. Our findings could be summarized in the following: (1) Experts with predefined-suggestive guidance would have most satisfaction with the system, while novices with predefined-informative guidance would be most satisfied with the system; (2) Experts with dynamic-informative guidance would make fastest decision, while novices with dynamic-suggestive guidance would make decision in the shortest time. These findings are discussed and implications are also provided.