Papers by Author: Wen Ping Wu

Abstract: Applying D&M IS success model, the study integrates three web quality factors (web quality: system quality, information quality, and service quality) and online trust to explore the IS success model of health websites. A survey of 1076 users of five teaching hospitals’ websites was conducted to validate the proposed model. According to the statistical results, the proposed model fits very well for the samples. The findings also show that three web quality factors have all significantly positive effect on web usage and web satisfaction. In addition, this study also confirms that online trust is important antecedent of web outcomes. System quality, Information quality, service quality and online trust jointly have significantly positive effect on web usage and web satisfaction. This study emphasizes the importance of both technological and social psychological factors in the progress towards success health websites. By integrating online trust into the success model of health websites, the proposed model extends beyond traditional technology-based view of web systems, and can provide academics and practitioners with better assessment of web success.

Abstract: This paper proposes a novel multiobjective genetic algorithm (MOGA), Evaluated Preference Genetic Algorithm (EPGA), for efficiently solving engineering multiobjective optimization problems. EPGA utilizes a preferred objective vector to perform a fast multiobjective ranking schema within a low computation complexity O(MNlogN) where N is the size of genetic population and M is the number of objectives. For verifying the proposed algorithms, this paper studies two engineering problems in which multiple mutual-conflicted objectives should be considered. According to the experimental results, the proposed EPGA can efficiently explore the Pareto front and provide very good solution capabilities for the engineering optimization problems.