Predicting Factors of Repurchase Intention on the Internet: An Artificial Neural Network Approach
| Autor: | Hsiao-Chien Wu, 吳學謙 |
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| Rok vydání: | 2010 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 98 As the prosperous of Internet, so came the rise of on line-shopping, and this changed the nature of shopping as it used to be. With the value of on-line shopping rise gradually, research of Internet repurchase intention has become a critical issue. There are various theories used in prior research for understanding repurchase intention, such as Technology Acceptance Model (TAM), Social Cognitive Theory (SCT), and Expectancy Disconfirmation Theory (EDT). Through reviewing related research theories, this research aims at finding factors that might affect consumers'' repurchase intention. This research exemplified the factors that could affect continuous usage intention of on line shopping, and therefore should avoid conflicting factors while deploying website designs and managements, in order to generate customer loyalty and thrust productivity. Among the continuous usage intention related researches, there are only few studies using artificial neural network system (ANNs) on analyzing and discussing related issues. Through reviewing related research, this study compiled 16 factors affecting repurchase intention. Three hundred and seventy-one valid samples are collected from Taiwan’s on-line consumers to conduct the analysis. Research results showed that perceived usefulness, prior experience, Internet self-efficacy, service quality, commodity variety and website design are of significant influence. From this we can explore the critical factors of the Internet repurchase intention. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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