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Purpose -Taking into consideration external (technology acceptance factors, website service quality) as well as internal (specific holdup cost) factors, this paper aims to explore how internet customer satisfaction and loyalty can be associated with each other and how they are affected by these dynamics. Design/methodology/approach -This study adopts structural equation modelling (SEM) as the main analytical tool. It investigates the shopping experiences of users of the major shopping websites of Taiwan. Findings -The research results point to the following: first, customer e-satisfaction will positively influence customer e-loyalty directly; second, technology acceptance factors will positively influence customer e-satisfaction and e-loyalty directly; third, website service quality can positively influence customer e-satisfaction and e-loyalty directly; and fourth, specific holdup cost can positively influence customer e-loyalty directly, but cannot positively influence customer e-satisfaction directly. Originality/value -This paper draws on the research results for implications for shopping website management and design, then suggests some ways to enhance performance for the website shopping industry.

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The fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are extremely beneficial when a decision-making process is complex. The reason is that AHP and TOPSIS can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria and can thus generate an overall ranking of the alternatives. This study uses fuzzy AHP and fuzzy TOPSIS to evaluate the human resource in science and technology (HRST) performance of Southeast Asian countries. The fuzzy TOPSIS analysis indicates that Singapore, South Korea, and Taiwan have similarities in their desired levels of HRST performance. That is, these three countries have better HRST performances than other Southeast Asian countries.

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