Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Fuzzy Sets and Systems - Special issue on mathematical aspects of fuzzy sets
Identification of &lgr;-fuzzy measure by genetic algorithms
Fuzzy Sets and Systems
Developing Internet e-commerce benchmarks
Information Systems - Special issue on information systems support for electronic commerce
Internet-based e-shopping and consumer attitudes an empirical study
Information and Management
ECommerce Strategies
How the Internet Works
Net Ready: Strategies for Success in the E-conomy
Net Ready: Strategies for Success in the E-conomy
Digital Capital: Harnessing the Power of Business Webs
Digital Capital: Harnessing the Power of Business Webs
The E-Mail Frontier: Emerging Markets and Evolving Technologies
The E-Mail Frontier: Emerging Markets and Evolving Technologies
Electronic commerce: structures and issues
International Journal of Electronic Commerce - Special section: Diversity in electronic commerce research
Identification of general fuzzy measures by genetic algorithmsbased on partial information
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information Sciences: an International Journal
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This study aimed to provide a theoretically and empirically based model for evaluating and selecting an e-commerce strategy. In practical environments, mangers face a variety of information types that are vague. Traditional decision making methods cannot fulfill the e-commerce managers' needs. Therefore, a Fuzzy Multiple Criteria Decision-Making (MCDM) method is adopted in this research. In order to show the practicality and usefulness of this model, an empirical study of the Taiwan ISP industry is demonstrated. The results show that the first to market strategy is the most applicable.