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Fuzzy Quality Function Deployment in Online Shopping Websites - Literature Review
Ashish K. Sharma,Sunanda Khandait 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.4
Today, an effective website design has emerged as a thing of main concern for online shopping businesses and thus the companies involved in the online shopping businesses are aspiring for well-designed websites. In the past, several methods have been reported but they proved unproductive as they failed to handle the decision making involved in the process to evaluate the customer needs efficiently. Thus to cope up with the issue, the paper considers QFD approach as it a customer driven process that strongly assists in guiding the design decisions. The purpose of this paper is to explore the issues that have resulted in the decrease of satisfaction rate of users, analyze the problems with the methods used and propose effective solution through the literature review. The contribution of this paper is manifold. First, it explores QFD at length and evaluates its applicability for effective design of online shopping websites. This helps users understand the decision making capabilities of QFD. Second, it highlights the limitations of QFD approach in handling the vague and imprecise data that arise due to the inherent crisp approach and subjectivity involved in the QFD approach. Finally, the paper proposes fuzzy integration with QFD to deal with the uncertainty and vagueness involved in the QFD process for improved decision making and more precise results leading to effective design of online shopping websites. The literature review is based on information from various research papers, tools and web sources.
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