scispace - formally typeset
Journal ArticleDOI

Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL

Reads0
Chats0
TLDR
The empirical case study of B2C e-commerce provides the researchers and practitioners to understand in a better way the evaluation process from a practical point of view and the comparison results with other MCDM methods further verify the robustness of the proposed approach.
Abstract
Proposing a fuzzy hierarchical TOPSIS based on E-S-QUAL for evaluating e-commerce.Utilizing fuzzy hierarchical TOPSIS to reflect the hierarchical structure.Applying E-S-QUAL for assessing e-commerce website service quality effectively.Conducting the case study to understand in a better way the evaluation process.Conducting a validation test with other MCDM to verify the robustness of method. In the wake of the rapid emergence of e-commerce, its evaluation is of great theoretical and practical importance. Among the various types of e-commerce, business-to-consumer (B2C) e-commerce has become a key, and especially influential, retailing channel. Its ascendancy raises core issues with respect to how the customer is to be satisfied by, and therefore inclined to trust, e-commerce websites. B2C e-commerce website evaluation, therefore, is an important related issue. First, while a number of studies have studied B2C e-commerce website evaluation using various multiple-criteria-decision-making (MCDM) methods, they have focused only on the perceived service quality of B2C e-commerce websites. In fact, it is generally recognized that service quality is determined by the difference between the expected service level (which expectation is derived from information obtained before the service experience) and the actual, perceived service level; this concept, then, should be also be afforded due consideration in B2C e-commerce website evaluation. Second, among the various MCDM approaches, TOPSIS, which involves the consideration of both the positive-ideal solution (PIS) and the negative-ideal solution (NIS), is especially pertinent to the complex decision-making entailed in the evaluation of B2C e-commerce websites. Third, the human element of subjectivity in the evaluation of B2C e-commerce websites needs to be considered in order to enable modeling of real-life website-evaluation situations. Finally, the hierarchical structure of the evaluation criteria between the main dimensions and their sub-criteria should be considered. To reflect these issues, in this paper, we present a fuzzy hierarchical TOPSIS based on E-SERVQUAL (E-S-QUAL). This approach effectively considers the raised issues and preserves the core concept of E-S-QUAL (the extended version of SERVQUAL) for measurement of electronic service quality in the e-commerce environment. The empirical case study of B2C e-commerce provides the researchers and practitioners to understand in a better way the evaluation process from a practical point of view. In addition, core finding of this study is that the comparison results with other MCDM methods further verify the robustness of the proposed approach. It implies that this method potentially can be applied to performance evaluation of similar service sectors.

read more

Citations
More filters
Journal ArticleDOI

A bibliometric-based survey on AHP and TOPSIS techniques

TL;DR: A bibliometric based survey on AHP and TOPSIS methods has been conducted and shows increasing recognition of powerful of MCDA techniques to support strategic decisions.
Journal ArticleDOI

Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method

TL;DR: A novel integrated FMEA model based on cloud model theory and hierarchical technique for order of preference by similarity to ideal solution (TOPSIS) method is developed to assess and rank the risk of failure modes.
Journal ArticleDOI

Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages

TL;DR: The credibility of the IR-AHP-MABAC model was demonstrated by comparing the results of different multi-criteria techniques and analyzing viability, and shown that the new approach to dealing with imprecision yields credible, reputable ranks.
Journal ArticleDOI

An extension of fuzzy TOPSIS for a group decision making with an application to tehran stock exchange

TL;DR: Three group MCDM methods are developed and used for selecting undervalued stocks by dint of financial ratios and subjective judgments of experts and a new fuzzy distance measure, derived from the confidence level of the experts and fuzzy performance ratings have been included in the proposed methods.
Journal ArticleDOI

Selection of the Best Healthcare Waste Disposal Techniques During and Post COVID-19 Pandemic Era

TL;DR: An assessment framework for the selection of the best HCW disposal technique based on socio-technical and triple bottom line perspectives is proposed and indicates that incineration is the best waste disposal technique among the available alternatives.
References
More filters
Journal Article

SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality.

TL;DR: In this paper, the authors describe the development of a 22-item instrument (called SERVQUAL) for assessing customer perceptions of service quality in service and retailing organizations, and the procedures used in constructing and refining a multiple-item scale to measure the construct are described.
Journal ArticleDOI

A Conceptual Model of Service Quality and Its Implications for Future Research

TL;DR: The attainment of quality in products and services has become a pivotal concern of the 1980s as discussed by the authors, while quality in tangible goods has been described and measured by marketers, quality in services is la...
Journal ArticleDOI

The behavioral consequences of service quality

TL;DR: In this article, the authors show that service quality relates to retention of customers at the aggregate level, as other research has indicated, and evidence of its impact on customers' behavioral responses should be detectable.
Book

Multiple Attribute Decision Making: Methods and Applications

TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
Related Papers (5)