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

机译:基于E-S-QUAL的模糊层次TOPSIS法对电子商务网站的评估

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摘要

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. (C) 2016 Published by Elsevier B.V.
机译:随着电子商务的迅速兴起,其评估具有重要的理论和实践意义。在各种类型的电子商务中,企业对消费者(B2C)电子商务已成为关键的,尤其是有影响力的零售渠道。它的优势提出了与电子商务网站如何满足客户(并因此倾向于信任)有关的核心问题。因此,B2C电子商务网站评估是一个重要的相关问题。首先,尽管许多研究使用各种多标准决策(MCDM)方法研究了B2C电子商务网站评估,但它们仅关注B2C电子商务网站的感知服务质量。实际上,通常公认的是,服务质量是由预期服务水平(该期望是从服务经验之前获得的信息得出的)与实际感知的服务水平之间的差异决定的;因此,在B2C电子商务网站评估中也应适当考虑这一概念。其次,在各种MCDM方法中,TOPSIS同时考虑了正理想解决方案(PIS)和负理想解决方案(NIS),尤其与评估B2C e所需的复杂决策有关商务网站。第三,需要考虑B2C电子商务网站评估中的主观性人为因素,以便对现实生活中的网站评估情况进行建模。最后,应考虑主要维度及其子准则之间的评估标准的层次结构。为了反映这些问题,在本文中,我们提出了一种基于E-SERVQUAL(E-S-QUAL)的模糊层次TOPSIS。这种方法有效地考虑了所提出的问题,并保留了E-S-QUAL(SERVQUAL的扩展版本)的核心概念,用于衡量电子商务环境中的电子服务质量。 B2C电子商务的经验案例研究为研究人员和从业人员从实践的角度更好地理解了评估过程。此外,这项研究的核心发现是与其他MCDM方法的比较结果进一步验证了该方法的鲁棒性。这意味着该方法可能可以应用于类似服务部门的性能评估。 (C)2016由Elsevier B.V.发布

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