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电子商务环境下客户忠诚度关键因素的模糊逻辑分析

Fuzzy Logic Analysis for Key Factors for Customer Loyalty in E-Shopping Environment.

作者信息

Guo Li-Xin, Lin Chih-Chen, Huang Po-Fang, Jhou Shou-Yueh, Chen Shih-Chih, Tsai Fu-Sheng

机构信息

School of Business, Huaiyin Institute of Technology, Huai'an, China.

Postgraduate Program in Management, I-Shou University, Kaohsiung, Taiwan.

出版信息

Front Psychol. 2021 Sep 29;12:742699. doi: 10.3389/fpsyg.2021.742699. eCollection 2021.

Abstract

Due to subjective evaluation and qualitative characteristics, the assessment processes of loyalty often cannot use the crisp value to express the final value. That makes the evaluation of online store performance usually filled with uncertainty and ambiguity. The loyalty assessment of electronic shopping is complex, and online stores' strategy and production control problems are frequently accompanied by uncertain conditions. This study constructs a conceptual model to leverage the fuzzy logic approach for understanding the consumers' decision-making in the e-service context of shopping. This study also exposes the relationships between system quality, information quality, and service quality to understand their impacts on customer loyalty. Implications and future research directions for service providers and researchers are discussed.

摘要

由于主观评价和定性特征,忠诚度的评估过程往往无法用清晰的值来表达最终结果。这使得在线商店绩效评估通常充满不确定性和模糊性。电子购物的忠诚度评估很复杂,在线商店的战略和生产控制问题常常伴随着不确定的情况。本研究构建了一个概念模型,利用模糊逻辑方法来理解消费者在电子购物服务环境中的决策过程。本研究还揭示了系统质量、信息质量和服务质量之间的关系,以了解它们对客户忠诚度的影响。讨论了对服务提供商和研究人员的启示以及未来的研究方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/454d/8511525/51eaf9b9d6f4/fpsyg-12-742699-g0001.jpg

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