Implementing multi-attribute utility theory in service recovery: An operational management perspective on online retailing

IF 11 1区 管理学 Q1 BUSINESS
Yan Song , Yifan Xiu , Liping Zhou , Jingyuan Wang
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引用次数: 0

Abstract

How corporate decision-makers allocate resources to address the major issues of service recovery is critical. This article, from the perspective of operations management, integrates Multi-Attribute Utility theory into the field of service recovery. Through the use of online review data from smart home products, the PCRA-Multi-Attribute Utility model is proposed. Based on the model, this paper presents a prioritization strategy for service recovery and reveals that the utility of intelligent products is primarily influenced by service attitude. Furthermore, we discovered that manager's response strategies should pay more attention to recovery related to vital attributes. Strategy optimization can be achieved by adjusting the response length of these key attributes.

在服务恢复中实施多属性效用理论:从运营管理角度看在线零售
企业决策者如何分配资源以解决服务恢复的主要问题至关重要。本文从运营管理的角度出发,将多属性效用理论融入服务恢复领域。通过使用智能家居产品的在线评论数据,提出了 PCRA-Multi-Attribute Utility 模型。基于该模型,本文提出了服务恢复的优先级策略,并揭示了智能产品的效用主要受服务态度的影响。此外,我们还发现管理者的应对策略应更加关注与重要属性相关的恢复。通过调整这些关键属性的响应长度,可以实现策略优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
20.40
自引率
14.40%
发文量
340
审稿时长
20 days
期刊介绍: The Journal of Retailing and Consumer Services is a prominent publication that serves as a platform for international and interdisciplinary research and discussions in the constantly evolving fields of retailing and services studies. With a specific emphasis on consumer behavior and policy and managerial decisions, the journal aims to foster contributions from academics encompassing diverse disciplines. The primary areas covered by the journal are: Retailing and the sale of goods The provision of consumer services, including transportation, tourism, and leisure.
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