Using importance–performance analysis, goal difficulty and the Kano model to prioritize improvements in the quality of home delivery logistics services

业务 交付性能 产品(数学) 服务质量 独创性 过程管理 营销 质量(理念) 订单(交换) 运营管理 卡诺模型 顾客满意度 服务(商务) 服务交付框架 定性研究 经济 社会科学 认识论 几何学 哲学 社会学 财务 数学
作者
Kai‐Chieh Hu,Kai-Chieh Chia,Mingying Lu,Ya-Lan Liang
出处
期刊:The International Journal of Logistics Management [Emerald (MCB UP)]
卷期号:33 (2): 477-498 被引量:13
标识
DOI:10.1108/ijlm-12-2020-0491
摘要

Purpose The purpose of the study is to clarify the quality of home delivery logistics services from the perspectives of customers and provide insight to aid the prioritization of service quality improvements and guide managerial strategic planning. Design/methodology/approach The study used a three-dimensional model that integrated Kano model, goal difficulty (GD) and importance–performance analysis (IPA) for investigating service quality aspects emphasized by customers and determine which attributes should be prioritized according to an enterprise's resource and capability constraints. Data were collected through questionnaires administered to the customers and managers of five primary home delivery logistics service enterprises and six small to medium-sized enterprises in Taiwan. Improving the quality of home delivery logistics services has become of increased interest for enterprises. Findings The three most important attributes, ranked in order of priority for improvement, were the protection of customers' personal information, delivery of products without damage and reasonable compensation standards for product damage. The study concludes that enterprises should prioritize the improvement of these attributes. Implications, detailed explanations and directions for further investigations are also proposed. Originality/value The study discusses the importance and relevant satisfaction levels of service quality attributes from the perspective of customers while also considering the limitations of companies' resources and capabilities. The results indicate that the method can be used to identify service quality attributes of home delivery logistics and formulate strategies for enhancing customer satisfaction.
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