基于CCSI的物流配送服务顾客满意度测评模型

doi:10.3969/j.issn.1674-0696.2021.10.17

重庆交通大学学报（自然科学版） ›› 2021, Vol. 40 ›› Issue (10): 146-153.DOI: 10.3969/j.issn.1674-0696.2021.10.17

• 交通+大数据人工智能 • 上一篇

基于CCSI的物流配送服务顾客满意度测评模型

傅志妍1,2，刘柯良1，黄勇1，陈坚1

(1. 重庆交通大学交通运输学院，重庆 400074； 2. 重庆第二师范学院经济与工商管理学院，重庆 400067)

收稿日期:2020-05-05 修回日期:2021-01-05 发布日期:2021-10-29
作者简介:傅志妍(1984—)，女，山西太原人，博士研究生，主要从事交通运输规划与管理方面的研究。E-mail：335017687@qq.com 通信作者：陈坚(1985—)，男，江西赣州人，教授，博士，主要从事交通运输系统分析与决策方面的研究。E-mail：chenjian525@126.com
基金资助:
国家社会科学基金西部项目(17XGL009)；重庆市教育委员会人文社会科学研究规划项目(19SKGH208)

Customer Satisfaction Evaluation Model of Logistics Distribution Service Based on the CCSI

FU Zhiyan1,2, LIU Keliang1, HUANG Yong1, CHEN Jian1

(1. College of Traffic and Transportation Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. College of Economics & Business Administration, Chongqing University of Education, Chongqing 400067, China)

Received:2020-05-05 Revised:2021-01-05 Published:2021-10-29

摘要/Abstract

摘要： 为解决物流配送服务顾客满意度缺少定量描述方法的问题，在中国顾客满意度指数模型基础上，通过感知服务质量、期望服务质量、品牌形象、感知服务费4个影响因素，从顾客心理感知角度探索各因素对顾客满意度与忠诚度的影响作用，构建了物流配送服务顾客满意度测评模型。运用二阶结构方程模型进行变量构念简化，进而定量分析了各影响因素对物流配送服务顾客满意度的影响作用，以及各影响因素之间、满意度与忠诚度之间的相互关系。最后将模型应用于重庆市实例分析中。结果表明：感知服务质量与感知服务费用对物流配送服务顾客满意度的影响作用最为显著，品牌形象影响作用亦不容忽视，而顾客满意度显著决定着顾客忠诚度。

关键词: 交通运输工程；综合交通运输；物流配送服务；顾客满意度；影响因素；结构方程模型

Abstract: In order to solve the lack of quantitative description method for customer satisfaction in logistics distribution services, based on the Chinese customer satisfaction index model (CCSI), the impact of various factors on customer satisfaction and loyalty from the perspective of customer psychological perception was explored through the four influencing factors such as perceived service quality, expected service quality, brand image and perceived service cost. And a customer satisfaction evaluation model for logistics distribution service was constructed. The second-order structural equation model was used to simplify the variable concept, and then the impact of various influencing factors on customer satisfaction of logistics distribution services as well as the relationship between various influencing factors and satisfaction and loyalty was analyzed quantitatively. Finally, the proposed model was applied to the case analysis of Chongqing. The results show that the perceived service quality and perceived service cost have the most significant impact on the customer satisfaction of logistics distribution services, the impact of brand image cannot be ignored, and customer satisfaction significantly determines customer loyalty.

Key words: traffic and transportation engineering; integrated transportation; logistics distribution service; customer satisfaction; influencing factor; structural equation model

中图分类号:

U116.1

傅志妍1,2，刘柯良1，黄勇1，陈坚1. 基于CCSI的物流配送服务顾客满意度测评模型[J]. 重庆交通大学学报（自然科学版）, 2021, 40(10): 146-153.

FU Zhiyan1,2, LIU Keliang1, HUANG Yong1, CHEN Jian1. Customer Satisfaction Evaluation Model of Logistics Distribution Service Based on the CCSI[J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(10): 146-153.

参考文献

［1］ TONTINI G, SILEN K S, ZANCHETT R. Nonlinear antecedents of customer satisfaction and loyalty in third-party logistics services (3PL)［J］. Asia Pacific Journal of
Marketing and Logistics, 2017, 29(5): 1116-1135.
［2］ RABINOVICH E, KNEMEYER A M, MAYER C M. Why do internet commerce firms incorporate logistics service providers in their distribu-tion channels — The role of
transaction costs and network strength［J］. Journal of Operations Management, 2007, 25(3): 661-681.
［3］ RAO S, GOLDSBY T J, CRIFLIS S E, et al. Electronic logistics service quality (e-LSQ): Its impact on the customers purchase satisfaction and retention［J］. Journal
of Business Logistics, 2011, 32(2): 167-179.
［4］张炎亮, 胡琳琳, 李亚东. 基于神经网络集成的第三方物流客户满意度测评［J］. 工业工程, 2013, 16(3): 84-88.
ZHANG Yanliang, HU Linlin, LI Yadong. A Research on customer satisfaction evaluation in 3PL enterprises based on neural networks ensemble［J］. Industrial Engineering
Journal, 2013, 16(3): 84-88.
［5］ VLACHOS I. Customer loyalty in international third-party logistics ser-vice providers［C］∥Proceedings of the 2016 Academy of Marketing Science (AMS) World
Marketing Congress, Marketing at the Confluence between Entertainment and Analytics. Cham, Switzerland: Springer, 2017.
［6］刘明, 杨路明. 快递物流企业提升客户满意度研究［J］. 技术经济与管理研究, 2015(9): 72-75.
LIU Ming, YANG Luming. Research on improving customers satisfaction to express logistics enterprises［J］. Technoeconomics and Management Research, 2015(9): 72
-75.
［7］王欣. 基于顾客满意度的快递企业服务质量评价模型［J］. 系统仿真技术, 2019, 15(1): 47-51.
WANG Xin. Service quality evaluation model of express enterprises based on customer satisfaction［J］. System Simulation Technology, 2019, 15(1): 47-51.
［8］蒋伟伟. 基于CCSI模型的搜索引擎评价研究［J］. 情报科学, 2007,25(11): 1659-1663.
JIANG Weiwei. Research on the evaluation of searching engine based on the CCSI model［J］. Information Science, 2007,25(11): 1659-1663.
［9］ GRNROOS C. A service quality model and its marketing implications［J］. European Journal of Marketing, 1984, 18(4): 36-44.
［10］ PRIESTER J R. The use of structural equation models in consumer psychology: A methodological dialogue on its contributions, cautions, and concerns［J］. Journal
of Consumer Psychology, 2010, 20（2）: 205-207.
［11］ CAMGOZ-AKDAG H, ZAIM S. Education: A comparative structural equation modeling study［J］. Procedia-Social and Behavioral Sciences, 2012, 47: 874-880.
［12］ BOCCIA F, SARNACCHIARO P. Structural equation model for the evaluation of social initiatives on customer behavior［J］. Procedia Economics and Finance, 2014,
17: 211-220.
［13］ KLINE R B. Principles and Practice of Structural Equation Modeling［M］. 2nd ed. New York: Guilford Press, 2005.
［14］ MARSH H W, HOCEVAR D. Application of confirmatory factor analysis to the study of self-concept: First and higher order factor models and their invariance across
groups［J］. Psychological Bulletin, 1985, 97(3): 562-582.

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基于CCSI的物流配送服务顾客满意度测评模型

Customer Satisfaction Evaluation Model of Logistics Distribution Service Based on the CCSI

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