Service quality evaluation of car rental industry in China

被引:13
|
作者
Zhang, Min [1 ]
Xie, Yueyue [1 ]
Huang, Lili [1 ]
He, Zhen [1 ]
机构
[1] Tianjin Univ, Sch Management & Econ, Tianjin, Peoples R China
基金
美国国家科学基金会;
关键词
Service quality; SERVQUAL model; Car rental industry in China; Customer satisfaction; Customer loyalty;
D O I
10.1108/IJQRM-11-2012-0146
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose - Due to the rapid development of automotive industry, China has become the world first in car production and consumption. However, under the pressure of environment pollution, traffic congestion and parking restriction in big cities, the car rental service, as an alternative solution for private car, becomes a new trend. The market is disorganized now. This research aims to use SERVQUAL model to further examine which dimension has great contribution to service quality. Design/methodology/approach - A service quality evaluation scale for the car rental industry in China is designed based on PZB's SERVQUAL model. The reliability and exploratory factor analysis methods are adopted to measure the validity and reliability of the scale from the sampled data. At the same time, the relationship between service quality, customer satisfaction and customer loyalty is discussed with the path analysis method. Findings - The results show that the contribution of empathy to the total service quality ranks the top. At the same time, empathy has a strong impact on customer satisfaction and customer loyalty. Practical implications - It is very important to attract customers depending on personalized services or service providing mode, that is, the empathy. Originality/value - As a new mode in China, the car rental market is disorganized and has low service quality. The evaluation scale is designed including five dimensions. The analysis results provide guidance on how to improve their service quality to managers in car rental industry in China.
引用
收藏
页码:82 / +
页数:22
相关论文
共 50 条
  • [21] Erratum: Revenue management in the car rental industry: A stochastic programming approach
    Alwin Haensel
    Michael Mederer
    Henning Schmidt
    Journal of Revenue and Pricing Management, 2011, 10 (3) : 290 - 290
  • [22] Analysis of Quality of Car Rental Services Following Example of "Citybee"
    Ciziuniene, Kristina
    Vitkunas, Rolandas
    TRANSBALTICA XI: TRANSPORTATION SCIENCE AND TECHNOLOGY, 2020, : 122 - 131
  • [23] QUALITY OF SERVICE IN TEXTILE INDUSTRY: EVALUATION OF CUSTOMERS RETAILERS
    dos Santos, Leomar
    Koerich, Gildo Jose
    Bach, Tatiana Marceda
    Walter, Silvana Anita
    REVISTA ELETRONICA DE ESTRATEGIA E NEGOCIOS-REEN, 2012, 5 (01): : 200 - 223
  • [24] Study on the Evaluation Method of Quality Index of Service Industry
    Cai, Huali
    Zhang, Ning
    Liu, Bisong
    PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON SOCIAL NETWORK, COMMUNICATION AND EDUCATION (SNCE 2017), 2017, 82 : 568 - 571
  • [25] Evaluation Model of Tea Industry Information Service Quality
    Shi, Xiaohui
    Chen, Tian'en
    COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IX, CCTA 2015, PT II, 2016, 479 : 320 - 329
  • [26] The Research of Service Quality Evaluation in Logistic and Express Industry
    Zhen, Xiao
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE, 2014, 101 : 262 - 265
  • [27] Service quality research on China's hospitality and tourism industry
    Tsang, Nelson K. F.
    Lee, Louisa Yee-Sum
    Qu, Hailin
    INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2015, 27 (03) : 473 - 497
  • [28] An evaluation of coupling coordination between sports industry and health service industry in China
    Xu, Jinfu
    Yang, Shaoxiong
    Lin, Yu
    Yang, Ruoyu
    PLOS ONE, 2021, 16 (08):
  • [29] Research on the demand forcast of Beijing car rental industry based on system dynamics
    Wan Feng-jiao
    ADVANCES IN COMPUTING, CONTROL AND INDUSTRIAL ENGINEERING, 2012, 235 : 267 - 270
  • [30] Inventory pooling technique from the car rental industry: now and in the autonomous future
    Cheng, Kuangnen
    Jin, Byunghoon
    INTERNATIONAL JOURNAL OF BUSINESS ENVIRONMENT, 2021, 12 (01) : 37 - 63