Nowadays, e-commerce has been developed rapidly because of the popularity of the internet, and online shopping has become an integral part of people’s lives. E-commerce not only has brought changes in the way of trading, but also leads to the growth of express delivery business. On the other hand, acting as an important support role for e-commerce, express delivery lays the foundation for the development of e-commerce. In the other word, e-commerce and express delivery are two industries that rely on and promote each other. However, the express delivery industry has also produced a lot of new problems to be solved in the e-commerce environment, such as consumer information security and logistics information fraud. As a result, these issues affect the consumer satisfaction of the express brands, and also pose a threat to the consumers’ evaluation of the shopping websites indirectly. Therefore, it is so essential for express industry to understand the factors that influence the express brand satisfaction in the e-commerce environment and to take measures to improve the quality of the express delivery services according to the key influential factors, so as to enhance the consumer satisfaction of the express brands. In this paper, we combine qualitative and quantitative methods. Firstly, assumptions are proposed and a theoretical model is built after having read a lot of related literature. Secondly, we design a questionnaire according to the unique characteristics of express services in China’s e-commerce environment with reference to some mature scales, and then issue the questionnaires to online shopping users. Finally, after questionnaires are collected and are processed, SPSS16.0 and AMOS18.0 statistical software is used to analyze the data. At the beginning, reliability and validity of questionnaires are analyzed, and then we verify the hypothesis with the structural equation model, and the final satisfaction model is constructed after constant adjusting and correcting. In the academia, there are so many papers about express brand satisfaction in the traditional business model and shopping website satisfaction in the e-commerce environment, but so little attention is paid to the factors influencing express brand satisfaction in the e-commerce environment. This paper reveals the relationships between factors of service quality and brand satisfaction in the express industry under current e-commerce environment, and for convenience, economy, timeliness and reliability are used to measure express service quality. It then develops a structural equation model (SEM) to describe those correlations and effects. The results show that timeliness and reliability of express during online shopping have a direct positive impact on the express brand satisfaction, and the reliability has the most significant influence on the express brand satisfaction. In addition, customer experience moderates the impact of express service quality positively on express brand satisfaction. This paper deepens the research on the customer experience and plays a guiding role in the improvement of service performance of the express delivery industry in the e-commerce environment. This paper also puts forward three improvement measures about how to promote the consumer satisfaction towards the express enterprises in the e-commerce environment. Firstly, express delivery companies should cooperate with the e-commerce companies intimately to ensure the timeliness and reliability of the express and create a harmonious relationship among e-commerce companies, express companies and customers. Secondly, express companies should pay more attention to the users’ experience management in the online shopping environment, including direct use experience and evaluation on the internet. Because of the high costs of direct experience and the convenience of the internet, consumers are more willing to choose the express brands indirectly through the evaluation of other consumers on the internet. Thirdly, express delivery companies have to manage the express franchisees strictly and regulate the operation and supervision of franchisees to prevent chaos like " empty package”.
/ Journals / Foreign Economics & Management
Foreign Economics & Management
LiZengquan, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YinHuifang HeXiaogang LiuJianguo, Vice Editor-in-Chief
The Influence of Express Service Quality on Express Brand Satisfaction: Moderating Effect of Customer Experience on E-commerce Environment
Foreign Economics & Management Vol. 39, Issue 12, pp. 140 - 151 (2017) DOI:10.16538/j.cnki.fem.2017.12.010
Summary
References
Summary
Keywords
[1] Cadotte E R, Woodruff R B, Jenkins R L. Expectations and norms in models of consumer satisfaction[J]. Journal of Marketing Research, 1987, 24(3): 305-314.
[2] Carman J M. Consumer perceptions of service quality: An assessment of the SERVQUAL dimensions[J]. Journal of Retailing, 1990, 66(1): 33-55.
[3] Duan Bing. Brand Satisfaction Evaluation Model Based on Structural Equation [J]. Statistics & Decision, 2013, 12, 48-50.
[4] Fishbein M, Ajzen I. Belief, attitude, intention, and behavior: An introduction to theory and research[M]. Reading, MA: Addison-Wesley Pub. Co, 1975.
[5] Grönroos C. An applied service marketing theory[J]. European Journal of Marketing, 1982, 16(7): 30-41.
[6] He Liu. Consumer Satisfaction of the Express Service Brand under B2B2C Ecommerce: Mediated Effects of Perceived Service Quality [J]. China Soft Science, 2013,12,114-127.
[7] Janda S, Trocchia P J, Gwinner K P. Consumer perceptions of Internet retail service quality[J]. International Journal of Service Industry Management, 2002, 13(5): 412-431.
[8] Kim S Y, Lim Y J. Consumers' perceived importance of and satisfaction with internet shopping[J]. Electronic Markets, 2001, 11(3): 148-154.
[9] Kotler P. Marketing management: A south Asian perspective[M]. India: Pearson Education, 2009.
[10] Li Haiying, Lin Liu. The Moderating Effects of Purchase Experience on Customer Satisfaction Evaluation with Online Shopping Platform [J]. Soft Science, 2011,12,137-142.
[11] Li Junjuan. Analysis of Influence Factors on Express Service Customer Satisfaction [J]. Value Engineering, 2012, 31 (34): 21-22.
[12] Lofgren M, Witell L. Two decades of using Kano's theory of attractive quality: A literature review[J]. Quality Management Journal, 2008, 15(1): 59-75.
[13] Lovelock C. Competing on service: Technology and teamwork in supplementary services[J]. Planning Review, 1995, 23(4): 32-47.
[14] Lu Yaobin, Zhou Tao. An Empirical Analysis of Factors Influencing Consumers’ Initial Trust under B2C Environment [J]. Nankai Management Review, 2005,6, 96-101.
[15] Ma Qinhai, Zhao Jia, Zhang Yuexian, etc. A Research on the Formation Mechanism of Customers’Initial Trust under C2C Environment:The Moderation Effect of Online Shopping Experience [J]. Management Review, 2012,7, 70-81 +98.
[16] Ma Shuang, Wang Yonggui, Zhang Jing. Empirical Investigation of the Mechanisms of Post Service Recovery Satisfaction in the Context of E-Commerce- - - - Analysis of the Moderating Effects of Perceived Risk and Shopping Experiences [J] .Journal of Shanxi University of Finance and Economics, 2011,4, 82-92.
[17] Mantel S P, Kardes F R. The role of direction of comparison, attribute-based processing, and attitude-based processing in consumer preference[J]. Journal of Consumer Research, 1999, 25(4): 335-352.
[18] McKinney V, Yoon K, Zahedi F M. The measurement of web-customer satisfaction: An expectation and disconfirmation approach[J]. Information Systems Research, 2002, 13(3): 296-315.
[19] Oliver R L. A cognitive model of the antecedents and consequences of satisfaction decisions[J]. Journal of Marketing Research, 1980, 17(4): 460-469.
[20] Oliver R L. Cognitive, affective, and attribute bases of the satisfaction response[J]. Journal of Consumer Research, 1993, 20(3): 418-430.
[21] Parasuraman A, Zeithaml V A, Berry L L. A conceptual model of service quality and its implications for future research[J]. Journal of Marketing, 1985, 49(4): 41-50.
[22] Parasuraman A, Zeithaml V A, Berry L L. SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality[J]. Journal of Retailing, 1988, 64(1): 12-40.
[23] Parasuraman A, Zeithaml V A, Malhotra A. ES-QUAL: A multiple-item scale for assessing electronic service quality[J]. Journal of Service Research, 2005, 7(3): 213-233.
[24] Park D H, Kim S. The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews[J]. Electronic Commerce Research and Applications, 2008, 7(4): 399-410.
[25] Ruiz S, Sicilia M. The impact of cognitive and/or affective processing styles on consumer response to advertising appeals[J]. Journal of Business Research, 2004, 57(6): 657-664.
[26] Szymanski D M, Hise R T. E-satisfaction: An initial examination[J]. Journal of Retailing, 2000, 76(3): 309-322.
[27] Wang Hao. Evaluation of Express service quality [D]. Hubei University, 2014.
[28] Wang Zhen. Study on the Construction of Express Delivery Logistics Service Quality Evaluation System Under the B2C Electronic Commerce [D]. Chengdu University of Technology, 2013.
[29] Wei Fuxiang. Service Quality Evaluation and Management [M]. Beijing: People's Posts and Telecommunications Press, 2005.
[30] Wilson E J, Sherrell D L. Source effects in communication and persuasion research: A meta-analysis of effect size[J]. Journal of the Academy of Marketing Science, 1993, 21(2): 101-112.
[31] Wolfinbarger M, Gilly M C. eTailQ: Dimensionalizing, measuring and predicting etail quality[J]. Journal of Retailing, 2003, 79(3): 183-198.
[32] Yang Dazhu. Analysis of Key Factors Influencing Online Customer Experience [J]. Commodities and Quality, 2011, 6, 86-86.
[33] Zeithaml V A, Parasuraman A, Malhotra A. Service quality delivery through web sites: A critical review of extant knowledge[J]. Journal of the Academy of Marketing Science, 2002, 30(4): 362-375.
[34] Zhang Mingli, Fan Hua, Yu Qiuhong. The Connotation, Characteristics and Typology of Customer Value [J]. Management Sciences, 2005, 2, 71-77.
[35] Zhang Sujie. Study on the Formation of Customer Loyalty Based on the Moderation Effect – Take A Large Supermarket in Kunming as Example [D]. Yunnan: Yunnan University of Finance and Economics, 2013.
Cite this article
Fan Lixian, Ye Yuanhui. The Influence of Express Service Quality on Express Brand Satisfaction: Moderating Effect of Customer Experience on E-commerce Environment[J]. Foreign Economics & Management, 2017, 39(12): 140–151.
Export Citations as:
For
ISSUE COVER
RELATED ARTICLES