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Effect of Online Shopping Credit Evaluation on Customer Purchase Risk: Logistics Service as a Mediator

Received: 12 March 2021     Accepted: 22 March 2021     Published: 30 March 2021
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Abstract

With the rapid popularization of the Internet in China and equally rapid development of e-commerce, an increasing number of individuals prefer the C2C e-commerce platform for shopping. Sellers’ credit evaluation is one of the important reference values of buyers’ online shopping. As the quality of the credit evaluation affects the purchase risks of customers, the C2C e-commerce credit evaluation of online shopping and the purchase risk of customers are studied. This study divides the purchase risk of customers into six dimensions, namely, store risk, product risk, money risk, distribution risk, time risk, and security risk. The effect of C2C credit evaluation on the purchase risk of consumers is then discussed. Subsequently, the effects of the C2C credit rating system and customer purchase risk on the purchase intention of customers are further explored. Furthermore, logistics services, as an important part of C2C e-commerce transactions, are analyzed as a mediator in this research. This study uses regression analysis to test the research hypotheses. Results corroborate that improving the credit evaluation of online shopping can reduce the purchase risk of customers. Logistics service has mediating effects on the credit evaluation of online shopping and the purchase risk of customers. The latter can be reduced through logistics service, thereby further increasing the purchase intention of customers. Among the dimensions of customer purchase risk, product risk, money risk, delivery risk, and time risk are the most significant factors affecting the purchase intention of customers. Increasing the purchase intention of customers by reducing these four risks is possible. The logistics service affects the purchase risk and intentions of customers as well. The mediating effect reduces the purchase risk of customers and improves the ability of logistics service to increase the purchase intention of customers. Moreover, improving credit evaluation can enhance the purchase intention of customers. Logistics service has a mediating effect on the credit evaluation of online shopping and purchase intention of customers. That is, improving the credit evaluation of online shopping can improve the logistics service, thereby increasing the purchase intention of customers. On the basis of these conclusions, this study provides sellers and logistics service providers with constructive suggestions to improve the C2C e-commerce platform.

Published in American Journal of Theoretical and Applied Business (Volume 7, Issue 1)
DOI 10.11648/j.ajtab.20210701.13
Page(s) 16-29
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Credit Evaluation, Purchase Risk, Purchase Intention, Logistics Service, Mediating Effect

References
[1] Yu, L., and Li, Y. J. (2016). Dilemma and Breakthrough of C2C E-commerce Credit Evaluation System. Knowledge Management Forum, 1 (02), 114-123.
[2] China Internet Network Information Center. (2018). The 41st Statistical Report on Internet Development in China. Available at: http://www.cac.gov.cn/2018-01/31/c_1122347026.htm [Accessed 1, 31, 2018].
[3] China Internet Network Information Center. (2016). Research Report on China's Online Shopping Market in 2015. Available at: http://www.cac.gov.cn/files/pdf/cnnic/2015wangluogouwu.pdf[Accessed 6, 24, 2016].
[4] China e-Business Research Center. (2017). China E-commerce User Experience and Complaint Monitoring Report in 2017 (Part one). Available at: http://www.100ec.cn/zt/17tsjc/, [Accessed 8, 21, 2017].
[5] Yao, H. L. (2016). Problems in the Process of C2C Credit Information Evaluation and the Countermeasures. Harbin, Heilongjiang University.
[6] Ji, W. J. (2013). Research on the Factors Influencing Online Consumers' Purchase Willingness. Jinan, Shandong University.
[7] Jing, M., and Zhou, Y. (2005). Study on Online Consumer Behavior Based on TAM and Perceived Risk. Shanghai Management Science, 5, 5-7.
[8] Pavlou, P. A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7 (3), 101-134.
[9] Han, S. G., Wu, J., and Chen, Q. (2016). Research on Index System of Logistics Service Quality Evaluation of Fresh Product E-commerce. Journal of Zhejiang Institute of Science and Technology, 36 (2), 138-143.
[10] Ye, N. Y., and Zhou, D. (2014). Conceptualization and Measurement Modeling of Consumer's Perceived Risk in Online Shopping. Journal of Industrial Engineering and Engineering Management, 28 (4), 88-94.
[11] Bauer, R. (1967). Consumer Behavior as Risk Taking. In: Cox, D. (Ed.), Risk Taking and Information Handling in Consumer Behavior. Cambridge, Mass, Harvard University Press.
[12] Engel, J. F. (1968). Risk Taking and Information Handling in Consumer Behavior. Journal of Marketing, 32 (3), 24-29.
[13] Hofacker, C. F., and Murphy, J. (1998). World Wide Web Banner Advertisement Copy Testing. European Journal of Marketing, 32 (7/8), 703-712.
[14] O'Mara, K., Cort, K., and Palin, G. A. (2011). Cross-national Empirical Study Investigating the Role of Purchasing Purpose has on the Country-of-origin Effect. International Journal of the Academic Business World, 2 (1), 99.
[15] Kaplan, L. B., Szybillo, G. J., and Jacoby, J. (1974). Components of Perceived Risk in Product Purchase: A Cross-validation. Journal of Applied Psychology, 59 (3), 287-291.
[16] Perraul, W. D., and Russ, F. (1974). Physical Distribution Service: A Neglected Aspect of Marketing Management. MUS Business Topics, 22 (2), 37-45.
[17] Mentzer, J. T., Gomes, R., and Krapfel, R. E. (1989). Physical distribution service: A Fundamental Marketing Concept. Journal of the Academy of Marketing Science, 17 (1), 53-62.
[18] Chen, L. (2012). Discussion on C2C Electronic Commerce Model. Shangqing, 51, 141-141.
[19] Garretson, J. A., and Clow, K. E. (1999). The Influence of Coupon Face Value on Service Quality Expectations, Risk Perceptions and Purchase Intentions in the Dental Industry. The Journal of Services Marketing, 13 (1), 59-72.
[20] Wu, K. W., Zhao, Y. X, and Zhu, Q. H. (2010). Review on Evaluation of Seller's Reputation in C2C, Online Market. Library and Information Service, 54 (14), 136-139+101.
[21] Liu, Y. W. (2009). The Effects of Reputation Systems in Online Marketplaces. Hefei, University of Science and Technology of China.
[22] Yu, B. Q., Wu, S. P., and Du, G. W. (2014). Branch Model Simulation for Express Logistics Service System Evaluation under Online Shopping. Chinese Journal of Management Science, 22 (12), 72-78.
[23] He, Y. Y., and Lv, Y. W. (2012). The Practical Research on the Influencing Factors of Logistic Service Quality and Customer Loyalty. China Business and Market, 26 (7), 79-82.
[24] Tang, H. (2013). The Research of Credit Evaluation System Based on Taobao C2C Payment Option. Shanghai, Shanghai University.
[25] MacKinnon, D. P. (2008). Introduction to Statistical Mediation Analysis. New York, Lawrence Erlbaum Associate.
[26] Sobel, M. E. (1982). Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models. Sociological methodology, 13, 290-312.
[27] Wang, Y. C., Wu, C. L., and Lee, Y. M. (2014). Development of the Work-Family Strength Scale for Working Parents in Taiwan. Chinese Journal of Guidance and Counseling, 41, 57-92.
[28] Lin, C. L., and Lin, M. J. (2007). The Validity and Reliability of Chinese Version of Loneliness Scale-The Example of the Elderly. The Journal of Guidance & Counseling, 29 (2), 41-50.
[29] DeVellis, R. F. (1991). Scale development: Theory and applications. London, Sage Publications.
Cite This Article
  • APA Style

    Ching Kuei Kao, Zhao Ni Chen, Peng Jung Lin. (2021). Effect of Online Shopping Credit Evaluation on Customer Purchase Risk: Logistics Service as a Mediator. American Journal of Theoretical and Applied Business, 7(1), 16-29. https://doi.org/10.11648/j.ajtab.20210701.13

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    ACS Style

    Ching Kuei Kao; Zhao Ni Chen; Peng Jung Lin. Effect of Online Shopping Credit Evaluation on Customer Purchase Risk: Logistics Service as a Mediator. Am. J. Theor. Appl. Bus. 2021, 7(1), 16-29. doi: 10.11648/j.ajtab.20210701.13

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    AMA Style

    Ching Kuei Kao, Zhao Ni Chen, Peng Jung Lin. Effect of Online Shopping Credit Evaluation on Customer Purchase Risk: Logistics Service as a Mediator. Am J Theor Appl Bus. 2021;7(1):16-29. doi: 10.11648/j.ajtab.20210701.13

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  • @article{10.11648/j.ajtab.20210701.13,
      author = {Ching Kuei Kao and Zhao Ni Chen and Peng Jung Lin},
      title = {Effect of Online Shopping Credit Evaluation on Customer Purchase Risk: Logistics Service as a Mediator},
      journal = {American Journal of Theoretical and Applied Business},
      volume = {7},
      number = {1},
      pages = {16-29},
      doi = {10.11648/j.ajtab.20210701.13},
      url = {https://doi.org/10.11648/j.ajtab.20210701.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtab.20210701.13},
      abstract = {With the rapid popularization of the Internet in China and equally rapid development of e-commerce, an increasing number of individuals prefer the C2C e-commerce platform for shopping. Sellers’ credit evaluation is one of the important reference values of buyers’ online shopping. As the quality of the credit evaluation affects the purchase risks of customers, the C2C e-commerce credit evaluation of online shopping and the purchase risk of customers are studied. This study divides the purchase risk of customers into six dimensions, namely, store risk, product risk, money risk, distribution risk, time risk, and security risk. The effect of C2C credit evaluation on the purchase risk of consumers is then discussed. Subsequently, the effects of the C2C credit rating system and customer purchase risk on the purchase intention of customers are further explored. Furthermore, logistics services, as an important part of C2C e-commerce transactions, are analyzed as a mediator in this research. This study uses regression analysis to test the research hypotheses. Results corroborate that improving the credit evaluation of online shopping can reduce the purchase risk of customers. Logistics service has mediating effects on the credit evaluation of online shopping and the purchase risk of customers. The latter can be reduced through logistics service, thereby further increasing the purchase intention of customers. Among the dimensions of customer purchase risk, product risk, money risk, delivery risk, and time risk are the most significant factors affecting the purchase intention of customers. Increasing the purchase intention of customers by reducing these four risks is possible. The logistics service affects the purchase risk and intentions of customers as well. The mediating effect reduces the purchase risk of customers and improves the ability of logistics service to increase the purchase intention of customers. Moreover, improving credit evaluation can enhance the purchase intention of customers. Logistics service has a mediating effect on the credit evaluation of online shopping and purchase intention of customers. That is, improving the credit evaluation of online shopping can improve the logistics service, thereby increasing the purchase intention of customers. On the basis of these conclusions, this study provides sellers and logistics service providers with constructive suggestions to improve the C2C e-commerce platform.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Effect of Online Shopping Credit Evaluation on Customer Purchase Risk: Logistics Service as a Mediator
    AU  - Ching Kuei Kao
    AU  - Zhao Ni Chen
    AU  - Peng Jung Lin
    Y1  - 2021/03/30
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ajtab.20210701.13
    DO  - 10.11648/j.ajtab.20210701.13
    T2  - American Journal of Theoretical and Applied Business
    JF  - American Journal of Theoretical and Applied Business
    JO  - American Journal of Theoretical and Applied Business
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    EP  - 29
    PB  - Science Publishing Group
    SN  - 2469-7842
    UR  - https://doi.org/10.11648/j.ajtab.20210701.13
    AB  - With the rapid popularization of the Internet in China and equally rapid development of e-commerce, an increasing number of individuals prefer the C2C e-commerce platform for shopping. Sellers’ credit evaluation is one of the important reference values of buyers’ online shopping. As the quality of the credit evaluation affects the purchase risks of customers, the C2C e-commerce credit evaluation of online shopping and the purchase risk of customers are studied. This study divides the purchase risk of customers into six dimensions, namely, store risk, product risk, money risk, distribution risk, time risk, and security risk. The effect of C2C credit evaluation on the purchase risk of consumers is then discussed. Subsequently, the effects of the C2C credit rating system and customer purchase risk on the purchase intention of customers are further explored. Furthermore, logistics services, as an important part of C2C e-commerce transactions, are analyzed as a mediator in this research. This study uses regression analysis to test the research hypotheses. Results corroborate that improving the credit evaluation of online shopping can reduce the purchase risk of customers. Logistics service has mediating effects on the credit evaluation of online shopping and the purchase risk of customers. The latter can be reduced through logistics service, thereby further increasing the purchase intention of customers. Among the dimensions of customer purchase risk, product risk, money risk, delivery risk, and time risk are the most significant factors affecting the purchase intention of customers. Increasing the purchase intention of customers by reducing these four risks is possible. The logistics service affects the purchase risk and intentions of customers as well. The mediating effect reduces the purchase risk of customers and improves the ability of logistics service to increase the purchase intention of customers. Moreover, improving credit evaluation can enhance the purchase intention of customers. Logistics service has a mediating effect on the credit evaluation of online shopping and purchase intention of customers. That is, improving the credit evaluation of online shopping can improve the logistics service, thereby increasing the purchase intention of customers. On the basis of these conclusions, this study provides sellers and logistics service providers with constructive suggestions to improve the C2C e-commerce platform.
    VL  - 7
    IS  - 1
    ER  - 

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Author Information
  • Key Laboratory of LNG Industry Chain, School of Transportation, Fujian University of Technology, Fuzhou City, China

  • Department of Logistics Management, School of Business, Beijing Institute of Technology, Zhuhai City, China

  • Department of Business Administration, School of Internet Economics and Business, Fujian University of Technology, Fuzhou City, China

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