Service Quality Measurement and Competition Strategy Analysis of Online Shopping

Authors

  • Chia-Huei Wu Institute of Service Industries and Management, Minghsin University of Science Technology, Hsinchu 300, Taiwan

DOI:

https://doi.org/10.30564/mmpp.v2i1.1331

Abstract

E-Commerce refers to such business behavior as conducting trades on a virtual network through the Internet. The core elements contributing to the success of online stores include not only the web-based presentation and the low-price strategy but the quality of online service as well. Importance-Performance Analysis is a method frequently used to evaluate performance and analyze competition strategies. Using IPA, this study analyzed and investigated the service quality of the online shopping of a case company and proposed 10 indexes to measure the service quality of online shopping. a number of suggestions on competition strategies were provided for the case company to improve its competition strategies.

Keywords:

Online shopping; Importance-Performance Analysis Model; Service quality; Competition strategy

References

[1] Zwass, V.. Electronic commerce: structures and issues. International Journal of Electronic Commerce, 1991, 1(1), 3-23.

[2] Koleser, M.B., & Galbraith, R.W.. A services-marketing perspective on e-retailing: Implications for e-retailers and directions for further research. Internet Research: Electronic Networking Applications and Policy, 2000, 10(5), 424-438.

[3] Zeithaml, V.A., Parasuraman, A., & Malhotra, A.. Service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academic of Marketing Science, 2002, 20(4), 362-375.

[4] Rust, R.T., & Kannan, P.K.. E-Service: A new paradigm for business in the electronic environment. Communication of the ACM, 2003, 46(6), 37-42.

[5] Wymbs, C.. How electronic commerce is transforming and internationalizing the service Industries. Journal of Services Marketing, 2000, 14(6), 463-479.

[6] Zeithaml, V.A., Parasuraman, A., & Malhotra, A.. Service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academic of Marketing Science, 2002, 20(4), 362-375.

[7] Parasuraman, A., Zeithaml, V.A., & Malhotra, A.. E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 2005, 7(3), 213-233.

[8] Martilla, J. A. & James, J. C.. Importance-Performance Analysis. Journal of Marketing, 1977, 41 (1), 77-79.

[9] Guo, J.J. and Tsai, S.B.. Discussing and Evaluating Green Supply Chain Suppliers: A Case Study of the Printed Circuit Board Industry in China. South African Journal of Industrial Engineering, 2015, 26(2), 56-67.

[10] Tsai, S.B., Huang, C.Y., Wang, C.K., Chen, Q., et al. 2016. Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries. Plos One, 2016, 11(5): e0154071. DOI: https://doi.org/10.1371/journal.pone.0154071

[11] Martilla, J. A. & James, J. C.. Importance-Performance Analysis. Journal of Marketing, 1977, 41(1), 77-79.

[12] Lee, Y.C., Chu, W.H., Chen, Q., Tsai, S.B., et al.. Integrating DEMATEL Model and Failure Mode and Effects Analysis to Determine the Priority in Solving Production Problems. Advances in Mechanical Engineering, 2016, 8(4), 1-12.

[13] Tsai, S.B., Xue, Y., Zhang, J., Chen, Q., et al.. Models for Forecasting Growth Trends in Renewable Energy. Renewable & Sustainable Energy Reviews, 2016. DOI: https://doi.org/10.1016/j.rser.2016.06.001

[14] Qu, Q., Chen, K.Y., Wei, Y.M., et al.. Using Hybrid Model to Evaluate Performance of Innovation and Technology Professionals in Marine Logistics Industry Mathematical Problems in Engineering, 2015, Article ID 361275, 8 pages, DOI: http://doi. org/10.1155/2015/361275

[15] Zhou, J. Wang, Q., Tsai, S.B., et al. 2016. How to Evaluate the Job Satisfaction of Development Personnel. IEEE Transactions On Systems Man Cybernetics-Systems, 2016. DOI: https://doi.org/10.1109/TSMC.2016.2519860

[16] Tsai, S.B., Li, G., Wu, C.H., Zheng, Y., et al.. An empirical research on evaluating banks’ credit assessment of corporate customers. SpringerPlus, 2016, 5, 2088. DOI: https://doi.org/10.1186/s40064-016-3774-0

[17] Su, J. M., Lee, S. C., Tsai, S. B. & Lu, T. L.. A comprehensive survey of the relationship between self-efficacy and performance for the governmental auditors. SpringerPlus, 2016, 5, 508. DOI: https://doi.org/10.1186/s40064-016-2104-x

[18] Huang, L.. A Cultural Model of Online Banking Adoption: Long-Term Orientation Perspective. Journal of Organizational and End User Computing, 2017, 29(1), 1-22.

[19] Tsai, S.B., Chen, K.Y., Zhao, H., Wei, Y.M., et al.. Using a Mixed Model to Explore Evaluation Criteria for Bank Supervision: A Banking Supervision Law Perspective. PLoS ONE, 2016, 11(12): e0167710. DOI: https://doi.org/10.1371/journal.pone.0167710

[20] Chen, H.M., Wu, C.H., Tsai, S.B., Yu, J., et al. 2016. Exploring key factors in online shopping with a hybrid model. SpringerPlus, 2016, 5, 2046. DOI: https://doi.org/10.1186/s40064-016-3746-4

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How to Cite

Wu, C.-H. (2020). Service Quality Measurement and Competition Strategy Analysis of Online Shopping. Macro Management & Public Policies, 2(1), 28–32. https://doi.org/10.30564/mmpp.v2i1.1331

Issue

Article Type

Review