Behind
the fast development of online shopping market in China, there are the risk of
bankruptcy and development dilemma caused by huge loss. This paper suggests
that they should take improving logistics service quality as short-term goal,
and appearing on the stock market as middle-term goal. By transferring a part
of capital from pricing strategy and promoting strategy to logistics department,
the logistics service quality could be greatly improved though with little
profit or even loss. This could attract customers, enlarge sales and market
shares, and finally attracting venture capital fund and realizing listing
strategy successfully. This strategy is based on the principle of systematic
optimization and called listing oriented logistics service strategy. Finally,
this paper analyzes the acceptance of this listing oriented logistics service
strategy with TAM model for large-sized transactional shopping websites, it
would be increased with the pressure of fierce market competition as well as
increased customer needs.
References
[1]
China Internet Network Information Center (2012) China Online Shopping Market Research Report.
[2]
China Internet Network Information Center (2015) China Online Shopping Market Research Report.
[3]
China Internet Network Information Center (2013) China Online Shopping Market Research Report.
[4]
Lai, M., Zhao, K. and Han, S. (2010) Needs and Present Condition of Online Scholarly Communication Service in China. International Conference on Management and Service Science, Wuhan, 24-26 August 2010, 1-7.
[5]
Couceiro, M. and Marichal, J.L. (2007) Research on Evaluation Index System of Logistics Enterprise’s Service Quality. Logistics Technology, 161, 694-707.
[6]
Yuan, X. and Grant, D.B. (2006) Developing a Framework for Measuring Physical Distribution Service Quality of Multi-Channel and “Pure Player” Internet Retailers. International Journal of Retail & Distribution Management, 34, 278-289.
https://doi.org/10.1108/09590550610660233
[7]
Weisstein, F.L., Kukar-Kinney, M. and Monroe, M.B. (2016) Determinants of Consumers’ Response to Pay-What-You-Want Pricing Strategy on the Internet. Journal of Business Research, 69, 4313-4320. https://doi.org/10.1016/j.jbusres.2016.04.005
[8]
Venkatesh, V. and Davis, F.D. (2000) A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
[9]
Ottosson, M. and Kindstorm, D. (2016) Exploring Proactive Niche Market Strategies in the Steel Industry: Activities and Implications. Industrial Marketing Management, 55, 119-130. https://doi.org/10.1016/j.indmarman.2015.08.003
[10]
Davis, F. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-341.
https://doi.org/10.2307/249008
[11]
Mishra, D., Akman, I. and Mishra, A. (2014) Theory of Reasoned Action Application for Green Information Technology Acceptance. Computers in Human Behavior, 36, 29-40. https://doi.org/10.1016/j.chb.2014.03.030
[12]
Saeri, A.K., Ogilvie, C. and La Macchia, S.T. (2014) Predicting Facebook Users’ Online Privacy Protection: Risk, Trust, Norm Focus Theory, and the Theory of Planned Behavior. Journal of Social Psychology, 154, 352-369.
https://doi.org/10.1080/00224545.2014.914881
