PDF (372.3 KB)
Collect
Submit Manuscript
Open Access

Infra-Marginal Analysis Model for Provision Mode Selection for E-commerce Services

National Engineering Laboratory for E-Commerce Technology, Department of Automation, Tsinghua University, Beijing 100084, China
Show Author Information

Abstract

E-commerce has grown extraordinarily since the emergence of the internet, and many types of services are employed to accelerate this process. Service quality and productivity are two critical indicators to evaluate the competitiveness of e-commerce companies. Deciding which provision mode of e-commerce services (buy, sell, or self-provide) to adopt is a key operational strategy issue. This paper investigates the conditions and limitations of e-commerce services’ optimal supply modes, and proposes a cost oriented infra-marginal model where service demand is considered an exogenous variable due to its non-elastic and unprofitable characteristics. By analyzing the main impact factors of this model, this paper infers provision mode selection strategies, which are determined by four factors: transaction cost, service price, service demand, and competitive advantages. Decision trees are derived from these strategies to help e-commerce companies make appropriate decisions. Finally, the proposed model’s feasibility is verified by two case studies.

References

[1]
V. Zwass, Electronic commerce: Structures and issues, International Journal of Electronic Commerce, vol. 1, no. 1, pp. 3-23, 1996.
[2]
J. B. Taylor, Principles of Microeconomics. Houghton Mifflin Harcourt (HMH), 1998.
[3]
A. Ghoseand S. Yang, An empirical analysis of search engine advertising: Sponsored search in electronic markets, Management Science, vol. 55, no. 10, pp. 1605-1622, 2009.
[4]
X. Yang, A microeconomic approach to modeling the division of labor based on increasing returns to specialization, PhD Dissertation, Princeton University, Princeton, USA, 1988.
[5]
W. Chengand X. Yang, Inframarginal analysis of division of labor: A survey, Journal of Economic Behavior and Organization, vol. 55, no. 2, pp. 137-174, 2004.
[6]
R. T. Rustand M. H. Huang, Optimizing service productivity, Journal of Marketing, vol. 76, no. 2, pp. 47-66, 2012.
[7]
H. W. Zhou, The division of labor and the extent of the market, Economic Theory, vol. 24, no. 1, pp. 195-209, 2004.
[8]
H. R. Varian, The nonparametric approach to production analysis, Econometrica, vol. 52, no. 3, pp. 579-597, 1984.
[9]
E. W. Anderson, C. Fornell, and D. R. Lehmann, Customer satisfaction, market share, and profitability: Findings from Sweden, Journal of Marketing, vol. 58, no. 3, pp. 53-66, 1994.
[10]
R. T. Rust, C. Moorman, and P. R. Dickson, Getting return on quality: Revenue expansion, cost reduction, or both, Journal of Marketing, vol. 66, no. 4, pp. 7-24, 2002.
[11]
A. Calabrese, Service productivity and service quality: A necessary trade-off, International Journal of Production Economics, vol. 135, no. 2, pp. 800-812, 2012.
[12]
C. Gronroosand K. Ojasalo, Service productivity— Towards a conceptualization of the transformation of inputs into economic results in services, Journal of Business Research, vol. 57, no. 4, pp. 414-423, 2004.
[13]
R. T. Rustand P. K. Kannan, E-service: A new paradigm for business in the electronic environment, Communications of the ACM, vol. 46, no. 6, pp. 36-42, 2003.
[14]
M. Goldmanis, A. Hortacsu, C. Syverson, and O. Emre, E-commerce and the market structure of retail industries, Economic Journal, vol. 120, no. 545, pp. 651-682, 2010.
[15]
E. Rabinovich, A. M. Knemeyer, and C. M. Mayer, Why do internet commerce firms incorporate logistics service providers in their distribution channels? The role of transaction costs and network strength, Journal of Operations Management, vol. 25, no. 3, pp. 661-681, 2007.
[16]
C. Gaimonand J. C. Ho, Uncertainty and the acquisition of capacity—A competitive analysis, Computers & Operations Research, vol. 21, no. 10, pp. 1073-1088, 1994.
[17]
L. L. Berry, A. Parasuraman, and V. A. Zeithaml, The service-quality puzzle, Business Horizons, vol. 31, no. 5, pp. 35-43, 1988.
[18]
J. Borland and X. Yang, Specialization and a new approach to economic organization and growth, American Economic Review, vol. 82, no. 2, pp. 386-391, 1992.
[19]
B. Powell, China’s new e-commerce star, Fortune, vol. 164, no.6, pp. 66-68, 2011.
Tsinghua Science and Technology
Pages 174-183
Cite this article:
Yu X, Chai Y, Liu Y, et al. Infra-Marginal Analysis Model for Provision Mode Selection for E-commerce Services. Tsinghua Science and Technology, 2014, 19(2): 174-183. https://doi.org/10.1109/TST.2014.6787371
Metrics & Citations  
Article History
Copyright
Return