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A Simulation Model Using Transaction Cost Economics to Analyze the Impact of Social Media on Online Shopping

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Social Informatics (SocInfo 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7710))

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Abstract

In this paper, we have developed an agent-based simulation model to study the influence of social media on consumers’ inclination towards on-line shopping. Social media includes web-based and mobile based technologies which are used to turn communication into interactive dialogue between organizations, communities, and individuals. Building upon the Transaction Cost Economics theory, the objective of our study is to examine the effect of social media on the “perceived transaction cost” of an individual, which determines his/her inclination to buy online. Transaction cost economics (TCE) theoretically explains why a transaction subject favors a particular form of transaction over others. Since purchasing from online stores can be considered a choice between the internet and traditional stores, it is reasonable to assume that consumers will go with the channel that has the lower transaction cost. Using agent-based models, we have studied the rate of adoption of on-line shopping by consumers and found it to be exponential, not linear.

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References

  1. Smith, M.D., Bailey, J., Brynjolfsson, E.: Understanding digital markets: review and assessment. In: Brynjolfsson, E., Kahin, B. (eds.) Understanding the Digital Economy: Data, Tools and Research, MIT Press, Cambridge (1999)

    Google Scholar 

  2. Wigand, R.T.: Electronic commerce: definition, theory, and context. The Information Society 13, 1–16 (1997)

    Article  Google Scholar 

  3. Wang, Z.: Technological Innovation and Market Turbulence: The Dot-Com Experience. Review of Economic Dynamics 10(1) (2007)

    Google Scholar 

  4. Lieber, E., Syverson, C.: Online vs. Offline Competition. Prepared for the Oxford Handbook of the Digital Economy (January 2011)

    Google Scholar 

  5. Zielinski, J., Robertson, T.S., Ward, S.: Consumer behavior. Scott Foresman Series in Marketing (1984)

    Google Scholar 

  6. Antonides, G.: An attempt at integration of economic and psychological theories of consumption. Journal of Economic Psychology 10(1), 77–99 (1989)

    Article  Google Scholar 

  7. Rindfleisch, A., Heide, J.B.: Transaction cost analysis: past, present and future applications. Journal of Marketing 61 (1997)

    Google Scholar 

  8. Williamson, O.E.: Transaction cost economics: the governance of contractual relations. Journal of Law and Economics 22 (1979)

    Google Scholar 

  9. Williamson, O.E.: The economics of organization: the transaction cost approach. American Journal of Sociology 87 (1981)

    Google Scholar 

  10. Williamson, O.E.: The Economic Institutions of Capitalism: Firms, Markets, Relational Contracting. The Free Press, New York (1985)

    Google Scholar 

  11. Teo, T.S.H., Wang, P., Leong, H.C.: Understanding online shopping behaviour using a transaction cost economics approach. Int. J. Internet Marketing and Advertising 1(1) (2004)

    Google Scholar 

  12. Tesfatsion, L.: Agent-based Computational Economics (ACE) (2005), http://www.econ.iastate.edu/tesfatsi/ace.htm

  13. Paul, T., Cadman, R.: Agent-based modeling of customer behavior in the telecoms and media markets. Info. 4(1) (2002)

    Google Scholar 

  14. Ben Said, L., Drogoul, A., Bouron, T.: Multi-Agent Based Simulation of Consumer Behaviour: Towards a New Marketing Approach. In: Ghassemi, F., Post, D.A., Sivapalan, M., Vertessy, R. (eds.) MODSIM 2001 International Congress on Modelling and Simulation, vol. 1, pp. 71–76. Modelling and Simulation Society of Australia and New Zealand (2001)

    Google Scholar 

  15. Sallach, D., Macal, C.: The simulation of social agents: an introduction. Social Science Computer Review 19(3), 245–248 (2001)

    Article  Google Scholar 

  16. Macal, C.M., North, M.J.: Tutorial on Agent-Based Modeling and Simulation Part 2: How to Model with Agents. In: Proceedings of the IEEE 2006 Winter Simulation Conference, Monterey, CA, December 3-6 (2006)

    Google Scholar 

  17. North, M.J., et al.: Multiscale Agent-Based Consumer Market Modeling. Complexity 15(5), 37–47 (2010)

    Google Scholar 

  18. Darrell, R. (2011). The future of shopping. Harvard Business Review (December 1, 2011)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Mukherjee, A., Banerjee, S., Bandyopadhyay, S. (2012). A Simulation Model Using Transaction Cost Economics to Analyze the Impact of Social Media on Online Shopping. In: Aberer, K., Flache, A., Jager, W., Liu, L., Tang, J., Guéret, C. (eds) Social Informatics. SocInfo 2012. Lecture Notes in Computer Science, vol 7710. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35386-4_4

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  • DOI: https://doi.org/10.1007/978-3-642-35386-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35385-7

  • Online ISBN: 978-3-642-35386-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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