IDEAS home Printed from https://ideas.repec.org/p/diw/diwwpp/dp323.html
   My bibliography  Save this paper

B2C eCommerce Strategy and Market Structure: The Survey Based Approach

Author

Listed:
  • Stefan W. Schmitz
  • Paul Peter Sint

Abstract

This paper follows two objectives: (i) It demonstrates the merits of the survey based approach to B2C eCommerce characteristics and company strategy, and (ii) it presents empirical evidence of the crucial importance of size and marketing investment in B2C eCommerce markets. It presents econometric estimates of the effects of company characteristics and company strategies on the performance of Viennese B2C eCommerce companies in 2001. We provide econometric analysis of three dependent variables in turn: (i) number of B2C eCommerce customers in 2000, (ii) number of B2C eCommerce employees in January 2001 and (iii) revenue growth rate in 2001. The models do explain the data quite well: Size as well as endogenous sunk costs emerge as the main success factors. Furthermore, the results of nonparametric tests are presented. They mostly confirm the econometric evidence. We also show that the quantitative results are consistent with the qualitative results of the surveys. Finally, we argue that the survey based approach to B2C eCommerce is a method that provides reliable and consistent data, and that it complements the approach based on prices and consumer behavior commonly applied.

Suggested Citation

  • Stefan W. Schmitz & Paul Peter Sint, 2003. "B2C eCommerce Strategy and Market Structure: The Survey Based Approach," Discussion Papers of DIW Berlin 323, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp323
    as

    Download full text from publisher

    File URL: https://www.diw.de/documents/publikationen/73/diw_01.c.40219.de/dp323.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Baylis, Kathy & Perloff, Jeffrey M., 2001. "Price Dispersion on the Internet: Good Firms and Bad Firms," Institute for Research on Labor and Employment, Working Paper Series qt2t0770rn, Institute of Industrial Relations, UC Berkeley.
    2. Yannis Bakos, 2001. "The Emerging Landscape for Retail E-Commerce," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 69-80, Winter.
    3. Severin Borenstein & Garth Saloner, 2001. "Economics and Electronic Commerce," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 3-12, Winter.
    4. Baylis, Kathy & Perloff, Jeffrey M., 2001. "Price Dispersion on the Internet: Good Firms and Bad Firms," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2t0770rn, Department of Agricultural & Resource Economics, UC Berkeley.
    5. Kathy Baylis & Jeffrey Perloff, 2002. "Price Dispersion on the Internet: Good Firms and Bad Firms," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 21(3), pages 305-324, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefan W. Schmitz & Michael Latzer, 2002. "Competition in B2C eCommerce: Analytical Issues and Empirical Evidence," Industrial Organization 0211001, University Library of Munich, Germany.
    2. Gerard J. Berg, 2006. "Revolutionary Effects of New Information Technologies," Economic Journal, Royal Economic Society, vol. 116(509), pages 10-28, February.
    3. Michael A. Arnold & Christine Saliba, 2003. "Price Dispersion in Online Markets: The Case of College Textbooks," Working Papers 03-02, University of Delaware, Department of Economics.
    4. Stephen McDonald & Colin Wren, 2017. "Consumer Search Ability, Price Dispersion and the Digital Divide," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(2), pages 234-250, April.
    5. Bernd Jost, 2012. "Price Dispersion, Search Costs and Spatial Competition: Evidence from the Austrian Retail Gasoline Market," NEURUS papers neurusp166, NEURUS - Network of European and US Regional and Urban Studies.
    6. Giovanni Mastrobuoni, 2004. "The Effects of the Euro-Conversion on Prices and Price Perceptions," Working Papers 101, Princeton University, Department of Economics, Center for Economic Policy Studies..
    7. Lindgren, Charlie, 2021. "Discontinuities: What is the value of having the lowest price or highest consumer rating on a price comparison website?," HFI Working Papers 19, Institute of Retail Economics (Handelns Forskningsinstitut).
    8. Böheim, René & Hackl, Franz & Hölzl-Leitner, Michael, 2021. "The impact of price adjustment costs on price dispersion in e-commerce," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    9. Michael R. Baye & John Morgan, 2009. "Brand and Price Advertising in Online Markets," Management Science, INFORMS, vol. 55(7), pages 1139-1151, July.
    10. Anania, Giovanni & Nisticò, Rosanna, 2014. "Price dispersion and seller heterogeneity in retail food markets," Food Policy, Elsevier, vol. 44(C), pages 190-201.
    11. Nikolai Bazenkov & Elena Glamozdina & Maria Kuznetsova & Marina Sandomirskaia, 2019. "Price Dispersion In Internet Sales: Data From An Online Marketplace Contradict Lab Experiments," HSE Working papers WP BRP 219/EC/2019, National Research University Higher School of Economics.
    12. repec:smu:ecowpa:1301 is not listed on IDEAS
    13. Zehao Chen & Yanchen Zhu & Tianyang Shen & Yufan Ye, 2022. "RETRACTED ARTICLE: The optimal pricing strategy to evaluate the reputations of sellers in online platforms using the game theory model," Operations Management Research, Springer, vol. 15(3), pages 953-964, December.
    14. Anania, Giovanni & Nistico, Rosanna, 2012. "Price dispersion, search costs and consumers and sellers heterogeneity in retail food markets," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125594, International Association of Agricultural Economists.
    15. Zhenlin Yang & Lydia Gan & Fang-Fang Tang, 2007. "A Study of Pricing Evolution in the Online Toy Market," Economic Growth Centre Working Paper Series 0704, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    16. Jaume Rosselló Nadal & Antoni Riera Font, 2008. "Pricing on the European Mass Tourism Market: Tour Operators, Low Cost Carriers and Internet," CRE Working Papers (Documents de treball del CRE) 2008/4, Centre de Recerca Econòmica (UIB ·"Sa Nostra").
    17. Zehao Chen & Yanchen Zhu & Tianyang Shen & Yufan Ye, 2021. "Reputation dependent pricing strategy: analysis based on a Chinese C2C marketplace," Papers 2109.12477, arXiv.org.
    18. Dhar, Tirtha & Stiegert, Kyle W. & Gould, Brian W., 2002. "Price Dispersion, Search, and Market Power," Working Papers 201549, University of Wisconsin-Madison, Department of Agricultural and Applied Economics, Food System Research Group.
    19. Juan Feng & Xin Li & Xiaoquan (Michael) Zhang, 2019. "Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence," Information Systems Research, INFORMS, vol. 30(4), pages 1107-1123, December.
    20. Ruben Chumpitaz & Kristiaan Kerstens & Nicholas Paparoidamis & Matthias Staat, 2010. "Hedonic price function estimation in economics and marketing: revisiting Lancaster’s issue of “noncombinable” goods," Annals of Operations Research, Springer, vol. 173(1), pages 145-161, January.
    21. Michael R. Baye & John Morgan, 2005. "Probabilistic Patents," Microeconomics 0504004, University Library of Munich, Germany.

    More about this item

    Keywords

    B2C eCommerce; empirical evidence; success factors; endogenous sunk costs;
    All these keywords.

    JEL classification:

    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:diw:diwwpp:dp323. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.