Purposeful empiricism: How stochastic modeling informs industrial marketing research

Article English OPEN
McCabe, James ; Stern, Philip ; Dacko, Scott G. (2013)
  • Publisher: Elsevier BV
  • Journal: Industrial Marketing Management (issn: 0019-8501, vol: 42, pp: 421-432)
  • Related identifiers: doi: 10.1016/j.indmarman.2013.02.011
  • Subject: Marketing | HD28 | HB | HF

It is increasingly recognized that progress can be made in the development of integrated theory for understanding, explaining and better predicting key aspects of buyer–seller relationships and industrial networks by drawing upon non-traditional research perspectives and domains. One such non-traditional research perspective is stochastic modeling which has shown that large scale regularities emerge from the individual interactions between idiosyncratic actors. When these macroscopic patterns repeat across a wide range of firms, industries and business types this commonality suggests directions for further research which we pursue through a differentiated replication of the Dirichlet stochastic model. We demonstrate predictable behavioral patterns of purchase and loyalty in two distinct industrial markets for components used in critical surgical procedures. This differentiated replication supports the argument for the use of stochastic modeling techniques in industrial marketing management, not only as a management tool but also as a lens to inform and focus research towards integrated theories of the evolution of market structure and network relationships.
  • References (66)
    66 references, page 1 of 7

    Anderson, J. C., Håkansson, H., & Johanson, J. (1994). Dyadic business relationships within a business network context. Journal of Marketing, 58(4), 1-15.

    Araujo, L. (2007). Markets, market-making and marketing. Marketing Theory, 7(3), 211-226.

    Autry, C. W., & Golicic, S. L. (2010). Evaluating buyer-supplier relationship-performance spirals: A longitudinal study. Journal of Operations Management, 28(2), 87-100.

    Bakker, E., Walker, H., & Harland, C. (2006). Organising for collaborative procurement: An initial conceptual framework. In K. Thai, & G. Piga (Eds.), Advancing public procurement: practices, innovation and knowledge-sharing. Boca Raton, FL: Academic Press.

    Bowman, D., & Lele-Pingle, S. (1997). Buyer behavior in business-to-business services: The case of Foreign Exchange. International Journal of Research in Marketing, 14(5), 499-508.

    Brennan, R. (2006). Evolutionary economics and the markets-as-networks approach. Industrial Marketing Management, 35(7), 829-838.

    Chang, S. W. (2009). Health information technology as a tool, not an end. Archives of Internal Medicine, 169(16), 1474-1475.

    Chapman, T. L., Gupta, A., & Mango, P. D. (1998). Group purchasing is not a panacea for US hospitals. The McKinsey Quarterly, 1, 160-165.

    Cunningham, M. T. (1980). International marketing and purchasing of industrial goods - Features of a European research project. European Journal of Marketing, 14(5/6), 322-328.

    Dacko, S. G. (2008). The advanced dictionary of marketing: putting theory to use. Oxford: Oxford University Press.

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