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Deviation Among Technology Reviews: An Informative Enrichment of Technology Evolution Theory for Marketing

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  • Sood, A.
  • Stremersch, S.

Abstract

Understanding technological change is of critical importance to marketers, as it bears new markets, new brands, new customers, and new market leaders. This paper examines the deviation among reviews of a technology’s performance and its consequences for inferences on technology evolution patterns. The basic premise of the current paper is that technology evolution literature, while highly relevant, is misguided in that it ignores potential deviation among technology reviews. Using a comprehensive dataset of all published reviews, both before and after FDA approval, of 7 statins for cholesterol reduction (LDL) from 1982 to 2007, the authors find that: (1) there exists vast deviation among reviews of technology performance leading to systematic bias in the portrayal of the path of technology evolution, especially if one relies only on manufacturer’s claims, (2) such deviation does not fade over time, (3) technology review (study design) characteristics affect the stated performance and, (4) both higher technology performance and a higher deviation affect sales positively, also when one controls for a firm’s marketing expenditures. We discuss the implications of these findings for technology evolution theory, managerial practice and public policy.

Suggested Citation

  • Sood, A. & Stremersch, S., 2010. "Deviation Among Technology Reviews: An Informative Enrichment of Technology Evolution Theory for Marketing," ERIM Report Series Research in Management ERS-2010-005-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:17766
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    References listed on IDEAS

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    Cited by:

    1. Verniers, Isabel & Stremersch, Stefan & Croux, Christophe, 2011. "The global entry of new pharmaceuticals: A joint investigation of launch window and price," International Journal of Research in Marketing, Elsevier, vol. 28(4), pages 295-308.

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    More about this item

    Keywords

    detailing; innovation; marketing; performance; reviews; sales; statins; technology evolution;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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