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Tribute to a marketing legend: Commemorating the contributions of Shelby D. Hunt with implications for the future of marketing

Author

Listed:
  • Donthu, Naveen
  • Marc Lim, Weng
  • Kumar, Satish
  • Pandey, Nitesh

Abstract

Shelby D. Hunt (1939–2022) is widely known as one of the foremost authorities on marketing. To commemorate Professor Hunt’s contributions, this article offers a bibliometric analysis of the scholarly works listed on his Google Scholar and Scopus official profiles. As a result, this article provides empirical evidence that reaffirms Professor Hunt’s status as a highly productive and influential marketing scholar, whose contributions span across seven research programs/themes: philosophy and science of marketing, marketing strategy, relationship marketing, institutionalization of marketing, marketing management, marketing ethics, and resource-advantage theory. The article concludes with a discussion on the implications of Professor Hunt’s contributions to marketing science for the future of marketing.

Suggested Citation

  • Donthu, Naveen & Marc Lim, Weng & Kumar, Satish & Pandey, Nitesh, 2023. "Tribute to a marketing legend: Commemorating the contributions of Shelby D. Hunt with implications for the future of marketing," Journal of Business Research, Elsevier, vol. 164(C).
    • Handle: RePEc:eee:jbrese:v:164:y:2023:i:c:s0148296323003120
    DOI: 10.1016/j.jbusres.2023.113954
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    Citations

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    Cited by:

    1. Weng Siew Lam & Weng Hoe Lam & Pei Fun Lee, 2023. "A Bibliometric Analysis of Digital Twin in the Supply Chain," Mathematics, MDPI, vol. 11(15), pages 1-24, July.
    2. Newaz, Md Tarique & Chandna, Vallari & Dass, Mayukh & Arnett, Dennis, 2023. "Using R-A theory and the optimal distinctiveness perspective to understand the strategic marketing approaches used by platform-based organizations: The cases of Facebook and Twitter in digital ecosyst," Journal of Business Research, Elsevier, vol. 167(C).
    3. Lina Ma & Wanying Zhao & Longzhu Dong & Yushen Du, 2023. "Platforms Competition: An Ecosystem-View Analysis Based on Evolutionary Game Theory," SAGE Open, , vol. 13(4), pages 21582440231, December.

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