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The Theoretical Domains of Retailing Research: A Retrospective

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  • Brown, James R.
  • Dant, Rajiv P.

Abstract

In a previous review article [Brown, James R. and Dant, Rajiv P. (2008a), “Scientific Method and Retailing Research: A Retrospective,”Journal of Retailing, 84 (April), 1–13], we had discussed the substantive domains, the methodological approaches, and the inferential tools that researchers used to test their conceptual frameworks in 164 articles published in the Journal of Retailing during 2002–2007. In this article, we continue this introspective process, by reviewing the theories used in 173 articles published in the Journal of Retailing in the 2004–2009 (to Issue 2) time period, and classifying those theories according to their application to various substantive issues. A total of 119 different theories were used across these 173 articles, which we sub-grouped into twelve broad-based theoretical categories: (1) marketing theories, (2) microeconomic theory, (3) consumer choice theory, (4) social exchange theory, (5) information processing theory, (6) satisfaction theory, (7) reference price theory, (8) competitive theory, (9) attribution theory, (10) other psychological theories for individuals, (11) other social psychological/sociological theories, and (12) other theories. We also examine the methodological approaches and tools used to test those theories. A number of research gaps are identified for future retailing scholarship.

Suggested Citation

  • Brown, James R. & Dant, Rajiv P., 2009. "The Theoretical Domains of Retailing Research: A Retrospective," Journal of Retailing, Elsevier, vol. 85(2), pages 113-128.
  • Handle: RePEc:eee:jouret:v:85:y:2009:i:2:p:113-128
    DOI: 10.1016/j.jretai.2009.04.003
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    Cited by:

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    2. Kenworthy, Thomas P. & Verbeke, Alain, 2015. "The future of strategic management research: Assessing the quality of theory borrowing," European Management Journal, Elsevier, vol. 33(3), pages 179-190.
    3. Kopalle, Praveen K. & Kannan, P.K. & Boldt, Lin Bao & Arora, Neeraj, 2012. "The impact of household level heterogeneity in reference price effects on optimal retailer pricing policies," Journal of Retailing, Elsevier, vol. 88(1), pages 102-114.
    4. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    5. Hsu, Chia-Lin & Chen, Mu-Chen, 2018. "How does gamification improve user experience? An empirical investigation on the antecedences and consequences of user experience and its mediating role," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 118-129.
    6. Kenworthy, Thomas P. & Sparks, John R., 2016. "A scientific realism perspective on scientific progress in marketing: An analysis of theory testing in marketing's major journals," European Management Journal, Elsevier, vol. 34(5), pages 466-474.
    7. Dass, Mayukh & Reddy, Srinivas K. & Iacobucci, Dawn, 2014. "A Network Bidder Behavior Model in Online Auctions: A Case of Fine Art Auctions," Journal of Retailing, Elsevier, vol. 90(4), pages 445-462.
    8. Swoboda, Bernhard & Berg, Bettina & Schramm-Klein, Hanna & Foscht, Thomas, 2013. "The importance of retail brand equity and store accessibility for store loyalty in local competition," Journal of Retailing and Consumer Services, Elsevier, vol. 20(3), pages 251-262.
    9. Rose, Susan & Clark, Moira & Samouel, Phillip & Hair, Neil, 2012. "Online Customer Experience in e-Retailing: An empirical model of Antecedents and Outcomes," Journal of Retailing, Elsevier, vol. 88(2), pages 308-322.

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