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The past, present, and future of measurement and methods in marketing analysis

Author

Listed:
  • Yu Ding

    (Columbia University)

  • Wayne S. DeSarbo

    (Pennsylvania State University)

  • Dominique M. Hanssens

    (University of California, Los Angeles)

  • Kamel Jedidi

    (Columbia University)

  • John G. Lynch

    (University of Colorado-Boulder)

  • Donald R. Lehmann

    (Columbia University)

Abstract

The field of marketing has made significant strides over the past 50 years in understanding how methodological choices affect the validity of conclusions drawn from our research. This paper highlights some of these and is organized as follows: We first summarize essential concepts about measurement and the role of cumulating knowledge, then highlight data and analysis methods in terms of their past, present, and future. Lastly, we provide specific examples of the evolution of work on segmentation and brand equity. With relatively well-established methods for measuring constructs, analysis methods have evolved substantially. There have been significant changes in what is seen as the best way to analyze individual studies as well as accumulate knowledge across them via meta-analysis. Collaborations between academia and business can move marketing research forward. These will require the tradeoffs between model prediction and interpretation, and a balance between large-scale use of data and privacy concerns.

Suggested Citation

  • Yu Ding & Wayne S. DeSarbo & Dominique M. Hanssens & Kamel Jedidi & John G. Lynch & Donald R. Lehmann, 2020. "The past, present, and future of measurement and methods in marketing analysis," Marketing Letters, Springer, vol. 31(2), pages 175-186, September.
  • Handle: RePEc:kap:mktlet:v:31:y:2020:i:2:d:10.1007_s11002-020-09527-7
    DOI: 10.1007/s11002-020-09527-7
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    References listed on IDEAS

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    1. Eric M. Schwartz & Eric T. Bradlow & Peter S. Fader, 2017. "Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments," Marketing Science, INFORMS, vol. 36(4), pages 500-522, July.
    2. Rik Pieters, 2017. "Meaningful Mediation Analysis: Plausible Causal Inference and Informative Communication," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 692-716.
    3. Farley, John U. & Winer, Russell S. & Lehmann, Donald R., 1987. "Stability of membership in market segments identified with a disaggregate consumption model," Journal of Business Research, Elsevier, vol. 15(4), pages 313-328, August.
    4. Maayan S. Malter & Morris B. Holbrook & Barbara E. Kahn & Jeffrey R. Parker & Donald R. Lehmann, 2020. "The past, present, and future of consumer research," Marketing Letters, Springer, vol. 31(2), pages 137-149, September.
    5. Elliot Shin Oblander & Sunil Gupta & Carl F. Mela & Russell S. Winer & Donald R. Lehmann, 2020. "The past, present, and future of customer management," Marketing Letters, Springer, vol. 31(2), pages 125-136, September.
    6. Kamel Jedidi & Harsharanjeet S. Jagpal & Wayne S. DeSarbo, 1997. "Finite-Mixture Structural Equation Models for Response-Based Segmentation and Unobserved Heterogeneity," Marketing Science, INFORMS, vol. 16(1), pages 39-59.
    7. Travis Tae Oh & Kevin Lane Keller & Scott A. Neslin & David J. Reibstein & Donald R. Lehmann, 2020. "The past, present, and future of brand research," Marketing Letters, Springer, vol. 31(2), pages 151-162, September.
    8. Sibel Sozuer & Gregory S. Carpenter & Praveen K. Kopalle & Leigh M. McAlister & Donald R. Lehmann, 2020. "The past, present, and future of marketing strategy," Marketing Letters, Springer, vol. 31(2), pages 163-174, September.
    9. Lynch, John G. & Bradlow, Eric T. & Huber, Joel C. & Lehmann, Donald R., 2015. "Reflections on the replication corner: In praise of conceptual replications," International Journal of Research in Marketing, Elsevier, vol. 32(4), pages 333-342.
    10. Dominique M. Hanssens, 2018. "The value of empirical generalizations in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 6-8, January.
    11. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    12. Wayne S. DeSarbo & Qian Chen & Ashley Stadler Blank, 2017. "A Parametric Constrained Segmentation Methodology for Application in Sport Marketing," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 4(4), pages 37-55, December.
    13. Lynch, John G, Jr, 1982. "On the External Validity of Experiments in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 225-239, December.
    14. Wayne DeSarbo & William Cron, 1988. "A maximum likelihood methodology for clusterwise linear regression," Journal of Classification, Springer;The Classification Society, vol. 5(2), pages 249-282, September.
    15. Wayne DeSarbo & Vijay Mahajan, 1984. "Constrained classification: The use of a priori information in cluster analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 187-215, June.
    16. Oded Netzer & Ronen Feldman & Jacob Goldenberg & Moshe Fresko, 2012. "Mine Your Own Business: Market-Structure Surveillance Through Text Mining," Marketing Science, INFORMS, vol. 31(3), pages 521-543, May.
    17. Byung Cheol Lee & Christine Moorman & C. Page Moreau & Andrew T. Stephen & Donald R. Lehmann, 2020. "The past, present, and future of innovation research," Marketing Letters, Springer, vol. 31(2), pages 187-198, September.
    18. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    19. John U. Farley & Donald R. Lehmann & Alan Sawyer, 1995. "Empirical Marketing Generalization Using Meta-Analysis," Marketing Science, INFORMS, vol. 14(3_supplem), pages 36-46.
    20. Carl Shapiro, 1983. "Premiums for High Quality Products as Returns to Reputations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(4), pages 659-679.
    21. Kathryn Sharpe Wessling & Joel Huber & Oded Netzer, 2017. "MTurk Character Misrepresentation: Assessment and Solutions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(1), pages 211-230.
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    Cited by:

    1. Byung Cheol Lee & Christine Moorman & C. Page Moreau & Andrew T. Stephen & Donald R. Lehmann, 2020. "The past, present, and future of innovation research," Marketing Letters, Springer, vol. 31(2), pages 187-198, September.
    2. Maayan S. Malter & Morris B. Holbrook & Barbara E. Kahn & Jeffrey R. Parker & Donald R. Lehmann, 2020. "The past, present, and future of consumer research," Marketing Letters, Springer, vol. 31(2), pages 137-149, September.
    3. Lang, Le Dang & Lim, Weng Marc & Guzmán, Francisco, 2022. "How does promotion mix affect brand equity? Insights from a mixed-methods study of low involvement products," Journal of Business Research, Elsevier, vol. 141(C), pages 175-190.

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