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Strength in diversity: methods and analytics

Author

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  • Maria Petrescu

    (ICN Business School Artem, CEREFIGE Laboratoire
    Colorado State University Global)

  • Anjala S. Krishen

    (University of Nevada)

Abstract

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Suggested Citation

  • Maria Petrescu & Anjala S. Krishen, 2019. "Strength in diversity: methods and analytics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(4), pages 203-204, December.
    • Handle: RePEc:pal:jmarka:v:7:y:2019:i:4:d:10.1057_s41270-019-00064-5
    DOI: 10.1057/s41270-019-00064-5
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    References listed on IDEAS

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    1. Arifine, Ghizlane & Felix, Reto & Furrer, Olivier, 2019. "Multi-Brand Loyalty in Consumer Markets: A Qualitatively-Driven Mixed Methods Approach," FSES Working Papers 501, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    2. Shalini Bahl & George R. Milne, 2010. "Talking to Ourselves: A Dialogical Exploration of Consumption Experiences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(1), pages 176-195, June.
    3. Mikalef, Patrick & Boura, Maria & Lekakos, George & Krogstie, John, 2019. "Big data analytics and firm performance: Findings from a mixed-method approach," Journal of Business Research, Elsevier, vol. 98(C), pages 261-276.
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    Cited by:

    1. Michael A. Levin & John T. Gironda, 2023. "New frontiers in forecasting, predicting, and explaining: an introduction to the special issue," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 559-560, December.
    2. John F. Riggs & Dena Hale & Scott Widmier & Sonya Tidwell-Riggs, 2023. "Randomized, Multicenter, Parallel-Arm (RMPA) research trial design: a potential solution to survey length, response rate and data quality in social science research," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 577-586, December.
    3. Munten, Pauline & Vanhamme, Joëlle, 2023. "To reduce waste, have it repaired! The quality signaling effect of product repairability," Journal of Business Research, Elsevier, vol. 156(C).
    4. Andrés Martínez & Alfonso Salafranca & Ana E. Sipols & Clara Simon Blas & Daniel Hengel, 2024. "Distributed lags using elastic-net regularization for market response models: focus on predictive and explanatory capacity," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 417-435, June.

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