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Phenomena, theory, application, data, and methods all have impact

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  • John R. Hauser

    (Massachusetts Institute of Technology)

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  • John R. Hauser, 2017. "Phenomena, theory, application, data, and methods all have impact," Journal of the Academy of Marketing Science, Springer, vol. 45(1), pages 7-9, January.
    • Handle: RePEc:spr:joamsc:v:45:y:2017:i:1:d:10.1007_s11747-016-0498-1
    DOI: 10.1007/s11747-016-0498-1
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    References listed on IDEAS

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    1. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
    2. Peter J. Lenk & Wayne S. DeSarbo & Paul E. Green & Martin R. Young, 1996. "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, INFORMS, vol. 15(2), pages 173-191.
    3. Pradeep Chintagunta & Dominique M. Hanssens & John R. Hauser, 2016. "Editorial—Marketing Science and Big Data," Marketing Science, INFORMS, vol. 35(3), pages 341-342, May.
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    Cited by:

    1. Abhishek Borah & Xin (Shane) Wang & Jun Hyun (Joseph) Ryoo, 2018. "Understanding Influence of Marketing Thought on Practice: an Analysis of Business Journals Using Textual and Latent Dirichlet Allocation (LDA) Analysis," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(3), pages 146-161, December.
    2. Jochen Wirtz & Valarie Zeithaml, 2018. "Cost-effective service excellence," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 59-80, January.
    3. Elina Jaakkola & Stephen L. Vargo, 2021. "Assessing and enhancing the impact potential of marketing articles," AMS Review, Springer;Academy of Marketing Science, vol. 11(3), pages 407-415, December.

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