Understanding Influence of Marketing Thought on Practice: an Analysis of Business Journals Using Textual and Latent Dirichlet Allocation (LDA) Analysis
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DOI: 10.1007/s40547-018-0089-z
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References listed on IDEAS
- Xin (Shane) Wang & Neil T. Bendle & Feng Mai & June CotteXin, 2015. "The Journal of Consumer Research at 40: A Historical Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 42(1), pages 5-18.
- Gary L. Lilien & John H. Roberts & Venkatesh Shankar, 2013. "Effective Marketing Science Applications: Insights from the ISMS-MSI Practice Prize Finalist Papers and Projects," Marketing Science, INFORMS, vol. 32(2), pages 229-245, March.
- 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.
- Robert W. Palmatier, 2016. "Improving publishing success at JAMS: contribution and positioning," Journal of the Academy of Marketing Science, Springer, vol. 44(6), pages 655-659, November.
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- Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
- Abhishek Borah & Francesca Bonetti & Angelito Calma & José Martí-Parreño, 2023. "The Journal of the Academy of Marketing Science at 50: A historical analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 222-243, January.
- Borah, Abhishek & Skiera, Bernd, 2021. "Marketing and investor behavior: Insights, introspections, and indications," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 811-816.
- Damane Moeti, 2022. "Topic Classification of Central Bank Monetary Policy Statements: Evidence from Latent Dirichlet Allocation in Lesotho," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 10(1), pages 199-227, September.
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Keywords
Marketing topics; Practice; Harvard Business Review; Management Science; MIT Sloan Management Review; Topic modeling; Historical analysis; Latent Dirichlet allocation (LDA);All these keywords.
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