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Optimal promotion planning for a product launch in the presence of word-of-mouth

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  • Bigdellou, Saeide
  • Aslani, Shirin
  • Modarres, Mohammad

Abstract

Marketing managers concern that Word-of-Mouth (WOM) can affect the efficiency of sales promotion policy. Sales promotion might also amplify the strength of WOM which further complicates decision-making. In this study, we deploy an agent-based simulation optimization framework to find an efficient sales promotion plan in the presence of WOM for launching re-purchasable products. In this model, consumers' purchase decisions are influenced by price history, availability and satisfaction of the consumers, and positive/negative WOM. We show that taking WOM on board while determining the promotion plan can significantly increase the net present value. However, amplifying WOM might damage the firm's profit for some product categories.

Suggested Citation

  • Bigdellou, Saeide & Aslani, Shirin & Modarres, Mohammad, 2022. "Optimal promotion planning for a product launch in the presence of word-of-mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:joreco:v:64:y:2022:i:c:s0969698921003878
    DOI: 10.1016/j.jretconser.2021.102821
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    1. Ford, Gary T & Smith, Darlene B & Swasy, John L, 1990. "Consumer Skepticism of Advertising Claims: Testing Hypotheses from Economics of Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 433-441, March.
    2. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    3. V. Kumar & Vikram Bhaskaran & Rohan Mirchandani & Milap Shah, 2013. "Practice Prize Winner ---Creating a Measurable Social Media Marketing Strategy: Increasing the Value and ROI of Intangibles and Tangibles for Hokey Pokey," Marketing Science, INFORMS, vol. 32(2), pages 194-212, March.
    4. Ayalla Ruvio & Richard P. Bagozzi & G. Tomas M. Hult & Richard Spreng, 2020. "Consumer arrogance and word-of-mouth," Journal of the Academy of Marketing Science, Springer, vol. 48(6), pages 1116-1137, November.
    5. David Godes & Dina Mayzlin & Yubo Chen & Sanjiv Das & Chrysanthos Dellarocas & Bruce Pfeiffer & Barak Libai & Subrata Sen & Mengze Shi & Peeter Verlegh, 2005. "The Firm's Management of Social Interactions," Marketing Letters, Springer, vol. 16(3), pages 415-428, December.
    6. Foekens, Eijte W. & S.H. Leeflang, Peter & Wittink, Dick R., 1998. "Varying parameter models to accommodate dynamic promotion effects," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 249-268, November.
    7. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    8. Park, Jungkun & Hyun, Hyowon & Thavisay, Toulany, 2021. "A study of antecedents and outcomes of social media WOM towards luxury brand purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    9. Tay, Nicholas S.P. & Lusch, Robert F., 2005. "A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments," Journal of Business Research, Elsevier, vol. 58(9), pages 1155-1168, September.
    10. David Godes, 2017. "Product Policy in Markets with Word-of-Mouth Communication," Management Science, INFORMS, vol. 63(1), pages 267-278, January.
    11. Maxime C. Cohen & Ngai-Hang Zachary Leung & Kiran Panchamgam & Georgia Perakis & Anthony Smith, 2017. "The Impact of Linear Optimization on Promotion Planning," Operations Research, INFORMS, vol. 65(2), pages 446-468, April.
    12. Shirin Aslani & Soheil Sibdari & Mohammad Modarres, 2018. "Revenue Management with Customers’ Reference Price: Are the Existing Methods Effective?," Service Science, INFORMS, vol. 10(2), pages 195-214, June.
    13. Baum, Daniela & Spann, Martin & Füller, Johann & Thürridl, Carina, 2019. "The impact of social media campaigns on the success of new product introductions," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 289-297.
    14. Frank M. Bass, 2004. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 50(12_supple), pages 1825-1832, December.
    15. Maxime C. Cohen & Swati Gupta & Jeremy J. Kalas & Georgia Perakis, 2020. "An Efficient Algorithm for Dynamic Pricing Using a Graphical Representation," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2326-2349, October.
    16. Mizerski, Richard W, 1982. "An Attribution Explanation of the Disproportionate Influence of Unfavorable Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 301-310, December.
    17. Andrews, Demetra, 2016. "Product information and consumer choice confidence in multi-item sales promotions," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 45-53.
    18. Vijay Mahajan & Eitan Muller & Roger A. Kerin, 1984. "Introduction Strategy for New Products with Positive and Negative Word-of-Mouth," Management Science, INFORMS, vol. 30(12), pages 1389-1404, December.
    19. Kim, Ho & Hanssens, Dominique M., 2017. "Advertising and Word-of-Mouth Effects on Pre-launch Consumer Interest and Initial Sales of Experience Products," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 57-74.
    20. Malekian, Yaser & Rasti-Barzoki, Morteza, 2019. "A game theoretic approach to coordinate price promotion and advertising policies with reference price effects in a two-echelon supply chain," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 114-128.
    21. Frank M. Bass, 2004. "Comments on "A New Product Growth for Model Consumer Durables The Bass Model"," Management Science, INFORMS, vol. 50(12_supple), pages 1833-1840, December.
    22. Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
    23. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    24. Ioana Popescu & Yaozhong Wu, 2007. "Dynamic Pricing Strategies with Reference Effects," Operations Research, INFORMS, vol. 55(3), pages 413-429, June.
    25. Praveen K. Kopalle & Ambar G. Rao & João L. Assunção, 1996. "Asymmetric Reference Price Effects and Dynamic Pricing Policies," Marketing Science, INFORMS, vol. 15(1), pages 60-85.
    26. Xin Chen & Peng Hu & Stephen Shum & Yuhan Zhang, 2016. "Dynamic Stochastic Inventory Management with Reference Price Effects," Operations Research, INFORMS, vol. 64(6), pages 1529-1536, December.
    27. Peluso, Alessandro M. & Bonezzi, Andrea & De Angelis, Matteo & Rucker, Derek D., 2017. "Compensatory word of mouth: Advice as a device to restore control," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 499-515.
    28. Rui Yin & Yossi Aviv & Amit Pazgal & Christopher S. Tang, 2009. "Optimal Markdown Pricing: Implications of Inventory Display Formats in the Presence of Strategic Customers," Management Science, INFORMS, vol. 55(8), pages 1391-1408, August.
    29. Harald J. Heerde & Scott A. Neslin, 2017. "Sales Promotion Models," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 13-77, Springer.
    30. Gavan J. Fitzsimons & Donald R. Lehmann, 2004. "Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses," Marketing Science, INFORMS, vol. 23(1), pages 82-94, September.
    31. Petrescu, Maria & O’Leary, Kathleen & Goldring, Deborah & Ben Mrad, Selima, 2018. "Incentivized reviews: Promising the moon for a few stars," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 288-295.
    32. Robert C. Blattberg & Richard Briesch & Edward J. Fox, 2010. "How Promotions Work," World Scientific Book Chapters, in: Greg M Allenby (ed.), Perspectives On Promotion And Database Marketing The Collected Works of Robert C Blattberg, chapter 10, pages 157-167, World Scientific Publishing Co. Pte. Ltd..
    33. Delre, S.A. & Jager, W. & Bijmolt, T.H.A. & Janssen, M.A., 2007. "Targeting and timing promotional activities: An agent-based model for the takeoff of new products," Journal of Business Research, Elsevier, vol. 60(8), pages 826-835, August.
    34. Yiqiang Su & Joseph Geunes, 2013. "Multi-period price promotions in a single-supplier, multi-retailer supply chain under asymmetric demand information," Annals of Operations Research, Springer, vol. 211(1), pages 447-472, December.
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