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Supporting New Product or Service Introductions: Location, Marketing, and Word of Mouth

Author

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  • Vahideh Sadat Abedi

    (Mihaylo College of Business and Economics, California State University Fullerton, Fullerton, California 92831)

  • Oded Berman

    (Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada)

  • Dmitry Krass

    (Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada)

Abstract

Introduction of a new, innovative product or service is a fundamental problem that managers face regularly. The temporal sales pattern of such a product is often dynamically influenced by word of mouth as well as by marketing and distribution support. Appropriate marketing support strategies must be specified to induce the best sales pattern; however, the success of these strategies is heavily tied to the accessibility of the retail facilities, whether physical stores or virtual ones such as the Internet or phone. Managing the relation between accessibility and marketing support becomes more challenging when the firm faces a limited time, often due to short product life cycle. In this work, we present a general model for the joint design of the network of retail facilities and marketing strategies in the presence of word-of-mouth effects and limited time horizon. We develop exact and heuristic solution methods and provide insights on the structure of the optimal solution. Our solution methods identify the number and location of retail facilities to carry the product, as well as the proper mix of marketing channels and expenditures in them over time. Our results demonstrate that significant profit improvement can be achievable by jointly optimizing the design of the network of retail facilities with the choice of marketing strategies. Results of numerical experiments and an illustrative case study on opening Nespresso boutiques are also reported.

Suggested Citation

  • Vahideh Sadat Abedi & Oded Berman & Dmitry Krass, 2014. "Supporting New Product or Service Introductions: Location, Marketing, and Word of Mouth," Operations Research, INFORMS, vol. 62(5), pages 994-1013, October.
  • Handle: RePEc:inm:oropre:v:62:y:2014:i:5:p:994-1013
    DOI: 10.1287/opre.2014.1305
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    References listed on IDEAS

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    1. Engelbert Dockner & Steffen Jørgensen, 1988. "Optimal Advertising Policies for Diffusion Models of New Product Innovation in Monopolistic Situations," Management Science, INFORMS, vol. 34(1), pages 119-130, January.
    2. Tal Garber & Jacob Goldenberg & Barak Libai & Eitan Muller, 2004. "From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success," Marketing Science, INFORMS, vol. 23(3), pages 419-428, August.
    3. Fisher, M.L. & Nemhauser, G.L. & Wolsey, L.A., 1978. "An analysis of approximations for maximizing submodular set functions - 1," LIDAM Reprints CORE 334, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    5. Trichy V. Krishnan & Dipak C. Jain, 2006. "Optimal Dynamic Advertising Policy for New Products," Management Science, INFORMS, vol. 52(12), pages 1957-1969, December.
    6. Donald Lehmann & Mercedes Esteban-Bravo, 2006. "When giving some away makes sense to jump-start the diffusion process," Marketing Letters, Springer, vol. 17(4), pages 243-254, December.
    7. Pierre Hanjoul & Pierre Hansen & Dominique Peeters & Jacques-Francois Thisse, 1990. "Uncapacitated Plant Location Under Alternative Spatial Price Policies," Management Science, INFORMS, vol. 36(1), pages 41-57, January.
    8. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    9. Gustav Feichtinger & Richard F. Hartl & Suresh P. Sethi, 1994. "Dynamic Optimal Control Models in Advertising: Recent Developments," Management Science, INFORMS, vol. 40(2), pages 195-226, February.
    10. Fruchter, Gila E. & Van den Bulte, Christophe, 2011. "Why the Generalized Bass Model leads to odd optimal advertising policies," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 218-230.
    11. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
    12. Gerald L. Thompson & Jinn-Tsair Teng, 1984. "Optimal Pricing and Advertising Policies for New Product Oligopoly Models," Marketing Science, INFORMS, vol. 3(2), pages 148-168.
    13. Rabik Ar Chatterjee & Jehoshua Eliashberg, 1990. "The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach," Management Science, INFORMS, vol. 36(9), pages 1057-1079, September.
    14. Mozart Menezes & O. Berman & D. Krass, 2007. "Facility Reliability Issues in Network p-Median Problems: Strategic Centralization and Co-location Effects," Post-Print halshs-00170396, HAL.
    15. A. J. Goldman, 1971. "Optimal Center Location in Simple Networks," Transportation Science, INFORMS, vol. 5(2), pages 212-221, May.
    16. Fisher, M.L. & Nemhauser, G.L. & Wolsey, L.A., 1978. "An analysis of approximations for maximizing submodular set functions," LIDAM Reprints CORE 341, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Kristiaan Helsen & David C. Schmittlein, 1993. "Analyzing Duration Times in Marketing: Evidence for the Effectiveness of Hazard Rate Models," Marketing Science, INFORMS, vol. 12(4), pages 395-414.
    18. Aboolian, Robert & Berman, Oded & Krass, Dmitry, 2007. "Competitive facility location and design problem," European Journal of Operational Research, Elsevier, vol. 182(1), pages 40-62, October.
    19. R Aboolian & O Berman & D Krass, 2008. "Optimizing pricing and location decisions for competitive service facilities charging uniform price," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(11), pages 1506-1519, November.
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