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A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies

Author

Listed:
  • Adil Baykasoğlu

    (Dokuz Eylül University)

  • İlker Gölcük

    (Dokuz Eylül University
    Dokuz Eylül University)

  • Derya Eren Akyol

    (Dokuz Eylül University)

Abstract

The aim of this paper is to provide a new fuzzy Multiple-Attribute Decision Making model for evaluating product pricing strategies. The problem is structured in a hierarchical setting. Possible interactions and interdependencies among hierarchically structured criteria are taken into consideration. Since new product pricing decisions entail decision makers’ uncertain judgments concerning many interacting factors, Fuzzy Cognitive Maps are employed to analyze causal dependencies among attributes. Finally, decision makers’ linguistic assessments are transformed into ranking orders of the pricing strategies using the Technique for Order Preference by Similarity to Ideal Solution. The proposed model is implemented in a Turkish software company. The case study has showed that the proposed model is practical and easy to apply. The proposed model can be incorporated into marketing strategies of wide variety of new products.

Suggested Citation

  • Adil Baykasoğlu & İlker Gölcük & Derya Eren Akyol, 2017. "A fuzzy multiple-attribute decision making model to evaluate new product pricing strategies," Annals of Operations Research, Springer, vol. 251(1), pages 205-242, April.
    • Handle: RePEc:spr:annopr:v:251:y:2017:i:1:d:10.1007_s10479-015-1895-4
    DOI: 10.1007/s10479-015-1895-4
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    as
    1. Chakravarthi Narasimhan, 1989. "Incorporating Consumer Price Expectations in Diffusion Models," Marketing Science, INFORMS, vol. 8(4), pages 343-357.
    2. Teng, Jinn-Tsair & Thompson, Gerald L., 1996. "Optimal strategies for general price-quality decision models of new products with learning production costs," European Journal of Operational Research, Elsevier, vol. 93(3), pages 476-489, September.
    3. Arun Sundararajan, 2003. "Nonlinear pricing of information goods," Industrial Organization 0307003, University Library of Munich, Germany.
    4. Franziska Voelckner, 2006. "An empirical comparison of methods for measuring consumers’ willingness to pay," Marketing Letters, Springer, vol. 17(2), pages 137-149, April.
    5. Michel Grabisch & Christophe Labreuche, 2010. "A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid," Annals of Operations Research, Springer, vol. 175(1), pages 247-286, March.
    6. David Besanko & Wayne L. Winston, 1990. "Optimal Price Skimming by a Monopolist Facing Rational Consumers," Management Science, INFORMS, vol. 36(5), pages 555-567, May.
    7. Kalyan Raman & Rabikar Chatterjee, 1995. "Optimal Monopolist Pricing Under Demand Uncertainty in Dynamic Markets," Management Science, INFORMS, vol. 41(1), pages 144-162, January.
    8. Corrente, Salvatore & Greco, Salvatore & Słowiński, Roman, 2013. "Multiple Criteria Hierarchy Process with ELECTRE and PROMETHEE," Omega, Elsevier, vol. 41(5), pages 820-846.
    9. Kopalle, Praveen & Biswas, Dipayan & Chintagunta, Pradeep K. & Fan, Jia & Pauwels, Koen & Ratchford, Brian T. & Sills, James A., 2009. "Retailer Pricing and Competitive Effects," Journal of Retailing, Elsevier, vol. 85(1), pages 56-70.
    10. Dan Horsky, 1990. "A Diffusion Model Incorporating Product Benefits, Price, Income and Information," Marketing Science, INFORMS, vol. 9(4), pages 342-365.
    11. Glenn Ellison & Sara Fisher Ellison, 2009. "Search, Obfuscation, and Price Elasticities on the Internet," Econometrica, Econometric Society, vol. 77(2), pages 427-452, March.
    12. Benlian, Alexander & Hess, Thomas, 2011. "Opportunities and risks of Software-as-a-Service: Findings from a survey of IT executives," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58025, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    13. Peter S. Fader & Bruce G. S. Hardie & Chun-Yao Huang, 2004. "A Dynamic Changepoint Model for New Product Sales Forecasting," Marketing Science, INFORMS, vol. 23(1), pages 50-65, October.
    14. Amil Petrin, 2002. "Quantifying the Benefits of New Products: The Case of the Minivan," Journal of Political Economy, University of Chicago Press, vol. 110(4), pages 705-729, August.
    15. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    16. Mustafa Akan & Barış Ata & R. Savaşkan-Ebert, 2013. "Dynamic pricing of remanufacturable products under demand substitution: a product life cycle model," Annals of Operations Research, Springer, vol. 211(1), pages 1-25, December.
    17. Shlomo Kalish, 1985. "A New Product Adoption Model with Price, Advertising, and Uncertainty," Management Science, INFORMS, vol. 31(12), pages 1569-1585, December.
    18. Bruce Robinson & Chet Lakhani, 1975. "Dynamic Price Models for New-Product Planning," Management Science, INFORMS, vol. 21(10), pages 1113-1122, June.
    19. Rao, Vithala R, 1984. "Pricing Research in Marketing: The State of the Art," The Journal of Business, University of Chicago Press, vol. 57(1), pages 39-60, January.
    20. Arun Sundararajan, 2004. "Nonlinear Pricing of Information Goods," Management Science, INFORMS, vol. 50(12), pages 1660-1673, December.
    21. Robert D. Dewar & Jane E. Dutton, 1986. "The Adoption of Radical and Incremental Innovations: An Empirical Analysis," Management Science, INFORMS, vol. 32(11), pages 1422-1433, November.
    22. Shlomo Kalish, 1983. "Monopolist Pricing with Dynamic Demand and Production Cost," Marketing Science, INFORMS, vol. 2(2), pages 135-159.
    23. Paul Rouse & Robert Swales, 2006. "Pricing public health care services using DEA: Methodology versus politics," Annals of Operations Research, Springer, vol. 145(1), pages 265-280, July.
    24. Verma, Rohit & Pullman, Madeleine E., 1998. "An analysis of the supplier selection process," Omega, Elsevier, vol. 26(6), pages 739-750, December.
    25. Chen, Yu-Min & Jain, Dipak C, 1992. "Dynamic Monopoly Pricing under a Poisson-Type Uncertain Demand," The Journal of Business, University of Chicago Press, vol. 65(4), pages 593-614, October.
    26. Laura J. Kornish, 2001. "Pricing for a Durable-Goods Monopolist Under Rapid Sequential Innovation," Management Science, INFORMS, vol. 47(11), pages 1552-1561, November.
    27. Trichy V. Krishnan & Frank M. Bass & Dipak C. Jain, 1999. "Optimal Pricing Strategy for New Products," Management Science, INFORMS, vol. 45(12), pages 1650-1663, December.
    28. Phillip J. Lederer & Lode Li, 1997. "Pricing, Production, Scheduling, and Delivery-Time Competition," Operations Research, INFORMS, vol. 45(3), pages 407-420, June.
    29. Keeney, Ralph L., 1988. "Building models of values," European Journal of Operational Research, Elsevier, vol. 37(2), pages 149-157, November.
    30. Andreou, Andreas S. & Mateou, Nicos H. & Zombanakis, George A., 2005. "Soft computing for crisis management and political decision making: the use of genetically evolved fuzzy cognitive maps," MPRA Paper 51325, University Library of Munich, Germany, revised 01 Nov 2004.
    31. Dockner, Engelbert J. & Gaunersdorfer, Andrea, 1996. "Strategic new product pricing when demand obeys saturation effects," European Journal of Operational Research, Elsevier, vol. 90(3), pages 589-598, May.
    32. Kim, Bowon & Park, Sangsun, 2008. "Optimal pricing, EOL (end of life) warranty, and spare parts manufacturing strategy amid product transition," European Journal of Operational Research, Elsevier, vol. 188(3), pages 723-745, August.
    33. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    34. Frank M. Bass & Alain V. Bultez, 1982. "Technical Note—A Note on Optimal Strategic Pricing of Technological Innovations," Marketing Science, INFORMS, vol. 1(4), pages 371-378.
    35. Faulhaber, Gerald R & Boyd, James, 1989. "Optimal New-Product Pricing in Regulated Industries," Journal of Regulatory Economics, Springer, vol. 1(4), pages 341-358, December.
    36. Arda Yenipazarli, 2015. "A road map to new product success: warranty, advertisement and price," Annals of Operations Research, Springer, vol. 226(1), pages 669-694, March.
    37. Antti Saaksvuori & Anselmi Immonen, 2005. "Product Lifecycle Management," Springer Books, Springer, edition 0, number 978-3-540-26906-9, December.
    38. William James Adams & Janet L. Yellen, 1976. "Commodity Bundling and the Burden of Monopoly," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(3), pages 475-498.
    39. Marichal, Jean-Luc, 2004. "Tolerant or intolerant character of interacting criteria in aggregation by the Choquet integral," European Journal of Operational Research, Elsevier, vol. 155(3), pages 771-791, June.
    40. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
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