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Brand positioning under lexicographic choice rules
Institution:1. University of Wisconsin-Milwaukee, Lubar School of Business, 3202 N. Maryland Ave., Milwaukee, WI 53211, United States;2. Kellogg School of Management, Northwestern University, 2001 Sheridan Road, Evanston, Il 60208, United States;1. Department of Obstetrics and Gynaecology, Ospedale degli Infermi, Biella, University of Turin, Turin, Italy (Drs Masturzo, Delogu, and Germano);2. Department of Medicine and Surgery, Obstetrics and Gynecology Unit, University of Parma, Parma, Italy (Dr Ghi);3. Università di Roma Tor Vergata, Department of Obstetrics and Gynecology, Fondazione Policlinico Tor Vergata, Roma, Italy (Dr Rizzo);4. Clinic of Obstetrics and Gynecology, Santa Croce e Carle Hospital, Cuneo, Italy (Dr Puppo);5. Obstetrics and Gynaecology 2U, Sant''Anna Hospital, University of Turin, Turin, Italy (Drs Attini and Revelli);6. Division of Pediatrics and Neonatology, Department of Maternal, Neonatal, and Infant Medicine, Ospedale Degli Infermi, Biella, University of Turin, Turin, Italy (Dr Manzoni)
Abstract:This paper discusses a brand positioning model in which two brands of a product are to be positioned in a price-quality space under a new behavioral assumption. This assumption asserts that customers determine the highest-quality product within their reservation price and purchase it, provided its quality does not fall short of a minimum standard. The model also includes producers' costs that are incurred for delivering a certain quality. We first delineate reaction functions for the optimal location of one brand, give a location of its competitor. We then show that Nash equilibria do not exist as long as price and quality are both variable. Finally, we consider a two phase model: in the first phase, the duopolists sequentially choose their quality levels under the assumption that both competitors know that in the second phase, a Nash equilibrium in prices follows. Single-variable mathematical programming formulations are presented to solve the problem. A numerical example is also given to illustrate the working of the model.
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