Abstract
Because of the continually shifting population, spiraling costs of land and construction, the increasing number of planned shopping centers and changing urban conditions, much emphasis is being placed on the selection of sites for retails stores. This trend toward more importance being placed on retail location has lead many entrepreneurs, chain store executives, and researchers to seek more sophisticated site selection techniques. A number of different approached have been taken in attempts to quantitatively solve the retail site selection problem Most of the more common approaches are blessed with strengths and plagued with weaknesses in the methodological processes.
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Footnotes
David L. Huff, "A Programmed Solution for Approximating an Optimum Retail Location," Land Ecomonics, Vol. 42 (August 1966), p. 293.
See for example: Philip Kotier, Marketing Decision Making: A Model Building Approach, (New York: Holt Rinehart and Winston, 1971), p. 293; and Thomas A. Stanley and Murphy A. Sewall, "Image Inputs to a Probalistic Model: Predicting Retail Potential," Journal of Marketing, Vol. 40 (July 1976), pp. 48–53.
Ross L. Davies, Marketing Geography, (Corbridge, Namberland, England: Retailing and Planning Associates, 1976), p. 248.
C.T. Heald, "The Application of the Automatic Interaction Detector Programe and Multiple Regression Techniques to the Assessment of Store Performance and Site Selection," Operations Research Quarterly, Vol. 23 (1972), pp. 445–457.
Ibid, pp. 445–457.
See for example: Jacob Cohen and Patricia Cohen, Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, (Hillsdale, New Jersey: Lawrence Erlbaum Associates, Publisher, 1975); Joseph F. Hair, Jr., Rolph E. Anderson, Ronald L. Tatham, and Beimie J. Grablowsky, Multivariate Data Analysis, (Tulsa, Oklahoma: PPC Books, 1979), p. 219; John Weter and William Washerman, Applied Linear Statistical Models, (Homewood, Illinois: Rlchars D. Irwin, Inc., 1974); and Thomas R. Sharpe'and Mickey C. Smith, "The Substitution Controvetsey: Attitudes of Pharmacists Toward Repeal of Antisubstitution Laws," Drugs inHealdh Care, Vol. 3 (Winter 1976), pp. 218–234.
Cohen and Cohen, pp. 291–339.
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Taylor, R.D. (2015). Multiple Regression Analysis as a Retail Site Selection Method: An Empirical Review. In: Bellur, V. (eds) The 1980’s: A Decade of Marketing Challenges. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham. https://doi.org/10.1007/978-3-319-16976-7_44
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DOI: https://doi.org/10.1007/978-3-319-16976-7_44
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