- E-ISSN2233-5382
- KCI
E-ISSN : 2233-5382
Analysis on Preceding Study of Consumer's Store-Choice Model: Focusing on Commercial Sphere Analysis Theories
Youn, Myoung-Kil
Abstract
Purpose - There are numerous theories for retail trade area analysis which are designed to select candidate locations for new stores. In this study, comparative analysis on the characteristics from those of the theories are shown, and the explanation for the power in consumers' store-choice behaviors and their limitations are examined. Also, plans for improving commercial sphere analysis are explored. Research design, data, and methodology - This study is based on literature reviews with normative research methodology. Among many researches regarding the analysis on the location and commercial sphere for launching a new store, researches relying on statistics are excluded in this study since they belong to the marketing research area,. Results - In the Law of retail gravitation, Huff's model multinomial logit model and etc. are mutual complementary mathematical techniques for analyzing commercial spheres and each of them has its own characteristics. These theories rely on the same hypothesis in which consumers are all believed to be behaving rationally under a similar behavioral system. However, the trial in explaining or estimating behavior of choosing a store with only a select size of the population that is objectively estimated by some major properties has limits in its credibility. Conclusion - Research on consumer's spatial behaviors can be fully illustrative and explainable when it has both quantitative approaches such as 'law of retail gravitation', 'logit model' and etc., and qualitative approaches like consumer's 'cognitive structure', 'learning status', 'image formation', 'attitude' and etc.
- keywords
- Commercial Sphere Analysis Theory, Consumer's Store Choice, Retail Store, Space Travel
Reference
Ahn, S. W., Lee, S. Y., Kim, P. J., & Youn, M. K. (2009). A Practical Study on the New Revenue Estimate Model Of SSM. Journal of Distribution Science, 7(3), 5-24.
Bacon, Robert W. (1984). Consumer Spatial Behavior. Oxford, Oxfordshire : Clarendon Press
Berry, B. J. L., & Garrison W. L. (1958). The Functional Bases of the Central Place Hierarchy. Economic Geography, 34, 145-154.
Christaller, W. (1933). Central Places in Southern Germany (trans. C. W. Baskin, 1966). Englewood Cliffs, NJ: Prentice Hall
Converse, P. D. (1949). New Laws of Retail Gravitation. Journal of Marketing, 14, 339–344.
Craig, C. S., Ghosh, A., & McLafferty, S. (1984). Model of the retail location process: a review. Journal of Retailing, 60(1), 5–36.
Davies, R. L. (1976). Marking Geography with Special Reference to Retailing. London, UK: Methun Co.
Downs, R. M. (1970). The Cognitive Structure of an Urban Shopping Center. Environment and Behavior, 2(1), 13-39.
Garner, B. J. (1967). Some reflections on the notion of threshold in central place studies. Annals of the Association of American Geographers, 57(4), 788.
Gautschi, D. A. (1981). Specification of Patronage Models for Retail Center Choice. Journal of Marketing Research, 18, 163-166.
Gosh, A., and McLafferty, S. L. (1987). Location Strategies for Retail and Service Firms. Lexington, MA: Lexington Books
Horton, F. E., & Reynolds, D. R. (1971). Effects of Urban spatial structure on individual behavior. Economic Geography, 47(1), 36-48.
Huff, D. (1963). A Probability Analysis of Shopping Centers' Trade Areas. Land Economics, 39, 81–90.
Huff, D. (1964). Defining and Estimating a Trade Area. Journal of Marketing, 28, 34-38.
Jain, A. K., & Mahajan, V. (1979). Evaluating the Competitive Environment in Retailing using MCI Model. Research in Marketing, 2, 217–235.
Kim, P. J., & Youn, M. K. (2010). Retail Sales forecasting of agricultural products marts in a mid-sized city using the Huff Model. Journal of Food. Agriculture & Environment, 8(2), 945-948.
Lösch, A. (1940). The Economics of Location (translated By W. H. Woglom and W. R. Stolper in 1954). New Haven: Yale University Press
Reilly, W. J. (1931). The Law of Retail Gravitation. New York: Knickerbocker Press.
Su, Shuai, & Youn, M. K. (2011). Using Huff Model for Predicting potential Chinese Retail Market. East Asian Journal of Business Management, 1(1), 9-12.
Youn, M. K., Kim, W. K., Kim, P. J., Lee, S. Y., Shim, K. Y., & Kim, Y. O. (2012). Retail sales forecast analysis of general hospitals in Daejeon, Korea, using the Huff model. African Journal of Business Management, 6(3), 971-977.
Youn, M. K., Kim, J. J., Park, C. J., & Shim, G. Y. (2013). A research on set-up of turnover estimation model of domestic large department store. Journal of Distribution Science , 11(12), 5-11.
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