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ISSN : 2765-6934

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Vol.1 No.1
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Using Huff Model for Predicting the Potential Chiness Retail Market

Asian Journal of Business Environment / Asian Journal of Business Environment, (P)2765-6934; (E)2765-7027
2011, v.1 no.1, pp.9-12
Shuai Su (Shandong University)

Shuai, S. , & (2011). Using Huff Model for Predicting the Potential Chiness Retail Market. Asian Journal of Business Environment, 1(1), 9-12.
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Abstract

This study aimed to predict retail sales of local markets in Jinan city of China with the Huff model. Using the Huff Model, we examined whether the predicted retail sales of local markets may be different in Jinan, China, from the department stores, supermarkets, shopping centers/shopping malls, and home appliance stores. The probability that a customer shops at location depends upon the store size and the travel time factors calculated by the Huff Model. We found that the predictedretail sales of shopping malls have a greater value than others. People who live in a mid-sized city may have easier access to any stores within the city boundary than people in metropolitan areas. Therefore, people in a mid-sized city are more sensitive to store size, because a bigger store size means greater opportunities, incentivizing consumers to travel further to competing stores after passing by nearer, smaller stores. This study has some limitations. First, the data is somewhat restricted in that the subject stores do not represent all of the stores in Jinan. Second, we cannot compare the estimated market share of the stores and the actual sales data. It is further suggested in this study that more databases be developed throughout such East Asian countries as Korea and Japan and that a different parameter λ value in the Huff Model be utilized for mid-sized cities.

keywords
the Huff Model, predict retail sales, potential sales volume

Reference

1.

Craig, C. S., Ghosh, A. & McLafferty, S. (1984), "Models of the retail location process: A review", Journal of Retailing, 60 (1), 5–36.

2.

Lv, H.R., Bai, X. X., Yin, W. J., & Dong, j. (2008), "Simulation based sales forecasting on retail small stores", Proceedings of the 2008 Winter Simulation Conference, 1711–1716.

3.

Park, Chul-ju, Ko, Youn-bae, Youn, Myoung-kil & Kim,Won-kyum(2006), "Prediction of Estimated Sales Amount through New Open of Department Store", Journal of Distribution Science, 4(2), 5-20.

4.

Youn, Myoung-kil, Park, Jong-chan, & Nankung, Seok (2007). "A Study on Setting of Estimation Model of the Sales of Large-sized Stores in Local", a Collection of the Papers Published by Spring Season Symposium of the KIEA. 120 – 135.

5.

Hernandez, T. & Bennison, D. (2000), "The art and science of retail location decisions", International Journal of Retail & Distribution, 28(8), 357–367.

6.

Krause-Traudes, M., Scheider, S., Rϋping, S. & Meßner, H. (2008), "Spatial data mining for retail sales forecasting", 11th AGILE International Conference on Geographic Information Science 2008,University of Girona, Spain.

7.

Kim, P-J., Kim, W., Chung , W-K. & Youn, M-K.(2011),"Using New Huff model for predicting potential retail market in South Korea", African Journal of Business Management, 5(5), 1543-1550.

8.

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),.

9.

Huff, D. L. (1964). "Defining and Estimating A Trading Area," Journal of Marketing, 28(Jul.), 34-38.

10.

Levy, M. and Weitz, B. A. (2007), Retailing Management, NY: McGraw-Hill/Irwin.

11.

Yim, S. and Lee, J.(2000), "Market share analysis using the Huff's model", Korean Appraisal Review, X, 65-84.

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