DocumentCode :
711829
Title :
Acquiring an Optimal Retail Chain Location in China
Author :
Horng-Jinh Chang ; Chih-Ming Hsieh ; Feng-Mei Yang
Author_Institution :
Dept. of Manage., Sci. Tamkang Univ., New Taipei, Taiwan
fYear :
2015
fDate :
24-26 April 2015
Firstpage :
96
Lastpage :
99
Abstract :
Retail chains in China have been booming in the past 5 years, particularly for small 100 ft2 stores. This study focus on evaluating the location of small chain stores, including 5 major concerns regarding site selection: (a) stream of people, (b) group of stores, (c) location characteristics, (d) store space, and (e) rent proportional to sales. We divided these categories into 9 major factors for store evaluation: (a) area residents, (b) crowd flow rate in front of a store, (c) target customer number within a 1, 500 m radius, (d) complementary stores within 30 m, (e) exclusive stores within 20 m, (f) suitable location, (g) unsuitable location, (h) usable store space, and (i) ratio between rent and sales amount. This research tests our evaluation model using the multifactor line regression method. The proven approach provides the retailer with a fast and reliable store site-selection method to acquire a profitable new store.
Keywords :
facility location; linear programming; retailing; sales management; China; area residents; complementary stores; crowd flow rate; exclusive stores; location characteristics; multifactor line regression method; optimal retail chain location; people stream; rent-sales amount ratio; small-chain store location evaluation; store evaluation; store group; store rent; store site-selection method; store space; suitable location; target customer number; unsuitable location; usable store space; Business; Correlation; Economics; Mathematical model; Medical services; Sociology; chain store; component; consumer orientation; linear programming; location selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
Type :
conf
DOI :
10.1109/ICISCE.2015.30
Filename :
7120570
Link To Document :
بازگشت