Area-POS Data: A Novel Method for Commercial Area Management
Author:
Affiliation:
1. Waseda University, Japan
Funder
Grant-in-Aid for JSPS Research Fellow
Grant-in-Aid for Scientific Research
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3514262.3514281
Reference23 articles.
1. Puccinelli N.M. Goodstein R.C. Grewal D. Price R. Raghubir P. and Stewart D. 2009. Customer experience management in retailing: understanding the buying process. J. retailing. 85(1) 15–30. Puccinelli N.M. Goodstein R.C. Grewal D. Price R. Raghubir P. and Stewart D. 2009. Customer experience management in retailing: understanding the buying process. J. retailing. 85(1) 15–30.
2. Koschmann A. and Isaac M.S. 2018. Retailer categorization: how store-format price image influences expected prices and consumer choices. J. retailing. 94(4) 364–379. Koschmann A. and Isaac M.S. 2018. Retailer categorization: how store-format price image influences expected prices and consumer choices. J. retailing. 94(4) 364–379.
3. De Mooij M. and Hofstede G. 2002. Convergence and divergence in consumer behavior: implications for international retailing. J. retailing. 78(1) 61–69. De Mooij M. and Hofstede G. 2002. Convergence and divergence in consumer behavior: implications for international retailing. J. retailing. 78(1) 61–69.
4. User Requirements Analysis for Restaurant POS and Accounting Application Using Quality Function Deployment
5. Predicting retailer orders with POS and order data: The inventory balance effect
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