Retail management
Publication details: Mumbai Himalaya publihing house 2022 ISBN: 9789354956256DDC classification: 658.87 NAI/RET Summary: 1. Overview and Introduction to Retailing, 2. Theories of Retailing and Types of Retailers, 3. Indian Retail and Customer Shopping Behaviour, 4. Multichannel and Omnichannel Retailing, 5. Retail Market Strategy, 6. Financial Strategy, 7. Retail Site and Location, 8. Human Resources Management (HRM), 9. Retail Marketing, Store Management and Visual Merchandising, 10. Supply Chain Management in Retailing, 11. Service, Quality and Customer Relationship Management, 12. Information Technology (IT) Support Systems, 13. Franchising, Brand and Mall Management, 14. Online or E-tailing and International Retailing, 15. Rural Market Retailing, 16. Ethics, Big Data and RetailingItem type | Home library | Call number | Materials specified | Copy number | Status | Date due | Barcode |
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S. Vs Sridora Caculo College of Commerce & Management Studies, khorlim, Mapusa | 658.87 NAI/RET (Browse shelf(Opens below)) | 1 | Ordered | SVS-18352 |
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658.87 big ideas foe small retailers functional principles and practices | 658.87 LEV-RET Retailing Management | 658.87 MUR/RET Retail management | 658.87 NAI/RET Retail management | 658.87 PRA-RET Retailing Management : Text and Cases | 658.87 PRA-RET Retailing Management : Text and Cases | 658.8702 Retail business management |
1. Overview and Introduction to Retailing, 2. Theories of Retailing and Types of Retailers, 3. Indian Retail and Customer Shopping Behaviour, 4. Multichannel and Omnichannel Retailing, 5. Retail Market Strategy, 6. Financial Strategy, 7. Retail Site and Location, 8. Human Resources Management (HRM), 9. Retail Marketing, Store Management and Visual Merchandising, 10. Supply Chain Management in Retailing, 11. Service, Quality and Customer Relationship Management, 12. Information Technology (IT) Support Systems, 13. Franchising, Brand and Mall Management, 14. Online or E-tailing and International Retailing, 15. Rural Market Retailing, 16. Ethics, Big Data and Retailing
english
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