000			02158nam a22002177a 4500
005			20251013171606.0
008			251013b |||||||| |||| 00| 0 eng d
020			_a9783031787157
082			_a658.827 _bCHO
100			_aChodak, Grzegorz _924857
245			_aMulti-Criteria evaluation of assortment and suppliers in e-commerce: _boperational efficiency and advantage
260			_aCham _bPalgrave Macmillan _c2024
300			_axix, 167 p.
365			_aINR _b2728.02
490			_aPalgrave Studies in Logistics and Supply Chain Management (PSLSCM)
500			_aTable of contents: Front Matter Pages i-xix Download chapter PDF Inventory Management in Online Store—Strategy Overview Grzegorz Chodak Pages 1-34 Supplier Evaluation—Set of Criteria for E-commerce Grzegorz Chodak Pages 35-62 Multi-criteria Model of Supplier Evaluation for E-commerce Grzegorz Chodak Pages 63-105 The Criteria for ABC Inventory Classification in E-commerce Grzegorz Chodak Pages 107-126 Multi-criteria ABC Classification Model for E-commerce Grzegorz Chodak Pages 127-155 [https://link.springer.com/book/10.1007/978-3-031-78716-4]
520			_aIn a rapidly changing e-commerce environment, effective supplier selection and inventory management are critical to maintaining competitive advantage and operational efficiency. This book introduces innovative multi-criteria decision-making models (MCDMs) and improved inventory classification systems tailored specifically for online retail environments. Combining theory and research-based case studies, the book highlights the importance of comprehensive criteria in supplier and assortment evaluation and the application of artificial intelligence in optimising decision models. It provides valuable insights and practical solutions for improving supply chain performance and inventory management in the e-commerce sector. It will be of great interest to scholars and students of logistics and e-commerce and supply chain management (https://link.springer.com/book/10.1007/978-3-031-78716-4)
650			_aE-commerce _92898
650			_aSupplu chain management _925579
942			_cBK _2ddc
999			_c10501 _d10501