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1. |
Record Nr. |
UNINA9910783965903321 |
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Autore |
Goetschel Laurent |
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Titolo |
Swiss foreign policy : foundations and possibilities / / Laurent Goetschel, Magdalena Bernath and Daniel Schwarz |
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Pubbl/distr/stampa |
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London ; ; New York : , : Routledge, , 2005 |
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ISBN |
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1-134-27611-7 |
1-134-27612-5 |
1-280-10267-5 |
0-203-33956-8 |
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Descrizione fisica |
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1 online resource (xii, 211 pages) : illustrations |
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Classificazione |
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Altri autori (Persone) |
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BernathMagdalena <1965-> |
SchwarzDaniel <1975-> |
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Disciplina |
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Soggetti |
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Switzerland Foreign relations 1945- |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [180]-196) and index. |
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Nota di contenuto |
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Book Cover; Title; Contents; List of illustrations; Acknowledgements; Abbreviations; Introduction; Theoretical bases; Foreign policy and foreign policy analysis; Role concepts of Swiss foreign policy; Institutions and decision-making processes; Institutional bases; Foreign policy decision-making processes; Policy fields; Policy toward Europe; Peace and security policy; Development policy; Foreign trade policy; Conflicting goals and coherence in foreign policy; Conclusions; Notes; Bibliography; Appendix; Index; |
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Sommario/riassunto |
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The book is essential reading to all those interested in foreign policy analysis, the relationship between democracy and international relations, the significance of being a small state in contemporary Europe and the specificities of the Swiss |
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2. |
Record Nr. |
UNINA9910746082903321 |
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Titolo |
Applications of Emerging Technologies and AI/ML Algorithms : International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) / / edited by Manoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (402 pages) |
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Collana |
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Asset Analytics, Performance and Safety Management, , 2522-5170 |
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Disciplina |
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Soggetti |
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Business logistics |
Business - Data processing |
Industrial procurement |
Machine learning |
Quantitative research |
Supply Chain Management |
Business Analytics |
Procurement |
Machine Learning |
Data Analysis and Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Chapter 1: Q-Learning Approach to Mitigate Bacterial Contamination in Food Supply Chain -- Chapter 2: Optimization of Network Planning in a Real-Life Vehicle Logistics Distribution System -- Chapter 3: Efficient Supplier Selection in e-Procurement Reverse Auction using Graph Based Model -- Chapter 4: Role of E-procurement and Blockchains in Government Tendering- A Case of China Omnichannel distribution network design for fresh-food procurement considering freshness keeping effort and food quality loss. |
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Sommario/riassunto |
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This book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain |
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management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors. |
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