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1. |
Record Nr. |
UNINA9910794058703321 |
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Autore |
Jeavons Brad |
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Titolo |
Agile sales : delivering customer journeys of value and delight / / authored by Brad Jeavons ; edited by Emily Jeavons |
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Pubbl/distr/stampa |
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New York, New York ; ; Abingdon, Oxon : , : Routledge, , [2020] |
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©2020 |
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ISBN |
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1-000-05650-3 |
0-367-81691-1 |
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Descrizione fisica |
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1 online resource (xxxi, 170 pages) : illustrations |
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Disciplina |
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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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Sommario/riassunto |
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"The Agile philosophy has grown and achieved success initially through the Technology Design and Development teams of some of the world's largest organizations including Google, Netflix, and Microsoft. Recently, it has been adopted by the marketing departments of these organizations and others and new techniques are evolving for defining, engaging and providing customers amazing unique experiences. Sales teams are becoming disrupted by technology and the differentiated experiences marketing teams using Agile techniques are building for their customers online. Sales organizations have been looking for a way to avoid disruption and get back into the game with value. Agile is now starting to be adopted by sales teams, enabling these teams to revolutionize the way they engage customers with value and delighting experiences which result in greater value for the customer and themselves. This book outlines how Agile can help sales teams develop a culture of innovation focused on their customers. The book takes the reader through the customer buying journey (Agile technique) outlining tips and tricks that have come from Agile deployments within sales functions to help them get started. The key benefit for the reader is the introduction of a proven philosophy and techniques that will help them avoid disruption, elevate themselves from the commodity trap and |
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achieve success again. The book provides the reader insights into how to achieve sustainable change using real life case examples. The reader will also gain enjoyment and delight through the stories told and case examples provided"-- |
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2. |
Record Nr. |
UNINA9910484560703321 |
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Autore |
Cheng Chi-Bin |
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Titolo |
Fuzzy and Multi-Level Decision Making: Soft Computing Approaches / / by Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[2nd ed. 2019.] |
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Descrizione fisica |
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1 online resource (XI, 219 p. 29 illus., 8 illus. in color.) |
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Collana |
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Studies in Fuzziness and Soft Computing, , 1860-0808 ; ; 368 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Operations research |
Computer simulation |
Business logistics |
Industrial Management |
Computational Intelligence |
Operations Research and Decision Theory |
Computer Modelling |
Supply Chain Management |
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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 contenuto |
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Introduction -- Linear Bi-level Programming -- Possibility Theory and Fuzzy Optimization -- Fuzzy Interactive Multi-level Decision Making -- Aggregation of Fuzzy Systems in Multi-level Decisions -- Multi-level Optimization by Fuzzy Dynamic Programming -- Auction Mechanisms for Solving Multi-level Programming -- Neural Networks for Solving Multi-level Programming -- Metaheuristics for Multi-level Optimization. |
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Sommario/riassunto |
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This book offers a comprehensive overview of cutting-edge approaches |
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for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization. |
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