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Publicado por Oxford University Press, 2026
ISBN 10: 0197668127 ISBN 13: 9780197668122
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Añadir al carritohardcover. Condición: Fine.
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Publicado por Oxford University Press, 2026
ISBN 10: 0197668127 ISBN 13: 9780197668122
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Publicado por Oxford University Press, 2026
ISBN 10: 0197668127 ISBN 13: 9780197668122
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Publicado por Oxford University Press, 2026
ISBN 10: 0197668127 ISBN 13: 9780197668122
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Idioma: Inglés
Publicado por Oxford University Press, 2026
ISBN 10: 0197668127 ISBN 13: 9780197668122
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Añadir al carritoHardcover. Condición: Brand New. 488 pages. 7.16x1.46x10.01 inches. In Stock.
Idioma: Inglés
Publicado por Oxford University Press, 2026
ISBN 10: 0197668127 ISBN 13: 9780197668122
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Idioma: Inglés
Publicado por Oxford University Press Inc, New York, 2026
ISBN 10: 0197668127 ISBN 13: 9780197668122
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Añadir al carritoHardcover. Condición: new. Hardcover. Over the past few decades, agent-based modelling and agent-based computational technologies have spread into research on business and management. Agent-based modelling takes account of individual behavior alongside interactions within and across organizations and their competitive environment, seeking to explain complex, macro-level patterns emerging from micro-level behavior. These characteristics make an agent-based approach useful for studying a number of openissues in management, including adaptive behavior and dynamics in and across organizations, variable outcomes caused by management practices, and bridging micro-and macro-levels in organizationalanalysis.In The Oxford Handbook of Agent-based Computational Management Science, Friederike Wall, Shu-Heng Chen, and Stephan Leitner bring together a wide array of experts in the field to give a comprehensive overview of this novel approach in management science. In particular, the volume focuses on adaptive behavior and dynamics in and across organizations, non-linearities caused by management practices, and bridging micro-and macro-levels in organizationalanalysis. The Handbook addresses two purposes of agent-based approaches in management science. First, the volume shows how an agent-based approach advances theory-building in management. Second, it provides anoverview of agent-based technologies employed for more practical issues in management. These comprise, for example, a normative understanding of systems design, such as determining which designs provide good results.An indispensable resource on agent-based modeling in management science, this Handbook introduces its current state from theoretical and operational perspectives and discusses its future opportunities. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 488 pages. 7.16x1.46x10.01 inches. In Stock.
Idioma: Inglés
Publicado por Oxford University Press Feb 2026, 2026
ISBN 10: 0197668127 ISBN 13: 9780197668122
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 295,50
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Añadir al carritoBuch. Condición: Neu. Neuware - Over the past few decades, agent-based modelling and agent-based computational technologies have spread into research on business and management. Agent-based modelling takes account of individual behavior alongside interactions within and across organizations and their competitive environment, seeking to explain complex, macro-level patterns emerging from micro-level behavior. These characteristics make an agent-based approach useful for studying a number of open issues in management, including adaptive behavior and dynamics in and across organizations, variable outcomes caused by management practices, and bridging micro-and macro-levels in organizational analysis.In The Oxford Handbook of Agent-based Computational Management Science, Friederike Wall, Shu-Heng Chen, and Stephan Leitner bring together a wide array of experts in the field to give a comprehensive overview of this novel approach in management science. In particular, the volume focuses on adaptive behavior and dynamics in and across organizations, non-linearities caused by management practices, and bridging micro-and macro-levels in organizational analysis. The Handbook addresses two purposes of agent-based approaches in management science. First, the volume shows how an agent-based approach advances theory-building in management. Second, it provides an overview of agent-based technologies employed for more practical issues in management. These comprise, for example, a normative understanding of systems design, such as determining which designs provide good results.An indispensable resource on agent-based modeling in management science, this Handbook introduces its current state from theoretical and operational perspectives and discusses its future opportunities.