Erhältlich:
Nicht auf Lager
Buch (Hardcover): Fachbuch
The Oxford Handbook of Agent-based Computational Management Science
Verlag:
Oxford University Press Unsere-Artikel-Nr.: P36205997
EAN: 9780197668122
Erhältlich:
Nicht auf Lager
Zustellung: Fr, 09.10.2026
Versand: Kostenlos
-16.2 %
CHF 210.–
CHF 176.–
Beschreibung
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.