Agent-based strategizing
Duncan A. Robertson.
Bok Engelsk 2019 · Electronic books.
| Utgitt | Cambridge University Press
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|---|---|
| Omfang | 1 online resource (49 pages) : : digital, PDF file(s).
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| Utgave | 1st ed.
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| Opplysninger | Title from publisher's bibliographic system (viewed on 17 Jul 2019).. - Cover -- Title page -- Copyright page -- Agent-Based Strategizing -- Contents -- Introduction -- 1 Agent-Based Models -- 1.1 Agent-Based Modelling: a Primer -- 1.2 Complexity Science -- 1.3 Tipping Effects, Cascades, Contagion, and Emergence -- 2 Antecedents: the World of Agent-Based Models -- 2.1 Economic Models -- 2.2 Systems Models -- 2.3 Organizational Ecology -- 2.4 Biological Models and Fitness Landscapes: Rugged and Smooth Landscapes -- 3 Into the Strategic Literature -- 3.1 The NK Model -- 3.2 The NK Model: Applications and Framing of Strategic Problems -- Levinthal (1997) - Adaptation on Rugged Landscapes -- Levinthal and Warglien (1999) - Landscape Design: Designing for Local Action in Complex Worlds -- McKelvey (1999) - Avoiding Complexity Catastrophe in Co-evolutionary Pockets: Strategies for Rugged Landscapes -- Rivkin (2000) - Imitation of Complex Strategies -- Rivkin (2001) - Reproducing Knowledge: Replication without Imitation at Moderate Complexity -- Rivkin and Siggelkow (2003) - Balancing Search and Stability: Interdependencies among Elements of Organizational Design -- Siggelkow and Levinthal (2003) - Temporarily Divide to Conquer: Centralized, Decentralized and Reintegrated Organizational Approaches to Exploration and Adaptation -- Gavetti, Levinthal, and Rivkin (2005) - Strategy Making in Novel and Complex Worlds: the Power of Analogy -- Siggelkow and Rivkin (2006) - When Exploration Backfires: Unintended Consequences of Multilevel Organizational Search -- and Rivkin and Siggelkow (2006) - Organizing to Strategize in the Face of Interactions: Preventing Premature Lock-In -- Lenox, Rockart, and Lewin (2006) - Interdependency, Competition and the Distribution of Firm and Industry Profits -- Gavetti, Helfat, and Marengo (2017) - Searching, Shaping and the Quest for Superior Performance -- 3.3 Other Rugged Landscape Models.. - Product Space Creating the Landscape -- 3.4 Other Agent-Based Strategic Management Models -- Intra-organizational Knowledge Sharing -- Threshold Models - No Social Influence: Individuals Respond to Community Parameter -- 4 An Agenda for the Future -- 4.1 Dynamic Feedback Models -- 4.2 Competitive Models -- 4.3 Turning Existing Analytical Models into Agent-Based Models -- 4.4 Agent-Based Models on Networks -- 4.5 Inter-species Populations and Inter-firm Competition -- 4.6 Punctuated Equilibrium Models, Isomorphism and the Spread of Norms -- References -- Appendix: PRISMA Methodology.. - Strategic management is a system of continual disequilibrium, with firms in a continual struggle for competitive advantage and relative fitness. Models that are dynamic in nature are required if we are to really understand the complex notion of sustainable competitive advantage. New tools are required to tackle challenges of how firms should compete in environments characterized by both exogeneous shocks and intense endogenous competition. Agent-based modelling of firms' strategies offers an alternative analytical approach, where individual firm or component parts of a firm are modelled, each with their own strategy. Where traditional models can assume homogeneity of actors, agent-based models simulate each firm individually. This allows experimentation of strategic moves, which is particularly important where reactions to strategic moves are non-trivial. This Element introduces agent-based models and their use within management, reviews the influential NK suite of models, and offers an agenda for the development of agent-based models in strategic management.
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 1-108-76783-4
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