Salīdzināt metodes

	Agent-Based Model of Competitive Strategy	Firm Survival and Exit Analysis
Nozare	Stratēģiskā vadība	Stratēģiskā vadība
Saime	Process / pipeline	Survival analysis
Izcelsmes gads	2007	1995
Autors	Jason P. Davis, Kathleen M. Eisenhardt & Christopher B. Bingham (simulation-methods roadmap)	David B. Audretsch & Talat Mahmood; Paul A. Geroski
Tips	Agent-based computational simulation of competitive strategy	Hazard / duration model of firm survival and exit
Pirmavots	Davis, J. P., Eisenhardt, K. M., & Bingham, C. B. (2007). Developing Theory Through Simulation Methods. Academy of Management Review, 32(2), 480-499.	Audretsch, D. B., & Mahmood, T. (1995). New Firm Survival: New Results Using a Hazard Function. The Review of Economics and Statistics, 77(1), 97-103.
Citi nosaukumi	Competitive Strategy Agent-Based Simulation, Firm-Interaction Simulation Modeling, Computational Model of Competitive Dynamics, Multi-Firm Agent-Based Strategy Model	Firm Exit Hazard Modeling, Business Survival Duration Analysis, Post-Entry Firm Survival Analysis, Firm Mortality Hazard Models
Saistītās	3	3
Kopsavilkums	An agent-based model of competitive strategy represents firms as autonomous, heterogeneous, adaptive agents whose decision rules and local interactions generate emergent industry-level dynamics that no single firm designs. Davis, Eisenhardt, and Bingham's 2007 roadmap for developing theory through simulation places this kind of computational modeling in the sweet spot between inductive case research and formal mathematics, well suited to longitudinal, nonlinear, and interactive strategy phenomena. Instead of solving for an equilibrium, the analyst builds firms with strategies, lets them compete over many simulated periods, and studies the market structures, survival patterns, and performance dispersions that emerge. The method gives strategy researchers a controlled laboratory for theory building about competitive dynamics that are too complex and path-dependent for closed-form analysis.	Firm survival and exit analysis applies hazard and duration models to the question of why some firms survive and others fail, treating the age at which a firm exits the market as a time-to-event outcome. Audretsch and Mahmood's 1995 study of more than twelve thousand U.S. manufacturing establishments showed that a hazard function can relate post-entry survival not only to industry and market-structure conditions but to firm-specific characteristics such as size, innovative activity, and scale economies. Geroski's 1995 survey of entry placed this within the broader dynamics of industries, where high entry rates coexist with high exit rates and most entrants fail young. The method gives strategy researchers a rigorous way to measure the instantaneous risk of failure and to identify which firm and environmental factors push it up or down.