Investigating Strategic Inertia Using OrgSwarm

Authors

Anthony Brabazon
Arlindo Silva
Tiago Sousa
Michael O'Neill
Robin Matthews
Ernesto Costa

Abstract

This study describes a novel simulation model (OrgSwarm) of the process of strategic adaptation. Strategic adaptation is conceptualized as a process of adaptation (search), on a landscape of strategic possibilities, by a population of profit-seeking organizations. Unfortunately, the characteristics that make organizations coherent and viable such as organizational structure and shared organizational culture, also create strategic inertia, potentially limiting the ability of organizations to adapt. This study examines the impact of
strategic inertia on the adaptive potential of organizations. The simulation results suggest that a degree of strategic inertia can assist rather than hamper adaptive efforts in static and slowly changing strategic environments.

Subject

Particle Swarm Optimization

Journal

Informatica, #29, pp. 125-141, January 2005

Cited by

Year 2010 : 2 citations

Alec Banks, Jonathan Vincent (2010). Hybridisation of particle swarm optimisation with area concentrated search.International Journal of Knowledge-Based and Intelligent Engineering Systems, Volume 14, Number 2, pp. 95-114, IOS Press, 2010.

Alan Godoy Souza Mello (2010). Aplicação de Redes Complexas para a Definição de Vizinhança na Otimização por Enxame de Partículas. Tese de Mestrado, Universidade Estadual de Campinas, 2010.

Year 2008 : 1 citations

Alec Banks, Jonathan Vincent and Chukwudi Anyakoha (2008). A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications.
Natural Computing, Computer Science, Volume 7, Number 1, pp. 109-124, Springer 2008.

Year 2007 : 2 citations

Alec Banks , Jonathan Vincent and Chukwudi Anyakoha, A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications. Publisher Springer Netherlands, 2007.

Xiaohui Cui and Thomas E. Potok (2007): A Particle Swarm Social Model for Multi-Agent Based Insurgency
Warfare Simulation. Fifth International Conference on Software Engineering Research, Management and Applications. pp. 177-183, IEEE Press, 2007.