• DocumentCode
    419054
  • Title

    Investigating organizational strategic inertia using a particle swarm model

  • Author

    Brabazon, Anthony ; Silva, Arlindo ; De Sousa, Tiago Ferrd ; O´Neill, Maire ; Matthews, Robin ; Costa, Emesto

  • Author_Institution
    Fac. of Commerce, Univ. Coll. Dublin, Ireland
  • Volume
    1
  • fYear
    2004
  • fDate
    19-23 June 2004
  • Firstpage
    652
  • Abstract
    The key task of corporate strategists is to uncover and implement viable strategies for their organization. This is a difficult task for several reasons, including uncertainty as to future payoffs, and strategic inertia. This study, using a swarm metaphor, constructs a simulation model to examine the impact of strategic inertia on the adaptation of the strategic fitness of a population of organizations. The results suggest that a degree of strategic inertia, in the presence of an election operator, can assist rather than hamper adaptive efforts of organizations in static and slowly changing environments.
  • Keywords
    corporate modelling; evolutionary computation; management of change; organisational aspects; strategic planning; election operator; organizational adaptation; organizational configuration; organizational strategy; particle swarm model; strategic fitness; strategic inertia; swarm metaphor; Business; Chemistry; Educational institutions; Feedback; Interconnected systems; Nominations and elections; Particle swarm optimization; Robustness; Topology; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2004. CEC2004. Congress on
  • Print_ISBN
    0-7803-8515-2
  • Type

    conf

  • DOI
    10.1109/CEC.2004.1330920
  • Filename
    1330920