Evidence-based modelling of hybrid organizational strategies

Malcolm J. Beynon, Rhys Andrews, George A. Boyne

    Research output: Contribution to journalArticle

    6 Citations (Scopus)

    Abstract

    Organizations frequently adopt multiple strategies to satisfy conflicting and competing goals. Modeling the organizational characteristics associated with such hybrid strategies is an important challenge for organization scientists. This study proposes the use of a novel evidence-based computational approach to the ambiguous classification of organizations (N-state Classification and Ranking Belief Simplex or NCaRBS) to model hybrid organizational strategies. Drawing on the Dempster–Shafer theory of evidence methodology, the computational mechanics of NCaRBS are illustrated by modelling hybrid configurations of Miles and Snow’s (Organizational strategy, structure and process, 1978) classic strategic stances: prospecting, defending and reacting. Analysis is carried out using data on the characteristics of over 100 organizations. The results show that NCaRBS is uniquely able to demonstrate the full range of ambiguity in the relationships between contingent organizational characteristics. Further potential applications of NCaRBS in the field of computational and mathematical organization theory are discussed.

    Original languageEnglish
    Pages (from-to)1-23
    Number of pages23
    JournalComputational and Mathematical Organization Theory
    Volume21
    Issue number1
    Early online date27 May 2014
    DOIs
    Publication statusPublished - 2015

    Fingerprint

    Modeling
    Theory of Evidence
    Hybrid Modeling
    Computational Mechanics
    Computational mechanics
    Hybrid Model
    Ambiguous
    Ranking
    Snow
    Configuration
    Evidence
    Strategy
    Evidence-based
    Organizational characteristics
    Organizational strategy
    Methodology
    Range of data
    Demonstrate
    Hybrid model
    Organization theory

    Keywords

    • Artificial intelligence
    • CaRBS
    • Computational organization theory
    • Data analysis
    • Dempster–Shafer theory
    • Nonparametric
    • Strategy
    • Structures

    ASJC Scopus subject areas

    • Decision Sciences(all)
    • Computer Science(all)
    • Modelling and Simulation
    • Computational Mathematics
    • Applied Mathematics

    Cite this

    Evidence-based modelling of hybrid organizational strategies. / Beynon, Malcolm J.; Andrews, Rhys; Boyne, George A.

    In: Computational and Mathematical Organization Theory, Vol. 21, No. 1, 2015, p. 1-23.

    Research output: Contribution to journalArticle

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