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Using agent-based modeling in routine dynamics research: a quantitative and content analysis of literature

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  • Dehua Gao

    (Shandong Technology and Business University)

  • Aliakbar Akbaritabar

    (Max Planck Institute for Demographic Research (MPIDR))

Abstract

This paper presents an overview of all scientific contributions using agent-based modeling (ABM) methodology in routine dynamics research. That is a specialized area of study and our extensive literature search revealed only a total of 12 contributions. We did a quantitative analysis of these published literature using co-authorship, cross-citation and bibliographic coupling methods. We then complemented the overview with a content analysis of substantial focus of these literatures. We summarized their findings and showed how ABM is applied in routine dynamics research. By elaborating on what has been done, we provide an overview of this newly emerging research field and present possible directions for future work. Even though there are only a few publications in this research field, we expect that dialogue between ABM modelers and routine scholars would be beneficial to promote the development in this area. It would be conducive to advancing the understanding of complex internal structure, processes and dynamics of organizational routines.

Suggested Citation

  • Dehua Gao & Aliakbar Akbaritabar, 2022. "Using agent-based modeling in routine dynamics research: a quantitative and content analysis of literature," Review of Managerial Science, Springer, vol. 16(2), pages 521-550, February.
    • Handle: RePEc:spr:rvmgts:v:16:y:2022:i:2:d:10.1007_s11846-021-00446-z
    DOI: 10.1007/s11846-021-00446-z
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