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Theory Development Via Replicated Simulations and the Added Value of Standards

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Abstract

Using the agent-based model of Miller et al. (2012), which depicts how different types of individuals’ memory affect the formation and performance of organizational routines, we show how a replicated simulation model can be used to develop theory. We also assess how standards, such as the ODD (Overview, Design concepts, and Details) protocol and DOE (design of experiments) principles, support the replication, evaluation, and further analysis of this model. Using the verified model, we conduct several simulation experiments as examples of different types of theory development. First, we show how previous theoretical insights can be generalized by investigating additional scenarios, such as mergers. Second, we show the potential of replicated simulation models for theory refinement, such as analyzing in-depth the relationship between memory functions and routine performance or routine adaptation.

Suggested Citation

  • Jonas Hauke & Sebastian Achter & Matthias Meyer, 2020. "Theory Development Via Replicated Simulations and the Added Value of Standards," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-12.
    • Handle: RePEc:jas:jasssj:2019-23-3
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    1. Koen H. Heimeriks & Mario Schijven & Stephen Gates, 2012. "Manifestations of Higher-Order Routines: The Underlying Mechanisms of Deliberate Learning in the Context of Postacquisition Integration," Post-Print hal-00859930, HAL.
    2. Brian Heath & Raymond Hill & Frank Ciarallo, 2009. "A Survey of Agent-Based Modeling Practices (January 1998 to July 2008)," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-9.
    3. Jonas Hauke & Iris Lorscheid & Matthias Meyer, 2017. "Recent Development of Social Simulation as Reflected in JASSS Between 2008 and 2014: A Citation and Co-Citation Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-5.
    4. Martha S. Feldman & Anat Rafaeli, 2002. "Organizational Routines as Sources of Connections and Understandings," Journal of Management Studies, Wiley Blackwell, vol. 39(3), pages 309-331, May.
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    Cited by:

    1. 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.
    2. Li An & Volker Grimm & Billie L. Turner II, 2020. "Editorial: Meeting Grand Challenges in Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(1), pages 1-13.

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