IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2009.04912.html
   My bibliography  Save this paper

On the Effectiveness of Minisum Approval Voting in an Open Strategy Setting: An Agent-Based Approach

Author

Listed:
  • Joop van de Heijning
  • Stephan Leitner
  • Alexandra Rausch

Abstract

This work researches the impact of including a wider range of participants in the strategy-making process on the performance of organizations which operate in either moderately or highly complex environments. Agent-based simulation demonstrates that the increased number of ideas generated from larger and diverse crowds and subsequent preference aggregation lead to rapid discovery of higher peaks in the organization's performance landscape. However, this is not the case when the expansion in the number of participants is small. The results confirm the most frequently mentioned benefit in the Open Strategy literature: the discovery of better performing strategies.

Suggested Citation

  • Joop van de Heijning & Stephan Leitner & Alexandra Rausch, 2020. "On the Effectiveness of Minisum Approval Voting in an Open Strategy Setting: An Agent-Based Approach," Papers 2009.04912, arXiv.org, revised Sep 2020.
    • Handle: RePEc:arx:papers:2009.04912
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2009.04912
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    2. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.
    3. Felipe A. Csaszar, 2018. "A note on how NK landscapes work," Journal of Organization Design, Springer;Organizational Design Community, vol. 7(1), pages 1-6, December.
    4. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    5. R. Whittington & Ludovic Cailluet & B. Yakis-Douglas, 2011. "Opening Strategy: Evolution of a Precarious Profession," Post-Print halshs-00738389, HAL.
    6. Verel, Sébastien & Liefooghe, Arnaud & Jourdan, Laetitia & Dhaenens, Clarisse, 2013. "On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives," European Journal of Operational Research, Elsevier, vol. 227(2), pages 331-342.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Friederike Wall, 2015. "Beneficial Effects Of Randomized Organizational Change On Performance," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 18(05n06), pages 1-23, August.
    2. Ravshanbek Khodzhimatov & Stephan Leitner & Friederike Wall, 2022. "Controlling replication via the belief system in multi-unit organizations," Papers 2206.03786, arXiv.org.
    3. Friederike Wall, 2023. "Modeling managerial search behavior based on Simon’s concept of satisficing," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 265-299, June.
    4. Friederike Wall, 2021. "Modeling Managerial Search Behavior based on Simon's Concept of Satisficing," Papers 2104.14002, arXiv.org, revised May 2021.
    5. Teppo Felin & Stuart Kauffman & Roger Koppl & Giuseppe Longo, 2014. "Economic Opportunity and Evolution: Beyond Landscapes and Bounded Rationality," Post-Print hal-01415115, HAL.
    6. Felipe A. Csaszar & Daniel A. Levinthal, 2016. "Mental representation and the discovery of new strategies," Strategic Management Journal, Wiley Blackwell, vol. 37(10), pages 2031-2049, October.
    7. Phebo D. Wibbens, 2023. "A formal framework for the RBV: Resource dynamics as a Markov process," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1562-1586, June.
    8. Stefan N. Groesser & Niklas Jovy, 2016. "Business model analysis using computational modeling: a strategy tool for exploration and decision-making," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 27(1), pages 61-88, February.
    9. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    10. Christina Fang & Daniel Levinthal, 2009. "Near-Term Liability of Exploitation: Exploration and Exploitation in Multistage Problems," Organization Science, INFORMS, vol. 20(3), pages 538-551, June.
    11. Grove, Nico & Baumann, Oliver, 2011. "Bitpipe vs. service: Why do pure service providers outperform fully integrated operators?," 8th ITS Asia-Pacific Regional Conference, Taipei 2011: Convergence in the Digital Age 52308, International Telecommunications Society (ITS).
    12. Oliver Baumann, 2015. "Models of complex adaptive systems in strategy and organization research," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 169-183, November.
    13. Dirk Martignoni & Thomas Keil & Markus Lang, 2020. "Focus in Searching Core–Periphery Structures," Organization Science, INFORMS, vol. 31(2), pages 266-286, March.
    14. Daniel A. Levinthal & Maciej Workiewicz, 2018. "When Two Bosses Are Better Than One: Nearly Decomposable Systems and Organizational Adaptation," Organization Science, INFORMS, vol. 29(2), pages 207-224, April.
    15. Sendil K. Ethiraj & Daniel Levinthal, 2009. "Hoping for A to Z While Rewarding Only A: Complex Organizations and Multiple Goals," Organization Science, INFORMS, vol. 20(1), pages 4-21, February.
    16. Giovanni. Gavetti & Daniel A. Levinthal, 2004. "50th Anniversay Article: The Strategy Field from the Perspective of Management Science: Divergent Strands and Possible Integration," Management Science, INFORMS, vol. 50(10), pages 1309-1318, October.
    17. Feduzi, Alberto & Runde, Jochen, 2014. "Uncovering unknown unknowns: Towards a Baconian approach to management decision-making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 268-283.
    18. Stephan Billinger & Kannan Srikanth & Nils Stieglitz & Terry R. Schumacher, 2021. "Exploration and exploitation in complex search tasks: How feedback influences whether and where human agents search," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 361-385, February.
    19. Oliver Baumann & Nicolaj Siggelkow, 2013. "Dealing with Complexity: Integrated vs. Chunky Search Processes," Organization Science, INFORMS, vol. 24(1), pages 116-132, February.
    20. Pascal Le Masson & Armand Hatchuel & Mario Le Glatin & Benoit Weil, 2018. "Designing Decisions In The Unknown: Towards A Generative Decision Model For Management Science," Post-Print hal-01937103, HAL.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2009.04912. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.