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Learning To Incentivize In Different Modes Of Coordination

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  • FRIEDERIKE WALL

    (Department of Management Control and Strategic Management, Alpen-Adria-Universitaet Klagenfurt, Universitaetsstrasse 65-67, 9020 Klagenfurt, Austria)

Abstract

The paper studies which incentive systems emerge in organizations when self-interested managers collaboratively search for higher levels of organizational performance and the headquarters learn about the success of the incentive systems employed. The study uses an agent-based simulation and, in particular, controls for different levels of intra-organizational complexity and modes of coordination, i.e., the way how preferences on the departmental site are aligned with each other in respect to the overall organizational objective. The results indicate that for different levels of intra-organizational complexity different incentive systems emerge: With lower intra-organizational complexity, in tendency, the less focus is put on firm performance and vice versa. However, results also suggest that the mode of coordination may considerably affect the emergence of the incentive structure. This provides support for the idea that multiple management controls, like the incentive system and the mode of coordination, should be regarded and designed as a system with interrelations among its components and not just as a collection of several control practices.

Suggested Citation

  • Friederike Wall, 2017. "Learning To Incentivize In Different Modes Of Coordination," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(02n03), pages 1-29, March.
  • Handle: RePEc:wsi:acsxxx:v:20:y:2017:i:02n03:n:s0219525917500035
    DOI: 10.1142/S0219525917500035
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    References listed on IDEAS

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    1. Friederike Wall, 2010. "The (Beneficial) Role of Informational Imperfections in Enhancing Organisational Performance," Lecture Notes in Economics and Mathematical Systems, in: Marco Li Calzi & Lucia Milone & Paolo Pellizzari (ed.), Progress in Artificial Economics, pages 115-126, Springer.
    2. Giovanni Dosi & Daniel A. Levinthal & Luigi Marengo, 2003. "Bridging contested terrain: linking incentive-based and learning perspectives on organizational evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(2), pages 413-436, April.
    3. Sah, Raaj Kumar & Stiglitz, Joseph E, 1986. "The Architecture of Economic Systems: Hierarchies and Polyarchies," American Economic Review, American Economic Association, vol. 76(4), pages 716-727, September.
    4. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
    5. Nicolaj Siggelkow & Jan W. Rivkin, 2005. "Speed and Search: Designing Organizations for Turbulence and Complexity," Organization Science, INFORMS, vol. 16(2), pages 101-122, April.
    6. Banker, Rd & Datar, Sm, 1989. "Sensitivity, Precision, And Linear Aggregation Of Signals For Performance Evaluation," Journal of Accounting Research, Wiley Blackwell, vol. 27(1), pages 21-39.
    7. Murphy, Kevin J., 2000. "Performance standards in incentive contracts," Journal of Accounting and Economics, Elsevier, vol. 30(3), pages 245-278, December.
    8. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    9. Bushman, RM & Indjejikian, RJ & Smith, A, 1995. "Aggregate performance measures in business unit manager compensation: The role of intrafirm interdependencies," Journal of Accounting Research, Wiley Blackwell, vol. 33, pages 101-128.
    10. Lambert, Richard A., 2001. "Contracting theory and accounting," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 3-87, December.
    11. Grabner, Isabella & Moers, Frank, 2013. "Management control as a system or a package? Conceptual and empirical issues," Accounting, Organizations and Society, Elsevier, vol. 38(6), pages 407-419.
    12. Davila, Tony, 2005. "An exploratory study on the emergence of management control systems: formalizing human resources in small growing firms," Accounting, Organizations and Society, Elsevier, vol. 30(3), pages 223-248, April.
    13. Omar A. Guerrero & Robert L. Axtell, 2011. "Using Agentization for Exploring Firm and Labor Dynamics," Lecture Notes in Economics and Mathematical Systems, in: Sjoukje Osinga & Gert Jan Hofstede & Tim Verwaart (ed.), Emergent Results of Artificial Economics, pages 139-150, Springer.
    14. Jan W. Rivkin & Nicolaj Siggelkow, 2007. "Patterned Interactions in Complex Systems: Implications for Exploration," Management Science, INFORMS, vol. 53(7), pages 1068-1085, July.
    15. Brenner, Thomas, 2006. "Agent Learning Representation: Advice on Modelling Economic Learning," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 18, pages 895-947, Elsevier.
    16. Robert Axtell, 2007. "What economic agents do: How cognition and interaction lead to emergence and complexity," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 20(2), pages 105-122, September.
    17. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    18. Nicolaj Siggelkow, 2002. "Misperceiving Interactions Among Complements and Substitutes: Organizational Consequences," Management Science, INFORMS, vol. 48(7), pages 900-916, July.
    19. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
    20. Bennett Levitan & Stuart Kauffman, 1995. "Adaptive Walks with Noisy Fitness Measurements," Working Papers 95-04-039, Santa Fe Institute.
    21. Marco Li Calzi & Lucia Milone & Paolo Pellizzari (ed.), 2010. "Progress in Artificial Economics," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-13947-5, December.
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    Cited by:

    1. Friederike Wall, 2021. "Modeling Managerial Search Behavior based on Simon's Concept of Satisficing," Papers 2104.14002, arXiv.org, revised May 2021.
    2. 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.

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