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Controlling Decision-Making Practice in Organizations

Author

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  • Kathleen M. Sutcliffe

    (Department of Organizational Behavior and Human Resource Management, The University of Michigan Business School, Ann Arbor, Michigan 48109-1234)

  • Gerry McNamara

    (Department of Management, Broad Graduate School of Management, Michigan State University, East Lansing, Michigan 48824-1122)

Abstract

How are decision practices fostered in organizations and how are they linked to decision outcomes? This study addresses these questions by examining one financial institution's efforts to standardize and control decision making across geographically separated organizational units. We argue that decision-maker behavior is situated and is not simply a function of individual choice. Rather, in organizational settings decision-makers are subject to a hierarchy of influences that affect the decision processes they use and their resulting decision choices. To test our ideas, we examined 900 borrower “risk rating” decisions and found general support for our hypotheses. Decision makers were more likely to use the prescribed practice when decisions were important, when the decision target was known, and when the decision maker was located in a larger subunit. Decision makers altered their decision practices in the short term, but in the long term they appeared to partially revert to their earlier practices. Reliance on prescribed practice fostered stability in decisions, but surprisingly appeared to negatively affect future judgments. The findings indicate that organizations can change the more microaspects of decision making, but these changes may be transitory. Moreover the results suggest that decision makers may become complacent when they rely on prescribed decision practices, a tendency that can have untoward consequences for the organizations in which they are embedded.

Suggested Citation

  • Kathleen M. Sutcliffe & Gerry McNamara, 2001. "Controlling Decision-Making Practice in Organizations," Organization Science, INFORMS, vol. 12(4), pages 484-501, August.
  • Handle: RePEc:inm:ororsc:v:12:y:2001:i:4:p:484-501
    DOI: 10.1287/orsc.12.4.484.10634
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    2. Bernroider, Edward W.N. & Schmöllerl, Patrick, 2013. "A technological, organisational, and environmental analysis of decision making methodologies and satisfaction in the context of IT induced business transformations," European Journal of Operational Research, Elsevier, vol. 224(1), pages 141-153.
    3. Lukas Michel & Johanna Anzengruber & Marco Wölfle & Nick Hixson, 2018. "Under What Conditions Do Rules-Based and Capability-Based Management Modes Dominate?," Risks, MDPI, vol. 6(2), pages 1-16, April.
    4. Indounas, Kostis & Roth, Stefan, 2012. "Antecedents and consequences of strategic price management: An analysis in the New Zealand industrial service context," Australasian marketing journal, Elsevier, vol. 20(2), pages 113-121.
    5. Welton Chang & Pavel Atanasov & Shefali Patil & Barbara A. Mellers & Philip E. Tetlock, 2017. "Accountability and adaptive performance under uncertainty: A long-term view," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(6), pages 610-626, November.
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    8. Irena Ali & Mathew Zuparic & Iain Macleod & Phuong La & Yi Yue, 2017. "Complex socio-organisational phenomena and ill-defined problem spaces: a multi-method approach to the rescue," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 919-934, August.
    9. Catherine Durnell Cramton & Tine Köhler & Raymond E. Levitt, 2021. "Using scripts to address cultural and institutional challenges of global project coordination," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(1), pages 56-77, February.
    10. Anna Khripunova & Konstantin Vishnevskiy & Oleg Karasev & Dirk Meissner, 2013. "Intelligent data systems to aid decision-making at tenders for oil and gas fields development," HSE Working papers WP BRP 07/STI/2013, National Research University Higher School of Economics.
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