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The Resistible Rise of Bayesian Thinking in Management : Historical Lessons From Decision Analysis

Cabantous, Laure - ; Jean-Pascal Gond - ;

This paper draws from a case study of decision analysis?a discipline rooted in Bayesianism aimed at supporting managerial decision making?to inform the current discussion on the adoption of Bayesian modes of thinking in management research and practice. Relying on concepts from the science, technology, and society field of study and actor-network theory, we approach the production of scientific knowledge as a cultural, practical, and material affair. Specifically, we analyze the activities deployed by decision analysts to overcome the challenges of making a discipline built on Bayes? legacy scientifically acceptable, managerially relevant, and long lasting. As a novel contribution to the discussion on the ?Bayesian revolution,? our study goes beyond institutional accounts of the legitimation of Bayesianism to highlight the role of politics and material artifacts in past and current attempts at importing Bayesianism. Our study also shows the importance of historical continuity in the promotion of Bayesian methods in management.


Ketersediaan

Call NumberLocationAvailable
JOM4102PSB lt.dasar - Pascasarjana (Majalah)1
PenerbitUnited States: Sage Publication 2015
EdisiVol. 41, No. 2, Feb 2015
SubjekDecision theory
network theory
actor
Bayes
boundary objects
boundary organizations
history of management science
translation
ISBN/ISSN1557-1211
KlasifikasiNONE
Deskripsi Fisik760 p.
Info Detail SpesifikJournal of Management
Other Version/RelatedTidak tersedia versi lain
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