Algorithmic routines and dynamic inertia: How organizations avoid adapting to changes in the environment

Abstract

Organizations often fail to adequately respond to substantive changes in the environment, despite widespread implementation of algorithmic routines designed to enable dynamic adaptation. We develop a theory to explain this phenomenon based on an inductive, historical case study of the credit rating routine of Moody’s, an organization that failed to adapt to substantial changes in its environment leading up to the 2008 financial crisis. Our analysis of changes to the firm’s algorithmic credit rating routine reveals mechanisms whereby organizations dynamically produce inertia by taking actions that fail to produce significant change. Dynamic inertia occurs through bounded retheorization of the algorithmic model, sedimentation of assumptions about inputs to the algorithmic model, simulation of the unknown future, and specialized compartmentalization. We enable a better understanding of organizational inertia as a sociomaterial phenomenon by theorizing how—despite using algorithmic routines to improve organizational agility—organizations dynamically produce inertia, with potentially serious adverse consequences.

Publication DOI: https://doi.org/10.1111/joms.12819
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Marketing & Strategy
Additional Information: © 2022 The Authors. CC BY 4.0
Publication ISSN: 1467-6486
Full Text Link:
Related URLs: https://onlinel ... 1111/joms.12819 (Publisher URL)
PURE Output Type: Article
Published Date: 2022-04-14
Accepted Date: 2022-04-14
Authors: Omidvar, Omid (ORCID Profile 0000-0002-5232-7940)
Safavi, Mehdi
Glaser, Vern

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