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Brian T. Pentland

Researcher at Michigan State University

Publications -  112
Citations -  12891

Brian T. Pentland is an academic researcher from Michigan State University. The author has contributed to research in topics: Process (engineering) & Organizational learning. The author has an hindex of 34, co-authored 107 publications receiving 11831 citations. Previous affiliations of Brian T. Pentland include University of Michigan & Saint Petersburg State University.

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Reconceptualizing Organizational Routines as a Source of Flexibility and Change

TL;DR: The authors argue that the relationship between ostensive and performative aspects of routines creates an on-going opportunity for variation, selection, and retention of new practices and patterns of action within routines and allows routines to generate a wide range of outcomes, from apparent stability to apparent stability.
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Building Process Theory with Narrative: from Description to Explanation

TL;DR: In this article, the authors use concepts from narrative theory to create a framework for analyzing structural features in narrative data, which are useful for description, but explanatory process theories must be based on deeper structures that are not directly observable.
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Organizational Routines as Grammars of Action

TL;DR: Barley et al. as mentioned in this paper explored the sequential structure of work processes in a task unit whose work involves high numbers of exceptions, low analyzability of search, frequent interruptions, and extensive deliberation and that cannot be characterized as routine under any traditional definition.
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Organizational routines as a unit of analysis

TL;DR: The importance of understanding the internal structure and dynamics of organizational routines for exploring core organizational phenomena such as stability, change, flexibility, learning and transfer is discussed.
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Tools for Inventing Organizations: Toward a Handbook of Organizational Processes

TL;DR: A novel theoretic al and empirical approach to analyzing processes at various levels of abstraction that allows people to explicitly represent the similarities among related processes and to easily find or generate sensible alternatives for how a given process could be performed.