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Autonomy, Conformity and Organizational Learning

Bibliographic Data

ID19035583
AuthorsNobuyuki Hanaki (0000-0003-3127-690X, Aix Marseille University (Aix Marseille School of Economics), CNRS, EHESS and IUF. 2 Rue de la Charité, Marseille 13002, France, corresponding author), Hideo Owan (0000-0002-0632-2372, Institute of Social Science, University of Tokyo. 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan)
Year2013
Volume3
Issue3
Pages32-52
Publication date2013-07-05
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAdministrative Sciences (JOURNAL)
Journal identifiersISSN: 2076-3387 • E-ISSN: 2076-3387
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/admsci3030032
OpenAlexW1995914089
LanguageEN
Citations received2
References cited22

There is often said to be a tension between the two types of organizational learning activities, exploration and exploitation. The argument goes that the two activities are substitutes, competing for scarce resources when firms need different capabilities and management policies. We present another explanation, attributing the tension to the dynamic interactions among search, knowledge sharing, evaluation and alignment within organizations. Our results show that successful organizations tend to bifurcate into two types: those that always promote individual initiatives and build organizational strengths on individual learning and those good at assimilating the individual knowledge base and exploiting shared knowledge. Straddling the two types often fails. The intuition is that an equal mixture of individual search and assimilation slows down individual learning, while at the same time making it difficult to update organizational knowledge because individuals’ knowledge base is not sufficiently homogenized. Straddling is especially inefficient when the operation is sufficiently complex or when the business environment is sufficiently turbulent

Autonomy · Business · Conformity · Knowledge management · Organizational learning · Organizational performance · Political science · Business Strategy and Innovation · Computer Science · Innovation and Knowledge Management · Intellectual Capital and Performance Analysis · Psychology · Social Psychology

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Unique citing works2
Citations per year0,67
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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