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Cognition and Capabilities: A Multi-Level Perspective

delete2013-06-01
delete361
PRE
AI
J
J. P. Eggers *
S
Sarah Kaplan
DOI:10.1080/19416520.2013.769318delete
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摘要

摘要

En 中文
Research on managerial cognition and on organizational capabilities has essentially developed in two parallel tracks. We know much from the resource-based view about the relationship between capabilities and organizational performance. Separately, managerial cognition scholars have shown how interpretations of the environment shape organizational responses. Only recently have scholars begun to link the two sets of insights. These new links suggest that routines and capabilities are based in particular understandings about how things should be done, that the value of these capabilities is subject to interpretation, and that even the presence of capabilities may be useless without managerial interpretations of their match to the environment. This review organizes these emerging insights in a multi-level cognitive model of capability development and deployment. The model focuses on the recursive processes of constructing routines (capability building blocks), assembling routines into capabilities, and matching capabilities to perceived opportunities. To date, scholars have focused most attention on the organizational-level process of matching. Emerging research on the microfoundations of routines contributes to the micro-level of analysis. The lack of research on capability assembly leaves the field without a bridge connecting the macro and micro levels. The model offers suggestions for research directions to address these challenges.
Keyword:
TRANSACTIVE MEMORY-SYSTEMS
RESEARCH-AND-DEVELOPMENT
RESOURCE-BASED VIEW
ORGANIZATIONAL ROUTINES
DYNAMIC CAPABILITIES
STRATEGIC CHANGE
COMPETITIVE ADVANTAGE
MANAGERIAL COGNITION
ABSORPTIVE-CAPACITY
OPPORTUNITY IDENTIFICATION
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期刊

Academy of Management Annals 封面图
Academy of Management Annals
IF:
16.5
论文数:
345
被引数:
1.0W

机构

N
New York University
学者数:
4.4W
论文数: 3.9W
被引数: 5.8W
U
university of toronto
学者数:
14.8W
论文数: 12.0W
被引数: 165
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