Choice Interactions and Business Strategy
Author(s) -
Pankaj Ghemawat,
Daniel A. Levinthal
Publication year - 2008
Publication title -
management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.954
H-Index - 255
eISSN - 1526-5501
pISSN - 0025-1909
DOI - 10.1287/mnsc.1080.0883
Subject(s) - generalization , computer science , set (abstract data type) , microeconomics , offset (computer science) , strategic management , management science , economics , operations research , industrial organization , management , mathematics , mathematical analysis , programming language
Choice settings are strategic to the extent that they entail cross-sectional or intertemporal linkages. These same factors may impose daunting demands on decision makers. We develop a graph-theoretic generalization of the NK model of fitness landscapes to model the way in which policy choices may be more or less strategic. We use this structure to examine, through simulation, how fully articulated a strategy or set of policy choices must be to achieve a high level of performance and how feasible it is to offset past strategic mistakes through tactical adjustments (instead of alignment). Our analysis highlights the role of asymmetry in the interaction of strategic choices and in particular the degree to which choices vary in terms of being influential, dependent, or autonomous from other choices.strategic choice, activity systems, fitness landscapes, choice interactions, path-dependence
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