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Strategic Moves and Organizational Survival in Turbulent Environments: The Case of Spanish Banks (1983–97)*
Author(s) -
ZúñigaVicente José Á.,
VicenteLorente José D.
Publication year - 2006
Publication title -
journal of management studies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.398
H-Index - 184
eISSN - 1467-6486
pISSN - 0022-2380
DOI - 10.1111/j.1467-6486.2006.00599.x
Subject(s) - population , strategic planning , sample (material) , probit model , profit impact of marketing strategy , economics , dynamic capabilities , industrial organization , strategic control , strategic management , econometrics , business , marketing , strategic financial management , sociology , chemistry , demography , chromatography
The main purpose of this paper is to examine the effect of ‘strategic moves’ (or strategic change) on the likelihood of organizational survival in a population of firms which has undergone radical transformations in its environment. To this end, we propose and test two competitive hypotheses which are the result of two other theoretical perspectives about the consequences of strategic change: the adaptation view (classic strategic management and dynamic capabilities) and the ecological approach. While from the former, in general, it is assumed that strategic change has a positive effect on the likelihood of organizational survival, from the ecological approach, it is frequently argued that attempts at reorganization in general and strategic change in particular tend to be associated with an increase in the likelihood of organizational extinction. The sample used to test the two proposed hypotheses is the Spanish bank population over the period 1983–97. The results confirm the positive and significant effect of strategic moves (or strategic change) on the likelihood of organizational survival, in line with the conclusions of the adaptive perspective and other empirical research carried out in different settings. This paper introduces two important methodological innovations: (a) the definition and measurement of ‘strategic moves’ (or strategic change) by using a new cluster algorithm, the MCLUST; and (b) the control of the non‐observable heterogeneity using panel data models for ‘probit’ regression.