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Conference Paper: Exploring strategic fit: an empirical test of the miles and snow model

TitleExploring strategic fit: an empirical test of the miles and snow model
Authors
Issue Date2008
PublisherAcademy of Management.
Citation
The 68th Annual National Meeting of the Academy of Management, Anaheim, CA., 8-13 August 2008. How to Cite?
AbstractThe notion that organizations should seek to align their strategy with their structure, process and environment is at the heart of contingency theories. However, to date, few studies have provided a comprehensive examination of the argument that different strategic choices are associated with distinctive combinations of internal and external characteristics. In this paper we explore the issue of strategic fit by applying Miles and Snow's (1978) seminal model of strategic management with an appropriate set of statistical tests to a panel of over seventy organizations during a three-year period. Using seemingly unrelated regressions to control for the possibility that organizations may adopt a mix of strategies we find that: decentralised structures have positive effects on prospecting and a negative effect on reacting; planning processes have a positive impact on low-cost defending, whereas incrementalism has positive effects on prospecting and negative effects on differentiated defending; and environmental uncertainty has an unexpectedly positive impact on both types of defending. Thus internal structures and processes and the external environment are associated with organizational strategies, but in ways that offer only limited support for the Miles and Snow model of strategic fit.
DescriptionSession 513: (BPS) Contingency Theorizing
The Online program's website is located at http://program.aomonline.org/2008/subMenu.asp?mode=setmenu&menuid=14
Persistent Identifierhttp://hdl.handle.net/10722/63653

 

DC FieldValueLanguage
dc.contributor.authorAndrews, Ren_HK
dc.contributor.authorBoyne, GAen_HK
dc.contributor.authorO'Toole Jr, LJen_HK
dc.contributor.authorWalker, RMen_HK
dc.date.accessioned2010-07-13T04:28:49Z-
dc.date.available2010-07-13T04:28:49Z-
dc.date.issued2008en_HK
dc.identifier.citationThe 68th Annual National Meeting of the Academy of Management, Anaheim, CA., 8-13 August 2008.-
dc.identifier.urihttp://hdl.handle.net/10722/63653-
dc.descriptionSession 513: (BPS) Contingency Theorizingen_HK
dc.descriptionThe Online program's website is located at http://program.aomonline.org/2008/subMenu.asp?mode=setmenu&menuid=14-
dc.description.abstractThe notion that organizations should seek to align their strategy with their structure, process and environment is at the heart of contingency theories. However, to date, few studies have provided a comprehensive examination of the argument that different strategic choices are associated with distinctive combinations of internal and external characteristics. In this paper we explore the issue of strategic fit by applying Miles and Snow's (1978) seminal model of strategic management with an appropriate set of statistical tests to a panel of over seventy organizations during a three-year period. Using seemingly unrelated regressions to control for the possibility that organizations may adopt a mix of strategies we find that: decentralised structures have positive effects on prospecting and a negative effect on reacting; planning processes have a positive impact on low-cost defending, whereas incrementalism has positive effects on prospecting and negative effects on differentiated defending; and environmental uncertainty has an unexpectedly positive impact on both types of defending. Thus internal structures and processes and the external environment are associated with organizational strategies, but in ways that offer only limited support for the Miles and Snow model of strategic fit.-
dc.languageengen_HK
dc.publisherAcademy of Management.-
dc.relation.ispartofAcademy of Management Annual Meetings Online Program-
dc.titleExploring strategic fit: an empirical test of the miles and snow modelen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWalker, RM: rwalker@hku.hken_HK
dc.identifier.authorityWalker, RM=rp00876en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.hkuros166205en_HK
dc.publisher.placeUnited States-

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