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Contingency research in operations management practices
Author(s) -
Sousa Rui,
Voss Christopher A.
Publication year - 2008
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/j.jom.2008.06.001
Subject(s) - contingency , contingency theory , process (computing) , contingency management , value (mathematics) , process management , order (exchange) , computer science , best practice , knowledge management , management science , operations research , business , psychology , management , epistemology , economics , mathematics , philosophy , finance , machine learning , psychiatry , intervention (counseling) , operating system
Abstract As operations management (OM) best practices have become mature, research on practices has begun to shift its interest from the justification of the value of those practices to the understanding of the contextual conditions under which they are effective—OM practice contingency research (OM PCR). This article sets out to examine and critique the current state of OM PCR. We review OM PCR studies through the lens of the major theoretical view on contingencies, contingency theory, along a number of relevant dimensions: contingency variables, performance variables, measurement, research design and employed form of fit. In this process, we put forward a number of tasks that need to be accomplished in order to move OM PCR forward and develop more solid conceptual foundations in which to anchor rigorous research in this area. Finally, we reflect on the theoretical arguments that underlie OM PCR (which are based on the contingency approach) and identify its limitations in fully explaining the currently observed patterns of use of OM practices and associated performance outcomes. As a result, we propose that in order to increase our understanding of these patterns, OM scholars need to study in more depth the process of selection of OM best practices by organizations. Accordingly, we put forward a framework to underpin such research integrating contingency theory and other theoretical perspectives.