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Customizing Quality Management Practices: A Conceptual and Measurement Framework
Author(s) -
Zhang Dongli,
Linderman Kevin,
Schroeder Roger G.
Publication year - 2014
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/deci.12059
Subject(s) - quality (philosophy) , situational ethics , computer science , context (archaeology) , set (abstract data type) , quality management , knowledge management , empirical research , process management , competition (biology) , best practice , conceptual framework , management science , risk analysis (engineering) , business , marketing , psychology , engineering , management , social psychology , paleontology , philosophy , ecology , epistemology , economics , biology , programming language , service (business)
Quality management (QM) has often been promoted as a universal remedy, where organizations adopt these practices to enhance performance. However, implementation of QM has led to mixed results with some high‐profile failures. Some suggest that customizing QM practices to fit the organization's situational context can help avoid implementation failure and improve performance. However, research has not fully investigated how organizations should go about customizing quality practices. This article addresses this question by conceptualizing two fundamental yet different aspects of QM practices that have different learning objectives: quality exploitation (QEI) and quality exploration (QER). Drawing on experts and empirical data, we develop a reliable and valid set of measures for QEI and QER. Furthermore, the analysis shows the performance differences in the two sets of QM practices across different contextual settings. Specifically, the empirical results show that the benefits of different QM orientations depend on the level of competition and rate of product change. This research challenges prior conceptualizations of QM, and suggests a practical framework to guide decision makers in customizing QM practices.