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USING CONFIDENCE INTERVALS IN SUPPLY CHAIN AND OPERATIONS RESEARCH *
Author(s) -
BONETT DOUGLAS G.,
WRIGHT THOMAS A.
Publication year - 2009
Publication title -
journal of supply chain management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.75
H-Index - 92
eISSN - 1745-493X
pISSN - 1523-2409
DOI - 10.1111/j.1745-493x.2009.03152.x
Subject(s) - confidence interval , supply chain management , supply chain , statistical hypothesis testing , set (abstract data type) , quality (philosophy) , computer science , business , statistics , marketing , mathematics , philosophy , epistemology , programming language
Like research throughout the entire business discipline, supply chain management research has relied almost exclusively on hypothesis testing methods. This is unfortunate as hypothesis tests are routinely misinterpreted in scientific research. We explain the limitations of hypothesis testing and recommend the use of confidence intervals as the preferred inferential statistical method. In particular, the additional information provided by confidence interval methods is highlighted using several supply chain management examples. We conclude with a set of recommendations designed to enhance the quality of supply chain management research.