Suggested reporting guidelines for structural equation modeling in supply chain management research

Pages627-641
DOIhttps://doi.org/10.1108/IJLM-08-2014-0133
Date09 November 2015
Published date09 November 2015
AuthorBenjamin T. Hazen,Robert E. Overstreet,Christopher A Boone
Subject MatterManagement science & operations,Logistics
Suggested reporting guidelines
for structural equation
modeling in supply chain
management research
Benjamin T. Hazen
Department of Marketing and Supply Chain Management,
University of Tennessee, Knoxville, Tennessee, USA
Robert E. Overstreet
Department of Operational Sciences, Air Force Institute of Technology,
Wright-Patterson Air Force Base, Ohio, USA, and
Christopher A. Boone
Department of Marketing and Logistics, Georgia Southern University,
Statesboro, Georgia, USA
Abstract
Purpose Structural equation modeling (SEM) is a data analysis method of choice for many empirical
supply chain management (SCM) researchers. As the statistical technique has evolved, so have its
applications and reporting guidelines. Consequently, there has been a lack of standardized reporting across
the SCM literature. The purpose of this paper is to provide a basis for standardizing reporting conventions.
Design/methodology/approach This paper presents a review of recent SEM methods literature.
In addition, the authors content analyze articles from International Journal of Logistics Management,
International Journal of Physical Distribution and Logistics Management,andJournal of Business Logistics
that contained either covariance-based or partial least square structural equation models. Using the
aforementioned literature review and content analysis, the authors compare and contrast what is currently
reported in extant supply chain literature with suggested reporting protocols in the methods literature.
Findings Based on the review and analysis, the authors suggest standardized reporting conventions
for the use of SEM in SCM research. In addition, the findings suggest that much more could and should
be reported with respect to the decision as to which SEM technique to employ.
Originality/value This paper can serve as a useful checklist and set of references for scholars
publishing SEM research in supply chain journals.
Keywords Partial least squares, Structural equation modelling
Paper type Research paper
Introduction
Structural equation modeling (SEM) has become a popular data analysis approach in
empirical research and, over time, applications of SEM methods have steadily
increased in the academic literature (Hair et al., 2012a). The supply chain management
(SCM) literature is no exception. For instance, 41 percent of all articles published in the
International Journal of Logistics Management (IJLM) in 2009 employed some sort of
SCM technique, and similar ratios can be found in other top supply chain journals.
Research methods literature reveals there have been several significant changes in The International Journal of
Logistics Management
Vol. 26 No. 3, 2015
pp. 627-641
©Emerald Group Publis hing Limited
0957-4093
DOI 10.1108/IJLM-08-2014-0133
Received 18 November 2013
Revised 26 August 2014
8 October 2014
Accepted 28 October 2014
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0957-4093.htm
The views expressed in this paper are those of the authors and do not reflect the official policy or
position of the United States Air Force, Department of Defense, or the US Government.
627
Guidelines
for SEM in
SCM research

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