Partial Least Squares Structural Equation Modelling (PLS-SEM) in Management Accounting Research: Directions for Future Theory Development

Journal of Accounting Literature, Forthcoming

46 Pages Posted: 22 Jul 2014 Last revised: 27 May 2016

See all articles by Christian Nitzl

Christian Nitzl

University of the German Federal Armed Forces - Universität der Bundeswehr München

Date Written: 2016

Abstract

In management accounting research, the capabilities of Partial Least Squares Structural Equation Modelling (PLS-SEM) have only partially been utilized. These yet unexploited capabilities of PLS-SEM are a useful tool in the often explorative state of research in management accounting. After reviewing eleven top-ranked management accounting journals through the end of 2013, 37 articles in which PLS-SEM is used are identified. These articles are analysed based on multiple relevant criteria to determine the progress in this research area, including the reasons for using PLS-SEM, the characteristics of the data and the models, and model evaluation and reporting. A special focus is placed on the degree of importance of these analysed criteria for the future development of management accounting research. To ensure continued theoretical development in management accounting, this article also offers recommendations to avoid common pitfalls and provides guidance for the advanced use of PLS-SEM in management accounting research.

Keywords: Management Accounting, Partial Least Squares Structural Equation Modelling, PLS

Suggested Citation

Nitzl, Christian, Partial Least Squares Structural Equation Modelling (PLS-SEM) in Management Accounting Research: Directions for Future Theory Development (2016). Journal of Accounting Literature, Forthcoming , Available at SSRN: https://ssrn.com/abstract=2469802 or http://dx.doi.org/10.2139/ssrn.2469802

Christian Nitzl (Contact Author)

University of the German Federal Armed Forces - Universität der Bundeswehr München ( email )

Werner-Heisenberg-Weg 39
Neubiberg
Munich, 85579
Germany

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