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The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development

The use of partial least squares structural equation modelling (PLS-SEM) in management accounting... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Learning and Teaching in Higher Education Gulf Perspectives Emerald Publishing

The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development

The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development


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.

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References (157)

Publisher
Emerald Publishing
Copyright
Emerald Publishing Limited
eISSN
2077-5504
DOI
10.1016/j.acclit.2016.09.003
Publisher site
See Article on Publisher Site

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.

Journal

Learning and Teaching in Higher Education Gulf PerspectivesEmerald Publishing

Published: Dec 31, 2016

Keywords: Partial least squares; Structural equation modelling; Management accounting; Theory development

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