Run! This road has no ending! A systematic review of PLS-SEM application in strategic management research among developing nations

V. Shela · Thurasamy Ramayah · Kalisri Logeswaran Aravindan · Noor Hazlina Ahmad · Ahmed Ibrahim Alzahrani

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Business Strategies and Management Research Psychometric Methodologies and Testing Business and Management Studies

Abstract

Partial least squares structural equation modelling (PLS-SEM) is emerging as a prominent methodological tool in strategic management research. Although it offers various advancements to stay relevant with growing research needs, the pace of PLS-SEM adoption may differ in different parts of the world. In this paper, we conducted a systematic review using the PRISMA framework and extracted from the top-ranking strategic management journals 120 articles published between 2011 and 2022 that presented a microscopic view on developing nations. Our findings reveal that despite the astounding methodological solutions offered by PLS-SEM, the studies from developing nations are still trailing behind developed nations in terms of fully exploiting the advancements of PLS-SEM to provide substantial insights to strategic management literature. This review identifies discrepancies in the current application of the method, discusses the most recent advancements and provides the best practices, standard guidelines and recommendations for the best use of PLS-SEM in strategic management research.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 2014A new criterion for assessing discriminant validity in variance-based structural equation modeling 2009The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration 2018When to use and how to report the results of PLS-SEM 2011PLS-SEM: Indeed a Silver Bullet 2015A primer on partial least squares structural equation modeling (PLS-SEM)1970Determining Sample Size for Research Activities 1998The partial least squares approach for structural equation modeling.

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