Toward open science in PLS-SEM: Assessing the state of the art and future perspectives

Susanne Jana Adler, Pratyush Nidhi Sharma and Lăcrămioara Radomir

Journal of Business Research, 2023, vol. 169, issue C

Abstract: Driven by the high-profile failures to reproduce and replicate published findings, there have been increasing demands to adopt open science practices across scientific disciplines in order to enhance research transparency. Critics have highlighted the use of underpowered studies and researchers’ analytical degrees of freedom as factors contributing to these issues. Despite methodological advances and updated guidelines, similar concerns persist regarding studies utilizing partial least squares structural equation modeling (PLS-SEM). Open science practices can help alleviate these concerns by facilitating transparency in PLS-SEM-based studies. However, the current level of adherence to these practices remains unknown. In this article, we conduct a comprehensive literature review of leading marketing journals to assess the extent to which open science practices are implemented in PLS-SEM-based studies. Based on the observed lack of adoption, we propose a PLS-SEM-specific preregistration template that researchers can use to foster transparency in their analyses, thereby bolstering confidence in their findings.

Keywords: Partial least squares structural equation modeling; Open Science; Replication; Reproducibility; Preregistration (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:169:y:2023:i:c:s0148296323006501

DOI: 10.1016/j.jbusres.2023.114291

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