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

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  • Adler, Susanne Jana

    (Ludwig-Maximilians-University Munich)

  • Sharma, Pratyush N

    (The University of Alabama)

  • Radomir, Lăcrămioara

    (Faculty of Economics and Business Administration, Babeș-Bolyai University)

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.

Suggested Citation

  • Adler, Susanne Jana & Sharma, Pratyush N & Radomir, Lăcrămioara, 2023. "Toward open science in PLS-SEM: Assessing the state of the art and future perspectives," OSF Preprints sbpe9, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:sbpe9
    DOI: 10.31219/osf.io/sbpe9
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    References listed on IDEAS

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    1. Ryan, James C. & A Tipu, Syed A., 2022. "Business and management research: Low instances of replication studies and a lack of author independence in replications," Research Policy, Elsevier, vol. 51(1).
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