Use of Partial Least Squares Path Modeling Within and Across Business Disciplines

Stacie Petter () and Yasamin Hadavi ()
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Stacie Petter: Wake Forest University, School of Business
Yasamin Hadavi: Baylor University, Department of Information Systems and Business Analytics

Chapter Chapter 3 in Partial Least Squares Path Modeling, 2023, pp 55-79 from Springer

Abstract: Abstract The acceptance and application of PLS-PM vary dramatically across business disciplines. Some business disciplines, such as marketing and information systems, have used PLS-PM for decades. Other disciplines, such as accounting, have been slower at incorporating path models and PLS-PM in their research studies. The differences in adoption of PLS-PM across business disciplines can be confusing for authors interested in applying, using, and reporting the PLS-PM results in published research within their own discipline or across business disciplines. To address this concern, this chapter reviews the use and application of PLS-PM in Financial TimesFinancial times (FT50) journals. Our results identify the prevalence of PLS-PM use within and across business disciplines. This chapter reviews the rationales provided by authors for their use of PLS-PM within and across business disciplines, discusses questionable and appropriate rationales for PLS-PM, and offers guidance for authors intending to publish articles using PLS-PM.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-37772-3_3

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DOI: 10.1007/978-3-031-37772-3_3

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