Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section

Gabriel Cepeda Carrión, Jörg Henseler, Christian Ringle and José Luis Roldán

Journal of Business Research, 2016, vol. 69, issue 10, 4545-4551

Abstract: Under the main theme “prediction-oriented modeling in business research by means of partial least squares path modeling” (PLS), the special issue presents 17 papers. Most contributions include content from presentations at the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users, which took place at the Universidad de Sevilla (Spain) from June 16 to 19, 2015. This conference provided PLS users with a platform for the fruitful exchange of ideas on variance-based structural equation modeling. At the same time, the conference addressed the latest methodological advances and their use in research practice. Finally, the conference resumed and enriched the ongoing discussion on the strengths and weaknesses of PLS.

Keywords: Partial least squares; Prediction-oriented modeling; Business research; Quantitative methods (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (61)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:69:y:2016:i:10:p:4545-4551

DOI: 10.1016/j.jbusres.2016.03.048

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