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

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  • Cepeda Carrión, Gabriel
  • Henseler, Jörg
  • Ringle, Christian M.
  • Roldán, José Luis

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.

Suggested Citation

  • Cepeda Carrión, Gabriel & Henseler, Jörg & Ringle, Christian M. & Roldán, José Luis, 2016. "Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section," Journal of Business Research, Elsevier, vol. 69(10), pages 4545-4551.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:10:p:4545-4551
    DOI: 10.1016/j.jbusres.2016.03.048
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    References listed on IDEAS

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    1. Lee, Lorraine & Petter, Stacie & Fayard, Dutch & Robinson, Shani, 2011. "On the use of partial least squares path modeling in accounting research," International Journal of Accounting Information Systems, Elsevier, vol. 12(4), pages 305-328.
    2. Joel H. Steckel & Wilfried R. Vanhonacker, 1993. "Cross-Validating Regression Models in Marketing Research," Marketing Science, INFORMS, vol. 12(4), pages 415-427.
    3. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    4. Gudergan, Siegfried P. & Ringle, Christian M. & Wende, Sven & Will, Alexander, 2008. "Confirmatory tetrad analysis in PLS path modeling," Journal of Business Research, Elsevier, vol. 61(12), pages 1238-1249, December.
    5. Frank Schorfheide & Kenneth I. Wolpin, 2012. "On the Use of Holdout Samples for Model Selection," American Economic Review, American Economic Association, vol. 102(3), pages 477-481, May.
    6. Woodside, Arch G. & Hsu, Shih-Yun & Marshall, Roger, 2011. "General theory of cultures' consequences on international tourism behavior," Journal of Business Research, Elsevier, vol. 64(8), pages 785-799, August.
    7. Edward E. Rigdon & Jan-Michael Becker & Arun Rai & Christian M. Ringle & Adamantios Diamantopoulos & Elena Karahanna & Detmar W. Straub & Theo K. Dijkstra, 2014. "Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas," Information Systems Research, INFORMS, vol. 25(4), pages 780-784, December.
    8. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, December.
    9. Peter Ebbes & Dominik Papies & Harald J. van Heerde, 2011. "The Sense and Non-Sense of Holdout Sample Validation in the Presence of Endogeneity," Marketing Science, INFORMS, vol. 30(6), pages 1115-1122, November.
    10. Wagemann, Claudius & Buche, Jonas & Siewert, Markus B., 2016. "QCA and business research: Work in progress or a consolidated agenda?," Journal of Business Research, Elsevier, vol. 69(7), pages 2531-2540.
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