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State-of-art on PLS Path Modeling through the available software

Author

Listed:
  • TENENHAUS, Michel
  • CHATELIN, Yves-Marie

    (IdE France)

  • ESPOSITO VINZI, Vincenzo

    (DMS Italy)

Abstract

The purpose of this paper is to present PLS Path Modeling, to describe the various options of LVPLS 1.8 and PLS-Graph 3.0 for carrying out a path model, and to comment the output of both software. PLS-Graph 3.0 is actually based on LVPLS 1.8. As an added value, PLS-Graph has a very friendly graphical interface for drawing the model and a resampling module (jackknife and bootstrap). The presentation is illustrated by data which have been used to construct the European Consumer Satisfaction Index (ECSI) for a mobile phone provider.

Suggested Citation

  • TENENHAUS, Michel & CHATELIN, Yves-Marie & ESPOSITO VINZI, Vincenzo, 2002. "State-of-art on PLS Path Modeling through the available software," HEC Research Papers Series 764, HEC Paris.
    • Handle: RePEc:ebg:heccah:0764
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    Citations

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    Cited by:

    1. Arumugam Seetharaman & Saurabh Singhal & Pankaj Galdhar & John Rudolph Raj & A. S. Saravanan, 2016. "Customers’ Expectations for Next Generation Internet Banking," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1-28, March.
    2. Garbade, Philipp J.P. & Omta, S.W.F. (Onno) & Fortuin, Frances T.J.M., 2013. "Exploring the characteristics of innovation alliances of Dutch Biotechnology SMEs and their policy implications," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 2(1), pages 1-21, April.
    3. Hao Cheng, 2023. "Composite quantile estimation in PLS-SEM for environment sustainable development evaluation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6249-6268, July.
    4. Hao Cheng, 2023. "Environmental Effect Evaluation: A Quantile-Type Path-Modeling Approach," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    5. Ned Kock, 2015. "PLS-based SEM Algorithms: The Good Neighbor Assumption, Collinearity, and Nonlinearity," Information Management and Business Review, AMH International, vol. 7(2), pages 113-130.
    6. Monika Oleksiak, 2009. "Satisfaction Drivers in Retail Banking: Comparison of Partial Least Squares and Covariance Based Methods," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(1), pages 83-102, March.
    7. A. Seetharaman & Vikas Kumar Sahu & A. S. Saravanan & John Rudolph Raj & Indu Niranjan, 2017. "The Impact of Risk Management in Credit Rating Agencies," Risks, MDPI, vol. 5(4), pages 1-16, September.
    8. Jean-Marie Nkongolo-Bakenda & Robert Anderson & Jack Ito & Garnet Garven, 2010. "Structural and competitive determinants of globally oriented small- and medium-sized enterprises: An empirical analysis," Journal of International Entrepreneurship, Springer, vol. 8(1), pages 55-86, March.
    9. Vincenzo Vinzi & Christiane Guinot & Silvia Squillacciotti, 2007. "Two-step PLS regression for L-structured data: an application in the cosmetic industry," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(2), pages 263-278, August.
    10. A. Seetharaman & A.S. Saravanan & Nitin Patwa & Jigar Mehta, 2017. "Impact of Bitcoin as a World Currency," Accounting and Finance Research, Sciedu Press, vol. 6(2), pages 230-230, May.
    11. Erno T. Tornikoski, 2008. "Legitimating Characteristics And Firm Emergence," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 233-256.

    More about this item

    Keywords

    PLS Path Modeling; PLS Approach; Structural Equation Modeling; LVPLS 1.8; PLS-Graph;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory

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