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A modified PLS path modeling algorithm handling reflective categorical variables and a new model building strategy

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  • Jakobowicz, Emmanuel
  • Derquenne, Christian

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  • Jakobowicz, Emmanuel & Derquenne, Christian, 2007. "A modified PLS path modeling algorithm handling reflective categorical variables and a new model building strategy," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 3666-3678, May.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:8:p:3666-3678
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    References listed on IDEAS

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    1. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
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    1. Florian Schuberth & Jörg Henseler & Theo K. Dijkstra, 2018. "Partial least squares path modeling using ordinal categorical indicators," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 9-35, January.
    2. Bingsheng Liu & Tengfei Huo & Pinchao Liao & Jie Gong & Bin Xue, 2015. "A Group Decision-Making Aggregation Model for Contractor Selection in Large Scale Construction Projects Based on Two-Stage Partial Least Squares (PLS) Path Modeling," Group Decision and Negotiation, Springer, vol. 24(5), pages 855-883, September.
    3. Wu, Wei-Wen & Lan, Lawrence W. & Lee, Yu-Ting, 2012. "Exploring the critical pillars and causal relations within the NRI: An innovative approach," European Journal of Operational Research, Elsevier, vol. 218(1), pages 230-238.
    4. Kayser, Maike & Gille, Claudia & Suttorp, Katrin & Spiller, Achim, 2012. "Lack of pupils in German riding schools? – A causal-analytical consideration of customer satisfaction in children and adolescents," Department of Agricultural and Rural Development (DARE) Discussion Papers 187447, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    5. Nitzl, Christian, 2016. "The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development," Journal of Accounting Literature, Elsevier, vol. 37(C), pages 19-35.
    6. Joseph F. Hair & Christian M. Ringle & Siegfried P. Gudergan & Andreas Fischer & Christian Nitzl & Con Menictas, 2019. "Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 115-142, April.
    7. Kayser, Maike & Gille, Claudia & Suttorp, Katrin & Spiller, Achim, 2012. "Lack of pupils in German riding schools? – A causal-analytical consideration of customer satisfaction in children and adolescents," 54th Annual Conference, Goettingen, Germany, September 17-19, 2014 187447, German Association of Agricultural Economists (GEWISOLA).
    8. Marko Sarstedt & Jun-Hwa Cheah, 2019. "Partial least squares structural equation modeling using SmartPLS: a software review," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 196-202, September.
    9. Cacciolatti, Luca & Lee, Soo Hee, 2016. "Revisiting the relationship between marketing capabilities and firm performance: The moderating role of market orientation, marketing strategy and organisational power," Journal of Business Research, Elsevier, vol. 69(12), pages 5597-5610.

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