Using PLS path modeling in new technology research: updated guidelines

Keywords

Structural equation modeling, Partial least squares regression, Confirmatory factor analysis, Path analysis (statistics), Variance (accounting)

References

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• Sample Size Determination and Statistical Power Analysis in PLS Using R: An Annotated TutorialMiguel I. Aguirre‐Urreta, Mikko Rönkkö — 2015
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• On the convergence of the partial least squares path modeling algorithmJörg Henseler — 2010
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• PLS-SEM: Indeed a Silver BulletJoe F. Hair, Christian M. Ringle, Marko Sarstedt — 2011
• Genetic algorithm segmentation in partial least squares structural equation modelingChristian M. Ringle, Marko Sarstedt, Rainer Schlittgen — 2013
• Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecificationLi‐tze Hu, Peter M. Bentler — 1998

Cited by

• Segmentation of PLS path models by iterative reweighted regressionsRainer Schlittgen, Christian M. Ringle, Marko Sarstedt — 2015
• European management research using partial least squares structural equation modeling (PLS-SEM)Nicole Richter, Gabriel Cepeda‐Carrión, José L. Roldán — 2015
• Ground-active arthropod responses to rainfall-induced dune microhabitats in a desertified steppe ecosystem, ChinaRentao Liu, Fan Zhu, Yosef Steinberger — 2016
• Entrepreneurial orientation in hotel industry: Multi-group analysis of quality certificationFelipe Hernández‐Perlines — 2016
• Introducing new products that affect consumer privacy: A mediation modelCaroline Lancelot Miltgen, Jörg Henseler, Carsten Gelhard — 2016
• IT infrastructure and competitive aggressiveness in explaining and predicting performanceAseel Ajamieh, Jose Benitez, Jéssica Braojos — 2016
• Customer equity and CLV in Spanish telecommunication servicesJosé Ramón Segarra-Moliner, Miguel Ángel Moliner Tena — 2016
• The role of organizational capabilities in achieving superior sustainability performanceCarsten Gelhard, Stephan von Delft — 2016
• Testing the predictive power of PLS through cross-validation in bankingNuria Reguera Alvarado, Antonio Blanco‐Oliver, David Martín — 2016
• Prediction-oriented PLS path modeling in microfinance researchAntonio Blanco‐Oliver, Ana Isabel Irimia Diéguez, Nuria Reguera Alvarado — 2016
• Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special sectionGabriel Cepeda‐Carrión, Jörg Henseler, Christian M. Ringle — 2016
• Improving prediction with POS and PLS consistent estimations: An illustration ☆Siham Mourad, Pierre Valette‐Florence — 2016
• Competencies for entrepreneurship as a career option in a challenging employment environmentMaría Carmen Pérez-López, María José González López, Lázaro Rodríguez Ariza — 2016
• Hotel website quality, perceived flow, customer satisfaction and purchase intentionFaizan Ali — 2016
• Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated modelsChristian Nitzl, José L. Roldán, Gabriel Cepeda‐Carrión — 2016
• Estimation issues with PLS and CBSEM: Where the bias lies! ☆Marko Sarstedt, Joseph F. Hair, Christian M. Ringle — 2016
• Análisis cualitativo comparativo de la lealtad en servicios públicos deportivosMario Alguacil, Manuel Alonso Dos Santos, Adrián Pastor Barceló — 2016
• Talent development environment and workplace adaptation: The mediating effects of organisational supportMageswari Kunasegaran, Maimunah Ismail, Roziah Mohd Rasdi — 2016
• Partial least squares path modeling: Time for some serious second thoughtsMikko Rönkkö, Cameron N. McIntosh, John Antonakis — 2016
• Attracting tourists to travel companies’ websites: the structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intentionShahriar Mohseni -, Sreenivasan Jayashree, Sajad Rezaei — 2018

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