Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT
暂无分享,去创建一个
[1] Mikko Rönkkö,et al. Marketing or methodology? Exposing the fallacies of PLS with simple demonstrations , 2023, European Journal of Marketing.
[2] Joseph F. Hair,et al. Progress in partial least squares structural equation modeling use in marketing research in the last decade , 2022, Psychology & Marketing.
[3] N. Danks. The Piggy in the Middle , 2021, Data Base.
[4] Joseph F. Hair,et al. Partial Least Squares Structural Equation Modeling , 2021, Handbook of Market Research.
[5] Wynne W. Chin,et al. Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research , 2020, Ind. Manag. Data Syst..
[6] Pratyush Nidhi Sharma,et al. Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling , 2020, Decis. Sci..
[7] Pratyush Nidhi Sharma,et al. Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM) , 2020 .
[8] H. Ting,et al. Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations , 2020, Total Quality Management & Business Excellence.
[9] Christian Nitzl,et al. Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses! , 2020 .
[10] Galit Shmueli,et al. Predictive model assessment in PLS-SEM: guidelines for using PLSpredict , 2019, European Journal of Marketing.
[11] Marko Sarstedt,et al. Rethinking some of the rethinking of partial least squares , 2019, European Journal of Marketing.
[12] Joseph F. Hair,et al. When to use and how to report the results of PLS-SEM , 2019, European Business Review.
[13] Marko Sarstedt,et al. Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling , 2018, Journal of International Marketing.
[14] Pratyush Nidhi Sharma,et al. Prediction-Oriented Model Selection in Partial Least Squares Path Modeling , 2018, Decis. Sci..
[15] T. Yarkoni,et al. Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning , 2017, Perspectives on psychological science : a journal of the Association for Psychological Science.
[16] Marko Sarstedt,et al. Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods , 2017, Journal of the Academy of Marketing Science.
[17] Jake M. Hofman,et al. Prediction and explanation in social systems , 2017, Science.
[18] Joseph F. Hair,et al. Estimation issues with PLS and CBSEM: Where the bias lies! ☆ , 2016 .
[19] Galit Shmueli,et al. The elephant in the room: Predictive performance of PLS models , 2016 .
[20] Christian Nitzl,et al. Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated Models , 2016, Ind. Manag. Data Syst..
[21] Marko Sarstedt,et al. Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part II – A case study , 2016 .
[22] T. C. Melewar,et al. Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities , 2013 .
[23] Manfred Schwaiger,et al. A comparative study of corporate reputation between China and developed Western countries , 2012 .
[24] Viswanath Venkatesh,et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..
[25] Peter H. Gray,et al. Pursuing Failure , 2010 .
[26] Galit Shmueli,et al. Predictive Analytics in Information Systems Research , 2010, MIS Q..
[27] Kristin M. Bakke,et al. The perils of policy by p-value: Predicting civil conflicts , 2010 .
[28] Shirley Gregor,et al. The Nature of Theory in Information Systems , 2006, MIS Q..
[29] Dwayne A. Ball,et al. The role of communication and trust in explaining customer loyalty: An extension to the ECSI model , 2004 .
[30] Manfred Schwaiger. Components and Parameters of Corporate Reputation — An Empirical Study , 2004 .
[31] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[32] A. Westlund,et al. The pan-European customer satisfaction index programme—current work and the way ahead , 2002 .
[33] C. Fornell,et al. Foundations of the American Customer Satisfaction Index , 2000 .
[34] C. Fornell,et al. The American Customer Satisfaction Index: Nature, Purpose, and Findings , 1996 .
[35] Joseph F. Hair,et al. Extraordinary Claims Require Extraordinary Evidence: A Comment on “Recent Developments in PLS” , 2023, Communications of the Association for Information Systems.
[36] Pratyush Nidhi Sharma,et al. PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research , 2019, J. Assoc. Inf. Syst..
[37] Markus Eberl,et al. An Application of PLS in Multi-Group Analysis: The Need for Differentiated Corporate-Level Marketing in the Mobile Communications Industry , 2010 .
[38] G. Shmueli. To Explain or To Predict? , 2010, 1101.0891.