PLS-SEM: Indeed a Silver Bullet

References

• Anderson, James C., and David W. Gerbing (1988), "Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach," Psychological Bulletin, 103 (3), 411-423.
   Google Scholar
• Arbuckle, James L. (2010), Amos 18.0 User's Guide, Mount Pleasant, SC: Amos Development Corporation.
   Google Scholar
• Arteaga, Francisco, Martin G. Gallarza, and Irene Gil (2010), "A New Multiblock PLS Based Method to Estimate Causal Models: Application to the Post-Consumption Behavior in Tourism," in Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Fields, Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, and Huiwen Wang, eds., Berlin: Springer, 141-169.
   Google Scholar
• Babin, Barry J., Joseph F. Hair, and James S. Boles (2008), "Publishing Research in Marketing Journals Using Structural Equations Modeling," Journal of Marketing Theory and Practice, 16 (4), 279-285.
   Google Scholar
• Bagozzi, Richard P. (1994), "Structural Equation Models in Marketing Research: Basic Principles," in Principles of Marketing Research, Richard P. Bagozzi, ed., Oxford: Blackwell, 317-385.
   Google Scholar
• Bagozzi, Richard P., and Youjae Yi (1988), "On the Evaluation of Structural Equation Models," Journal of the Academy of Marketing Science, 16 (1), 74-94.
   Google Scholar
• Bentler, Peter M. (1995), EQS Structural Equations Program Manual, Encino, CA: Multivariate Software.
   Google Scholar
• Bollen, Kenneth A. (1989), Structural Equations with Latent Variables, New York: Wiley.
   Google Scholar
• Cassel, Claes, Peter Hackl, and Anders H. Westlund (1999), "Robustness of Partial Least-Squares Method for Estimating Latent Variable Quality Structures," Journal of Applied Statistics, 26 (4), 435-446.
   Google Scholar
• Cenfetelli, Ronald T., and Geneviève Bassellier (2009), "Interpretation of Formative Measurement in Information Systems Research," MIS Quarterly, 33 (4), 689-708.
   Google Scholar
• Davison, Anthony C., and David V. Hinkley (1997), Bootstrap Methods and Their Application, Cambridge: Cambridge University Press.
   Google Scholar
• Diamantopoulos, Adamantios, and Judy A. Siguaw (2000), Introducing LISREL, Thousand Oaks, CA: Sage.
   Google Scholar
• Diamantopoulos, Adamantios, and Judy A. Siguaw (2006), "Formative vs. Reflective Indicators in Measure Development: Does the Choice of Indicators Matter?" British Journal of Management, 13 (4), 263-282.
   Google Scholar
• Diamantopoulos, Adamantios, and Heidi M. Winklhofer (2001), "Index Construction with Formative Indicators: An Alternative to Scale Development," Journal of Marketing Research, 38 (2), 269-277.
   Google Scholar
• Diamantopoulos, Adamantios, Petra Riefler, and Katharina P. Roth (2008), "Advancing Formative Measurement Models," Journal of Business Research, 61 (12), 1203-1218.
   Google Scholar
• Dijkstra, Theo (2010), "Latent Variables and Indices: Herman Wold's Basic Design and Partial Least Squares," in Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Fields, Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, and Huiwen Wang, eds., Berlin: Springer, 23-46.
   Google Scholar
• Edwards, Jeffrey R., and Richard P. Bagozzi (2000), "On the Nature and Direction of Relationships Between Constructs and Measures," Psychological Methods, 5 (2), 155-174.
   Google Scholar
• Efron, Bradley, and Robert J. Tibshirani (1993), An Introduction to the Bootstrap, New York: Chapman Hall.
   Google Scholar
• Esposito Vinzi, Vincenzo, Christian M. Ringle, Silvia Squillacciotti, and Laura Trinchera (2007), "Capturing and Treating Unobserved Heterogeneity by Response Based Segmentation in PLS Path Modeling: A Comparison of Alternative Methods by Computational Experiments," Working Paper no. 07019, Cergy-Pontoise, France: ESSEC Research Center.
   Google Scholar
• Esposito Vinzi, Vincenzo, Laura Trinchera, Silvia Squillacciotti, and Michel Tenenhaus (2008), "REBUS-PLS: A Response-Based Procedure for Detecting Unit Segments in PLS Path Modelling," Applied Stochastic Models in Business and Industry, 24 (5), 439-458.
   Google Scholar
• Fornell, Claes (1982), "A Second Generation of Multivariate Analysis: An Overview," in A Second Generation of Multivariate Analysis, Claes Fornell, ed., New York: Praeger, 1-21.
   Google Scholar
• Fornell, Claes, and Fred L. Bookstein (1982), "Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory," Journal of Marketing Research, 19 (4), 440-452.
   Google Scholar
• Fornell, Claes, and David F. Larcker (1981a), "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research, 18 (1), 39-50.
   Google Scholar
• Fornell, Claes, and David F. Larcker (1981b), "Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics," Journal of Marketing Research, 18 (3), 328-388.
   Google Scholar
• Geisser, Seymour (1974), "A Predictive Approach to the Random Effects Model," Biometrika, 61 (1), 101-107.
   Google Scholar
• Grewal, Rajdeep, Joseph A. Cote, and Hans Baumgartner (2004), "Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing," Marketing Science, 23 (4), 519-529.
   Google Scholar
• Gudergan, Siegfried P., Christian M. Ringle, Sven Wende, and Alexander Will (2008), "Confirmatory Tetrad Analysis in PLS Path Modeling," Journal of Business Research, 61 (12), 1238-1249.
   Google Scholar
• Hahn, Carsten, Michael D. Johnson, Andreas Herrmann, and Frank Huber (2002), "Capturing Customer Heterogeneity Using a Finite Mixture PLS Approach," Schmalenbach Business Review, 54 (3), 243-269.
   Google Scholar
• Hair, Joseph F., William C. Black, Barry J. Babin, and Rolph E. Anderson (2010), Multivariate Data Analysis, Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Henseler, Jörg, and Wynne W. Chin (2010), "A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling," Structural Equation Modeling, 17 (1), 82-109.
   Google Scholar
• Henseler, Jörg, and Georg Fassott (2010), "Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures," in Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Fields, Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, and Huiwen Wang, eds., Berlin: Springer, 713-735.
   Google Scholar
• Henseler, Jörg, Christian M. Ringle, and Rudolf R. Sinkovics (2009), "The Use of Partial Least Squares Path Modeling in International Marketing," Advances in International Marketing, vol. 20, Rudolf R. Sinkovics and Pervez N. Ghauri, eds., Bingley, UK: Emerald Group, 277-320.
   Google Scholar
• Höck, Claudia, Christian M. Ringle, and Marko Sarstedt (2010), "Management of Multi-Purpose Stadiums: Importance and Performance Measurement of Service Interfaces," International Journal of Services Technology and Management, 14 (2-3), 188-207.
   Google Scholar
• Höck, Michael, and Christian M. Ringle (2010), "Local Strategic Networks in the Software Industry: An Empirical Analysis of the Value Continuum," International Journal of Knowledge Management Studies, 4 (2), 132-151.
   Google Scholar
• Hult, G. Tomas M., Martin Reimann, and Oliver Schilke (2009), "Worldwide Faculty Perceptions of Marketing Journals: Rankings, Trends, Comparisons, and Segmentations," globalEDGE Business Review, 3 (3), 1-10.
   Google Scholar
• Jöreskog, Karl G. (1973), "A General Method for Estimating a Linear Structural Equation System," in Structural Equation Models in the Social Sciences, Arthur S. Goldberger and Otis Dudley Duncan, eds., New York: Seminar Press, 255-284.
   Google Scholar
• Jöreskog, Karl G., and Dag Sörbom (1996), LISREL 8 User's Reference Guide, Chicago: Scientific Software.
   Google Scholar
• Jöreskog, Karl G., and Herman Wold (1982), "The ML and PLS Techniques for Modeling with Latent Variables: Historical and Comparative Aspects," in Systems Under Indirect Observation, Part I, Herman Wold and Karl G. Jöreskog, eds., Amsterdam: North-Holland, 263-270.
   Google Scholar
• Lohmöller, Jan-Bernd (1989), Latent Variable Path Modeling with Partial Least Squares, Heidelberg: Physica.
   Google Scholar
• Marcoulides, George A., and Carol Saunders (2006), "PLS: A Silver Bullet?" MIS Quarterly, 30 (2), iii-ix.
   Google Scholar
• Nunnally, Jum C., and Ira Bernstein (1994), Psychometric Theory, 3d ed., New York: McGraw-Hill.
   Google Scholar
• Reinartz, Werner J., Michael Haenlein, and Jörg Henseler (2009), "An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM," International Journal of Market Research, 26 (4), 332-344.
   Google Scholar
• Rigdon, Edward E. (1998), "Structural Equation Modeling," in Modern Methods for Business Research, G.A. Marcoulides, ed., Mahwah, NJ: Lawrence Erlbaum, 251-294.
   Google Scholar
• Rigdon, Edward E., Christian M. Ringle, and Marko Sarstedt (2010), "Structural Modeling of Heterogeneous Data with Partial Least Squares," in Review of Marketing Research, vol. 7, Naresh K. Malhotra, ed., Armonk, NY: M.E. Sharpe, 255-296.
   Google Scholar
• Rindskopf, David (1984), "Structural Equation Models," Sociological Methods and Research, 13 (1), 109-119.
   Google Scholar
• Ringle, Christian M., and Rainer Schlittgen (2007), "A Genetic Segmentation Approach for Uncovering and Separating Groups of Data in PLS Path Modeling," in Causalities Explored by Indirect Observation: Proceedings of the 5th International Symposium on PLS and Related Methods (PLS'07), Harald Martens, Tormod Næs, and Magni Martens, eds., Åas, Norway: MATFORSK, 75-78.
   Google Scholar
• Ringle, Christian M., Marko Sarstedt, and Erik A. Mooi (2010), "Response-Based Segmentation Using Finite Mixture Partial Least Squares: Theoretical Foundations and an Application to American Customer Satisfaction Index Data," in Data Mining: Annals of Information Systems, vol. 8, Robert Stahlbock, Sven F. Crone, and Stefan Lessmann, eds., New York: Springer, 19-49.
   Google Scholar
• Ringle, Christian M., Marko Sarstedt, and Rainer Schlittgen (2010), "Finite Mixture and Genetic Algorithm Segmentation in Partial Least Squares Path Modeling: Identification of Multiple Segments in a Complex Path Model," in Advances in Data Analysis, Data Handling and Business Intelligence, Andreas Fink, Berthold Lausen, Wilfried Seidel, and Alfred Ultsch, eds., Berlin: Springer, 167-176.
   Google Scholar
• Ringle, Christian M., Sven Wende, and Alexander Will (2005), "SmartPLS 2.0 (Beta)," SmartPLS, Hamburg (available at www.smartpls.de
   Google Scholar
• Ringle, Christian M., Sven Wende, and Alexander Will (2010), "Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples," in Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Fields, Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, and Huiwen Wang, eds., Berlin: Springer, 195-218.
   Google Scholar
• Ringle, Christian M., Oliver Götz, Martin Wetzels, and Bradley Wilson (2009), "On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies," METEOR Research Memoranda RM/09/014, Maastricht University.
   Google Scholar
• Sarstedt, Marko (2008), "A Review of Recent Approaches for Capturing Heterogeneity in Partial Least Squares Path Modelling," Journal of Modelling in Management, 3 (2), 140-161.
   Google Scholar
• Sarstedt, Marko, and Christian M. Ringle (2010), "Treating Unobserved Heterogeneity in PLS Path Modelling: A Comparison of FIMIX-PLS with Different Data Analysis Strategies," Journal of Applied Statistics, 37 (8), 1299-1318.
   Google Scholar
• Sarstedt, Marko, and Matthias Schloderer (2010), "Developing a Measurement Approach for Reputation of Non-Profit Organizations," International Journal of Nonprofit and Voluntary Sector Marketing, 15 (3), 276-299.
   Google Scholar
• Sarstedt, Marko, Jan-Michael Becker, Christian M. Ringle, and Manfred Schwaiger (2011), "Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments?" Schmalenbach Business Review, 63 (1), 34-62.
   Google Scholar
• Sattler, Henrik, Franziska Völckner, Claudia Riediger, and Christian M. Ringle (2010), "The Impact of Brand Extension Success Factors on Brand Extension Price Premium," International Journal of Research in Marketing, 27 (4), 319-328.
   Google Scholar
• Schneeweiß, Hans (1991), "Models with Latent Variables: LISREL Versus PLS," Statistica Neerlandica, 45 (2), 145-157.
   Google Scholar
• Schwaiger, Manfred, Marko Sarstedt, and Charles R. Taylor (2010), "Art for the Sake of the Corporation Audi, BMW Group, DaimlerChrysler, Montblanc, Siemens, and Volkswagen Help Explore the Effect of Sponsorship on Corporate Reputations," Journal of Advertising Research, 50 (1), 77-90.
   Google Scholar
• Sosik, John J., Surinder S. Kahai, and Michael J. Piovoso (2009), "Silver Bullet or Voodoo Statistics? A Primer for Using Partial Least Squares Data Analytic Technique in Group and Organization Research," Group & Organization Management, 34 (1), 5-36.
   Google Scholar
• Steenkamp, Jan-Benedict E.M., and Hans Baumgartner (2000), "On the Use of Structural Equation Models for Marketing Modeling," International Journal of Research in Marketing, 17 (2-3), 195-202.
   Google Scholar
• Stone, Mervyn (1974), "Cross-Validatory Choice and Assessment of Statistical Predictions," Journal of the Royal Statistical Society, 36 (2), 111-147.
   Google Scholar
• Tenenhaus, Michel (2008), "Component-Based Structural Equation Modelling," Total Quality Management & Business Excellence, 19 (7-8), 871-886.
   Google Scholar
• Völckner, Franziska, Henrik Sattler, Thorsten Hennig-Thurau, and Christian M. Ringle (2010), "The Role of Parent Brand Quality for Service Brand Extension Success," Journal of Service Research, 13 (4), 379-396.
   Google Scholar
• Wetzels, Martin, Gaby Odekerken-Schroder, and Claudia van Oppen (2009), "Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration," MIS Quarterly, 33 (1), 177-195.
   Google Scholar
• Wilson, Bradley (2010), "Using PLS to Investigate Interaction Effects Between Higher Order Branding Constructs," in Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Fields, Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, and Huiwen Wang, eds., Berlin: Springer, 621-652.
   Google Scholar
• Wold, Herman (1973), "Nonlinear Iterative Partial Least Squares (NIPALS) Modeling: Some Current Developments," in Multivariate Analysis, vol. 3, Paruchuri R. Krishnaiah, ed., New York: Academic Press, 383-407.
   Google Scholar
• Wold, Herman (1975), "Path Models with Latent Variables: The NIPALS Approach," in Quantitative Sociology: International Perspectives on Mathematical and Statistical Modeling, H.M. Blalock, A. Aganbegian, F.M. Borodkin, R. Boudon, and V. Capecchi, eds., New York: Academic Press, 307-357.
   Google Scholar
• Wold, Herman (1982), "Soft Modeling: The Basic Design and Some Extensions," in Systems Under Indirect Observations: Part I, Karl G. Jöreskog and Herman Wold, eds., Amsterdam: North-Holland, 1-54.
   Google Scholar
• Wold, Svante, Michael Sjöström, and Lennart Eriksson (2001), "PLS-Regression: A Basic Tool of Chemometrics," Chemometrics and Intelligent Laboratory Systems, 58 (2), 109-130.
   Google Scholar
• Wright, Sewall (1921), "Correlation and Causation," Journal of Agricultural Research, 20 (7), 557-585.
   Google Scholar