Literature


Introduction TO PLS PATH MODELING

In recent years, the literature on PLS has increased tremendously. We strongly recommend the following paper as an introduction to PLS path modeling and variance-based structural equation modeling in general:

Henseler, Jörg; Hubona, Geoffrey; Ray, Pauline Ash (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116 (1), 2-20, doi:10.1108/IMDS-09-2015-0382. [download]

OTHER FREELY AVAILABLE PAPERS ON PLS PATH MODELING

In our seminars, we present and discuss extant literature on PLS. Some of it is freely available:

  • Benitez, Jose; Henseler, Jörg; Castillo, Ana; Schuberth, Florian (2019). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, electronic pre-print available, doi:10.1016/j.im.2019.05.003. [download]
  • Müller, Tobias; Schuberth, Florian; Henseler, Jörg (2018). PLS path modeling: a confirmatory approach to study tourism technology and tourist behavior. Journal of Hospitality and Tourism Technology, 9 (3), 249-266. [download]
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018). Confirmatory Composite Analysis. Frontiers in Psychology, 9 (December), Article 2541. [download]
  • Henseler, Jörg (2017). Bridging design and behavioral research with variance-based structural equation modeling. Journal of Advertising, 46 (1), 178-192. [download]
  • Riel, Allard C. R. van; Henseler, Jörg; Kemény, Ildikó; Sasovova, Zuzana (2017). Estimating hierarchical constructs using consistent partial least squares: The case of second-order composites of common factors. Industrial Management & Data Systems, 117 (3), 459-477. [download]
  • Henseler, Jörg (2016). New developments in PLS path modeling. Industrial Management & Data Systems, 116 (9), 1842-1848. [download]
  • Dijkstra, T.K. and Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly (39:2). [download]

  • Henseler, J., Ringle, C.M., and Sarstedt, M. (forthcoming), "A new criterion for assessing discriminant validity in variance-based structural equation modeling," Journal of the Academy of Marketing Science (43:1), 115-135.  [download]
  • Dijkstra, T.K. and Henseler, J. (2015), "Consistent and asymptotically normal PLS estimators for linear structural equations," Computational Statistics & Data Analysis (81:1), 10-23. [download]
  • Henseler, J., Dijkstra, T.K., Sarstedt, M., Ringle, C.M., Diamantopoulos, A., Straub, D.W., Ketchen, D.J., Jr., Hair, J.F., Hult, G.T.M., and Calantone, R.J. (2014), "Common beliefs and reality about PLS: Comments on Rönkkö & Evermann (2013)," Organizational Research Methods (17:2), 182-209. [download]
  • Henseler, J. and Sarstedt, M. (2013), "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics (28:2), 565-580. [download]
  • Ringle, C.M., Sarstedt, M., and Straub, D.W. (2012), "A critical look at the use of PLS-SEM in MIS Quarterly," MIS Quarterly (36:1), iii-xiv. [download]
  • Sarstedt, M., Becker, J.-M., Ringle, C.M., and Schwaiger, M. (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. [download]
  • Henseler, J. (2010), "On the convergence of the partial least squares path modeling algorithm," Computational Statistics (25:1), 107-120. [download]
  • Henseler, J., Ringle, C.M., and Sinkovics, R.R. (2009), "The use of partial least squares path modeling in international marketing," Advances in International Marketing (20:1), 277-320. [download]

Selected technical PAPERS ON PLS PATH MODELING

We have selected some technical papers that we regard as particularly worth reading:

  • Hair, J.F., Sarstedt, M., Ringle, C.M., and Mena, J.A. (2012), "An assessment of the use of partial least squares structural equation modeling in marketing research," Journal of the Academy of Marketing Science (40:3), 414-433, DOI: 10.1007/s11747-011-0261-6.
  • Henseler, J., Fassott, G., Dijkstra, T.K., and Wilson, B. (2012), "Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling," European Journal of Information Systems (21:1), 99-112, DOI: 10.1057/ejis.2011.36.
  • Hair, J.F., Ringle, C.M., and Sarstedt, M. (2011), "PLS-SEM: Indeed a Silver Bullet," Journal of Marketing Theory and Practice (19:2), 139-151, DOI: 10.2753/MTP1069-6679190202.
  • Henseler, J. and Chin, W.W. (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, DOI: 10.1080/10705510903439003.
  • Reinartz, W.J., Haenlein, M., and Henseler, J. (2009), "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing (26:4), 332-344, DOI: 10.1016/j.ijresmar.2009.08.001.