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