Recommended Readings on PLS-SEM

Ali, F., Rasoolmanesh, S. M., Sarstedt, M., Ringle, C. M., Ryu, K.: An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research. The International Journal of Contemporary Hospitality Management, Volume 30 (2018), Issue 1, pp. 514-538.

https://www.emeraldinsight.com/doi/full/10.1108/IJCHM-10-2016-0568

 

Becker, J.-M., Ringle, C. M., Sarstedt, M.: Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation*Data Treatment. Journal of Applied Structural Equation Modeling, Volume 2 (2018), Issue 2, pp. 1-21.

http://jasemjournal.com/journal-of-applied-structural-equation-modeling-volume-2-issue-2-june-2018/jasem_22_becker-et-al-2018/

 

Hult, G. T. M., Hair, J. F., Proksch, D., Sarstedt, M., Pinkwart, A., Ringle, C. M.: Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling. Journal of International Marketing, Volume 26 (2018), Issue 3, pp. 1-21.

http://journals.ama.org/doi/10.1509/jim.17.0151?code=amma-site

 

Ringle, C. M., Sarstedt, M., Mitchell, R., Gudergan, S. P.: Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, (2018, in press).

https://www.tandfonline.com/doi/full/10.1080/09585192.2017.1416655

 

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Thiele, K. O.: Mirror, Mirror on the Wall: A Comparative Evaluation of Composite-based Structural Equation Modeling Methods. Journal of the Academy of Marketing Science, Volume 45 (2017), Issue 5, pp. 616-632.
https://link.springer.com/article/10.1007/s11747-017-0517-x

 

Rigdon, E. E., Sarstedt, M., Ringle, C. M.: On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations. Marketing ZfP - Journal of Research and Management, Volume 39 (2017), Issue 3, pp. 4-16.

https://elibrary.vahlen.de/10.15358/0344-1369-2017-3-4.pdf

 

Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., Gudergan, S. P.: Estimation Issues with PLS and CBSEM: Where the Bias Lies! Journal fo Business Research, Volume 69 (2016), Issue 10, pp. 3998-4010.

http://www.sciencedirect.com/science/article/pii/S0148296316304404

 

Henseler, J., Ringle, C. M., Sarstedt, M.: A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, Volume 43 (2015), Issue 1, pp. 115-135.
http://link.springer.com/article/10.1007/s11747-014-0403-8

 

Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J. J., Hair, J. F., Hult, G. T. M., and Calantone, R. J.: Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, Volume 17 (2014), Issue 2, pp. 182-209.
http://orm.sagepub.com/content/17/2/182.full.pdf+html

 

Rigdon, E. E., Becker, J.-M., Rai, A., Ringle, C. M., Diamantopoulos, A., Karahanna, E., Straub, D., Dijkstra, T. K.: Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas. Information Systems Research, Volume 25 (2014), Issue 4, pp. 780-784.
http://dx.doi.org/10.1287/isre.2014.0543

 

Sarstedt, M., Ringle, C. M., Hair, J. F.: PLS-SEM: Looking Back and Moving Forward. Long Range Planning, Volume 47 (2014), Issue 3, pp. 132-137.
http://www.sciencedirect.com/science/article/pii/S002463011400020X

 

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage, Thousand Oaks (2014).
http://www.sagepub.com/books/Book237345

 

Hair, J. F., Sarstedt, M., Pieper, T., Ringle, C. M.: The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications. Long Range Planning, Volume 45 (2012), Issue 5-6, pp. 320-340.
http://www.sciencedirect.com/science/article/pii/S0024630112000568

 

Hair, J. F., Ringle, C. M., Sarstedt, M.: PLS-SEM: Indeed a Silver Bullet.Journal of Marketing Theory and Practice, Volume 19 (2011), Issue 2, pp. 139-152.
http://www.metapress.com/content/q435pt848111/?p=443f599e156e4588aa7989a...

 

Hair, J. F., Ringle, C. M., Sarstedt, M.: Partial Least Squares: The Better Approach to Structural Equation Modeling? Long Range Planning, Volume 45 (2012), Issue 5-6, pp. 312-319.
http://www.sciencedirect.com/science/article/pii/S0024630112000593

 

Hair, J. F., Ringle, C. M., Sarstedt, M.: Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, Volume 46 (2013), Issue 1-2, pp. 1-12.
http://www.sciencedirect.com/science/article/pii/S0024630113000022

 

Hair, J. F., Sarstedt, M., Ringle, C. M., Mena, J. A.: An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, Volume 40 (2012), Issue 3, pp. 414-433.
http://www.springerlink.com/content/t502155t60nv8005/

 

Henseler, J., Ringle, C. M., Sarstedt, M.: Using Partial Least Squares Path Modeling in International Advertising Research: Basic Concepts and Recent Issues. Handbook of Research in International Advertising, S. Okazaki (ed.), Edward Elgar Publishing, Cheltenham (2012), pp. 252-276.
http://www.e-elgar.co.uk/bookentry_main.lasso?id=13765

 

Henseler, J., Ringle, C. M., Sinkovics, R. R.: The use of partial least squares path modeling in international marketing. Sinkovics, R. R., Ghauri, P. N. (eds.), Advances in International Marketing, Vol. 20, Bingley (2009), pp. 277-320.
http://php.portals.mbs.ac.uk/Portals/49/docs/rsinkovics/pubs/2009-AIM-He...

 

Ringle, C. M., Sarstedt, M., Straub, D. W.: A critical look at the use of PLS-SEM in MIS Quarterly. MIS Quarterly, Volume 36 (2012), Issue 1, pp. iii-xiv.
http://misq.org/skin/frontend/default/misq/pdf/V36I1/EdCommentsV36N1.pdf