Selected Journal Articles on PLS-SEM

Ahrholdt, D. C., Gudergan, S. P., Ringle, C. M.: Enhancing Service Loyalty: The Roles of Delight, Satisfaction, and Service Quality. Journal of Travel Research, Volume 56 (2017), Issue 4, pp. 436-450.

http://journals.sagepub.com/doi/10.1177/0047287516649058

 

Avkiran, N. K., Ringle, C. M., Low, R. K. Y.: Monitoring Transmission of Systemic Risk: Application of Partial Least Squares Structural Equation Modeling in Financial Stress Testing. Journal of Risk (2018, forthcoming).

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3164861

 

Gudergan, S., Ringle, C. M., Wende, S., Will, A.: Confirmatory tetrad analysis in PLS path modeling. Journal of Business Research (JBR), Volume 61 (2008), Issue 12, pp. 1238-1249.
http://linkinghub.elsevier.com/retrieve/pii/S0148296308000143

 

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 (LRP), 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 (JMTP), 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 (JAMS), Volume 40 (2012), Issue 3, pp. 414-433.
http://www.springerlink.com/content/t502155t60nv8005/

 

Henseler, J.: Why Generalized Structured Component Analysis Is Not Universally Preferable to Structural Equation Modeling. Journal of the Academy of Marketing Science, Volume 40 (2012), Issue 3, pp. 402-413.
http://www.springerlink.com/content/m538w5208r940658/

 

Henseler, J., Ringle, C. M., Sarstedt, M.: Using partial least squares path modeling in international advertising research: Basic concepts and recent issues. Okazaki (Ed.), Handbook of Research in International Advertising, Cheltenham: Edward Elgar Publishing, pp. 252-276.
http://www.elgaronline.com/abstract/9781848448582.00023.xml

 

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 (AIM), Vol. 20, Bingley 2009, pp. 277-320.
http://www.emeraldinsight.com/books.htm?chapterid=1775963&show=abstract

 

Henseler, J., Sarstedt, M.: Goodness-of-fit indices for partial least squares path modeling. Computational Statistics, Volume 28 (2013), Issue 2, pp. 565-580.
http://link.springer.com/article/10.1007/s00180-012-0317-1

 

Kawalla, C., Höck, M., Ullmann, M., Ringle, C. M.: An Empirical Examination of the Thickness Profile Formation of Twin-Roll-Cast Magnesium Strips. Archives of Civil and Mechanical Engineering, Volume 18 (2018), Issue 1, pp. 227-234.

https://www.sciencedirect.com/science/article/pii/S1644966517300791?via%3Dihub

 

Rasoolimanesh, S. M., Ringle, C. M., Jaafar, M., Ramayah, T.: Urban vs. rural destinations: Residents’ perceptions, community participation and support for tourism development. Tourism Management, Volume 60 (2017), pp. 147-158.

https://www.sciencedirect.com/science/article/pii/S0261517716302357?via%3Dihub

 

Rigdon, E. E., Ringle, C. M., Sarstedt, M., Gudergan, S.P.: Assessing heterogeneity in customer satisfaction studies: Across industry similarities and within industry differences. Advances in International Marketing (AIM), Vol. 22, Bingley 2011, pp. 169-194.
http://www.emeraldinsight.com/books.htm?issn=1474-7979&volume=22&chapter...

 

Rigdon, E. E., Ringle, C. M., Sarstedt, M.: Structural modeling of heterogeneous data with partial least squares. Malhotra, N.K. (ed.), Review of Marketing Research, Volume 7 (2010), Armonk, pp. 255-296.
http://www.emeraldinsight.com/books.htm?chapterid=1896306&show=abstract

 

Ringle, C. M., Sarstedt, M., Mooi, E. A.: Response-based segmentation using FIMIX-PLS: Theoretical foundations and an application to American customer satisfaction index data. Stahlbock, R., Crone, S. F., Lessmann, S. (eds.): Annals of Information Systems (AoIS), Volume 8, Berlin-Heidelberg 2010, pp. 19-49.
http://www.springerlink.com/content/j4543621w61w375m/

 

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

 

Rosenbusch, J., Ismail, I. R., Ringle, C. M.: The agony of choice for medical tourists: a patient satisfaction index model. Journal of Hospitality and Tourism Technology (2018, forthcoming).

https://www.emeraldinsight.com/doi/full/10.1108/JHTT-10-2017-0107

 

Sarstedt, M., Becker, J.-M., Ringle, C. M., Schwaiger, M.: Uncovering and treating unobserved heterogeneity with FIMIX-PLS: Which model selection criterion provides an appropriate number of segments? Schmalenbach Business Review (sbr), Volume 63 (2011), Issue 1, pp. 34-62.
http://www.fachverlag.de/sbr/pdfarchive/einzelne_pdf/sbr_2011_jan_034-06...

 

Sarstedt, M., Henseler, J., Ringle, C. M.: Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Advances in International Marketing (AIM), Vol. 22, Bingley 2011, pp. 195-218.
http://www.emeraldinsight.com/books.htm?chapterid=1947659

 

Sarstedt, M., Ringle, C. M.: Treating unobserved heterogeneity in PLS path modelling: A comparison of FIMIX-PLS with different data analysis strategies. Journal of Applied Statistics (JAS), Volume 37 (2010), Issue 8, pp. 1299-1318.
http://www.informaworld.com/smpp/content~content=a925629316~db=all~jumpt...