Selected Journal Articles 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

 

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

 

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/

 

Cheah, J.-H., Sarstedt, M., Ringle, C. M., Ramayah, T., Ting, H:  Convergent Validity Assessment of Formatively Measured Constructs in PLS-SEM: On Using Single-item versus Multi-item Measures in Redundancy Analyses. International Journal of Contemporary Hospitality Management, Volume 30 (2018), Issue 11, pp. 3192-3210. https://www.emeraldinsight.com/doi/abs/10.1108/IJCHM-10-2017-0649

 

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., Ringle, C.M., Gudergan, S.P., Fischer, A., Nitzl, C., Menictas, C.: Partial Least Squares Structural Equation Modeling-based Discrete Choice Modeling: An Illustration in Modeling Retailer Choice, Business Research (2018). http://doi.org/10.1007/s40685-018-0072-4

 

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. https://www.tandfonline.com/doi/abs/10.2753/MTP1069-6679190202

 

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., Risher, J.J., Sarstedt, M., Ringle, C.M.: When to Use and How to Report the Results of PLS-SEM. European Business Review, forthcoming. https://www.emeraldinsight.com/doi/abs/10.1108/EBR-11-2018-0203

 

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., 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/

 

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd ed. Sage, Thousand Oaks (2017). https://uk.sagepub.com/en-gb/eur/a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem/book244583

 

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

 

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., 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

 

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., 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

 

Khan, G.F., Sarstedt, M., Shiau, W.L., Hair, J.F., Ringle, C.M., Fritze, M.P.: Methodological Research on Partial Least Squares Structural Equation Modeling (PLS-SEM): An Analysis Based on Social Network Approaches. Internet Research, forthcoming. https://www.emeraldinsight.com/doi/abs/10.1108/IntR-12-2017-0509

 

Latan, H., Ringle, C.M., Jabbour, C.J.C.: Whistleblowing Intentions Among Public Accountants in Indonesia: Testing for the Moderation Effects. Journal of Business Ethics, Volume 152 (2018), Issue 2, pp. 573-588. https://link.springer.com/article/10.1007/s10551-016-3318-0
 

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., 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

 

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. https://www.emeraldinsight.com/doi/abs/10.1108/S1474-7979%282011%290000022011

 

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

 

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

 

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, forthcoming.
http://www.tandfonline.com/doi/abs/10.1080/09585192.2017.1416655

 

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: Springer, 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 Mode. Journal of Hospitality and Tourism Technology, Volume 9 (2018), Issue 3, pp. 267-279. 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., 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

 

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. https://www.tandfonline.com/doi/abs/10.1080/02664760903030213

 

Sarstedt, M., Ringle, C.M.,  Cheah, J.H., Ting, H., Moisescu, O.I., Radomir, L.: Structural Model Robustness Checks in PLS-SEM. Tourism Economics, forthcoming. https://journals.sagepub.com/doi/abs/10.1177/1354816618823921

 

Sarstedt, M., Ringle, C.M.,  Hair, J.F.: Partial Least Squares Structural Equation Modeling. Homburg, C., Klarmann, M., and Vomberg, A. (eds.), Handbook of Market Research. Heidelberg: Springer, 2018, pp. 1-40. https://link.springer.com/referenceworkentry/10.1007/978-3-319-05542-8_15-1

 

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