New Literature 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

 

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, Volume 20 (2018), Issue (5), pp. 83-115. http://doi.org/10.21314/JOR.2018.386

 

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/

 

Chaouali, W., Souiden, N., Ringle, C. M.: Elderly Customers' Reactions to Service Failures: The Role of Future Time Perspctive, Wisdom and Emotional Intelligence. Journal of Services Marketing, forthcoming. https://doi.org/10.1108/JSM-08-2019-0318

 

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

 

Chin, W., Cheah, J.-H., Liu, Y., Ting, H., Lim, X.-J., Cham, T. H.: Demystifying the Role of Causal-Predictive Modeling Using Partial Least Squares Structural Modeling in Information Systems Research. Industrial Managament & Data Systems, forthcoming. https://doi.org/10.1108/IMDS-10-2019-0529

 

Cho, G., Hwang, H., Sarstedt, M., Ringle, C. M.: Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis. Journal of Marketing Analytics, (2020). https://doi.org/10.1057/s41270-020-00089-1

 

Franke, G. R., Sarstedt, M.: Heuristics Versus Statistics in Discriminant Validity Testing: A Comparison of Four Procedures, Internet Research, Volume 29 (2019), Issue 3, pp. 430-447. https://doi.org/10.1108/IntR-12-2017-0515

 

Ghasemy, M., Teeroovengadum, V., Becker, J.-M., & Ringle, C. M.: This Fast Car Can Move Faster: A Review of PLS-SEM Application in Higher Education Research, Higher Education, forthcoming. https://doi.org/10.1007/s10734-020-00534-1

 

Hair, J. F., Howard, M. C., Nitzl, C.: Assessing Measurement Model Quality in PLS-SEM Using Confirmatory Composite Analysis, Journal of Business Research, Volume 109 (2020), pp. 101-110. https://doi.org/10.1016/j.jbusres.2019.11.069

 

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, Volume 12 (2019), pp. 115-140. http://doi.org/10.1007/s40685-018-0072-4

 

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, Volume 31 (2019), Issue 1, pp. 2-24. https://doi.org/10.1108/EBR-11-2018-0203

 

Hair, J. F., Sarstedt, M., Ringle, C. M.: Rethinking Some of the Rethinking of Partial Least Squares, European Journal of Marketing, Volume 53 (2019), Issue 4, pp. 566-584. https://doi.org/10.1108/EJM-10-2018-0665

 

Hair, J. F., Sarstedt, M., Ringle, C. M., Gudergan, S. P.: Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage (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://doi.org/10.1509/jim.17.0151

 

Hwang, H., Sarstedt, M., Cheah, J. H., & Ringle, C. M.: A Concept Analysis of Methodological Research on Composite-Based Structural Equation Modeling: Bridging PLSPM and GSCA, Behaviormetrika, Volume 47 (2020), pp. 219-241. https://doi.org/10.1007/s41237-019-00085-5

 

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, Volume 29 (2019), Issue 3, pp. 407-429. https://doi.org/10.1108/IntR-12-2017-0509

 

Kotilainen, K., Saari, U. A., Mäkinen, S. J., Ringle, C. M.: Exploring the Microfoundations of End-user Interests toward Co-creating Renewable Energy Technology Innovations, Journal of Cleaner Production, Volume 229 (2019), 203-212. https://doi.org/10.1016/j.jclepro.2019.04.296

 

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

 

Liengaard, B. D., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., Ringle, C. M. : Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling, Decision Sciences, forthcoming. https://doi.org/10.1111/deci.12445

 

Nunkoo, R., Teeroovengadum, V., Ringle, C. M., Sunnassee, V.: Service Quality and Customer Satisfaction: The Moderating Effects of Hotel Star Rating, International Journal of Hospitality Management, forthcoming. https://doi.org/10.1016/j.ijhm.2019.102414

 

Richter, N. F., Schubring, S., Hauff, S., Ringle, C. M., Sarstedt, M.: When Predictors of Outcomes Are Necessary: Guidelines for the Combined Use of PLS-SEM and NCA, Industrial Management & Data Systems, forthcoming. https://doi.org/10.1108/IMDS-11-2019-0638

 

Rigdon, E. E., Becker, J.-M., Sarstedt, M.: Factor Indeterminacy as Metrologiacl Uncertainty: Implications for Advancing Psychological Measurement, Multivariate Behavioral Research, Volume 54 (2019), Issue 3, pp. 429-443. https://doi.org/10.1080/00273171.2018.1535420

 

Rigdon, E. E., Becker, J.-M., Sarstedt, M.: Parceling Cannot Reduce Factor Indeterminacy in Factor Analysis: A Research Note, Psychometrika, Volume 84 (2019), Issue (3), pp. 773-780. https://doi.org/10.1007/s11336-019-09677-2

 

Rigdon, E. E., Sarstedt, M., Becker, J.-M.: Quantify Uncertainty in Behavioral Research, Nature Human Behavior, Volume 4 (2020), pp. 329-331. https://doi.org/10.1038/s41562-019-0806-0

 

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, Volume 31 (2020), Issue 12, pp. 1617-1643. http://doi.org/10.1080/09585192.2017.1416655

 

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., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M.: How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM, Australasian Marketing Journal, Volume 27 (2019), Issue 3, pp. 197-211. doi.org/10.1016/j.ausmj.2019.05.003

 

Sarstedt, M., Hair, J. F., Nitzl, C., Ringle, C. M., Howard, M. C.: Beyond a Tandem Analysis of SEM and PROCESS: Use of PLS-SEM for Mediation Analyses!, International Journal of Market Research, Volume 62 (2020), Issue (3), pp. 288-299. https://doi.org/10.1177/1470785320915686

 

Sarstedt, M., Ringle, C.M.,  Cheah, J.H., Ting, H., Moisescu, O.I., Radomir, L.: Structural Model Robustness Checks in PLS-SEM. Tourism Economics, Volume 26 (2020), Issue 4, pp. 531-554. https://doi.org/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

 

Schirmer, N., Ringle, C. M., Gudergan, S. P., Feistel, M. S. G.: The Link between Customer Satisfaction and Loyalty: The Moderating Role of Customer Characteristics. Journal of Strategic Marketing, Volume 26 (2018), Issue 4, pp. 298-317. http://dx.doi.org/10.1080/0965254X.2016.1240214

 

Schlittgen, R., Sarstedt, M., Ringle, C. M.: Data Generation for Composite-Based Structural Equation Modeling Methods, Advances in Data Analysis and Classification, forthcoming. https://doi.org/10.1007/s11634-020-00396-6

 

Sharma, P. N., Sarstedt, M., Shmueli, G., Kim, K. H., Thiele, K. O.: PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research, Journal of the Association for Information Systems, Volume 20 (2019), Issue (4). https://aisel.aisnet.org/jais/vol20/iss4/4

 

Sharma, P. N, Shmueli, G., Sarstedt, M., Danks, N., Ray, S.: Prediction-oriented Model Selection in Partial Least Squares Path Modeling, Decision Science, forthcoming. https://doi.org/10.1111/deci.12329

 

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., Ringle, C. M.: Predictive Model Assessment in PLS-SEM: Guidelines for Using PLSpredict, European Journal of Marketing, Volume 53 (2019), Issue 11, pp. 2322-2347. https://doi.org/10.1108/EJM-02-2019-0189