Workshops & Panels

Hosted by Mac Shiau (Wen-Lung Shiau), Chang Gung University

Location: Zhuhai, China (BNU-HKBU UIC)

Date: 26 October 2024

Structural equation modeling (SEM) has received considerable attention (Gefen et al. 2000 & 2011; Shiau and Chau 2016; Hayes et al. 2017; Mertens and Recker 2020; Hair et al. 2022;Shiau 2023), for example, the management information systems (Ringle et al. 2012 & 2022), marketing (Hair et al. 2012b) and strategic management (Hair et al. 2012a), operations management (Peng and Lai 2012), and organizational research (Sosik et al. 2009). However, despite the increasing use of SEM, the methodology is often poorly executed because researchers ignore the evolution of SEM and key issues in mediation(eg. Shiau et al. 2021), moderation(eg. Liang and Shiau 2018; Shiau et al. 2021), and control variables (Shiau et al. 2024). This implies that there is a necessity to educate PhD students and junior researchers when and how to use SEM correctly for research and journal publications (eg. Shiau and Chau 2016; Liang and Shiau 2018; Shiau et al. 2021 & 24; Shiau 2023).

In this workshop, we discuss the past, current, and future of SEM as follows:

Past: the key issues in the evolution of SEM.

Current: Common errors in mediation, moderation, and control variables.

General guidelines for mediation, moderation, and control variables.

New guidelines for SEM.

Future: Mixed, multiple methods, and AI with SEM.

More advanced topics will not be covered in depth but will be suggested with suitable literature. At the end of the workshop, it is expected that participants will be able to accurately use SEM (CB-SEM and PLS-SEM) applications, and some extensions as required for research and journal publications.

Potential audiences of the workshop Individuals wish to learn when and how to use SEM (CB-SEM and PLS-SEM) for their PhD research and/or high quality journal publications.  

Instructor Wen-Lung Shiau received his MS in Computer Science from Polytechnic University, New York, US, in 1995 and the PhD degree from the National Central University, Chung-Li, Taiwan, in 2006. He is a professor in the Department of Information Management, Chang Gung University. He has published 86 journal papers and many highly cited articles in the Web of Science and Top 1% by citations/field in Clarivate Analytics (ESI). His current research interests include data analysis, marketing, and E-business. His papers have been published or accepted in Internet Research, IM&DS, Scientometrics, IT&P, IJIM, DSS, I&M, EJIS, among others. He is also on the 2019-2022 Stanford University’s list of the top 2% most-cited scientists in the world.

Important notices

• Prof. Ringle  will support 100 participants with a 2-month free license of SmartPLS 4.X (Ringle et al. 2022). Thanks for the support from Prof. Ringle, C.M.

References

Gefen, D., Rigdon, E. E., & Straub, D. (2011). An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly, 35(2), iii-xiv.

Gefen, D., Straub, D. W., & Boudreau, M. (2000). Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems, 4.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 3rd ed. Thousand Oaks, CA: Sage.

Hair, J. F., Sarstedt, M., Pieper, T.M., & Ringle, C. M. (2012a). 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, 45, 320-340.

Hair, J. F., Sarstedt, M., Ringle, C.M., & Mena, J. A. (2012b). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science, 40, 414-433.

Hayes, A. F., Montoya, A. K., & Rockwood, N. J. (2017). The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling. Australasian Marketing Journal, 25, 76-81.

Liang, C. C., and Shiau W. L., 2018. “Moderating effect of privacy concerns and subjective norms between satisfaction and repurchase of airline e-ticket through airline-ticket vendors,” Asia Pacific Journal of Tourism Research (23:12), pp. 1142-1159.

Mertens, W., & Recker, J. (2020). New Guidelines for Null Hypothesis Significance Testing in Hypothetico-Deductive IS Research. Journal of the Association for Information Systems, 21(4), Article 1.

Peng, D. X., & Lai, F. (2012). Using Partial Least Squares in Operations Management Research: A Practical Guideline and Summary of Past Research. Journal of Operations Management, 30, 467-480.

Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). A Critical Look at the Use of PLS-SEM in MIS Quarterly. MIS Quarterly 36(1), iii-xiv.

Ringle, C. M., Wende, S., & Becker, J.-M. (2022). SmartPLS 4. Oststeinbek: SmartPLS. Retrieved from https://www.smartpls.com

Shiau, W. L. (2023). Introduction and Application of Statistical Analysis: SPSS+ SmartPLS 4(PLS-SEM)(4th ed.), Gotop, Taipei, Taiwan. (in Chinese)

Shiau, W. L., Chen, H., Chen, K., Liu, Y.-H., and Tan, F. T. C.(2021). A Cross-Cultural Perspective on the Blended Service Quality for Ride-Sharing Continuance. Journal of Global Information Management(JGIM, SSCI), Vol. 29 No. 6, Article 2, pp. 1-25.

Shiau, W. L., & Chau, Y. K. (2016). Understanding behavioral intention to use a cloud computing classroom: A multiple model-comparison approach. Information & Management, 53(3), 355-365. ESI 1% high cited article

Shiau, W. L., Chau, Y. K., Thatcher, J. B., Teng, C.-I., and Dwivedi, Y. K. (2024). Have we controlled properly? Problems with and recommendations for the use of control variables in information systems research. International Journal of Information Management, 74(February), 102702. (SSCI, 2022 IF= 21, Information Science & Library Science Q1, 1/161.) https://doi.org/10.1016/j.ijinfomgt.2023.102702

Shiau, W. L., Yuan, Y., Pu, X., Ray, S. and Chen, C.C. (2020), "Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories", Industrial Management & Data Systems, Vol. 120 No. 9, pp. 1659-1689 ESI 1% high cited article

Sosik, J. J., Kahai, S. S., & Piovoso, M. J. (2009). Silver Bullet or Voodoo Statistics? A Primer for Using the Partial Least Squares Data Analytic Technique in Group and Organization Research. Group Organization Management, 34, 5-36.