Journals / Advances in Hospitality and Tourism Research (AHTR) / 2026 / Volume: 10 Issue: 2

Use The Silver Bullet on The Right Beast: A Guide on Usage of PLS-SEM in Tourism and Gastronomy Studies

Hatice Karakaş(AKDENİZ ÜNİVERSİTESİ)0000-0001-5893-1199
Pages
—
Publication Date
2022-06-01
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The literature offered the basis of these misconductions but detected issues have mostly dug out from the unobtrusive statistical editorial experience of the authors.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:PLS based Structural Equation Modelling approach widens in social research with its benefits to ease some methodological struggles.
📊
Key Findings & Data:As a matter of course, tourism and gastronomy fields gladly accept this advantage since the researchers mainly contain end- users in terms of statistical competence.
💡
Conclusion & Impact:The literature offered the basis of these misconductions but detected issues have mostly dug out from the unobtrusive statistical editorial experience of the authors.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:PLS-SEM · tourism · gastronomy

Abstract

PLS based Structural Equation Modelling approach widens in social research with its benefits to ease some methodological struggles. As a matter of course, tourism and gastronomy fields gladly accept this advantage since the researchers mainly contain end- users in terms of statistical competence. However, this extensive use may come with some misunderstandings and errors during the conduction of the technique. Therefore, this editorial research note aims to point out common misunderstandings that appear while using PLS-SEM in tourism and gastronomy research, and to guide to prevent them. The literature offered the basis of these misconductions but detected issues have mostly dug out from the unobtrusive statistical editorial experience of the authors.

🔖

Cite This Article

Aybek, G., Karakaş, H. (2022). Use The Silver Bullet on The Right Beast: A Guide on Usage of PLS-SEM in Tourism and Gastronomy Studies. Advances in Hospitality and Tourism Research (AHTR), Volume: 10 Issue: 2. https://doi.org/10.30519/ahtr.1097884

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (34)

  1. Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514-538. https://doi.org/10.1108/IJCHM-10-2016-0568
  2. Atsız, O., & Akova, O. (2021). Cultural destination attributes, overall tourist satisfaction and tourist loyalty: First timers versus repeaters. Advances in Hospitality and Tourism Research (AHTR), 9(2), 268-291. https://doi.org/10.30519/ahtr.894577
  3. Barclay, D., Thompson, R., & Higgins, C. (1995). The Partial Least Squares (PLS) approach to causal modeling: Personal computer use as an illustration. Technology Studies, 2(2), 285-309.
  4. Becker, J.-M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: Guidelines for using reflective-formative type models. Long Range Planning, 45(5), 359-394. https://doi.org/https://doi.org/10.1016/j.lrp.2012.10.001
  5. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum Associates.
  6. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/https://doi.org/10.1037/0033-2909.112.1.155
  7. Coltman, T., Devinney, T. M., Midgley, D. F., & Venaik, S. (2008). Formative versus reflective measurement models: Two applications of formative measurement. Journal of Business Research, 61(12), 1250-1262. https://doi.org/https://doi.org/10.1016/j.jbusres.2008.01.013
  8. Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281-302. https://doi.org/10.1037/h0040957
  9. Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. https://doi.org/https://doi.org/10.1016/j.techfore.2021.121092
  10. Diamantopoulos, A., & Siguaw, J. A. (2006). Formative Versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration. British Journal of Management, 17(4), 263-282. https://doi.org/https://doi.org/10.1111/j.1467-8551.2006.00500.x
  11. do Valle, P. O., & Assaker, G. (2016). Using partial least squares structural equation modeling in tourism research: A Review of past research and recommendations for future applications. Journal of Travel Research, 55(6), 695-708. https://doi.org/10.1177/0047287515569779
  12. Duarte, P., & Amaro, S. (2018). Methods for modelling reflective-formative second order constructs in PLS: An application to online travel shopping. Journal of Hospitality and Tourism Technology, 9(3), 295-313. https://doi.org/10.1108/JHTT-09-2017-0092
  13. Hagger, M. S., Gucciardi, D. F., & Chatzisarantis, N. L. D. (2017). On nomological validity and auxiliary assumptions: The importance of simultaneously testing effects in social cognitive theories applied to health behavior and some guidelines. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.01933
  14. Hair, J. F., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017a). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458. https://doi.org/10.1108/IMDS-04-2016-0130
  15. Hair, J. F., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2017b). A Primer on Partial Least Squares Structural Equation Modeling. Sage.
  16. Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017c). PLS-SEM or CB-SEM: Updated guidelines on which method to use. Int. J. Multivariate Data Analysis, 1(2), 107-123. https://doi.org/10.1504/IJMDA.2017.087624
  17. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
  18. Henseler, J., Ringle, C.M. and Sinkovics, R.R. (2009), "The use of partial least squares path modeling in international marketing", Sinkovics, R.R. and Ghauri, P.N. (Ed.) New Challenges to International Marketing (Advances in International Marketing, Vol. 20), Emerald Group Publishing Limited, Bingley, pp. 277-319. https://doi.org/10.1108/S1474-7979(2009)0000020014
  19. Hu, L.-t., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424-453. https://doi.org/10.1037/1082-989X.3.4.424
  20. Khan, M., Khan, H., Vachkova, M., & Ghourı, A. (2021). The mediating role of real-time information between location-based user-generated content and tourist gift purchase intention. Advances in Hospitality and Tourism Research (AHTR), 9(1), 49-77. https://doi.org/10.30519/ahtr.799716
  21. Kılıç, İ., Doğantekin, A., & Sarı, Y. (2021). The effect of brochure and virtual reality goggles on purchasing intention in destination marketing. Advances in Hospitality and Tourism Research (AHTR), 9(2), 313-340. https://doi.org/10.30519/ahtr.784131
  22. Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227-261. https://doi.org/https://doi.org/10.1111/isj.12131
  23. Lacap, J. P. G. (2019). The effects of food-related motivation, local food involvement, and food satisfaction on destination loyalty: The case of Angeles City, Philippines. Advances in Hospitality and Tourism Research (AHTR), 7(2), 238-257. https://doi.org/ 10.30519/ahtr.550600
  24. Liu, L., Li, C., & Zhu, D. (2012). A new approach to testing nomological validity and its application to a second-order measurement model of trust. Journal of the Association for Information Systems, 13(12), 950-975. https://doi.org/10.17705/1jais.00320
  25. Marcoulides, G. A., & Saunders, C. (2006). Editor's Comments: PLS: A Silver Bullet? MIS Quarterly, 30(2), iii-ix. https://doi.org/10.2307/25148727
  26. Mateos-Aparicio, G. (2011). Partial Least Squares (PLS) methods: Origins, evolution, and application to social sciences. Communications in Statistics - Theory and Methods, 40(13), 2305-2317. https://doi.org/10.1080/03610921003778225
  27. Paxton, P., Curran, P. J., Bollen, K. A., Kirby, J., & Chen, F. (2001). Monte Carlo experiments: Design and implementation. Structural Equation Modeling: A Multidisciplinary Journal, 8(2), 287-312. https://doi.org/10.1207/S15328007SEM0802_7
  28. 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(6), 467-480. https://doi.org/https://doi.org/10.1016/j.jom.2012.06.002
  29. Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation issues with PLS and CBSEM: Where the bias lies! Journal of Business Research, 69(10), 3998-4010. https://doi.org/https://doi.org/10.1016/j.jbusres.2016.06.007
  30. Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105-115. https://doi.org/https://doi.org/10.1016/j.jfbs.2014.01.002
  31. SmartPLS. Model Fit. SmartPLS. Retrieved 11 March from https://www.smartpls.com/documentation/algorithms-and-techniques/model-fit/
  32. Sop, S. A. (2021). The effect of market-oriented and brand-oriented service improvement on hotel performance. Advances in Hospitality and Tourism Research (AHTR), 9(1), 29-48. https://doi.org/10.30519/ahtr.776199
  33. Tennenhaus, M., Amato, S., & Vinzi, V. E. (2004). A global goodness-of-fit index for PLS structural equation modelling. In Proceedings of the XLII SIS Scientific Meeting (pp. 739-742).
  34. Wang, S., Li, Y., & Wong, J. W. C. (2021). Exploring experiential quality in sport tourism events: The case of Macau Grand Prix. Advances in Hospitality and Tourism Research (AHTR), 9(1), 78-105. https://doi.org/10.30519/ahtr.821699