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Journals / Advances in Hospitality and Tourism Research (AHTR) / 2022 / Cilt: 10 - Sayı: 2

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

Gürkan AYBEK
Hatice KARAKAŞ
Pages
327–336
Publication Date
2022-10-11
DOI
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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.
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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:Domain Parameters

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.

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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), Cilt: 10 - Sayı: 2, 327–336. https://ajindex.com/articles/429407

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References (10)

  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. 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
  6. 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
  7. Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281-302. https://doi.org/10.1037/h0040957
  8. 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
  9. 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 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
  10. Duarte, P., & Amaro, S. (2018). Methods for modelling ref