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

Year 2022, Volume: 10 Issue: 2, 327 - 336, 01.06.2022
https://doi.org/10.30519/ahtr.1097884

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.

References

  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281-302. https://doi.org/10.1037/h0040957
  • 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
  • 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
  • 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
  • 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
  • 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
  • Hair, J. F., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2017b). A Primer on Partial Least Squares Structural Equation Modeling. Sage.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • SmartPLS. Model Fit. SmartPLS. Retrieved 11 March from https://www.smartpls.com/documentation/algorithms-and-techniques/model-fit/
  • 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
  • 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).
  • 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
Year 2022, Volume: 10 Issue: 2, 327 - 336, 01.06.2022
https://doi.org/10.30519/ahtr.1097884

Abstract

References

  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281-302. https://doi.org/10.1037/h0040957
  • 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
  • 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
  • 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
  • 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
  • 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
  • Hair, J. F., Hult, G. T., Ringle, C. M., & Sarstedt, M. (2017b). A Primer on Partial Least Squares Structural Equation Modeling. Sage.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • SmartPLS. Model Fit. SmartPLS. Retrieved 11 March from https://www.smartpls.com/documentation/algorithms-and-techniques/model-fit/
  • 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
  • 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).
  • 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
There are 34 citations in total.

Details

Primary Language English
Subjects Tourism (Other)
Journal Section Research Note
Authors

Gürkan Aybek 0000-0002-5536-5440

Hatice Karakaş 0000-0001-5893-1199

Publication Date June 1, 2022
Submission Date April 3, 2022
Published in Issue Year 2022 Volume: 10 Issue: 2

Cite

APA 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), 10(2), 327-336. https://doi.org/10.30519/ahtr.1097884


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