PLS-SEM: A hidden gem in tourism research methodology




Partial least squares-structural equation modeling, Higher-order structural modele, Hierarchical component model, Multidimensional construct, PLS predict, tourism


Purpose – The main objective of this paper is to provide a well-organized guide for the application of partial least squares structural equation modeling (PLS-SEM) in tourism research. In this way, the paper strives to encourage future tourism studies to use PLS-SEM and contribute to methodological advances in the field. Methodology – This paper systematically examines the application of PLS-SEM with a particular focus on the application of hierarchical constructs in tourism research and carefully analyzes and classifies the existing literature on PLS-SEM. Results – Specific steps for evaluating and interpreting the hierarchical latent variables of the PLS model are presented and explained. Implications – This paper contributes to advancing the application of PLS-SEM in tourism research by providing researchers with a valuable tool to improve both the rigor of empirical investigation and theoretical development in the field. The insights gained from this paper can guide subsequent research to investigate specific tourism-related scenarios, potentially leading to new transformative discoveries and paradigm shifts in our understanding of tourism dynamics.


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Alhemimah, A. (2022). Understanding tourists’ attitude toward online travel health information during and post-COVID-19: A health belief model application. Tourism and Hospitality Research, 146735842211193.

AlNuaimi, B. K., Khan, M., & Ajmal, M. M. (2021). The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis. Technological Forecasting and Social Change, 169, 120808.

Ansari, Z. A., Bashir, M., & Pradhan, S. (2022). Impact of corona virus outbreak on travellers’ behaviour: Scale development and validation. International Journal of Tourism Cities, 8(3), 658–674.

Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010). On making causal claims: A review and recommendations. The Leadership Quarterly, 21(6), 1086–1120.

Assaker, G. (2014). Examining a hierarchical model of Australia’s destination image. Journal of Vacation Marketing, 20(3), 195–210.

Assaker, G. (2020). The effects of hotel green business practices on consumers’ loyalty intentions: An expanded multidimensional service model in the upscale segment. International Journal of Contemporary Hospitality Management, 32(12), 3787–3807.

Assaker, G., & Hallak, R. (2016). Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in PLS-SEM. Tourism Analysis, 21(6), 661–668.

Assaker, G., Huang, S., & Hallak, R. (2012). Applications of partial least squares structural equation modeling in tourism research: A methodological review. Tourism Analysis, 17(5), 679–686.

Aybek, G., & Özdemır, B. (2022). Effects of ethnic restaurant experience on prospective tourist intentions: Mediating role of food image. Tourism Management Perspectives, 44, 101034.

Badu‐Baiden, F., Kim, S., Ahn, S. W., Wong, A. K. F., & Agrusa, J. (2022). Analysis of vegan restaurant diners’ hierarchical experience structure by examining a vegan food attribute–benefit–value–intention linkage. International Journal of Hospitality & Tourism Administration, 1–28.

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(5–6), 359–394.

Becker, J., Cheah, J., Gholamzade, R., Ringle, C. M., & Sarstedt, M. (2022). PLS-SEM’s most wanted guidance. International Journal of Contemporary Hospitality Management, 35(1), 321–346.

Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, 57(2), 103168.

Byrne, B. M. (2008). Structural equation modeling with EQS: Basic concepts, applications, and programming. Psychology Press.

Chopra, I. P., Lim, W. M., & Jain, T. (2022). Electronic word of mouth on social networking sites: What inspires travelers to engage in opinion seeking, opinion passing, and opinion giving? Tourism Recreation Research, 1–14.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates.

Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302.

Dayour, F. (2023). Modeling perceived information technology (IT) risk as a third-order latent construct and its effect on satisfaction. Journal of Quality Assurance in Hospitality & Tourism, 1–23.

Deng, W., Lu, C., Lin, Y., & Wan, C. (2020). A study on the effect of tourists value co-creation on the perceived value of souvenirs: Mediating role of psychological ownership and authenticity. Asia Pacific Journal of Tourism Research, 26(2), 200–214.

Diamantopoulos, A., Sarstedt, M., Fuchs, C., Wilczynski, P., & Kaiser, S. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: A predictive validity perspective. Journal of the Academy of Marketing Science, 40(3), 434–449.

Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research, 29(3), 430–447.

Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017a). Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632.

Hair, J. F., Hult, T. G. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook (Classroom companion: Business). Springer.

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.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019а). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.

Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019b). Rethinking some of the rethinking of partial least squares. European Journal of Marketing, 53(4), 566–584.

Hair, J., Hult, T. G. M., Ringle, C. M., & Sarstedt, M. (2017b). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.

Hair, J., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017c). Advanced issues in partial least squares structural equation modeling. SAGE Publications.

Hallak, R., Assaker, G., & El-Haddad, R. (2017). Re-examining the relationships among perceived quality, value, satisfaction, and destination loyalty. Journal of Vacation Marketing, 24(2), 118–135.

Hateftabar, F. (2022). Analyzing the adoption of online tourism purchases: Effects of perceived tourism value and personal innovativeness. Current Issues in Tourism, 26(11), 1861–1877.

Henseler, J. (2017). Bridging design and behavioral research with variance-based structural equation modeling. Journal of Advertising, 46(1), 178–192.

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

Howat, G., & Assaker, G. (2013). The hierarchical effects of perceived quality on perceived value, satisfaction, and loyalty: Empirical results from public, outdoor aquatic centres in Australia. Sport Management Review, 16(3), 268–284.

Lee, C., Hallak, R., & Sardeshmukh, S. (2016). Innovation, entrepreneurship, and restaurant performance: A higher-order structural model. Tourism Management, 53, 215–228.

Leung, X. Y., & Jiang, L. (2018). How do destination Facebook pages work? An extended TPB model of fans’ visit intention. Journal of Hospitality and Tourism Technology, 9(3), 397–416.

Luo, L., Qian, T. Y., Rich, G., & Zhang, J. J. (2021). Impact of market demand on recurring hallmark sporting event spectators: an empirical study of the Shanghai Masters. International Journal of Sports Marketing & Sponsorship, 23(2), 311–325.

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.

Medina-Garrido, J. A., Biedma‐Ferrer, J. M., & Bogren, M. (2023). Organizational support for work-family life balance as an antecedent to the well-being of tourism employees in Spain. Journal of Hospitality and Tourism Management, 57, 117–129.

Molinillo, S., Liébana‐Cabanillas, F., Anaya‐Sánchez, R., & Buhalis, D. (2018). DMO online platforms: Image and intention to visit. Tourism Management, 65, 116–130.

Muskat, B., Hörtnagl, T., Prayag, G., & Wagner, S. (2019). Perceived quality, authenticity, and price in tourists’ dining experiences: Testing competing models of satisfaction and behavioral intentions. Journal of Vacation Marketing, 25(4), 480–498.

Nathan, R. J., Victor, V., Tan, M., & Fekete-Farkas, M. (2020). Tourists’ use of Airbnb app for visiting a historical city. Information Technology & Tourism, 22(2), 217–242.

Nguyen, T. H. H. (2020). A reflective–formative hierarchical component model of perceived authenticity. Journal of Hospitality & Tourism Research, 44(8), 1211–1234.

Perez‐Vega, R., Taheri, B., Farrington, T., & O’Gorman, K. D. (2018). On being attractive, social and visually appealing in social media: The effects of anthropomorphic tourism brands on Facebook fan pages. Tourism Management, 66, 339–347.

Petter, S. (2018). “Haters gonna hate”: PLS and information systems research. ACM SIGMIS Database: The Database for Advances in Information Systems, 49(2), 10–13.

Pillai, R., & Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199–3226.

Priporas, C., Stylos, N., Rahimi, R., & Vedanthachari, L. N. (2017). Unraveling the diverse nature of service quality in a sharing economy. International Journal of Contemporary Hospitality Management, 29(9), 2279–2301.

Rasoolimanesh, S. M., & Ali, F. (2018). Guest editorial: Partial least squares – structural equation modeling in hospitality and tourism. Journal of Hospitality and Tourism Technology, 9(3), 238–248.

Richter, N. F., Cepeda, G., Roldán, J. L., & Ringle, C. M. (2016а). European management research using partial least squares structural equation modeling (PLS-SEM). European Management Journal, 34(6), 589–597.

Richter, N. F., Sinkovics, R. R., Ringle, C. M., & Schlägel, C. (2016b). A critical look at the use of SEM in international business research. International Marketing Review, 33(3), 376–404.

Rigdon, E. E., Sarstedt, M., & Ringle, C. M. (2017). On comparing results from CB-SEM and PLS-SEM: Five perspectives and five recommendations. Marketing ZFP, 39(3), 4–16.

Ringle, C. M. (2017, March 1). Redundancy analysis for second order formative construct [Online forum post].

Ritchie, B. W., Sie, L., Gößling, S., & Dwyer, L. (2019). Effects of climate change policies on aviation carbon offsetting: A three-year panel study. Journal of Sustainable Tourism, 28(2), 337–360.

Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J. M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211.

Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022а). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39(5), 1035–1064.

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022b). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of market research (pp. 587–632). Springer.

Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Confirmatory composite analysis. Frontiers in Psychology, 9.

Schuberth, F., Rademaker, M. E., & Henseler, J. (2023). Assessing the overall fit of composite models estimated by partial least squares path modeling. European Journal of Marketing, 57(6), 1678–1702.

Shmueli, G., Ray, S., Velasquez Estrada, J. M., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69(10), 4552–4564.

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347.

Sie, L., Pegg, S., & Phelan, K. V. (2021). Senior tourists’ self-determined motivations, tour preferences, memorable experiences and subjective well-being: An integrative hierarchical model. Journal of Hospitality and Tourism Management, 47, 237–251.

Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74(1), 107–120.

Stadler, M., Sailer, M., & Fischer, F. (2021). Knowledge as a formative construct: A good alpha is not always better. New Ideas in Psychology, 60, 100832.

Sun, H. J., & Yoon, H. H. (2022). Linking organizational virtuousness, engagement, and organizational citizenship behavior: The moderating role of individual and organizational factors. Journal of Hospitality & Tourism Research, 46(5), 879–904.

Tan, K., Sim, A. K., Chai, D., & Beck, L. (2020). Participant well-being and local festivals: The case of the Miri country music festival, Malaysia. International Journal of Event and Festival Management, 11(4), 433–451.

Tasci, A. D., & Godovykh, M. (2021). An empirical modeling of transformation process through trip experiences. Tourism Management, 86, 104332.

Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177.

Wold, H. O. A. (1982). Soft modeling: The basic design and some extensions. In K. G. Jöreskog & H. O. A. Wold (Eds.), Systems under indirect observations (pp. 1–54). North-Holland.




How to Cite

Seočanac, M. (2024). PLS-SEM: A hidden gem in tourism research methodology. Hotel and Tourism Management, 12(1).