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Research Articles

Application of machine learning to predict visitors’ green behavior in marine protected areas: evidence from Cyprus

ORCID Icon, ORCID Icon & ORCID Icon
Pages 2479-2505 | Received 09 Sep 2020, Accepted 02 Feb 2021, Published online: 10 Mar 2021

References

  • Abubakar, A. M., Behravesh, E., Rezapouraghdam, H., & Yildiz, S. B. (2019). Applying artificial intelligence technique to predict knowledge hiding behavior. International Journal of Information Management, 49, 45–57. https://doi.org/10.1016/j.ijinfomgt.2019.02.006
  • Afifi, E., Mavondo, F., Ramkissoon, H., & Aleti, T. (2017).  The role of advertising stereotypes in destination image formation and behavioural intentions of tourists to consume indigenous tourism attractions. CAUTHE 2017: Time for Big Ideas? Re-Thinking the Field for Tomorrow, 610.
  • Afsar, B., Badir, Y., & Kiani, U. S. (2016). Linking spiritual leadership and employee pro-environmental behavior: The influence of workplace spirituality, intrinsic motivation, and environmental passion. Journal of Environmental Psychology, 45, 79–88. https://doi.org/10.1016/j.jenvp.2015.11.011
  • Ahani, A., Rahim, N. Z. A., & Nilashi, M. (2017). Forecasting social CRM adoption in SMEs: A combined SEM-neural network method. Computers in Human Behavior, 75, 560–578. https://doi.org/10.1016/j.chb.2017.05.032
  • Akhshik, A., Ozturen, A., & Rezapouraghdam, H. (2020). A passionate travel to mind green turtles—Unpacking the complexity of visitors' green behaviour. International Journal of Tourism Research, https://doi.org/10.1002/jtr.2407
  • Akhshik, A., Rezapouraghdam, H., & Ramkissoon, H. (2020). Industrialization of Nature in the Time of Complexity Unawareness: The Case of Chitgar Lake, Iran. Journal of Hospitality & Tourism Research, 1096348020964949.
  • Al Shehhi, M., & Karathanasopoulos, A. (2020). Forecasting hotel room prices in selected GCC cities using deep learning. Journal of Hospitality and Tourism Management, 42, 40–50. https://doi.org/10.1016/j.jhtm.2019.11.003
  • Ari, E., Karatepe, O. M., Rezapouraghdam, H., & Avci, T. (2020). A conceptual model for green human resource management: Indicators, differential pathways, and multiple pro-environmental outcomes. Sustainability, 12(17), 7089. https://doi.org/10.3390/su12177089
  • Ataoğlu, F. (2019). retrieved December 19, 2020, from https://www.hurriyet.com.tr/ekonomi/kktcnin-hedefi-1-5-milyon-turist-41152796.
  • Atsalakis, G. S., Atsalaki, I. G., & Zopounidis, C. (2018). Forecasting the success of a new tourism service by a neuro-fuzzy technique. European Journal of Operational Research, 268(2), 716–727. https://doi.org/10.1016/j.ejor.2018.01.044
  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74–94.
  • Bargeman, B., & Richards, G. (2020). A new approach to understanding tourism practices. Annals of Tourism Research, 84, 102988 https://doi.org/10.1016/j.annals.2020.102988
  • Bini, S. A. (2018). Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care? The Journal of Arthroplasty, 33(8), 2358–2361. https://doi.org/10.1016/j.arth.2018.02.067
  • Boavida-Portugal, I., Ferreira, C. C., & Rocha, J. (2017). Where to vacation? An agent-based approach to modelling tourist decision-making process. Current Issues in Tourism, 20(15), 1557–1574. https://doi.org/10.1080/13683500.2015.1041880
  • Byrne, D. S. (1998). Complexity theory and the social sciences: An introduction. Psychology Press. ES.United Kingdom.
  • Bryson, J. J., & Kime, P. P. (2011). Just an artifact: Why machines are perceived as moral agents [Paper presentation]. In Twenty-Second International Joint Conference on Artificial Intelligence, June.
  • Camiñas, J. A., & De Málaga, C. O. (2004). Sea turtles of the Mediterranean Sea: population dynamics, sources of mortality and relative importance of fisheries impacts. FAO Fisheries Report, 738, 27–84.
  • Chen, H., & Rahman, I. (2018). Cultural tourism: An analysis of engagement, cultural contact, memorable tourism experience and destination loyalty. Tourism Management Perspectives, 26, 153–163. https://doi.org/10.1016/j.tmp.2017.10.006
  • Claveria, O., Monte, E., & Torra, S. (2016). Combination forecasts of tourism demand with machine learning models. Applied Economics Letters, 23(6), 428–431.
  • Coudounaris, D. N., & Sthapit, E. (2017). Antecedents of memorable tourism experience related to behavioral intentions. Psychology & Marketing, 34(12), 1084–1093.
  • D’Costa 1995: Smith-Sebasto, N. J., & D'Costa, A. (1995). Designing a Likert-type scale to predict environmentally responsible behavior in undergraduate students: A multistep process. The Journal of Environmental Education, 27(1), 14–20. https://doi.org/10.1080/00958964.1995.9941967
  • de Rubens, G. Z. (2019). Who will buy electric vehicles after early adopters? Using machine learning to identify the electric vehicle mainstream market. Energy, 172, 243–254.
  • de Souza, E. N., Boerder, K., Matwin, S., & Worm, B. (2016). Improving fishing pattern detection from satellite AIS using data mining and machine learning. PloS One, 11(7), e0158248. https://doi.org/10.1371/journal.pone.0158248
  • Dewnarain, S., Ramkissoon, H., & Mavondo, F. (2019). Social customer relationship management: An integrated conceptual framework. Journal of Hospitality Marketing & Management, 28(2), 172–188. https://doi.org/10.1080/19368623.2018.1516588
  • Ellis, G. D., & Rossman, J. R. (2008). Creating Value for Participants through Experience Staging: Parks, Recreation, and Tourism in the Experience Industry. Journal of Park & Recreation Administration, 26(4), 1–20.
  • Fennell, D. A. (2008). Ecotourism: an Introduction., third ed. Routledge.
  • Forestell, P. H., Kaufman, G. D. (1990, May). The history of whale watching in Hawaii and its role in enhancing visitor appreciation for endangered species. In Proceedings of the 1990 Congress on Coastal and Marine Tourism (Vol. 2, pp. 399–407). National Coastal Resources Research Institute.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39–50.
  • Froemelt, A., Buffat, R., & Hellweg, S. (2020). Machine learning based modeling of households: A regionalized bottom‐up approach to investigate consumption‐induced environmental impacts. Journal of Industrial Ecology, 24(3), 639–652. https://doi.org/10.1111/jiec.12969
  • Gigerenzer, G., & Brighton, H. (2009). Homo heuristicus: Why biased minds make better inferences. Topics in cognitive science, 1(1), 107–143.
  • Gilal, F. G., Ashraf, Z., Gilal, N. G., Gilal, R. G., & Channa, N. A. (2019). Promoting environmental performance through green human resource management practices in higher education institutions: A moderated mediation model. Corporate Social Responsibility and Environmental Management, 26(6), 1579–1590.
  • Gladwell, M. (2006). The tipping point: How little things can make a big difference. Little, Brown.
  • Gohary, A., Pourazizi, L., Madani, F., & Chan, E. Y. (2020). Examining Iranian tourists’ memorable experiences on destination satisfaction and behavioral intentions. Current Issues in Tourism, 23(2), 131–136. https://doi.org/10.1080/13683500.2018.1560397
  • Gousse-Lessard, A. S., Vallerand, R. J., Carbonneau, N., & Lafrenière, M. A. K. (2013). The role of passion in mainstream and radical behaviors: A look at environmental activism. Journal of Environmental Psychology, 35, 18–29. https://doi.org/10.1016/j.jenvp.2013.03.003
  • Grant, S. B., Duong, K., Rippy, M. A., Pierce, G., Feldman, D., Zanetti, E., & McNulty, A. (2020). From yards to cities: a simple and generalizable probabilistic framework for upscaling outdoor water conservation behavior. Environmental Research Letters, 15(5), 054010. https://doi.org/10.1088/1748-9326/ab7c1e
  • Hassan, A., & Ramkissoon, H. (2021). Potentials of tourism products and services in Bangladesh. In A. Hassan (Ed.), Tourism marketing in Bangladesh: An introduction (pp.317–328). Routledge.
  • Hausmann, C., Jonason, A., & Summers–Effler, E. (2011). Interaction ritual theory and structural symbolic interactionism. Symbolic Interaction, 34(3), 319–329. https://doi.org/10.1525/si.2011.34.3.319
  • Higham, J., & Carr, A. (2002). Ecotourism visitor experiences in Aotearoa/New Zealand: challenging the environmental values of visitors in pursuit of pro-environmental behaviour. Journal of Sustainable Tourism, 10(4), 277–294. https://doi.org/10.1080/09669580208667168
  • Huang, Y. F., Zhang, Y., & Quan, H. (2019). The relationship among food perceived value, memorable tourism experiences and behaviour intention: the case of the Macao food festival. International Journal of Tourism Sciences, 19(4), 258–268.
  • Jiao, E. X., & Chen, J. L. (2019). Tourism forecasting: A review of methodological developments over the last decade. Tourism Economics, 25(3), 469–492. https://doi.org/10.1177/1354816618812588
  • Junot, A., Paquet, Y., & Martin-Krumm, C. (2017). Passion for outdoor activities and environmental behaviors: A look at emotions related to passionate activities. Journal of Environmental Psychology, 53, 177–184.
  • Karaboga, D., & Kaya, E. (2019). Adaptive network based fuzzy inference system (ANFIS) training approaches: A comprehensive survey. Artificial Intelligence Review, 52(4), 2263–2293. https://doi.org/10.1007/s10462-017-9610-2
  • Karaboga, D., & Kaya, E. (2020). Estimation of number of foreign visitors with ANFIS by using ABC algorithm. Soft Computing, 24(10), 7579–7591. https://doi.org/10.1007/s00500-019-04386-5
  • Karatepe, O. M., Rezapouraghdam, H., & Hassannia, R. (2020a). Job insecurity, work engagement and their effects on hotel employees’ non-green and nonattendance behaviors. International Journal of Hospitality Management, 87, 102472. https://doi.org/10.1016/j.ijhm.2020.102472
  • Karatepe, O. M., Rezapouraghdam, H., & Hassannia, R. (2020b). Does employee engagement mediate the influence of psychological contract breach on pro-environmental behaviors and intent to remain with the organization in the hotel industry? Journal of Hospitality Marketing & Management, 1–28. https://doi.org/10.1080/19368623.2020.1812142
  • Kelly, C. (2020). Beyond ‘a trip to the seaside’: exploring emotions and family tourism experiences. Tourism Geographies, 1–22.
  • Kim, H., & Chen, J. S. (2019). The memorable travel experience and its reminiscence functions. Journal of Travel Research, 58(4), 637–649. https://doi.org/10.1177/0047287518772366
  • Kim, J. H. (2018). The impact of memorable tourism experiences on loyalty behaviors: The mediating effects of destination image and satisfaction. Journal of Travel Research, 57(7), 856–870. https://doi.org/10.1177/0047287517721369
  • Kim, J. H., & Ritchie, J. B. (2014). Cross-cultural validation of a memorable tourism experience scale (MTES). Journal of Travel Research, 53(3), 323–335. https://doi.org/10.1177/0047287513496468
  • Kim, J. H., Ritchie, J. B., & McCormick, B. (2012). Development of a scale to measure memorable tourism experiences. Journal of Travel Research, 51(1), 12–25. https://doi.org/10.1177/0047287510385467
  • Kim, Y. J., Lee, D. K., & Kim, C. K. (2020). Spatial tradeoff between biodiversity and nature-based tourism: Considering mobile phone-driven visitation pattern. Global Ecology and Conservation, 21, e00899. https://doi.org/10.1016/j.gecco.2019.e00899
  • Kollmuss, A., & Agyeman, J. (2002). Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental Education Research, 8(3), 239–260. https://doi.org/10.1080/13504620220145401
  • Landon, A. C., Woosnam, K. M., & Boley, B. B. (2018). Modeling the psychological antecedents to tourists’ pro-sustainable behaviors: An application of the value-belief-norm model. Journal of Sustainable Tourism, 26(6), 957–972. https://doi.org/10.1080/09669582.2017.1423320
  • Lee, T. H., Jan, F. H., & Huang, G. W. (2015). The influence of recreation experiences on environmentally responsible behavior: The case of Liuqiu Island, Taiwan. Journal of Sustainable Tourism, 23(6), 947–967. https://doi.org/10.1080/09669582.2015.1024257
  • Lee, T. H., Jan, F. H., & Yang, C. C. (2013). Environmentally responsible behavior of nature-based tourists: A review. International Journal of Development and Sustainability, 2(1), 100–115.
  • Lee, Y. K., Pei, F., Ryu, K. S., & Choi, S. (2019). Why the tripartite relationship of place attachment, loyalty, and pro-environmental behaviour matter? Asia Pacific Journal of Tourism Research, 24(3), 250–267. https://doi.org/10.1080/10941665.2018.1564344
  • Lezak, S. B., & Thibodeau, P. H. (2016). Systems thinking and environmental concern. Journal of Environmental Psychology, 46, 143–153. https://doi.org/10.1016/j.jenvp.2016.04.005
  • Li, Q. C., & Wu, M. Y. (2019). Rationality or morality? A comparative study of pro-environmental intentions of local and nonlocal visitors in nature-based destinations. Journal of Destination Marketing & Management, 11, 130–139. https://doi.org/10.1016/j.jdmm.2019.01.003
  • Li, Q., & Wu, M. (2020). Tourists’ pro-environmental behaviour in travel destinations: benchmarking the power of social interaction and individual attitude. Journal of Sustainable Tourism, 28(9), 1371–1389. https://doi.org/10.1080/09669582.2020.1737091
  • Li, X., Li, H., Pan, B., & Law, R. (2020). Machine learning in Internet search query selection for tourism forecasting. Journal of Travel Research, 0047287520934871.
  • Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z. (2017). A SEM-neural network approach for predicting antecedents of m-commerce acceptance. International Journal of Information Management, 37(2), 14–24. https://doi.org/10.1016/j.ijinfomgt.2016.10.008
  • Loureiro, S. M. C. (2014). The role of the rural tourism experience economy in place attachment and behavioral intentions. International Journal of Hospitality Management, 40, 1–9. https://doi.org/10.1016/j.ijhm.2014.02.010
  • Lück, M. (2015). Education on marine mammal tours–But what do tourists want to learn? Ocean & Coastal Management, 103, 25–33. https://doi.org/10.1016/j.ocecoaman.2014.11.002
  • Lück, M. (2016). The teachable moments on marine mammal tours: Watching versus swim-with tours. Coastal Management, 44(2), 131–138. https://doi.org/10.1080/08920753.2016.1135274
  • MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing: Causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542–555. https://doi.org/10.1016/j.jretai.2012.08.001
  • Mackie, J. L. (1974). The cement of the universe: A study of causation. Clarendon Press.
  • Maldonado-Oré, E. M., & Custodio, M. (2020). Visitor environmental impact on protected natural areas: An evaluation of the Huaytapallana Regional Conservation Area in Peru. Journal of Outdoor Recreation and Tourism, 31, 100298. https://doi.org/10.1016/j.jort.2020.100298
  • Marsh et al. 2013: Marsh, H. W., Vallerand, R. J., Lafrenière, M. A. K., Parker, P., Morin, A. J., Carbonneau, N., … & Paquet, Y. (2013). Passion: Does one scale fit all? Construct validity of two-factor passion scale and psychometric invariance over different activities and languages. Psychological assessment, 25(3), 796. https://doi.org/10.1037/a0032573
  • McCarthy, J. (2007). What is artificial intelligence? http://jmc.stanford.edu/articles/whatisai/whatisai.pdf.
  • McDonald, J. R. (2009). Complexity science: an alternative world view for understanding sustainable tourism development. Journal of Sustainable Tourism, 17(4), 455–471. https://doi.org/10.1080/09669580802495709
  • Mol, A. P. (2006). Ecological modernization. In Encyclopedia of Globalization. (No. A to E, pp. 354–357). Routledge, A Taylor and Francis Company.
  • Neuhofer, B., Buhalis, D., & Ladkin, A. (2014). A typology of technology‐enhanced tourism experiences. International Journal of Tourism Research, 16(4), 340–350. https://doi.org/10.1002/jtr.1958
  • Nilashi, M., Ahani, A., Esfahani, M. D., Yadegaridehkordi, E., Samad, S., Ibrahim, O., Sharef, N. M., & Akbari, E. (2019). Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach. Journal of Cleaner Production, 215, 767–783. https://doi.org/10.1016/j.jclepro.2019.01.012
  • Nilashi, M., Bagherifard, K., Rahmani, M., & Rafe, V. (2017). A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques. Computers & Industrial Engineering, 109, 357–368. https://doi.org/10.1016/j.cie.2017.05.016
  • Nunkoo, R., & Ramkissoon, H. (2012). Structural equation modelling and regression analysis in tourism research. Current Issues in Tourism, 15(8), 777–802. https://doi.org/10.1080/13683500.2011.641947
  • Nunkoo, R., Ramkissoon, H., & Gursoy, D. (2013). Use of structural equation modeling in tourism research: Past, present, and future. Journal of Travel Research, 52(6), 759–771. https://doi.org/10.1177/0047287513478503
  • Olya, H. G., & Akhshik, A. (2019). Tackling the complexity of the pro-environmental behavior intentions of visitors to turtle sites. Journal of Travel Research, 58(2), 313–332. https://doi.org/10.1177/0047287517751676
  • Olya, H., Altinay, L., Farmaki, A., Kenebayeva, A., & Gursoy, D. (2020). Hotels’ sustainability practices and guests’ familiarity, attitudes and behaviours. Journal of Sustainable Tourism, 1–19.
  • Olya, H. G., & Gavilyan, Y. (2017). Configurational models to predict residents’ support for tourism development. Journal of Travel Research, 56(7), 893–912.
  • Perles‐Ribes, J. F., Ramón‐Rodríguez, A. B., Moreno‐Izquierdo, L., & Such‐Devesa, M. J. (2020). Machine learning techniques as a tool for predicting overtourism: The case of Spain. International Journal of Tourism Research, 22(6), 825–838. https://doi.org/10.1002/jtr.2383
  • Pratt, S., & Suntikul, W. (2016). Can marine wildlife tourism provide an “edutaining” experience? Journal of Travel & Tourism Marketing, 33(6), 867–884. https://doi.org/10.1080/10548408.2015.1069778
  • Ragin, C. C. (2009). Redesigning social inquiry: Fuzzy sets and beyond. University of Chicago Press.
  • Ragin, C. C. (2014). The comparative method: Moving beyond qualitative and quantitative strategies. University of California Press.
  • Ramkissoon, H. (2020). COVID-19 Place confinement, pro-social, pro-environmental behaviors, and residents' wellbeing: A new conceptual framework. Front Psychol, 11, 2248 https://doi.org/10.3389/fpsyg.2020.02248
  • Ramkissoon, H., & Mavondo, F. T. (2015). The satisfaction–place attachment relationship: Potential mediators and moderators. Journal of Business Research, 68(12), 2593–2602. https://doi.org/10.1016/j.jbusres.2015.05.002
  • Ramkissoon, H., & Mavondo, F. T. (2017). Proenvironmental behavior: Critical link between satisfaction and place attachment in Australia and Canada. Tourism Analysis, 22(1), 59–73. https://doi.org/10.3727/108354217X14828625279735
  • Ramkissoon, H., Mavondo, F., & Sowamber, V. (2020). Corporate social responsibility at LUX* resorts and hotels: Satisfaction and loyalty implications for employee and customer social responsibility. Sustainability, 12(22), 9745. https://doi.org/10.3390/su12229745
  • Ramkissoon, H., Mavondo, F., & Uysal, M. (2018). Social involvement and park citizenship as moderators for quality-of-life in a national park. Journal of Sustainable Tourism, 26(3), 341–361. https://doi.org/10.1080/09669582.2017.1354866
  • Ramkissoon, H., Smith, L. D. G., & Weiler, B. (2013). Relationships between place attachment, place satisfaction and pro-environmental behaviour in an Australian national park. Journal of Sustainable Tourism, 21(3), 434–457. https://doi.org/10.1080/09669582.2012.708042
  • Ramkissoon, H., & Uysal, M. (2014). Authenticity as a value co-creator of tourism experiences. Creating experience value in tourism, 113–124.
  • Ramkissoon, H., & Uysal, M. S. (2018). Authenticity as a value co-creator of tourism experiences. Creating experience value in tourism, 3, 98–109.
  • Ramkissoon, H., Weiler, B., & Smith, L. D. G. (2012). Place attachment and pro-environmental behaviour in national parks: The development of a conceptual framework. Journal of Sustainable Tourism, 20(2), 257–276. https://doi.org/10.1080/09669582.2011.602194
  • Rezapouraghdam, H., Alipour, H., & Darvishmotevali, M. (2018). Employee workplace spirituality and pro-environmental behavior in the hotel industry. Journal of Sustainable Tourism, 26(5), 740–758. https://doi.org/10.1080/09669582.2017.1409229
  • Robertson, J. L., & Barling, J. (2013). Greening organizations through leaders' influence on employees' pro-environmental behaviors. Journal of Organizational Behavior, 34(2), 176–194. https://doi.org/10.1002/job.1820
  • Schwab, K. (2016). The fourth industrial revolution. World Economic Forum/Penguin.
  • Shi, F., Weaver, D., Zhao, Y., Huang, M. F., Tang, C., & Liu, Y. (2019). Toward an ecological civilization: Mass comprehensive ecotourism indications among domestic visitors to a Chinese wetland protected area. Tourism Management, 70, 59–68. https://doi.org/10.1016/j.tourman.2018.07.011
  • Siegel, L., Cutter-Mackenzie-Knowles, A., & Bellert, A. (2018). Still ‘minding the gap’sixteen years later:(re) storying pro-environmental behaviour. Australian Journal of Environmental Education, 34(2), 189–203.
  • Simons, I. (2020). Changing identities through collective performance at events: the case of the Redhead Days. Leisure Studies, 39(4), 568–517. https://doi.org/10.1080/02614367.2020.1768281
  • Smit, B., & Melissen, F. (2018). Sustainable customer experience design: Co-creating experiences in events, tourism and hospitality. Routledge.
  • Smith-Sebasto, N. J., & D'Costa, A. (1995). Designing a Likert-type scale to predict environmentally responsible behavior in undergraduate students: A multistep process. The Journal of Environmental Education, 27(1), 14–20. https://doi.org/10.1080/00958964.1995.9941967
  • Stankov, U., & Gretzel, U. (2020). Tourism 4.0 technologies and tourist experiences: a human-centered design perspective. Information Technology & Tourism, 22(3), 477–488.
  • Steg, L., & Vlek, C. (2009). Encouraging pro-environmental behaviour: An integrative review and research agenda. Journal of Environmental Psychology, 29(3), 309–317. https://doi.org/10.1016/j.jenvp.2008.10.004
  • Sterchele, D. (2020). Memorable tourism experiences and their consequences: An interaction ritual (IR) theory approach. Annals of Tourism Research, 81, 102847. https://doi.org/10.1016/j.annals.2019.102847
  • Sthapit, E., Björk, P., & Coudounaris, D. N. (2017). Emotions elicited by local food consumption, memories, place attachment and behavioural intentions. Anatolia, 28(3), 363–380. https://doi.org/10.1080/13032917.2017.1322111
  • Sthapit, E., Coudounaris, D. N., & Björk, P. (2019). Extending the memorable tourism experience construct: an investigation of memories of local food experiences. Scandinavian Journal of Hospitality and Tourism, 19(4-5), 333–353. https://doi.org/10.1080/15022250.2019.1689530
  • Su, L., Huang, S. S., & Pearce, J. (2018). How does destination social responsibility contribute to environmentally responsible behaviour? A destination resident perspective. Journal of Business Research, 86, 179–189.
  • Sun, S., Wei, Y., Tsui, K. L., & Wang, S. (2019). Forecasting tourist arrivals with machine learning and internet search index. Tourism Management, 70, 1–10. https://doi.org/10.1016/j.tourman.2018.07.010
  • Tang, H., Xu, Y., Lin, A., Heidari, A. A., Wang, M., Chen, H., Luo, Y., & Li, C. (2020). Predicting green consumption behaviors of students using efficient firefly grey wolf-assisted k-nearest neighbor classifiers. IEEE Access., 8, 35546–35562. https://doi.org/10.1109/ACCESS.2020.2973763
  • Thapa, B. (2010). The mediation effect of outdoor recreation participation on environmental attitude-behavior correspondence. The Journal of environmental education, 41(3), 133–150. https://doi.org/10.1080/00958960903439989
  • Triantafillidou, A., & Petala, Z. (2016). The role of sea-based adventure experiences in tourists’ satisfaction and behavioral intentions. Journal of Travel & Tourism Marketing, 33(sup1), 67–87. https://doi.org/10.1080/10548408.2015.1008667
  • Tsai, C. T. (2016). Memorable tourist experiences and place attachment when consuming local food. International Journal of Tourism Research, 18(6), 536–548. https://doi.org/10.1002/jtr.2070
  • Tussyadiah, I. (2020). A review of research into automation in tourism: Launching the annals of tourism research curated collection on artificial intelligence and robotics in tourism. Annals of Tourism Research, 81, 102883. https://doi.org/10.1016/j.annals.2020.102883
  • Vallerand, R. J. (2010). On passion for life activities: The dualistic model of passion. In Advances in experimental social psychology (Vol. 42, pp. 97–193). Academic Press.
  • Vallerand, R. J., Blanchard, C., Mageau, G. A., Koestner, R., Ratelle, C., Léonard, M., Gagné, M., & Marsolais, J. (2003). Les passions de l'ame: on obsessive and harmonious passion. Journal of Personality and Social Psychology, 85(4), 756–767. https://doi.org/10.1037/0022-3514.85.4.756
  • Weenink, D., & Spaargaren, G. (2016). Emotional agency navigates a world of practices. Practice Theory and Research: Exploring the Dynamics of Social Life, 60–84.
  • Wong, J. W. C., Lai, I. K. W., & Tao, Z. (2019). Memorable ethnic minority tourism experiences in China: a case study of Guangxi Zhuang Zu. Journal of Tourism and Cultural Change, 17(4), 508–525. https://doi.org/10.1080/14766825.2019.1600866
  • Wu, J., Font, X., & Liu, J. (2020). Tourists’ pro-environmental behaviors: moral obligation or disengagement? Journal of Travel Research, 0047287520910787.
  • Yadegaridehkordi, E., Nilashi, M., Nasir, M. H. N. B. M., & Ibrahim, O. (2018). Predicting determinants of hotel success and development using Structural Equation Modelling (SEM)-ANFIS method. Tourism Management, 66, 364–386. https://doi.org/10.1016/j.tourman.2017.11.012