The Mediating Role of Behavioural Intentions on the Relationship between Eco-Friendly Perceptions and Behaviour of Guests in Eco-Rated Camps at the Maasai Mara National Reserve, Kenya
Abstract
The study sought to establish the mediating role of behavioural intentions on the relationship between eco-friendly perceptions and behaviour of guests in eco-rated camps at the Maasai Mara National Reserve (MMNR) in Kenya. The approach of the study was guided by Theory of Planned Behaviour (TPB) and a pragmatic philosophical position with an embedded mixed methods research design. Based on the visitor arrivals to the MMNR, 208, 620 visitors were targeted for the study from which 399 were selected using clustered, stratified and proportionate random sampling techniques. Data was collected using questionnaire survey method and analysed with the help of Structural Equation Modelling (SEM) based on the Partial Least Squares technique (PLS). Based on the 272 questionnaires that were returned, the results indicated that, behavioural intentions had partial mediation effect on the relationship between perceived behavioural consequences (40.8%) and perceived behavioural control (30.6%) on eco-friendly behaviour. However behavioural intentions did not have significant mediation effect on perceived subjective norms. The findings underscored the importance of understanding behavioural and control beliefs of hotel guests. Moreover, this study singled out some socio-demographic characteristics of guests which could have an indirectly link to subjective norms and proposed addition of religion, place of origin, travel companionship and monthly expenditure to the TPB. Future researches could deepen understanding of socio-demographic characteristics and their indirect link to subjective norms in different regions as well as investigating eco-friendly behaviour of guests in eco-rated hospitality facilities in Kenyan urban areas
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Ajzen, I. (1985). From intentions to actions: A theory of planned behaviour. In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to behaviour (pp. 11–39), Heidelberg, Germany: Springer.
Ajzen, I. (1991). The Theory of Planned Behaviour. Organizational Behaviour and Human Decision Processes, 50(2), 179–211.
Ajzen, I. (2013). Theory of Planned Behaviour Questionnaire. Measurement Instrument Database for the Social Science. Retrieved on March 24, 2022 from https://www.midss.org/content/theory-planned-behaviour-questionnaire
Baker, M. A., Davis, E. A., & Weaver, P. A. (2013). Eco-friendly Attitudes, Barriers to Participation, and Differences in Behaviour at Green Hotels. Cornell Hospitality Quarterly, 55(1), 89- 99.55(1), 89– 99. https://doi.org/10.1177/1938965513504483
Braksiek, M., Thormann, T. F., & Wicker, P. (2021). Intentions of Environmentally Friendly Behaviour among Sports Club Members: An Empirical Test of the Theory of Planned Behaviour across Genders and Sports. Frontiers in Sports and Active Living, 0, 129. https://doi.org/10.3389/FSPOR.2021.657183
Budovska, V., Torres Delgado, A., & Øgaard, T. (2019). Pro-environmental behaviour of hotel guests: Application of the Theory of Planned Behaviour and social norms to towel reuse. Tourism and hospitality research, 20(1), 105–116. https://doi.org/10.1177/1467358419831431
Cai, S., Long, X., Li, L., Liang, H., Wang, Q., & Ding, X. (2019). Determinants of intention and behaviour of low carbon commuting through bicycle-sharing in China. Journal of Cleaner Production, 212, 602– 609. https://doi.org/10.1016/J.JCLEPRO.2018.12.072
Capstick, S., Whitmarsh, L., Nash, N., Haggar, P., & Lord, J. (2019). Compensatory and Catalyzing Beliefs: Their Relationship to Pro-environmental Behaviour and Behavioral Spillover in Seven Countries. Front. Psychol. 10,963. https://doi.org/10.3389/fpsyg.2019.00963
Clark, S., Farrington, K., & Chilcot, J. (2013). Nonadherence in Dialysis Patients: Prevalence, Measurement, Outcome, and Psychological Determinants. Seminars in Dialysis,27(1), 42–49. doi:10.1111/sdi.12159
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297- 334. https://doi.org/10.1007/BF02310555
Echegaray, F., & Hansstein, F. V. (2017). Assessing the intention-behaviour gap in electronic waste recycling: the case of Brazil. Journal of Cleaner Production, 142, 180-190. doi:10.1016/j.jclepro.2016.05.064
ElHaffar, G., Durif, F., & Dubé, L. (2020). Towards closing the attitude-intention-behaviour gap in green consumption: A narrative review of the literature and an overview of future research directions. Journal of Cleaner Production, 275. https://doi.org/10.1016/J.JCLEPRO.2020.122556
Field, A. (2009). Discovering statistics using SpSS (3rd ed). London: Sage Publications.
Fishbein, M., & Ajzen, I. (2010). Predicting and changing behaviour: The reasoned action approach. New York: Psychology Press.
Fornell, C. & Cha, J. (1994) Partial Least Squares. Advanced Methods of Marketing Research, 407, 52-78.
Gifford, R. D., & Chen, A. K. S. (2017). Why aren’t we taking action? Psychological barriers to climate-positive food choices. Climatic Change, 140(2), 165-178. https://doi.org/10.1007/s10584-016-1830-y
Hair, J. F. J., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. (2010). Multivariate data analysis. New Jersey: Prentice-Hall.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM (2nd ed.). Thousand Oaks, CA: SAGE Publications.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Thousand Oaks, CA: Sage.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C.M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https:// doi. org/ 10. 1108/EBR- 11- 2018- 0203
Henseler, J., Ringle, C.M. & Sinkovics, R.R. (2009). The use of partial least squares path modelling in international marketing. Sinkovics, R.R. and Ghauri, P.N. (Ed.) New Challenges to International Marketing (Advances in International Marketing, 20, 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
Intergovernmental Panel on Climate Change (2018). Global warming of 1.5° C: an IPCC special report on the impacts of global warming of 1.5° C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty. Intergovernmental Panel on Climate Change. https://www.ipcc.ch/site/assets/uploads/sites/2/2019/06/SR15_Full_Report_High_Res.pdf
Kenya National Bureau of Statistics (2022). Economic Survey 2020. Retrieved on August 5, 2022 from https://www.knbs.or.ke/?wpdmpro=economic-survey-2020
Li, D., Zhao, L., Ma, S., Shao, S., & Zhang, L. (2019). What influences an individual’s pro-environmental behaviour? A literature review. Resources, Conservation and Recycling, 146, 28– 34. https://doi.org/10.1016/J.RESCONREC.2019.03.024
Li, L., Long, X., Laubayeva, A., Cai, X., & Zhu, B. (2020). Behavioral intention of environmentally friendly agricultural food: the role of policy, perceived value, subjective norm. Environmental Science and Pollution Research, 27(15), 18949–18961. https://doi.org/10.1007/S11356-020-08261-X
Lin, M. T. B., Zhu, D., Liu, C., & Kim, P. B. (2022). A meta-analysis of antecedents of pro-environmental behavioural intention of tourists and hospitality consumers. Tourism Management, 93, 104566. https://doi.org/10.1016/j.tourman.2022.104566
Liu, X., Wang, Z., Li, W., Li, G., & Zhang, Y. (2019). Mechanisms of public education influencing waste classification willingness of urban residents. Resources, Conservation and Recycling, 149, 381– 390. https://doi.org/10.1016/J.RESCONREC.2019.06.001
MacCallum, R. C., & Austin, J. T. (2003). Applications of Structural Equation Modeling in Psychological Research. Annurev. Psych. 51, 201– 226. https://doi.org/10.1146/ANNUREV.PSYCH.51.1.201
Morris, J., Marzano, M., Dandy, N., & O’Brien, L. (2012). Theories and models of behaviour and behaviour change. Forest Research: Surrey, United Kingdom, 1-27.
Mwenda, E. (2024, March 28). 31 new hotels coming up in Kenya before year end. Business Daily. https://www.businessdailyafrica.com/bd/corporate/companies/31-new-hotels-coming-up-in-kenya-this-year--4572068
Nisa, C., Varum, C., & Botelho, A. (2017). Promoting sustainable hotel guest behaviour: A systematic review and meta-analysis. Cornell Hospitality Quarterly, 58(4), 354-363.
Qalati, S. A., Qureshi, N. A., Ostic, D., & Sulaiman, M. A. B. A. (2022). An extension of the theory of planned behaviour to understand factors influencing Pakistani households’ energy-saving intentions and behaviour: a mediated–moderated model. Energy Efficiency, 15(6), 40. https://doi.org/10.1007/s12053-022-10050-z
Raza, A., Farrukh, M., Wang, G., Iqbal, M. K., & Farhan, M. (2023). Effects of hotels’ corporate social responsibility (CSR) initiatives on green consumer behaviour: Investigating the roles of consumer engagement, positive emotions, and altruistic values. Journal of Hospitality Marketing & Management, 32(7), 870-892. DOI: 10.1080/19368623.2023.2223571
Ricci, E. C., Banterle, A., & Stranieri, S. (2018). Trust to Go Green: An Exploration of Consumer Intentions for Eco-friendly Convenience Food. Ecological Economics, 148, 54– 65. https://doi.org/10.1016/J.ECOLECON.2018.02.010
Rönkkö, M., & Cho, E. (2022). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6- 14. https://doi.org/10.1177/1094428120968614
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of market research, 26(1), 1-40.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of market research, 26(1), 1-40.
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/10.1016/j.jfbs.2014.01.002
Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4-11. https://doi.org/10.12691/ajams-9-1-2
Song, Y., Zhao, C., & Zhang, M. (2019). Does haze pollution promote the consumption of energy-saving appliances in China? An empirical study based on norm activation model. Resources, Conservation and Recycling, 145, 220– 229. https://doi.org/10.1016/J.RESCONREC.2019.02.041
Stoeva, K., & Alriksson, S. (2017). Influence of recycling programmes on waste separation behaviour. Waste Management, 68, 732-741. https://doi.org/10.1016/j.wasman.2017.06.005
Tang, H., Ma, Y., & Ren, J. (2022). Influencing factors and mechanism of tourists' pro-environmental behaviour - Empirical analysis of the CAC-MOA integration model. Frontiers in psychology, 13, 1060404. https://doi.org/10.3389/fpsyg.2022.1060404
Težak Damijanić, A., Pičuljan, M., & Goreta Ban, S. (2023). The Role of Pro-Environmental Behaviour, Environmental Knowledge, and Eco-Labeling Perception in Relation to Travel Intention in the Hotel Industry. Sustainability, 15(13), 10103. https://doi.org/10.3390/su151310103
Tourism Research Institute (2023). Kenya Annual Tourism Sector Performance Report 2022. Retrieved April 7, 2024, from https://www.tourism.go.ke/wp-content/uploads/2023/02/annual-tourism-sector-performance-report-2022-2.pdf
UNWTO. (2020a). UNWTO World Tourism Barometer and Statistical Annex, January 2020. Retrieved on May 5, 2020 from https://www.e- unwto.org/doi/pdf/10.18111/wtobarometereng.2020.18.1.1
UNWTO. (2020b). Tourism and COVID-19. Retrieved on June 6, 2020 from https://www.unwto.org/tourism-covid-19-COVID-19
Wan, C., Shen, G. Q., & Choi, S. (2018). Understanding public support for recycling policy: To unveil the political side of influence and implications. Environmental Science & Policy, 82, 30–43.
Wang, C., Zhang, J., Yu, P., & Hu, H. (2018a). The theory of planned behaviour as a model for understanding tourists’ responsible environmental behaviors: The moderating role of environmental interpretations. Journal of Cleaner Production, 194, 425–434. https://doi.org/10.1016/J.JCLEPRO.2018.05.171
Wang, Z., Dong, X., & Yin, J. (2018b). Antecedents of urban residents’ separate collection intentions for household solid waste and their willingness to pay: Evidence from China. Journal of Cleaner Production, 173, 256– 264. https://doi.org/10.1016/J.JCLEPRO.2016.09.223
White, K., Habib, R., & Hardisty, D. J. (2019). How to SHIFT Consumer Behaviors to be More Sustainable: A Literature Review and Guiding Framework. Journal of Marketing, 83(3), 22– 49. https://doi.org/10.1177/0022242919825649
Whitmarsh, L., & O’Neill, S. (2010). Green identity, green living? The role of pro-environmental self-identity in determining consistency across diverse pro-environmental behaviours. Journal of Environmental Psychology, 30, 305–314. https://doi.org/10.1016/j.jenvp.2010.01.003
WTTC. (2020a). WTTC calls for commitment to sector-wide Climate Neutrality by 2050. Retrieved on May 5, 2020 from https://wttc.org/News-Article/WTTC-calls-for-commitment-to-sector-wide-Climate-Neutrality-by-2050
WTTC. (2020b). COVID-19 puts up to 50 million Travel and Tourism jobs at risk. Retrieved on June 8, 2021 from https://www.wttc.org/about/media-centre/press-releases/press-releases/2020/COVID-19-puts-up-to-50-million-travel-and-tourism-jobs-at-risk-says-wttc/
Yang, Y., Chen, M. H., Su, C. H. J., & Lin, Y. X. (2020). Asymmetric effects of tourist arrivals on the hospitality industry. International Journal of Hospitality Management, 84, 102323.
Copyright (c) 2024 Christine Weveti Kinyua, Rayviscic Mutinda, PhD, Antoneta Njeri, PhD
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