This study discusses on the identification of the tourists’ destination satisfaction attributes and the influence of these factors on their revisit intention to Nepal. This study used the survey methodology for data collection and involved the distribution of self-administered questionnaires to a sample of tourists. An exploratory factor analysis, with principal component analysis and varimax rotation, was used to extract significant factors related to satisfaction with destination features. Using maximum likelihood method, a probit model was analyzed to test the impact of tourists’ satisfaction with their revisit intention. The probit model predicts 93.5% of the cases correctly. The tourists were considered to be budget travellers as 92% of them spent less than $40 per person per day during their visit. The result also shows that satisfaction with destination characteristics such as historic and religious places, experiencing different lifestyle, trekking & mountaineering, adventure sports, and tourist guide service, are realized to significantly influence the probability of revisit intention of budget travellers to Nepal.
Khan, M.J., Chelliah, S. and Ahmed, S. (2017) Factors Influencing Destination Image and Visit Intention among Young Women Travellers: Role of Travel Motivation, Perceived Risks, and Travel Constrains. Asia Pacific Journal of Tourism Research, 22, 1139-1155. https://doi.org/10.1080/10941665.2017.1374985
Sonmez, S.F. and Graefe, A.R. (1998) Determining Future Travel Behavior from Past Travel Experience and Perception of Risk and Safety. Journal of Travel Research, 37, 171-177. https://doi.org/10.1177/004728759803700209
Bigne, J.E., Sanchez, I. and Andreu, L. (2009) The Role of Variety Seeking in Short and Long Run Revisit Intentions in Holiday Destinations. International Journal of Culture, Tourism and Hospitality Research, 3, 103-115.
Loi, L.T.I., So, A.S.I., Lo, I.S. and Fong, L.H.N. (2017) Does the Quality of Tourist Shuttles Influence Revisit Intention through Destination Image and Satisfaction? The Case of Macao. Journal of Hospitality & Tourism Management, 32, 115-123.
Seetanah, B., Teeroovengadum, V. and Nunkoo, R. (2020) Destination Satisfaction and Revisit Intention of Tourists: Does the Quality of Airport Services Matter? Journal of Hospitality & Tourism Research, 44, 134-148.
Scheyvens, R. and Russell, M. (2012) Tourism and Poverty Alleviation in Fiji: Comparing the Impacts of Small and Large Scale Tourism Enterprises. Journal of Sustainable Tourism, 20, 417-436. https://doi.org/10.1080/09669582.2011.629049
Bam, N. and Kunwar, A. (2020) Tourist Satisfaction: Relationship Analysis among Its Antecedents and Revisit Intention. Advances in Hospitality and Tourism Research, 8, 30-47. https://doi.org/10.30519/ahtr.519994
Uzunoz, M. and Akcay, Y. (2012) A Case Study of Probit Model Analysis of Factors Affecting Consumption of Packed and Unpacked Milk in Turkey. Economics Research International, 2012, 324-331. https://doi.org/10.1155/2012/732583
Alabi, O.O., Lawal, A.F., Coker, A.A. and Awoyinka, Y.A. (2014) Probit Model Analysis of Smallholder’s Farmer’s Decision to Use Agrochemical Inputs in Gwagwalada and Kuje Area Councils of Federal Capital Territory, Abuja, Nigeria. International Journal of Food and Agricultural Economics, 2, 1-9.
Albert, J.H. and Chib, S. (1993) Bayesian Analysis of Binary and Polychotomous Response Data. Journal of the American Statistical Association, 88, 669-679.
Fornell, C. and Larcker, D.F. (1981) Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50. https://doi.org/10.1177/002224378101800104
Borooah, V.K. (2002) Logit and Probit: Ordered and Multinomial Models. Series Quantitative Applications in the Social Science, Vol. 138. Sage Publications, London. https://doi.org/10.4135/9781412984829