Understanding tourists’ leisure expenditure at the destination: a social network analysis

References

• Aguiló Perez, E., & Juaneda, S. C. (2000). Tourist expenditure for mass tourism markets. Annals of Tourism Research, 27(3), 624–637.
   Web of Science ®Google Scholar
• Alegre, J., & Cladera, M. (2010). Tourist expenditure and quality: Why repeat tourists can spend less than first-timers. Tourism Economics, 16(3), 517–533.
   Web of Science ®Google Scholar
• Araña, J. E., León, C. J., Carballo, M. M., & Moreno-Gil, S. (2016). Designing tourist information offices: The role of the human factor. Journal of Travel Research, 55(6), 764–773.
   Web of Science ®Google Scholar
• Asero, V., Gozzo, S., & Tomaselli, V. (2016). Building tourism networks through tourist mobility. Journal of Travel Research, 55(6), 751-763 0047287515569777.
   Web of Science ®Google Scholar
• Baggio, R. (2013, April). Studying complex tourism systems: A novel approach based on networks derived from a time series. Proceedings of the XIV April International Academic Conference on Economic and Social Development, Moscow.
   Google Scholar
• Baggio, R., Scott, N., & Cooper, C. (2010). Network science: A review focused on tourism. Annals of Tourism Research, 37(3), 802–827.
   Web of Science ®Google Scholar
• Baggio, R., Scott, N., & Wang, Z. (2007). What network analysis of the WWW can tell us about the organisation of tourism destinations (CAUTHE 2007: Tourism-Past Achievements, Future Challenges, 262). Sydney, Australia.
   Google Scholar
• Baloglu, S., & McCleary, K. W. (1999). A model of destination image formation. Annals of Tourism Research, 26(4), 868–897.
   Web of Science ®Google Scholar
• Bell, E., & Davison, J. (2013). Visual management studies: Empirical and theoretical approaches. International Journal of Management Reviews, 15(2), 167–184.
   Web of Science ®Google Scholar
• Borgatti, S., Everett, M., & Freeman, L. (1996). UCINET IV version 1.64 reference manual. Analytic Technologies, Natick, MA.
   Google Scholar
• Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet for windows: Software for social network analysis. Harvard, MA: Analysitc Technologies Harvard.
   Google Scholar
• Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Analyzing social networks. London, UK: SAGE Publications.
   Google Scholar
• Brida, J. G., & Scuderi, R. (2013). Determinants of tourist expenditure: A review of microeconometric models. Tourism Management Perspectives, 6, 28–40.
   Google Scholar
• Carballo, M. M., Araña, J. E., León, C. J., & Moreno-Gil, S. (2015). Economic valuation of tourism destination image. Tourism Economics, 21(4), 741–759.
   Web of Science ®Google Scholar
• Cárdenas-García, P. J., Pulido-Fernández, J. I., & Pulido-Fernández, M. C. (2016). The influence of tourist satisfaction on tourism expenditure in emerging urban cultural destinations. Journal of Travel & Tourism Marketing, 33(4), 497–512.
   Web of Science ®Google Scholar
• Casanueva, C., Gallego, Á., & García-Sánchez, M. (2016). Social network analysis in tourism. Current Issues in Tourism, 19(12), 1190–1209.
   Web of Science ®Google Scholar
• Dolnicar, S., Crouch, G. I., Devinney, T., Huybers, T., Louviere, J. J., & Oppewal, H. (2008). Tourism and discretionary income allocation. Heterogeneity among households. Tourism Management, 29(1), 44–52.
   Web of Science ®Google Scholar
• Eugenio-Martin, J. L., & Campos-Soria, J. A. (2014). Economic crisis and tourism expenditure cutback decision. Annals of Tourism Research, 44, 53–73.
   Web of Science ®Google Scholar
• González-Díaz, B., Gómez, M., & Molina, A. (2015). Configuration of the hotel and non-hotel accommodations: An empirical approach using network analysis. International Journal of Hospitality Management, 48, 39–51.
   Web of Science ®Google Scholar
• Hogan, B. (2008). Analysing social networks via the internet. In N. Fielding, R. Lee and G- Blank (Eds.), The Sage handbook of online research methods. Thousand Oaks, CA: Sage Publications. (pp. 141).
   Google Scholar
• Hudson, S., Wang, Y., & Gil, S. M. (2011). The influence of a film on destination image and the desire to travel: A cross-cultural comparison. International Journal of Tourism Research, 13(2), 177–190.
   Web of Science ®Google Scholar
• Hung, W., Shang, J., & Wang, F. (2012). Another look at the determinants of tourism expenditure. Annals of Tourism Research, 39(1), 495–498.
   Web of Science ®Google Scholar
• Hwang, Y., Gretzel, U., & Fesenmaier, D. R. (2006). Multicity trip patterns: Tourists to the United States. Annals of Tourism Research, 33(4), 1057–1078.
   Web of Science ®Google Scholar
• Jang, S., Cai, L. A., Morrison, A. M., & O’Leary, J. T. (2005). The effects of travel activities and seasons on expenditure. International Journal of Tourism Research, 7(6), 335–346.
   Google Scholar
• Kruger, M., Saayman, M., & Manners, B. (2012). Determinants of visitor expenditure at the Tsitsikamma National Park. Journal of Economic and Financial Sciences, 5(1), 11–30.
   Google Scholar
• Laesser, C., & Crouch, G. I. (2006). Segmenting markets by travel expenditure patterns: The case of international visitors to Australia. Journal of Travel Research, 44(4), 397–406.
   Google Scholar
• Lima, J., Eusébio, C., & Kastenholz, E. (2012). Expenditure-based segmentation of a mountain destination tourist market. Journal of Travel & Tourism Marketing, 29(7), 695–713.
   Web of Science ®Google Scholar
• Lin, V. S., Mao, R., & Song, H. (2015). Tourism expenditure patterns in china. Annals of Tourism Research, 54, 100–117.
   Web of Science ®Google Scholar
• Medina-Muñoz, D. R., & Medina-Muñoz, R. D. (2012). Determinants of expenditures on wellness services: The case of Gran Canaria. Regional Studies, 46(3), 309–319.
   Web of Science ®Google Scholar
• Mehmetoglu, M. (2007). Nature-based tourists: The relationship between their trip expenditures and activities. Journal of Sustainable Tourism, 15(2), 200–215.
   Google Scholar
• Merinero-Rodríguez, R., & Pulido-Fernández, J. I. (2016). Analysing relationships in tourism: A review. Tourism Management, 54, 122–135.
   Web of Science ®Google Scholar
• Mok, C., & Iverson, T. J. (2000). Expenditure-based segmentation: Taiwanese tourists to Guam. Tourism Management, 21(3), 299–305.
   Web of Science ®Google Scholar
• Moreno-Gil, S., & Martín-Santana, J. D. (2015). Understanding the image of self-contained and serviced apartments: The case of sun and Beach destinations. Journal of Hospitality & Tourism Research, 39(3), 373–400.
   Web of Science ®Google Scholar
• Nicolau, J. L., & Más, F. J. (2005). Heckit modelling of tourist expenditure: Evidence from Spain. International Journal of Service Industry Management, 16(3), 271–293.
   Google Scholar
• Oh, J. Y., & Schuett, M. A. (2010). Exploring expenditure-based segmentation for rural tourism: Overnight stay visitors versus excursionists to fee-fishing sites. Journal of Travel & Tourism Marketing, 27(1), 31–50.
   Web of Science ®Google Scholar
• Pavlovich, K. (2003). The evolution and transformation of a tourism destination network: The Waitomo caves, New Zealand. Tourism Management, 24(2), 203–216.
   Web of Science ®Google Scholar
• Pforr, C. (2006). Tourism policy in the making: An Australian network study. Annals of Tourism Research, 33(1), 87–108.
   Web of Science ®Google Scholar
• Pouta, E., Neuvonen, M., & Sievänen, T. (2006). Determinants of nature trip expenditures in southern Finland - implications for nature tourism development. Scandinavian Journal of Hospitality and Tourism, 6(2), 118–135.
   Google Scholar
• Pulido-Fernández, J. I., Cárdenas-García, P. J., & Carrillo-Hidalgo, I. (2016). Trip cultural activities and tourism expenditure in emerging urban-cultural destinations. International Journal of Tourism Research, 18(4), 286–296.
   Web of Science ®Google Scholar
• Sainaghi, R., & Baggio, R. (2014). Structural social capital and hotel performance: Is there a link? International Journal of Hospitality Management, 37, 99–110.
   Web of Science ®Google Scholar
• Scarles, C. (2010). Where words fail, visuals ignite: Opportunities for visual autoethnography in tourism research. Annals of Tourism Research, 37(4), 905–926.
   Web of Science ®Google Scholar
• Scott, N. R., Cooper, C. P., & Baggio, R. (2007). Use of network analysis in tourism research. In Advances in tourism marketing conference (ATMC). Valencia, Spain: Publicacions de la Universitat de Valencia.
   Google Scholar
• Seiler, V. L., Hsieh, S., Seiler, M. J., & Hsieh, C. (2003). Modeling travel expenditures for taiwanese tourism. Journal of Travel & Tourism Marketing, 13(4), 47–60.
   Google Scholar
• Shih, H. (2006). Network characteristics of drive tourism destinations: An application of network analysis in tourism. Tourism Management, 27(5), 1029–1039.
   Web of Science ®Google Scholar
• Smallwood, C. B., Beckley, L. E., & Moore, S. A. (2012). An analysis of visitor movement patterns using travel networks in a large marine park, north-western Australia. Tourism Management, 33(3), 517–528.
   Web of Science ®Google Scholar
• Stienmetz, J. L., & Fesenmaier, D. R. (2015). Estimating value in Baltimore, Maryland: An attractions network analysis. Tourism Management, 50, 238–252.
   Web of Science ®Google Scholar
• Sun, R. H., Hao, J. X., Fong, D. K. C., Law, R., & Yu, Y. (2016, June). Exploring the expenditure-based profile of macao visitors: A cluster analysis. Proceedings of Pacific Asia Conference on Information Systems (PACIS) (p. 133), Chiayi, Taywan.
   Google Scholar
• Tang, J., Ramos, V., Cang, S., & Sriboonchitta, S. (2017). An empirical study of inbound tourism demand in China: A copula-GARCH approach. Journal of Travel & Tourism Marketing, 34(9), 1235–1246.
   Web of Science ®Google Scholar
• Thrane, C., & Farstad, E. (2012). Nationality as a segmentation criterion in tourism research: The case of international tourists’ expenditures while on trips in Norway. Tourism Economics, 18(1), 203–217.
   Web of Science ®Google Scholar
• Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1–17.
   Web of Science ®Google Scholar
• Verplanken, B., & Wood, W. (2006). Interventions to break and create consumer habits. Journal of Public Policy & Marketing, 25(1), 90–103.
   Web of Science ®Google Scholar
• Wang, Y., & Davidson, M. C. G. (2010). A review of micro-analyses of tourist expenditure. Current Issues in Tourism, 13(6), 507–524.
   Web of Science ®Google Scholar
• Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications (Vol. 8). Cambridge, U.K.: Cambridge university press.
   Google Scholar
• Woodside, A. G., Cruickshank, B. F., & Dehuang, N. (2007). Stories visitors tell about Italian cities as destination icons. Tourism Management, 28(1), 162–174.
   Web of Science ®Google Scholar
• Ye, Q., Zhang, Z., & Law, R. (2009). Sentiment classification of online reviews to travel destinations by supervised machine learning approaches. Expert Systems with Applications, 36(3), 6527–6535.
   Web of Science ®Google Scholar
• Zach, F., & Gretzel, U. (2011). Tourist-activated networks: Implications for dynamic bundling and en route recommendations. Information Technology & Tourism, 13(3), 229–238.
   Google Scholar
• Zhang, H., Zhang, J., & Kuwano, M. (2012). An integrated model of tourists’ time use and expenditure behaviour with self-selection based on a fully nested Archimedean copula function. Tourism Management, 33(6), 1562–1573.
   Web of Science ®Google Scholar