Measurement and determinants of smart destinations’ sustainable performance: a two-stage analysis using DEA-Tobit model

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Alan, S., Honoré, B. E., Hu, L., & Leth-Petersen, S. (2014). Estimation of panel data regression models with two-sided censoring or truncation. Journal of Econometric Methods, 3(1), 1–20. https://doi.org/10.1515/jem-2012-0012
   Google Scholar
• Almeida-Santana, A., & Moreno-Gil, S. (2017). New trends in information search and their influence on destination loyalty: Digital destinations and relationship marketing. Journal of Destination Marketing & Management, 6(2), 150–161. https://doi.org/10.1016/j.jdmm.2017.02.003
   Web of Science ®Google Scholar
• Assaf, A. G., & Tsionas, M. G. (2019). A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research. Annals of Tourism Research, 76, 266–277. https://doi.org/10.1016/j.annals.2019.04.010
   Web of Science ®Google Scholar
• Baggio, R., Micera, R., & Del Chiappa, G. (2020). Smart tourism destinations: A critical reflection. Journal of Hospitality and Tourism Technology, 11(3), 407–423. https://doi.org/10.1108/JHTT-01-2019-0011
   Web of Science ®Google Scholar
• Barney, J. B., & Clark, D. N. (2007). Resource-based theory: Creating and sustaining competitive advantage. Oxford University Press.
   Google Scholar
• Buonincontri, P., & Micera, R. (2016). The experience co-creation in smart tourism destinations: A multiple case analysis of European destinations. Information Technology & Tourism, 16(3), 285–315. https://doi.org/10.1007/s40558-016-0060-5
   Web of Science ®Google Scholar
• Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
   Web of Science ®Google Scholar
• Chung, Y. H., Färe, R., & Grosskopf, S. (1997). Productivity and undesirable outputs: A directional distance function approach. Journal of Environmental Management, 51(3), 229–240. https://doi.org/10.1006/jema.1997.0146
   Web of Science ®Google Scholar
• Cooper, W. W., Park, K. S., & Pastor, J. T. (1999). RAM: A range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. Journal of Productivity Analysis, 11(1), 5–42. https://doi.org/10.1023/A:1007701304281
   Web of Science ®Google Scholar
• Cooper, W. W., Pastor, J. T., Borras, F., Aparicio, J., & Pastor, D. (2011). BAM: A bounded adjusted measure of efficiency for use with bounded additive models. Journal of Productivity Analysis, 35(2), 85–94. https://doi.org/10.1007/s11123-010-0190-2
   Web of Science ®Google Scholar
• Corne, A., & Peypoch, N. (2020). On the determinants of tourism performance. Annals of Tourism Research, 85, 103057. https://doi.org/10.1016/j.annals.2020.103057
   Web of Science ®Google Scholar
• Cronjé, D. F., & du Plessis, E. (2020). A review on tourism destination competitiveness. Journal of Hospitality and Tourism Management, 45, 256–265. https://doi.org/10.1016/j.jhtm.2020.06.012
   Web of Science ®Google Scholar
• Deng, Q., Gu, X., Law, R., & Lian, Z. (2020). A comparative study for determinants of gaming performance in Macao and Las Vegas. Tourism Management, 77, 103964. https://doi.org/10.1016/j.tourman.2019.103964
   Web of Science ®Google Scholar
• Du, X., Wu, D., & Yan, Y. (2023). Prediction of electricity consumption based on GM(1,Nr) model in Jiangsu Province, China. Energy, 262, 125439. https://doi.org/10.1016/j.energy.2022.125439
   Web of Science ®Google Scholar
• Errichiello, L., & Micera, R. (2021). A process-based perspective of smart tourism destination governance. European Journal of Tourism Research, 29, 2909–2909. https://doi.org/10.54055/ejtr.v29i.2436
   Web of Science ®Google Scholar
• Färe, R., & Grosskopf, S. (2010). Directional distance functions and slacks-based measures of efficiency. European Journal of Operational Research, 200(1), 320–322. https://doi.org/10.1016/j.ejor.2009.01.031
   Web of Science ®Google Scholar
• Fukuyama, H., & Weber, W. L. (2009). A directional slacks-based measure of technical inefficiency. Socio-Economic Planning Sciences, 43(4), 274–287. https://doi.org/10.1016/j.seps.2008.12.001
   Google Scholar
• Huang, G. I., Karl, M., Wong, I. A., & Law, R. (2023). Tourism destination research from 2000 to 2020: A systematic narrative review in conjunction with bibliographic mapping analysis. Tourism Management, 95, 104686. https://doi.org/10.1016/j.tourman.2022.104686
   Web of Science ®Google Scholar
• Ivars-Baidal, J. A., Celdrán-Bernabeu, M. A., Mazón, J.-N., & Perles-Ivars, ÁF. (2019). Smart destinations and the evolution of ICTs: A new scenario for destination management? Current Issues in Tourism, 22(13), 1581–1600. https://doi.org/10.1080/13683500.2017.1388771
   Web of Science ®Google Scholar
• Kronenberg, K., & Fuchs, M. (2021). Aligning tourism’s socio-economic impact with the United Nations’ sustainable development goals. Tourism Management Perspectives, 39, 100831. https://doi.org/10.1016/j.tmp.2021.100831
   Web of Science ®Google Scholar
• Li, H., Liu, Y.-F., Liang, S., & Zhou, Q. (2020). Tourism firm restructuring: Does the attention of individual investor matter? Tourism Management, 80, 104126. https://doi.org/10.1016/j.tourman.2020.104126
   Web of Science ®Google Scholar
• Lozano-Ramírez, J., Arana-Jiménez, M., & Lozano, S. (2023). A pre-pandemic Data Envelopment Analysis of the sustainability efficiency of tourism in EU-27 countries. Current Issues in Tourism, 26(10), 1669–1687. https://doi.org/10.1080/13683500.2022.2062309
   Web of Science ®Google Scholar
• Mariani, M. M., & Visani, F. (2019). Embedding eWOM into efficiency DEA modelling: An application to the hospitality sector. International Journal of Hospitality Management, 80, 1–12. https://doi.org/10.1016/j.ijhm.2019.01.002
   Web of Science ®Google Scholar
• Mathieson, A., & Wall, G. (1982). Tourism, economic, physical and social impacts. Longman Publishing Group.
   Google Scholar
• McCabe, S., Li, C., & Chen, Z. (2016). Time for a radical reappraisal of tourist decision making? Toward a new conceptual model. Journal of Travel Research, 55(1), 3–15. https://doi.org/10.1177/0047287515592973
   Web of Science ®Google Scholar
• Miller, G., & Torres-Delgado, A. (2023). Measuring sustainable tourism: A state of the art review of sustainable tourism indicators. Journal of Sustainable Tourism, https://doi.org/10.1080/09669582.2023.2213859
   Web of Science ®Google Scholar
• Niavis, S. (2020). Evaluating the spatiotemporal performance of tourist destinations: The case of Mediterranean coastal regions. Journal of Sustainable Tourism, 28(9), 1310–1331. https://doi.org/10.1080/09669582.2020.1736087
   Web of Science ®Google Scholar
• Nunkoo, R., Sharma, A., Rana, N. P., Dwivedi, Y. K., & Sunnassee, V. A. (2023). Advancing sustainable development goals through interdisciplinarity in sustainable tourism research. Journal of Sustainable Tourism, 31(3), 735–759. https://doi.org/10.1080/09669582.2021.2004416
   Web of Science ®Google Scholar
• Pan, B., & Fesenmaier, D. R. (2006). Online information search: Vacation planning process. Annals of Tourism Research, 33(3), 809–832. https://doi.org/10.1016/j.annals.2006.03.006
   Web of Science ®Google Scholar
• Pencarelli, T. (2020). The digital revolution in the travel and tourism industry. Information Technology & Tourism, 22(3), 455–476. https://doi.org/10.1007/s40558-019-00160-3
   Web of Science ®Google Scholar
• Portela, M. S., Thanassoulis, E., & Simpson, G. (2004). Negative data in DEA: A directional distance approach applied to bank branches. Journal of the Operational Research Society, 55(10), 1111–1121. https://doi.org/10.1057/palgrave.jors.2601768
   Web of Science ®Google Scholar
• Sainaghi, R., & Baggio, R. (2017). Complexity traits and dynamics of tourism destinations. Tourism Management, 63, 368–382. https://doi.org/10.1016/j.tourman.2017.07.004
   Web of Science ®Google Scholar
• Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, Search, and Attention. Psychological Review, 84(1), 1–66.
   Web of Science ®Google Scholar
• Shafiee, S., Ghatari, A. R., Hasanzadeh, A., & Jahanyan, S. (2019). Developing a model for sustainable smart tourism destinations: A systematic review. Tourism Management Perspectives, 31, 287–300. https://doi.org/10.1016/j.tmp.2019.06.002
   Web of Science ®Google Scholar
• Tang, R. (2023). Digital economy drives tourism development—empirical evidence based on the UK. Economic Research-Ekonomska Istraživanja, 36(1), 2003–2020. https://doi.org/10.1080/1331677X.2022.2094443
   Google Scholar
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z
   Web of Science ®Google Scholar
• Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509. https://doi.org/10.1016/S0377-2217(99)00407-5
   Web of Science ®Google Scholar
• Wang, Y., Ren, Y., Wu, D., & Qian, W. (2023). Eco-efficiency evaluation and productivity change of Yangtze River Economic Belt in China: a meta-frontier Malmquist-Luenberger index perspective. Energy Efficiency, 16(4), 23. https://doi.org/10.1007/s12053-023-10105-9
   Web of Science ®Google Scholar
• Wang, Y., Wu, D., & Li, H. (2022). Efficiency measurement and productivity progress of regional green technology innovation in China: A comprehensive analytical framework. Technology Analysis & Strategic Management, 34(12), 1432–1448. https://doi.org/10.1080/09537325.2021.1963427
   Web of Science ®Google Scholar
• Wu, D., Li, H., & Wang, Y. (2023a). Measuring sustainability and competitiveness of tourism destinations with data envelopment analysis. Journal of Sustainable Tourism, 31(6), 1315–1335. https://doi.org/10.1080/09669582.2022.2042699
   Web of Science ®Google Scholar
• Wu, D., Li, H., & Yang, J. (2023b). How does social responsibility investment strategy contribute to hospitality firms’ recovery from public health emergencies? The case of COVID-19 pandemic. International Journal of Hospitality Management, 113, 103530. https://doi.org/10.1016/j.ijhm.2023.103530
   PubMed Web of Science ®Google Scholar
• Xiang, Z., & Pan, B. (2011). Travel queries on cities in the United States: Implications for search engine marketing for tourist destinations. Tourism Management, 32(1), 88–97. https://doi.org/10.1016/j.tourman.2009.12.004
   Web of Science ®Google Scholar
• Yuan, Y., Tseng, Y.-H., & Ho, C.-I. (2019). Tourism information technology research trends: 1990-2016. Tourism Review, 74(1), 5–19. https://doi.org/10.1108/TR-08-2017-0128
   Web of Science ®Google Scholar
• Zha, J., Yuan, W., Dai, J., Tan, T., & He, L. (2020). Eco-efficiency, eco-productivity and tourism growth in China: A non-convex metafrontier DEA-based decomposition model. Journal of Sustainable Tourism, 28(5), 663–685. https://doi.org/10.1080/09669582.2019.1699102
   Web of Science ®Google Scholar
• Zhang, M., & Huang, L. (2021). Tourism development and public attention to negative online information: Based on the spatial correlations of tourism demand. Tourism Tribune, 36(7), 81–91. in Chinese.
   Google Scholar
• Zhao, T., Zhang, Z., & Liang, S. (2020). Digital economy, entrepreneurship, and high-quality economic development: Empirical evidence from urban China. Journal of Management World, 36(10), 65–76. in Chinese.
   Google Scholar
• Zhou, P., Ang, B., & Wang, H. (2012). Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach. European Journal of Operational Research, 221(3), 625–635. doi:10.1016/j.ejor.2012.04.022
   Web of Science ®Google Scholar