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[EN] This research proposes a framework for collaborative innovation in a public private partnership by applying techniques that combine quantitative data collection and qualitative depth. It proposes a collaborative model that looks to provide competitive advantage by improving tourist services from two perspectives: from the core of public administration, and from the private tourist sector perspective. ; Pons Morera, C.; Canós Darós, L.; Gil Pechuán, I. (2017). A model of collaborative innovation between local government and tourism operators. SERVICE BUSINESS. AN INTERNATIONAL JOURNAL. 1-26. doi:10.1007/s11628-017-0341-x ; S ; 1 ; 26 ; Anderberg MR (1973) Cluster analysis for applications. Academic Press, New York ; Augustyn K (2000) Performance of tourism partnerships: a focus on York. Tour Manag 2:341–351 ; Aziri B, Nedelea A (2013) Business strategies in tourism. Ecoforum 2(1):9 ; Baglieri D, Consoli R (2009) Collaborative innovation in tourism: managing virtual communities. TQM J 21(4):353–364 ; Barbero MI (2009) Métodos de elaboración de escalas. UNED, Madrid ; Beaumont N, Dredge D (2010) Local tourism governance: a comparison of three network approaches. J Sustain Tourism 18(1):7–28 ; Beritelli P, Bieger T, Laesser C (2007) Destination governance: Using corporate governance theories as a foundation for effective destination management. J Travel Res 46:96–107 ; Bigné JE, Aldás J, Küster I, Vila N (2002) Estableciendo los determinantes de la fidelidad del cliente: Un estudio basado en técnicas cualitativas. Investigación y Mark 77:58–62 ; Bruntland GH (1987) Our common future. http://www.un-documents.net/our-common-future.pdf . Consulted in 2016 ; Buch EB, Cabaleiro R (2011) Hacia la determinación de la condición financiera de la administración publica local. Aplicación a los municipios de la comunidad autónoma de Galicia. Academia, Revista latinoamericana de administración, No. 47, pp. 43–60 ; Burke JG, O'Campo P, Peak GL, Gielen AC, McDonnell KA, Trochim WM (2005) An introduction to concept mapping as ...

This book attempts to link some of the recent advances in crowdsourcing with advances in innovation and management. It contributes to the literature in several ways. First, it provides a global definition, insights and examples of this managerial perspective resulting in a theoretical framework. Second, it explores the relationship between crowdsourcing and technological innovation, the development of social networks and new behaviors of Internet users. Third, it explores different crowdsourcing applications in various sectors such as medicine, tourism, information and communication technology (ICT), and marketing. Fourth, it observes the ways in which crowdsourcing can improve production, finance, management and overall managerial performance. Crowdsourcing, also known as massive outsourcing or voluntary outsourcing, is the act of taking a job or a specific task usually performed by an employee of a company or contractors, and outsourcing it to a large group of people or a community (crowd or mass) via the Internet, through an open call. The term was coined by Jeff Howe in a 2006 issue of Wired magazine. It is being developed in different sciences (i.e., medicine, engineering, ICT, management) and is used in the most successful companies of the modern era (i.e., Apple, Facebook, Inditex, Starbucks). The developments in crowdsourcing has theoretical and practical implications, which will be explored in this book. Including contributions from international academics, scholars and professionals within the field, this book provides a global, multidimensional perspective on crowdsourcing.

The development and growth of tourism depend on its sustainability over time and on its benefits for destinations as a whole. However, calculating sustainability is not an easy task. This article focuses on the economic sustainability of tourism growth and, after an exhaustive review of the literature, proposes a quantitative mathematical model to measure it by analysing and calculating leakage in the hotel sector. Leakage analyses the amount of revenue generated by tourists that does not remain in the destination economy. Through a sample of 204 interviews with managers, this study validates the model created and calculates leakage in a mass tourism destination (the Valencian Region in Spain). The paper opens new areas of research in sustainability literature and will be of value to tourism planners and governments in their efforts to implement appropriate tourism development policies. ; Garrigós Simón, FJ.; Galdón Salvador, JL.; Gil Pechuán, I. (2015). The economic sustainability of tourism growth through leakage calculation. Tourism Economics. 21(4):721-739. doi:10.5367/te.2014.0372 ; S ; 721 ; 739 ; 21 ; 4 ; Abelson, P. (2011). Evaluating Major Events and Avoiding the Mercantilist Fallacy*. Economic Papers: A journal of applied economics and policy, 30(1), 48-59. doi:10.1111/j.1759-3441.2011.00096.x ; Adams, P. D., & Parmenter, B. R. (1995). An applied general equilibrium analysis of the economic effects of tourism in a quite small, quite open economy. Applied Economics, 27(10), 985-994. doi:10.1080/00036849500000079 ; Archer, B. (1995). Importance of tourism for the economy of Bermuda. Annals of Tourism Research, 22(4), 918-930. doi:10.1016/0160-7383(95)00018-1 ; Archer, B., & Fletcher, J. (1996). The economic impact of tourism in the Seychelles. Annals of Tourism Research, 23(1), 32-47. doi:10.1016/0160-7383(95)00041-0 ; Arrow, K., Bolin, B., Costanza, R., Dasgupta, P., Folke, C., Holling, C. S., … Pimentel, D. (1995). Economic Growth, Carrying Capacity, and the Environment. Science, 268(5210), ...