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Structural Analysis of the Cooperation Network Among the Tourist Accommodation Actors in Santa Clara City, Cuba

Received: 15 June 2018    Accepted: 16 August 2018    Published: 11 October 2018
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Abstract

Today’s world is experiencing how the hospitality and travel industry takes off, tourism has become into the revitalizing activity of many emerging economies, and this is the reason for its constant evolution and complexity. The Accommodation Section as the operative base of the hospitality sector has started a development in a series of steps, at the same time that managing it turns even more difficult if the deepest characteristics aren´t studied properly. In Cuba, specifically in Santa Clara City there are problems to carry out an efficient management of the tourist accommodations section, due to the lack of more complex studies showing important structural aspects regarding to the relationships between the accommodation actors. This circumstance leads, necessarily, to set in motion new analytical perspectives of tourist accommodation which go beyond the traditional ones. Taking into consideration the above expressed it is proposed a structural analysis of the relationship networks between the tourist accommodation actors in Santa Clara Municipality, taking as methodological foundation the procedure presented by Alvarez 2015, using quantitative and qualitative techniques, data processing will be made in The UCINET 6 Software for analyzing social networks, using also the Complete Networks Method. The results show difference in interests, low centrality measures, and low density that is why analytical fundaments are proposed in order to improve the existent network.

DOI 10.11648/j.ss.20180705.12
Published in Social Sciences (Volume 7, Issue 5, October 2018)
Page(s) 211-215
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Tourism, Accommodation, Actors, Networks, Centrality Measures

References
[1] Borgatti, Everett, & Freeman, R. E. (2002). Ucinet for Windows: Software for Social Networks Analysis. Harvard University, Harvard.
[2] Cepero, K. A. (2015). Procedimiento para la definición de Estrategias de Cooperación Integrada entre los actores de alojamiento turístico en un territorio. Departamento de Turismo. Universidad Central "Marta Abreu" de las Villas. Cuba.
[3] Cepero, K. Á., González, R. M., & Chaviano, E. L. M. (2017). Relaciones entre los actores públicos y privado individual del alojamiento turístico en Remedios. Teoría y Praxis. doi: 10.22403/UQROOMX/TYP23/03.
[4] Cortijo, G. I. M., & Mogollón, J. M. H. (2011). Los Stakeholders del Turismo Vol. 1. Retrieved from.
[5] Cruz, G. M. (2011). Análisis del entramado institucional involucrado en la gestión de destinos turísticos. Los casos de Villa Gesell y Pinamar (Argentina). (Máster), Universidad Internacional de Andalucía.
[6] Freeman, R. E. (1984). Stakeholder Theory of the Modern Corporation General Issues in Business Ethics.
[7] Gallicchio, E. (2004). El desarrollo local en America Latina Estrategia política basada en la construccion de capital social.
[8] García, O. C. (2014). Redes y Sistemas Complejos Ciencias de la Computación e Ingeniería Artificial. España.
[9] Guyer-Freuler, E. (1874). Das Hotelwesen der Gegenwart.
[10] Hanneman, R. A. (2013). Introducción a los métodos del análisis de redes sociales. Departamento de Sociología de la Universidad de California Riverside. Universidad de California Riverside. EE. UU.
[11] Long, R. (2013). Development sociology. Actors Perspectives (Routledge Ed.). Nueva York.
[12] Mazón, A. M., & Moradela, L. F. (2013). La Cooperación público-privada en el ambito de la promoción de los destinos. El análisis de redes sociales como propuesta metodológica. Cuadernos de turismo, 31, 199-223.
[13] Moscoso, F. V. (2015). El papel de los actores territoriales en la definición y configuración de modelos de desarrollo turístico. Instituto de Investigaciones en Turismo. Universidad de La Plata. Argentina.
[14] OMT. (2001). Cooperación entre los Sectores Público y Privado. Para una Mayor Competitividad del Turismo. OMT.
[15] ONEI. (2016). Anuario Estadistico de Cuba 2015. Retrieved from Cuba
[16] ONU. (2011). Public-Private Partnerships: A New Concept for Infrastructure Development.
[17] Quiroga, Á. (2003). Introducción al análisis de datos reticulares. Universidad Pompeu Fabra, Barcelona.
[18] Rodríguez, R. M. (2011). Redes de actores y desarrollo turístico: estudio de casos en Portugal. Revista de análisis turístico.
[19] Rodríguez, R. M., & Fernández, J. I. P. (2009). Desarrollo turístico y dinámica relacional. Metodología de análisis para la gestión activa de destinos turísticos. Cuadernos de turismo (23), 173-194.
[20] Sheehan, L., & Ritchie, B. (2005). Destination stakeholders. Exploring identity and salience Annals of Tourism Research, 35.
[21] Torres, L. L. P. (2016). Valoración entre los sectores público y privado individual del alojamiento en Santa Clara. (Licenciatura), Universidad Central "Marta Abreu" de Las Villas, Santa Clara.
[22] Velázquez, A. O. Á., & Aguilar, N. G. (2005). Manual introductorio al análisis de redes sociales.
[23] Zapata, M. (2003). «Los agentes turísticos: una aproximación desde la sociología y la ciencia política». Barcelona.
Author Information
  • Department of Tourism, Faculty of Economic Sciences, Central University “Marta Abreu” of Las Villas, Santa Clara, Cuba

  • Department of Tourism, Faculty of Economic Sciences, Central University “Marta Abreu” of Las Villas, Santa Clara, Cuba

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  • APA Style

    Kenia Alvarez Cepero, Hallén Boffil López, Roberto Muñoz González. (2018). Structural Analysis of the Cooperation Network Among the Tourist Accommodation Actors in Santa Clara City, Cuba. Social Sciences, 7(5), 211-215. https://doi.org/10.11648/j.ss.20180705.12

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    ACS Style

    Kenia Alvarez Cepero; Hallén Boffil López; Roberto Muñoz González. Structural Analysis of the Cooperation Network Among the Tourist Accommodation Actors in Santa Clara City, Cuba. Soc. Sci. 2018, 7(5), 211-215. doi: 10.11648/j.ss.20180705.12

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    AMA Style

    Kenia Alvarez Cepero, Hallén Boffil López, Roberto Muñoz González. Structural Analysis of the Cooperation Network Among the Tourist Accommodation Actors in Santa Clara City, Cuba. Soc Sci. 2018;7(5):211-215. doi: 10.11648/j.ss.20180705.12

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  • @article{10.11648/j.ss.20180705.12,
      author = {Kenia Alvarez Cepero and Hallén Boffil López and Roberto Muñoz González},
      title = {Structural Analysis of the Cooperation Network Among the Tourist Accommodation Actors in Santa Clara City, Cuba},
      journal = {Social Sciences},
      volume = {7},
      number = {5},
      pages = {211-215},
      doi = {10.11648/j.ss.20180705.12},
      url = {https://doi.org/10.11648/j.ss.20180705.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ss.20180705.12},
      abstract = {Today’s world is experiencing how the hospitality and travel industry takes off, tourism has become into the revitalizing activity of many emerging economies, and this is the reason for its constant evolution and complexity. The Accommodation Section as the operative base of the hospitality sector has started a development in a series of steps, at the same time that managing it turns even more difficult if the deepest characteristics aren´t studied properly. In Cuba, specifically in Santa Clara City there are problems to carry out an efficient management of the tourist accommodations section, due to the lack of more complex studies showing important structural aspects regarding to the relationships between the accommodation actors. This circumstance leads, necessarily, to set in motion new analytical perspectives of tourist accommodation which go beyond the traditional ones. Taking into consideration the above expressed it is proposed a structural analysis of the relationship networks between the tourist accommodation actors in Santa Clara Municipality, taking as methodological foundation the procedure presented by Alvarez 2015, using quantitative and qualitative techniques, data processing will be made in The UCINET 6 Software for analyzing social networks, using also the Complete Networks Method. The results show difference in interests, low centrality measures, and low density that is why analytical fundaments are proposed in order to improve the existent network.},
     year = {2018}
    }
    

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    AU  - Kenia Alvarez Cepero
    AU  - Hallén Boffil López
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ss.20180705.12
    AB  - Today’s world is experiencing how the hospitality and travel industry takes off, tourism has become into the revitalizing activity of many emerging economies, and this is the reason for its constant evolution and complexity. The Accommodation Section as the operative base of the hospitality sector has started a development in a series of steps, at the same time that managing it turns even more difficult if the deepest characteristics aren´t studied properly. In Cuba, specifically in Santa Clara City there are problems to carry out an efficient management of the tourist accommodations section, due to the lack of more complex studies showing important structural aspects regarding to the relationships between the accommodation actors. This circumstance leads, necessarily, to set in motion new analytical perspectives of tourist accommodation which go beyond the traditional ones. Taking into consideration the above expressed it is proposed a structural analysis of the relationship networks between the tourist accommodation actors in Santa Clara Municipality, taking as methodological foundation the procedure presented by Alvarez 2015, using quantitative and qualitative techniques, data processing will be made in The UCINET 6 Software for analyzing social networks, using also the Complete Networks Method. The results show difference in interests, low centrality measures, and low density that is why analytical fundaments are proposed in order to improve the existent network.
    VL  - 7
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    ER  - 

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