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From Leakage to Crowdsourcing: A Model for Enhancing the Participation of Local Firms

In: Advances in Crowdsourcing

Author

Listed:
  • José Luis Galdón Salvador

    (Universitat Politècnica de València)

  • Ignacio Gil-Pechuán

    (Universitat Politècnica de València)

Abstract

Tourism is a critical part of the economy of any country. This is essentially because in addition to being the world’s largest industry, tourism also has an important multiplier effect on other industries. However, not all tourism revenue remains in the local region, and for this reason, the concept of leakage becomes critical. Leakage studies the amount of revenue generated by tourists which does not stay in the destination country. This phenomenon occurs especially in developing countries, where lower local industrial development increases dependence on foreign countries. Therefore, the second part of the paper highlights the need to implement new business modelsBusiness Model in order to minimise leakage. For many authors, the best way to reduce the impact of leakage on the economy of different companies in a region is by enhancing linkages between local companies. The main concept in this case is to achieve the participationParticipation of the community. In this vein, one of the most important activities being used by firms is crowdsourcing, an activity defined as taking a specific task and outsourcingOutsourcing it to a large group of people via the Internet through an open call. This study delves into the concept of crowdsourcing presented as a technique for reducing leakage with the aim not only of increasing the satisfaction of employees and customers but also building a new business model that empowers local economies by improving their entrepreneurial environment and helps hotels to improve their profitability.

Suggested Citation

  • José Luis Galdón Salvador & Ignacio Gil-Pechuán, 2015. "From Leakage to Crowdsourcing: A Model for Enhancing the Participation of Local Firms," Springer Books, in: Fernando J. Garrigos-Simon & Ignacio Gil-Pechuán & Sofia Estelles-Miguel (ed.), Advances in Crowdsourcing, edition 127, chapter 0, pages 63-71, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-18341-1_5
    DOI: 10.1007/978-3-319-18341-1_5
    as

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