IDEAS home Printed from https://ideas.repec.org/h/spr/conchp/978-3-319-45462-7_49.html
   My bibliography  Save this book chapter

Building a Strategy of Development of Hospitality Industry on the Basis of Improvement of the System of Personnel Training

In: Integration and Clustering for Sustainable Economic Growth

Author

Listed:
  • Natalia A. Zaitseva

    (Plekhanov Russian University of Economics)

  • Anna A. Larionova

    (Moscow State University of Design and Technology)

  • Marina A. Morozova

    (St. Petersburg State University of Film and Television)

  • Ruslan V. Yakimenko

    (Sakhalin State University)

  • Irina V. Balitskaya

    (Sakhalin State University)

Abstract

Topicality of the studied problem is predetermined by the fact that the issue of personnel training is a restraining factor of development of hotel industry. The purpose of the article is to determine directions for improvement of personnel training for hotel industry on the basis of professional standards. Within the scientific work “Formation of organizational and economic mechanism of creation of the national system of professional qualifications in the hospitality industry”, the authors develop the algorithm of the procedure of independent evaluation of professional qualifications. The authors of the article substantiate that creation of national and sectorial systems of professional qualification is a necessary condition of not only improvement of personnel training but of increase of labor efficiency and goods and services’ quality. The results of the research could be used in hospitality industry and in other sectors of economy of Russia and other countries.

Suggested Citation

  • Natalia A. Zaitseva & Anna A. Larionova & Marina A. Morozova & Ruslan V. Yakimenko & Irina V. Balitskaya, 2017. "Building a Strategy of Development of Hospitality Industry on the Basis of Improvement of the System of Personnel Training," Contributions to Economics, in: Elena G. Popkova & Valentina E. Sukhova & Aleksey F. Rogachev & Yulia G. Tyurina & Olga A. Boris & V (ed.), Integration and Clustering for Sustainable Economic Growth, pages 507-517, Springer.
  • Handle: RePEc:spr:conchp:978-3-319-45462-7_49
    DOI: 10.1007/978-3-319-45462-7_49
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:conchp:978-3-319-45462-7_49. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.