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Modeling of resultant effects in assessment of innovative activity of the hotel organizations

Author

Listed:
  • Sayabek Ziyadin

    (Al-Farabi Kazakh National University, Kazakhstan)

  • Nataliya Shash

    (Plekhanov Russian University of Economics, Russian Federation)

  • Tatyana Levchenko

    (Sochi State University, Russian Federation)

  • Saltanat Khudaibergenova

    (Al-Farabi Kazakh National University, Kazakhstan)

  • Gulmira Yessenova

    (S. Seifullin Kazakh Agro Technical University, Kazakhstan)

Abstract

Now much attention is paid to development of innovative and digital technologies, advance on the market of innovations of grocery, technological and also organizational and administrative character that result, as a rule, are resultant effects. The tourism industry – an important element of any economic system where resultant effects are shown especially brightly and visually, owing to continuous emergence of new requirements. The innovative activity of the hotel organizations in this context is of particular importance consisting in need of obtaining by them competitive advantages and fuller satisfaction of dynamically changing consumer demand for the tourist product made by them. To assess the innovative activity of organizations and its innovative competitiveness are widely used indicators of innovative activity of the organization. One of the main directions for the creation of quality services is the strict observance of the parameters of comfort, which are developed by the practice of the tourist business and are universal for hotels, catering facilities or a travel company. The most significant innovative technologies include the use of the Internet in order to promote and implement a tourist product and real competition for tourism organizations.

Suggested Citation

  • Sayabek Ziyadin & Nataliya Shash & Tatyana Levchenko & Saltanat Khudaibergenova & Gulmira Yessenova, 2019. "Modeling of resultant effects in assessment of innovative activity of the hotel organizations," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 2180-2193, June.
    • Handle: RePEc:ssi:jouesi:v:6:y:2019:i:4:p:2180-2193
    DOI: 10.9770/jesi.2019.6.4(43)
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    References listed on IDEAS

    as
    1. Eugenia Panfiluk & Elżbieta Szymańska, 2017. "The measurement of the innovativeness of health tourism services using an adequacy matrix title of the article," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 4(4), pages 400-420, June.
    2. Olga Chkalova & Marina Efremova & Vladimir Lezhnin & Anna Polukhina & Marina Sheresheva, 2019. "Innovative mechanism for local tourism system management: a case study," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 2052-2067, June.
    3. Eugenia Panfiluk & Elżbieta Szymańska, 2017. "The measurement of the innovativeness of health tourism services using an adequacy matrix title of the article," Post-Print hal-01860905, HAL.
    4. Nikolova, Milena S. & Hassan, Salah S., 2013. "Nation branding effects on retrospective global evaluation of past travel experiences," Journal of Business Research, Elsevier, vol. 66(6), pages 752-758.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    resultant effect; innovative activity; hotel business; factorial model; stochastic count; indicators; assessment of innovative activity; hotel organizations;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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