All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Innovations in Tourism Marketing: Sharing Economy Platform

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04130081%3A_____%2F20%3AN0000007" target="_blank" >RIV/04130081:_____/20:N0000007 - isvavai.cz</a>

  • Alternative codes found

    RIV/26441021:_____/20:N0000016

  • Result on the web

    <a href="https://mmi.fem.sumdu.edu.ua/en/journals/2020/1/11-25" target="_blank" >https://mmi.fem.sumdu.edu.ua/en/journals/2020/1/11-25</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21272/mmi.2020.1-01" target="_blank" >10.21272/mmi.2020.1-01</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Innovations in Tourism Marketing: Sharing Economy Platform

  • Original language description

    This research summarizes the arguments and counterarguments within the scientific discussion on the issue of potential tax evasions and increased rental rates that one of innovative home-sharing platforms might causes. The study aims to find possible tax evasion that each property and each host can cause by considering creative activities in tourism marketing and a sharing economy platform, Airbnb in Prague. Besides, the authors identified the potential problems in the rental accommodation market. Systematization literary sources and approaches for solving the problem of sharing economy platforms indicate that although these platforms benefit for some economic, social and environmental issues, they pose some troubles in various markets. Regarding methodological tools of the research method, this paper used a web scraping technique to gain data from the Airbnb website. The authors analysed 13918 accommodations that were rented by 6768 Airbnb users between April 2016 and March 2017. In the study, the authors used the Microsoft Excel 2016 program and a model created by researchers to make calculations. The paper presented the results of an empirical analysis showing that in case the sensitive regulation of the number of nights will apply the potential tax incomes will lower only on 0.98% when considering accommodations and on 6.40% when considering users. In this case, 16832 rental units will appear in the long-term housing market. Moreover, tax evasion becomes more when considering each dwelling instead of each host because some users rented more than one rental accommodation. The research also empirically confirms and theoretically proves that that extended limits for overnight stays yield benefits for costs, supply and demand of rental housing. Those findings can be useful for governments, academicians that are interested in tourism marketing, firms in the accommodation industry that look for new marketing innovations and short or long-term housing market participants such as lessor and lessees.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Marketing and Management of Innovations

  • ISSN

    2218-4511

  • e-ISSN

  • Volume of the periodical

    2020

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    UA - UKRAINE

  • Number of pages

    15

  • Pages from-to

    11-25

  • UT code for WoS article

    000521645100001

  • EID of the result in the Scopus database