Integration of Partial Least Squares Path Modeling for Sustainable Tourism Development
Nataliіa Pavlenchyk1, Serhii Mekhovych2, Oksana Bohoslavets3, Yurii Opanashchuk4, Viktoriya Hotra5, Inna Gayvoronska6
1Nataliіa Pavlenchyk, Department of Economics and Management, Lviv State University of Physical Culture Lviv, Ukraine.
2Serhii Mekhovych, Department of Economic Analysis and Accounting National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine.
3Oksana Bohoslavets, Department of Regional Studies and Tourism, Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine.
4Yurii Opanashchuk, Department of Regional Studies and Tourism, Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine.
5Viktoriya Hotra, Department of Enterprise Economics, Uzhhorod National University, Uzhhorod, Ukraine.
6Inna Gayvoronska, Department of Marketing and Business Administration, Odessa I.I. Mechnikov National Odessa, Ukraine.
Manuscript received on 14 March 2019 | Revised Manuscript received on 19 March 2019 | Manuscript published on 30 July 2019 | PP: 4309-4312 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1813078219/19©BEIESP | DOI: 10.35940/ijrte.B1813.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study aims to reveal which factors and their indicators are significant (primary) for sustainable tourism from the point of view of the travellers themselves. The study was conducted in two stages and involved 415 (first phase) and 577 (second phase) respondents. The first stage was conducted online and personal communication, which allowed to question respondents in detail. The second stage was conducted only online using polls on Facebook, Twitter, Google Docs and email. Primary data were presented in the form of respondents’ submissions, obtained as a result of observation through the distribution of questionnaires. Results were processed using a priori ranking technology – expert methods – using MS Excel for automatizing the process. The study revealed what factors generally accepted today and their indicators are significant (primary) from the point of view of the travellers themselves. The division of the empirical part of the study into two components allowed for a more detailed review of the opinions of the respondents and the identification of 9 leading indicators. This article draws attention to the fact that it is necessary to study phenomena not only from a theoretical point of view but also to test empirically, involving the participants in the process. The study will be useful for countries and regions that are committed to sustainable tourism. Technology, as a whole, can be used in any industry where people’s opinion matters. The study is based on the theoretical basis of modern researchers and is supported by an experiment involving direct participants in the process (travellers), i.e. allows you to uncover sustainable tourism and factors affecting it from different angles.
Index Terms: Sustainable Tourism, Tourism Industry, Expert Assessment Method, a Priori Ranking, Affecting Factors.
Scope of the Article: Mobile App Design and Development