Integration of partial least squares path modeling for sustainable tourism development
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Date
2019-07
Authors
Pavlenchyk, Nataliіa
Mekhovych, Serhii
Bohoslavets, Oksana
Богославець, Оксана Григорівна
Богославец, Оксана Григорьевна
Opanashchuk, Yurii
Опанащук, Юрій Якович
Опанащук, Юрий Яковлевич
Hotra, Viktoriya
Hayvoronska, Inna
Journal Title
Journal ISSN
Volume Title
Publisher
Blue Eyes Intelligence Engineering and Sciences Publication
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.
Description
Keywords
sustainable tourism, tourism industry, expert assessment method, priori ranking, affecting factors
Citation
Integration of partial least squares path modeling for sustainable tourism development / Nataliіa Pavlenchyk, Serhii Mekhovych, Oksana Bohoslavets [et al.] // International Journal of Recent Technology and Engineering. – 2019. – Vol. 8, Iss. 2, July. – P. 4309–4312.