DIGITAL PLATFORM FOR TOURISM LOGISTICS MANAGEMENT: A METHODOLOGICAL APPROACH TO EFFECTIVENESS ASSESSMENT
DOI:
https://doi.org/10.30857/2786-5398.2026.4.4Keywords:
tourism logistics, digital platform, tourist flows, integral assessment, effectiveness, cultural capital, tourism area managementAbstract
The article substantiates the need for a comprehensive assessment of the effectiveness of a digital platform for tourism logistics management as an instrument for coordinating tourist, information, transport, service, and financial flows within a tourism area. It is established that conventional indicators used to evaluate digital products, including the number of downloads, user activity, and transaction volume, do not fully reflect their impact on the organization of tourist flows, the accessibility of cultural sites, the quality of the tourist experience, and the economic performance of tourism system participants. A methodological approach to assessing the effectiveness of a digital platform is proposed. The approach involves the formation of a system of logistics, technological, user-related, cultural, economic, social and environmental indicators. Procedures for indicator normalization, determination of weighting coefficients, and construction of component indices are substantiated. An integral effectiveness indicator is proposed to summarise the assessment results, account for the balance among individual components, and reduce the extent to which low results in one component can be offset by high values of other parameters. Particular attention is paid to assessing the transport accessibility of tourist sites, the spatial distribution of tourist flows, the involvement of lesser-known cultural locations, the monetization of cultural capital, and the economic outcomes for local partners. The possibilities of applying the proposed approach during the pilot implementation of a digital tourism platform in Ukraine are identified. The practical significance of the results lies in their potential use by tourism management authorities, tourism enterprises, and digital solution developers to substantiate investments, monitor implementation outcomes, and make informed decisions on platform scaling. The proposed methodology can be adapted to the conditions of different tourism regions. The object of the proposed assessment approach is an author-developed conceptual model of such a platform, considered as a project-based digital solution for subsequent pilot testing in Ukraine.
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Шевелюк М. М. Цифровізація у сфері туризму: інноваційні тренди і пріоритетні напрями розвитку. Питання культурології. 2021. № 38. С. 226–235. DOI: https://doi.org/10.31866/2410-1311.38.2021.245956.
Горчак Р. Цифровізація внутрішнього туризму в Україні: стан, ініціативи та аналітика. Інновації та технології в сфері послуг і харчування. 2025. № 2 (16). С. 139–145. DOI: https://doi.org/10.32782/2708-4949.2(16).2025.22.
Gretzel U., Sigala M., Xiang Z., Koo C. Smart tourism: foundations and developments. Electronic Markets. 2015. Vol. 25, No. 3. P. 179–188. DOI: https://doi.org/10.1007/s12525-015-0196-8.
Baggio R., Del Chiappa G. Tourism Destinations as Digital Business Ecosystems. Information and Communication Technologies in Tourism 2013 / ed. by L. Cantoni, Z. Xiang. Berlin, Heidelberg: Springer, 2013. P. 183–194. DOI: https://doi.org/10.1007/978-3-642-36309-2_16.
Buhalis D., Amaranggana A. Smart Tourism Destinations Enhancing Tourism Experience Through Personalisation of Services. Information and Communication Technologies in Tourism 2015 / ed. by I. Tussyadiah, A. Inversini. Cham: Springer, 2015. P. 377–389. DOI: https://doi.org/10.1007/978-3-319-14343-9_28.
DeLone W. H., McLean E. R. The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems. 2003. Vol. 19, No. 4. P. 9–30. DOI: https://doi.org/10.1080/07421222.2003.11045748.
Throsby D. Cultural Capital. Journal of Cultural Economics. 1999. Vol. 23, No. 1–2. P. 3–12. DOI: https://doi.org/10.1023/A:1007543313370.
Xiang Z., Magnini V. P., Fesenmaier D. R. Information technology and consumer behavior in travel and tourism: Insights from travel planning using the Internet. Journal of Retailing and Consumer Services. 2015. Vol. 22. P. 244–249. DOI: https://doi.org/10.1016/j.jretconser.2014.08.005.
Buhalis D., Law R. Progress in information technology and tourism management: 20 years on and 10 years after the Internet – the state of eTourism research. Tourism Management. 2008. Vol. 29, No. 4. P. 609–623. DOI: https://doi.org/10.1016/j.tourman.2008.01.005.
The Digital Transition of Tourism. Mobility and Transport. Brussels: European Commission. European Commission. URL: https://transport.ec.europa.eu/tourism/transition-eu-tourism/digital-transition-tourism_en.
OECD (2026). OECD Tourism Trends and Policies 2026. Paris: OECD Publishing. 328 p. DOI: https://doi.org/10.1787/3fd3cd75-en.
García A., Arbelaitz O., Linaza M. T., Vansteenwegen P., Souffriau W. Personalized Tourist Route Generation. Current Trends in Web Engineering. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 2010. Vol. 6385. P. 486–497. DOI: https://doi.org/10.1007/978-3-642-16985-4_47.
"Overtourism"? Understanding and Managing Urban Tourism Growth beyond Perceptions. Madrid: UNWTO, 2018. DOI: https://doi.org/10.18111/9789284420070.
European Commission. Commission Recommendation (EU) 2021/1970 of 10 November 2021 on a Common European Data Space for Cultural Heritage. Official Journal of the European Union. 2021. L 401. P. 5–16.
Handbook on Constructing Composite Indicators: Methodology and User Guide. Paris: OECD Publishing, 2008. 162 p. DOI: https://doi.org/10.1787/9789264043466-en.
Munda G., Nardo M. Noncompensatory/nonlinear composite indicators for ranking countries: A defensible setting. Applied Economics. 2009. Vol. 41, No. 12. P. 1513–1523. DOI: https://doi.org/10.1080/00036840601019364.
Callaway B., Sant’Anna P. H. C. Difference-in-Differences with multiple time periods. Journal of Econometrics. 2021. Vol. 225, No. 2. P. 200–230. DOI: https://doi.org/10.1016/j.jeconom.2020.12.001.
Saisana M., Saltelli A., Tarantola S. Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. Journal of the Royal Statistical Society: Series A. 2005. Vol. 168, No. 2. P. 307–323. DOI: https://doi.org/10.1111/j.1467-985X.2005.00350.x.
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