METHODS FOR MANAGING THE LIFE CYCLE OF A TOURIST PRODUCT IN A REGION
Background. At present, the synthesis of models and modeling of tourism business processes is directly determined by the development of ICT, which are a means of connecting travelers around the world both among themselves and with various organizational structures (travel agencies, navigation ser...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Penza State University Publishing House
2023-09-01
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| Series: | Модели, системы, сети в экономике, технике, природе и обществе |
| Subjects: |
| _version_ | 1797687342941601792 |
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| author | L.A. Gamidullaeva A.G. Finogeev |
| author_facet | L.A. Gamidullaeva A.G. Finogeev |
| author_sort | L.A. Gamidullaeva |
| collection | DOAJ |
| description | Background. At present, the synthesis of models and modeling of tourism business
processes is directly determined by the development of ICT, which are a means of connecting
travelers around the world both among themselves and with various organizational
structures (travel agencies, navigation services, financial systems, ticket search and booking
services, hotels, transfers, etc.). However, at present, integrated systems for self-selection of
a tourist product are poorly developed, which use artificial intelligence technologies for a
comparative analysis of TP, taking into account their own experience and the experience of
other tourists. The problem of developing a unified digital tourism ecosystem of the region
with the fullest possible access to other systems and databases is being updated. This determines
the need to develop appropriate methods and approaches and use the latest information
technologies. The purpose of this article is to develop a methodology for representing and
clustering digital twins (avatars) of tourist profiles with fuzzy statements of tourist preferences.
Materials and methods. The methodological basis of the study was general scientific
and special methods of system analysis, modeling, clustering, methods for synthesizing graph
routes, multicriteria optimization and decision making, and the benchmarking method. Results.
The authors have developed and presented an original methodology for clustering the
preferences of tourist profiles and tourist products, a multi-criteria method for synthesizing
tourist routes, as well as a method for comparative analysis (benchmarking) of tourist products.
Conclusions. The article provides a justification for the need to integrate various approaches
and methods to develop a single digital tourism ecosystem in the region for the
integrated management of the life cycle of a tourism product. |
| first_indexed | 2024-03-12T01:16:53Z |
| format | Article |
| id | doaj.art-a3d6e2c7ecb74fd0bc0ac6d0f2820c26 |
| institution | Directory Open Access Journal |
| issn | 2227-8486 |
| language | English |
| last_indexed | 2024-03-12T01:16:53Z |
| publishDate | 2023-09-01 |
| publisher | Penza State University Publishing House |
| record_format | Article |
| series | Модели, системы, сети в экономике, технике, природе и обществе |
| spelling | doaj.art-a3d6e2c7ecb74fd0bc0ac6d0f2820c262023-09-13T11:04:05ZengPenza State University Publishing HouseМодели, системы, сети в экономике, технике, природе и обществе2227-84862023-09-01210.21685/2227-8486-2023-2-2METHODS FOR MANAGING THE LIFE CYCLE OF A TOURIST PRODUCT IN A REGIONL.A. Gamidullaeva0A.G. Finogeev1Penza State UniversityPenza State UniversityBackground. At present, the synthesis of models and modeling of tourism business processes is directly determined by the development of ICT, which are a means of connecting travelers around the world both among themselves and with various organizational structures (travel agencies, navigation services, financial systems, ticket search and booking services, hotels, transfers, etc.). However, at present, integrated systems for self-selection of a tourist product are poorly developed, which use artificial intelligence technologies for a comparative analysis of TP, taking into account their own experience and the experience of other tourists. The problem of developing a unified digital tourism ecosystem of the region with the fullest possible access to other systems and databases is being updated. This determines the need to develop appropriate methods and approaches and use the latest information technologies. The purpose of this article is to develop a methodology for representing and clustering digital twins (avatars) of tourist profiles with fuzzy statements of tourist preferences. Materials and methods. The methodological basis of the study was general scientific and special methods of system analysis, modeling, clustering, methods for synthesizing graph routes, multicriteria optimization and decision making, and the benchmarking method. Results. The authors have developed and presented an original methodology for clustering the preferences of tourist profiles and tourist products, a multi-criteria method for synthesizing tourist routes, as well as a method for comparative analysis (benchmarking) of tourist products. Conclusions. The article provides a justification for the need to integrate various approaches and methods to develop a single digital tourism ecosystem in the region for the integrated management of the life cycle of a tourism product.digital tourism ecosystemtourism producttourist routedistributed ledgerclustering |
| spellingShingle | L.A. Gamidullaeva A.G. Finogeev METHODS FOR MANAGING THE LIFE CYCLE OF A TOURIST PRODUCT IN A REGION Модели, системы, сети в экономике, технике, природе и обществе digital tourism ecosystem tourism product tourist route distributed ledger clustering |
| title | METHODS FOR MANAGING THE LIFE CYCLE OF A TOURIST PRODUCT IN A REGION |
| title_full | METHODS FOR MANAGING THE LIFE CYCLE OF A TOURIST PRODUCT IN A REGION |
| title_fullStr | METHODS FOR MANAGING THE LIFE CYCLE OF A TOURIST PRODUCT IN A REGION |
| title_full_unstemmed | METHODS FOR MANAGING THE LIFE CYCLE OF A TOURIST PRODUCT IN A REGION |
| title_short | METHODS FOR MANAGING THE LIFE CYCLE OF A TOURIST PRODUCT IN A REGION |
| title_sort | methods for managing the life cycle of a tourist product in a region |
| topic | digital tourism ecosystem tourism product tourist route distributed ledger clustering |
| work_keys_str_mv | AT lagamidullaeva methodsformanagingthelifecycleofatouristproductinaregion AT agfinogeev methodsformanagingthelifecycleofatouristproductinaregion |