Optimization model: the innovation and future of e-ecotourism for sustainability
Purpose – This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through...
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| Format: | Article |
| Language: | English |
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Emerald Publishing
2025-04-01
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| Series: | Journal of Tourism Futures |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JTF-03-2021-0067/full/pdf |
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| _version_ | 1850197390630322176 |
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| author | Fauziah Eddyono Dudung Darusman Ujang Sumarwan Tutut Sunarminto |
| author_facet | Fauziah Eddyono Dudung Darusman Ujang Sumarwan Tutut Sunarminto |
| author_sort | Fauziah Eddyono |
| collection | DOAJ |
| description | Purpose – This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology. Design/methodology/approach – Data analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness. Findings – This study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance. Research limitations/implications – This study does not use a primary database, but uses secondary data from official sources that can be accessed by the public. Practical implications – The paper includes implications for the development of intelligent technology based on big data and also requires policy innovation. Social implications – Sustainable tourism development. Originality/value – This study finds the expansion of new theory competitiveness of ecotourism destinations. |
| format | Article |
| id | doaj-art-3f4860b384cb4ce6b4dccb2f7e5dc204 |
| institution | OA Journals |
| issn | 2055-5911 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Journal of Tourism Futures |
| spelling | doaj-art-3f4860b384cb4ce6b4dccb2f7e5dc2042025-08-20T02:13:11ZengEmerald PublishingJournal of Tourism Futures2055-59112025-04-011119611310.1108/JTF-03-2021-0067Optimization model: the innovation and future of e-ecotourism for sustainabilityFauziah Eddyono0Dudung Darusman1Ujang Sumarwan2Tutut Sunarminto3Doctoral Study Program of Ecotourism Management and Environmental Services, IPB University, Bogor, IndonesiaDepartment of Forestry Management, IPB University, Bogor, IndonesiaDepartment of Family and Consumer Science, IPB University, Bogor, IndonesiaDepartment of Forest Resources Conservation and Ecotourism, IPB University, Bogor, IndonesiaPurpose – This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology. Design/methodology/approach – Data analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness. Findings – This study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance. Research limitations/implications – This study does not use a primary database, but uses secondary data from official sources that can be accessed by the public. Practical implications – The paper includes implications for the development of intelligent technology based on big data and also requires policy innovation. Social implications – Sustainable tourism development. Originality/value – This study finds the expansion of new theory competitiveness of ecotourism destinations.https://www.emerald.com/insight/content/doi/10.1108/JTF-03-2021-0067/full/pdfDynamic modelDestination competitivenessEcotourism element |
| spellingShingle | Fauziah Eddyono Dudung Darusman Ujang Sumarwan Tutut Sunarminto Optimization model: the innovation and future of e-ecotourism for sustainability Journal of Tourism Futures Dynamic model Destination competitiveness Ecotourism element |
| title | Optimization model: the innovation and future of e-ecotourism for sustainability |
| title_full | Optimization model: the innovation and future of e-ecotourism for sustainability |
| title_fullStr | Optimization model: the innovation and future of e-ecotourism for sustainability |
| title_full_unstemmed | Optimization model: the innovation and future of e-ecotourism for sustainability |
| title_short | Optimization model: the innovation and future of e-ecotourism for sustainability |
| title_sort | optimization model the innovation and future of e ecotourism for sustainability |
| topic | Dynamic model Destination competitiveness Ecotourism element |
| url | https://www.emerald.com/insight/content/doi/10.1108/JTF-03-2021-0067/full/pdf |
| work_keys_str_mv | AT fauziaheddyono optimizationmodeltheinnovationandfutureofeecotourismforsustainability AT dudungdarusman optimizationmodeltheinnovationandfutureofeecotourismforsustainability AT ujangsumarwan optimizationmodeltheinnovationandfutureofeecotourismforsustainability AT tututsunarminto optimizationmodeltheinnovationandfutureofeecotourismforsustainability |