Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/117109
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Hotel and Tourism Management | - |
| dc.creator | Chen, J | - |
| dc.creator | Wu, J | - |
| dc.creator | Wang, D | - |
| dc.creator | Stantic, B | - |
| dc.date.accessioned | 2026-02-03T03:50:33Z | - |
| dc.date.available | 2026-02-03T03:50:33Z | - |
| dc.identifier.issn | 0261-5177 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/117109 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.rights | © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). | en_US |
| dc.rights | The following publication Chen, J., Wu, J., Wang, D., & Stantic, B. (2025). Beyond static rankings: A tourist experience-driven approach to measure destination competitiveness. Tourism Management, 106, 105022 is available at https://doi.org/10.1016/j.tourman.2024.105022. | en_US |
| dc.subject | Big data analytics | en_US |
| dc.subject | Destination competitiveness | en_US |
| dc.subject | Destination management | en_US |
| dc.subject | Dynamic McKinsey matrix | en_US |
| dc.subject | Sentiment analysis | en_US |
| dc.subject | Social media | en_US |
| dc.title | Beyond static rankings : a tourist experience-driven approach to measure destination competitiveness | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 106 | - |
| dc.identifier.doi | 10.1016/j.tourman.2024.105022 | - |
| dcterms.abstract | In the dynamic field of destination management, maintaining a destination's competitiveness requires understanding the evolving preferences of tourists. However, current research often adopts a static approach, failing to capture the dynamic nature of tourist needs and the evolving competitiveness of a destination. To address this, we introduce a novel approach using user-generated content from various social media platforms over a six-year period to assess key attributes that influence destination competitiveness. The results indicate that attributes in deciding destination competitiveness are not fixed, with some remaining stable factors in competitiveness, while others fluctuate over time. Attributes that even alter their competitive standing could significantly impact overall destination competitiveness. This research contributes a dynamic model that allows destination managers to adapt strategies in real time, aligning with current market conditions and enhancing competitiveness in the tourism industry. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Tourism management, Feb. 2025, v. 106, 105022 | - |
| dcterms.isPartOf | Tourism management | - |
| dcterms.issued | 2025-02 | - |
| dc.identifier.scopus | 2-s2.0-85200649063 | - |
| dc.identifier.eissn | 1879-3193 | - |
| dc.identifier.artn | 105022 | - |
| dc.description.validate | 202602 bcjz | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingText | This research was supported by the Hong Kong Polytechnic University Research Grant Council (Project ID: P0040524). We appreciate the support and funding that Hong Kong Polytechnic University has provided, which allows us to conduct the work. | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0261517724001419-main.pdf | 4.59 MB | Adobe PDF | View/Open |
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