Fuzzy Techniques Applied to the Analysis of the Causes and Effects of Tourism Competitiveness
The aim of this research is to identify and analyze the causes and effects of tourism competitiveness, as well as cause–effect relationships from the perspective of two groups of experts, which are decision makers versus academics/researchers, both from the tourism sector. The purpose is to respond...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/9/7/777 |
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| author | Martha B. Flores-Romero Miriam E. Pérez-Romero José Álvarez-García María de la Cruz del Río-Rama |
| author_facet | Martha B. Flores-Romero Miriam E. Pérez-Romero José Álvarez-García María de la Cruz del Río-Rama |
| author_sort | Martha B. Flores-Romero |
| collection | DOAJ |
| description | The aim of this research is to identify and analyze the causes and effects of tourism competitiveness, as well as cause–effect relationships from the perspective of two groups of experts, which are decision makers versus academics/researchers, both from the tourism sector. The purpose is to respond to the question: do decision makers in the tourism sector share the same perspective as academics/researchers regarding the relationship between the causes and effects of tourism competitiveness? The methodology used is the theory of expertons, the theory of forgotten effects and the Hamming distance. It was found that in most cases, the groups of experts share perspective, since their differences are small or non-existent. However, in all the relationships analyzed (cause–effect, cause–cause, and effect–effect), academic experts reported the highest assessment. The greatest difference in opinion is identified in the evaluation of the “Environmental Commitment” and “Tourist Demand” relationship. Decision makers in the tourism sector are ignoring the growing inclination and sensitivity that tourists are adopting towards the environment. It is necessary for the tourism sector to develop and consolidate its commitment to caring for and preserving the environment, which is an element that contributes to a destination’s competitiveness and has two main effects: tourism demand and customer satisfaction. |
| first_indexed | 2024-03-10T12:39:46Z |
| format | Article |
| id | doaj.art-901e2bc1906941d09b5e6a4e5165623d |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T12:39:46Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-901e2bc1906941d09b5e6a4e5165623d2023-11-21T14:00:45ZengMDPI AGMathematics2227-73902021-04-019777710.3390/math9070777Fuzzy Techniques Applied to the Analysis of the Causes and Effects of Tourism CompetitivenessMartha B. Flores-Romero0Miriam E. Pérez-Romero1José Álvarez-García2María de la Cruz del Río-Rama3Faculty of Accounting and Management, Saint Nicholas and Hidalgo Michoacán State University (UMSNH), Morelia 58030, MexicoFaculty of Accounting and Management, Saint Nicholas and Hidalgo Michoacán State University (UMSNH), Morelia 58030, MexicoFinancial Economy and Accounting Department, Faculty of Business, Finance and Tourism, University of Extremadura, 10071 Cáceres, SpainBusiness Management and Marketing Department, Faculty of Business Sciences and Tourism, University of Vigo, 32004 Ourense, SpainThe aim of this research is to identify and analyze the causes and effects of tourism competitiveness, as well as cause–effect relationships from the perspective of two groups of experts, which are decision makers versus academics/researchers, both from the tourism sector. The purpose is to respond to the question: do decision makers in the tourism sector share the same perspective as academics/researchers regarding the relationship between the causes and effects of tourism competitiveness? The methodology used is the theory of expertons, the theory of forgotten effects and the Hamming distance. It was found that in most cases, the groups of experts share perspective, since their differences are small or non-existent. However, in all the relationships analyzed (cause–effect, cause–cause, and effect–effect), academic experts reported the highest assessment. The greatest difference in opinion is identified in the evaluation of the “Environmental Commitment” and “Tourist Demand” relationship. Decision makers in the tourism sector are ignoring the growing inclination and sensitivity that tourists are adopting towards the environment. It is necessary for the tourism sector to develop and consolidate its commitment to caring for and preserving the environment, which is an element that contributes to a destination’s competitiveness and has two main effects: tourism demand and customer satisfaction.https://www.mdpi.com/2227-7390/9/7/777tourist destination competitivenessexperton theoryforgotten effects theoryHamming distancedecision making |
| spellingShingle | Martha B. Flores-Romero Miriam E. Pérez-Romero José Álvarez-García María de la Cruz del Río-Rama Fuzzy Techniques Applied to the Analysis of the Causes and Effects of Tourism Competitiveness Mathematics tourist destination competitiveness experton theory forgotten effects theory Hamming distance decision making |
| title | Fuzzy Techniques Applied to the Analysis of the Causes and Effects of Tourism Competitiveness |
| title_full | Fuzzy Techniques Applied to the Analysis of the Causes and Effects of Tourism Competitiveness |
| title_fullStr | Fuzzy Techniques Applied to the Analysis of the Causes and Effects of Tourism Competitiveness |
| title_full_unstemmed | Fuzzy Techniques Applied to the Analysis of the Causes and Effects of Tourism Competitiveness |
| title_short | Fuzzy Techniques Applied to the Analysis of the Causes and Effects of Tourism Competitiveness |
| title_sort | fuzzy techniques applied to the analysis of the causes and effects of tourism competitiveness |
| topic | tourist destination competitiveness experton theory forgotten effects theory Hamming distance decision making |
| url | https://www.mdpi.com/2227-7390/9/7/777 |
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