Tourism destination competitiveness in new era: Indicator framework, evaluation methods and comprehensive improvement strategies
博士 === 國立臺北大學 === 都市計劃研究所 === 107 === The tourism industry is the driving force of local economic development, and the tourism destination (TD) is where tourist attractions are located. In a dynamic tourism market, a well-developed transportation system can greatly shortened the distance of physical...
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ndltd-TW-107NTPU03470272019-09-10T03:32:38Z http://ndltd.ncl.edu.tw/handle/cx5p74 Tourism destination competitiveness in new era: Indicator framework, evaluation methods and comprehensive improvement strategies 新世代旅遊目的地競爭力指數:指標框架、評價方法和綜合改善策略 HUANG, SHAN-LIN 黃三麟 博士 國立臺北大學 都市計劃研究所 107 The tourism industry is the driving force of local economic development, and the tourism destination (TD) is where tourist attractions are located. In a dynamic tourism market, a well-developed transportation system can greatly shortened the distance of physical space. The competition and cooperation relationship of tourism destinations has drawn more and more attention. Innovations in digital technologies such as mobile and smart devices have changed consumer behavior, and have led to changes in tourist behavior. The concept of “Smart Tourism (ST)” was put forward; it t emphasizes timely, fast, sharing, open and collaborative. How tourism destinations respond to smart tourism is the key to future destination competitiveness. In the past, the discussion on the competitiveness model of tourism destinations can be divided into two scales. The first is the regional scale, such as Crouch and Ritchie model and Dwyer model that measure the tourism destination competitiveness (TDC). The second is the country scale, and the Travel and Tourism Competitiveness Index (TTCI) proposed by the World Economic Forum is the most representative model. In theory, the country's tourism destination competitiveness must be based on the fact that each region has a certain degree of tourism competitiveness. Therefore, the link between the two scales of the indicator system is necessary. However, there are scanty studies on this topic. As the concept of “Smart Tourism Destination (STD)” receives more attention in recent years, scholars have proposed a conceptual model of the competitiveness of smart tourism destination. Although the conceptual model can provide some guidance for the development of tourism destinations, the resources of each destination management organization (DMO) will face a certain degree of restriction. For DMO, it is necessary to understand the problem more accurately and propose corresponding improvements. This study aims to update the original tourism destination competitiveness according to current conditions, called the “New Era Tourism Destination Competitiveness Model (New-TDC model)”. This model addresses the changes that technology and tourist habits bring to tourism destination competitiveness. The competitiveness of the region can be enhanced to create a tourism competitive advantage for the country. The model consists of three parts: 1) establishing an indicator framework; 2) using appropriate techniques to establish an assessment method of the indicator, namely the DANP-mV Type Ⅱ model; 3) finding the problem points and giving the corresponding improvement suggestions. Finally, taking Taining County in China as an example, the operation of the indicator system is explained, and comprehensive improvement suggestions are put forward based on the source of the problem. TZENG, GWO-HSHIUNG 曾國雄 2019 學位論文 ; thesis 63 en_US |
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博士 === 國立臺北大學 === 都市計劃研究所 === 107 === The tourism industry is the driving force of local economic development, and the tourism destination (TD) is where tourist attractions are located. In a dynamic tourism market, a well-developed transportation system can greatly shortened the distance of physical space. The competition and cooperation relationship of tourism destinations has drawn more and more attention. Innovations in digital technologies such as mobile and smart devices have changed consumer behavior, and have led to changes in tourist behavior. The concept of “Smart Tourism (ST)” was put forward; it t emphasizes timely, fast, sharing, open and collaborative. How tourism destinations respond to smart tourism is the key to future destination competitiveness.
In the past, the discussion on the competitiveness model of tourism destinations can be divided into two scales. The first is the regional scale, such as Crouch and Ritchie model and Dwyer model that measure the tourism destination competitiveness (TDC). The second is the country scale, and the Travel and Tourism Competitiveness Index (TTCI) proposed by the World Economic Forum is the most representative model. In theory, the country's tourism destination competitiveness must be based on the fact that each region has a certain degree of tourism competitiveness. Therefore, the link between the two scales of the indicator system is necessary. However, there are scanty studies on this topic. As the concept of “Smart Tourism Destination (STD)” receives more attention in recent years, scholars have proposed a conceptual model of the competitiveness of smart tourism destination. Although the conceptual model can provide some guidance for the development of tourism destinations, the resources of each destination management organization (DMO) will face a certain degree of restriction. For DMO, it is necessary to understand the problem more accurately and propose corresponding improvements.
This study aims to update the original tourism destination competitiveness according to current conditions, called the “New Era Tourism Destination Competitiveness Model (New-TDC model)”. This model addresses the changes that technology and tourist habits bring to tourism destination competitiveness. The competitiveness of the region can be enhanced to create a tourism competitive advantage for the country. The model consists of three parts: 1) establishing an indicator framework; 2) using appropriate techniques to establish an assessment method of the indicator, namely the DANP-mV Type Ⅱ model; 3) finding the problem points and giving the corresponding improvement suggestions. Finally, taking Taining County in China as an example, the operation of the indicator system is explained, and comprehensive improvement suggestions are put forward based on the source of the problem.
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author2 |
TZENG, GWO-HSHIUNG |
author_facet |
TZENG, GWO-HSHIUNG HUANG, SHAN-LIN 黃三麟 |
author |
HUANG, SHAN-LIN 黃三麟 |
spellingShingle |
HUANG, SHAN-LIN 黃三麟 Tourism destination competitiveness in new era: Indicator framework, evaluation methods and comprehensive improvement strategies |
author_sort |
HUANG, SHAN-LIN |
title |
Tourism destination competitiveness in new era: Indicator framework, evaluation methods and comprehensive improvement strategies |
title_short |
Tourism destination competitiveness in new era: Indicator framework, evaluation methods and comprehensive improvement strategies |
title_full |
Tourism destination competitiveness in new era: Indicator framework, evaluation methods and comprehensive improvement strategies |
title_fullStr |
Tourism destination competitiveness in new era: Indicator framework, evaluation methods and comprehensive improvement strategies |
title_full_unstemmed |
Tourism destination competitiveness in new era: Indicator framework, evaluation methods and comprehensive improvement strategies |
title_sort |
tourism destination competitiveness in new era: indicator framework, evaluation methods and comprehensive improvement strategies |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/cx5p74 |
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