Developing and Validating an Assessment Scale to Measure the Competitiveness of Wellness Destinations

Phuthong, Thadathibesra; Anuntavoranich, Pongpun; Chandrachai, Achara; Piromsopa, Krerk

doi:10.3390/su14074152

Cited by 11 publications

(5 citation statements)

References 80 publications

(201 reference statements)

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“…In line with the previous research (Gaji et al, 2018;Phuthong et al, 2022), this study found a positive and substantial relationship between health services and destination competitiveness. Therefore, H2 is deemed to be supported.…”

Section: Discussionsupporting

confidence: 91%

Identifying Motivators of Ecotourism Destination Competitiveness: The Examination on Soft Infrastructure Constructs and Moderating Impact of Mobile Technology

Chan,

Lo,

Wan Ibrahim

et al. 2023

ENLIGHTENING TOURISM

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The development of ecotourism in Malaysia is crucial in the current digitalized world, as nature enthusiasts seek authentic travel experiences to reconnect with the environment. This study focuses on investigating the link between government tourism policy, health services, safety and security, destination competitiveness, and the moderating effect of mobile technology. The study was conducted on 170 domestic tourists who visited various national parks in Sarawak, Malaysia. The data collected has undergone preliminary analyses using SPSS 26.0 while the proposed study model was evaluated using WarpPLS 8.0, which allowed for path modelling and bootstrapping to obtain the estimates of standard error and p-values. The results indicated a significant direct relationship between health services and destination competitiveness. Mobile technology was found to moderate the relationship between government tourism policy, safety and security, and destination competitiveness. However, due to the COVID-19 pandemic, the study was limited to domestic tourists, and the implications of these findings are discussed.

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Section: Discussionsupporting

confidence: 91%

Identifying Motivators of Ecotourism Destination Competitiveness: The Examination on Soft Infrastructure Constructs and Moderating Impact of Mobile Technology

Chan,

Lo,

Wan Ibrahim

et al. 2023

ENLIGHTENING TOURISM

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“…Longevity is influenced by various factors. Based on the unique natural environment of Yunnan Province and the existing literature on the influencing factors of population longevity, we selected 12 factors for in-depth exploration ( 18 , 35 – 41 ). As shown in Table 1 , they can be divided into natural and human factors ( 42 ).…”

Section: Data Source and Research Methodsmentioning

confidence: 99%

“…Liu et al ( 17 ) also used the expert consultation method and AHP to evaluate the suitability of wellness spaces in Beijing, China. Phuthong et al ( 18 ), with the assistance of QSM, formulated assessment indicators for the development potential of Thailand's WTAs from seven dimensions such as infrastructure and cultural resources. Esfandyari et al ( 19 ) evaluated the impact factors of building wellness bases in the rural areas of northwestern Iran based on QSM, asserting that geographical location, climate, history, etc.…”

Section: Introductionmentioning

confidence: 99%

A longevity level-oriented wellness target area identification method: a case study of Yunnan Province, China

Wang,

Wang

2024

Front. Public Health

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BackgroundAging, as a global demographic issue, is characterized by its rapid growth, which drives an increase in people's healthcare awareness. The emergence of wellness bases caters to this market demand. Therefore, the identification of potential areas suitable for wellness activities and the construction of wellness bases, referred to as Wellness Target Areas (WTAs), becomes a crucial first step. Currently, commonly used identification methods are mostly based on traditional statistical approaches, which are often complex, cumbersome, and subject to potential risks of subjective assumptions, affecting the reliability of WTAs identification results. Longevity level serves as a comprehensive indicator reflecting the natural and socio-economic environment of a region, making it the most indicative of the regional wellness environment status.MethodsThis study proposes using longevity level as the benchmark for WTAs identification to simplify the identification process and reduce the impact of subjective bias on the results. The study focuses on 129 county-level units in Yunnan Province. Firstly, the Geodetector (GD) is utilized to explore the complex interaction between the longevity level and the geographical environment to determine regional wellness factors. Secondly, using ArcGIS and geographical weighted regression (GWR), the study investigates the role of different wellness factors, ultimately classifying and grading the WTAs.ResultsThe longevity level in Yunnan Province exhibits a pattern of multi-point clustering, forming three major longevity regions. Factors that significantly influence longevity level include annual average precipitation, sunshine duration, PM2.5 content, per capita disposable income, density of tourist attractions, and distance from residential areas to hospitals. Based on the degree of longevity and the contribution rate of influencing factors, Yunnan Province's WTAs are classified into three levels and two types (natural and comprehensive).ConclusionOur study aims to establish a connection between longevity level and the selection of wellness bases, exploring regional wellness factors through the relationship between longevity phenomena and geographical environment, identifying potential construction areas for wellness bases (i.e., WTAs), providing new insights for the precise selection of wellness bases, effectively enhancing the scientificity of site selection, promoting population health, and contributing to the global aging process with better health.

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“…Phuthong, Anuntavoranich, Chandrachai & Piromsopa (2022) Competitiveness represents the action of recognizing the (special) tourism development strategies and policies that businesses use in a competitive environment [83] or exceptional situation of calamity/natural disasters, economic and health crisis-COVID-19, to ensure the maximum efficiency of tourist demand. TTCI is thought to be a suitable marketing mechanism for tourism companies, for the promotion, development and evaluation of national tourism [84].…”

Section: Ng Hsu Chao and Chen (2023)mentioning

confidence: 99%

Tourism and Travel Competitiveness Index: From Theoretical Definition to Practical Analysis in Romania

et al. 2023

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The competitiveness of tourist destinations presents, from the perspective of sustainability, certain benefits in terms of local and regional development: the involvement of local authorities (city, local and county councils, population) in the conservation of tourist resources, the involvement of tourism agencies in the promotion of rural areas, the creation of brands for each tourist destination/region and the protection of cultural-historical heritage from degradation. Competitiveness, as a segment of sustainability, integrated in Romanian local communities, is necessary in order to offer tourists an unmistakable experience of the natural and anthropogenic tourism potential of destinations, to raise the population’s awareness, to preserve traditions, customs and habits and to practice tourism based on sustainability, awareness and without any pollution of terrestrial and aquatic ecosystems. This study aims to highlight the image of Romania’s tourism competitiveness, which could support the tourism economy in the long term, by analysing the Global Tourism and Travel Competitiveness Index (TTCI) in Romania, compared to two other neighbouring countries, Bulgaria and Hungary. The Global Competitiveness Index provides an integrative picture of the main sub-indices that interfere in the formation of a country’s competitiveness, with insights on the 12 pillars that intervene in the sustainable development of tourist destinations worldwide.

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Developing and Validating an Assessment Scale to Measure the Competitiveness of Wellness Destinations

Cited by 11 publications

References 80 publications

Identifying Motivators of Ecotourism Destination Competitiveness: The Examination on Soft Infrastructure Constructs and Moderating Impact of Mobile Technology

Identifying Motivators of Ecotourism Destination Competitiveness: The Examination on Soft Infrastructure Constructs and Moderating Impact of Mobile Technology

A longevity level-oriented wellness target area identification method: a case study of Yunnan Province, China

Tourism and Travel Competitiveness Index: From Theoretical Definition to Practical Analysis in Romania

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