Internationalization Strategy of Tourism Industry and Selective Double Structure of Cooperation in the Kim Jong-un Regime

Kang, Chae-Yeon

doi:10.21807/jnas.2020.06.95.101

Cited by 3 publications

(2 citation statements)

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“…Based on the concept that network relationship is an organizational resource, cooperative network can be regarded as a process in which several organizations strive to achieve the same goal while controlling their own resources [19]. Therefore, to achieve long-term strategic goals, tourism destinations should not rely on their own efforts, but should actively seek to share information and resources with other organizations in the network, so as to establish a good interaction mechanism [20,21].…”

Section: Introductionmentioning

confidence: 99%

A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective

Wang

Hang

et al. 2022

PLoS ONE

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This study explores the spatial structure of regional tourism cooperation networks among 27 cities in the Yangtze River Delta from the perspective of supply and demand. Data from the supply network were collected from official news released by the Chinese government and quotations for tour routes published by travel agencies. Travel notes published on tourists’ blog community platforms about their travel experiences were used as source data for the demand network. The degree of cooperation between the cities was analyzed based on the frequency of occurrence and co-occurrence of information on tourist attractions or cities in the Yangtze River Delta region in tourist notes, tourist route quotes, and official news. This study divides 27 cities in the Yangtze River Delta region into three categories: those where supply matches demand (e.g., Shanghai and Nanjing), nine cities where there is a demand lag (e.g., Zhenjiang), and 16 cities where there is a supply lag (e.g., Wuxi). Investigating the differences between the supply and demand networks is helpful to understand the effectiveness of regional tourism cooperation mechanisms and government policies, which is crucial for the sustainability and good governance of regional tourism.

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Section: Introductionmentioning

confidence: 99%

A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective

Wang

Hang

et al. 2022

PLoS ONE

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“…In addition, the "top-down" cooperation structure of tourist attractions at the government level may lack flexibility, which could lead to unfair competition among tourist attractions and negative phenomena such as local protectionism. Although cooperation between tourist attractions is very important [33][34][35][36][37][38][39][40][41][42], few studies have examined how collaborations can be formed to meet tourists' needs, which are reflected in tourists' spatial behavior (tourist flows). For example, some scholars have made a comparative analysis of the different forms of cooperation and the differences between tourist attractions of level 3A and above in Shanghai (as shown in travel notes and official news) and found that tourists' perceptions of cooperation in scenic spots did not match the perspective of government policies, which may lead to government policies' failure to achieve the expected effect.…”

Section: Introductionmentioning

confidence: 99%

Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow

Wang

Hang

2021

Sustainability

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This study aimed to examine the spatial structure of the tourist attraction cooperation network in the Yangtze River Delta, from the perspective of tourist flow. This study conducted spatial and social network analyses of 470 popular tourist attractions in the Yangtze River Delta region of China, accounting for the occurrence and co-occurrence of tourist attraction information in tourist travel notes. The analyzed tourist attractions show an obvious spatial agglomeration effect, including four high-density agglomeration areas and two medium-density agglomeration areas. Degree centrality, closeness centrality, and betweenness centrality were used to examine the tourism function, distribution function, and connection function of nodes in the network; nodes were divided into various types of roles according to their function. There are eight condensed subgroups, but their scales are unbalanced. In these condensed subgroups, several tourist attractions with an intermediate function can be selected as transit and stopover points on tourist routes. This study can contribute to the understanding of tourists’ spatial behavior, clarify the role and status of nodes in the cooperation network of tourist attractions based on tourism flow, and help them to formulate measures for the joint marketing of tourist attractions, and promote the development of tourism in the Yangtze River Delta region.

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The Analysis of the Industrial Structures of Pyongyang

An¹,

Lee²,

Kim³

et al. 2022

jkpa

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Internationalization Strategy of Tourism Industry and Selective Double Structure of Cooperation in the Kim Jong-un Regime

Cited by 3 publications

References 0 publications

A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective

A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective

Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow

The Analysis of the Industrial Structures of Pyongyang

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