An analysis of the utilization of Facebook by local Korean governments for tourism development and the network of smart tourism ecosystem

Park, Ji Hoon; Lee, Cheolhan; Yoo, Changsok; Nam, Yoonjae

doi:10.1016/j.ijinfomgt.2016.05.027

Cited by 91 publications

(67 citation statements)

References 24 publications

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“…First, research into government policy on smart tourism is scant and thereby providing areas for future research. Scholars have studied the knowledge transfer network [28,29], government's effort in using social media [30], and tourism's role in a regional smart specialization strategy [31]. However, under global competition and cooperation networks, which strategies governments should adopt to promote smart tourism development remain unclear.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Systematic Review of Smart Tourism Research

Law

2020

Sustainability

108

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In recent decades, smart tourism has been attracting attention from practitioners and scholars. The current study used multiple analysis methods to conduct a systematic review of 124 related articles on smart tourism. Qualitative analysis was conducted to identify 10 categories of smart tourism articles. Results showed that the largest proportion focus on the influence of technology on tourists’ perceptions, behaviors, and experiences. Co-occurrence analysis was performed to investigate the development trend of keywords used by academics in the last five years, while co-authorship (country) analysis was conducted to examine the collaborative relationship between different countries. The research regions, industries, methods, and theories applied in these articles were also analyzed. Theoretical and practical/managerial implications, as well as future research directions, were provided.

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Section: Theoretical Implicationsmentioning

confidence: 99%

Systematic Review of Smart Tourism Research

Law

2020

Sustainability

108

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“…Along with the approaches mentioned, there are also some studies explaining smart tourism by limiting it to Internet, social media, and smart phone applications (Wang et al, 2016;Brandt, Bendler, & Neumann, 2017;Park, Lee, Yoo, & Nam, 2016;Chung, Tyan, & Han, 2016;Kladou & Mavragani, 2015;Huang, Goo, Nam, & Yoo, 2017; H. C. Kim & Y. S. Kim, 2016;Tussyadiah & Zach, 2012;Noone, McGuire, & Rohlfs, 2011). Another noteworthy aspect of the studies is necessity to make smart tourism technologies portable.…”

Section: Smart Tourismmentioning

confidence: 99%

An Evaluation on Smart Tourism

Yalçınkaya¹,

Atay²,

Korkmaz³

2018

CUBR

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Tourism is a sector directly and indirectly linked to technological developments for the cause of increasing customer satisfaction, providing competitive advantage, and protecting the environment. It seems that technology has been used in tourism industry to adopt innovations in information and communication technologies. In this direction, smart tourism concept has emerged in recent years as a new approach based on technology and environment. Although there are various definitions in the literature, it is seen that a common definition of the smart tourism concept does not exist yet. The purpose of this research, which is a literature review, is to contribute to the creation of a common definition in the literature by examining different definitions in the literature. In this context, the literature on the concept of smart tourism has been searched and the common aspects mentioned. Information and communication technologies and smart destination concepts are seen as the foreground in the descriptions and explanations made for smart tourism. It can be observed that mobile applications, smartphones, social media, and the Internet are highlighted when environmentalism is ignored in smart tourism definitions, which are evaluated within the scope of information and communication technologies. According to the definition made by the World Tourism Organization, environmental awareness must be included in the definition of smart tourism.

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“…Thus, more central destinations can boost their centrality due to the inherent circularity involved in the calculation of the eigenvector centrality measure. This has the effect of making actors with strong ties to more central actors appear to be more central [32,33,38,39]. Betweenness centrality refers to the "share" of the shortest paths in a network that pass through a certain node [40].…”

Section: Network Analysismentioning

confidence: 99%

A Social Network Analysis of Tourist Movement Patterns in Blogs: Korean Backpackers in Europe

Chung

Nam

2017

Sustainability

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Given recent developments in information and communication technology, the number of individual tourists enjoying free travel without the advice of travel agencies is increasing. Therefore, such tourists can visit more tourist destinations and create more complex movement patterns than mass tourists. These tourist movement patterns are a key factor in understanding tourist behavior and they contain various information that is important for tourism marketers. In this vein, this study aims to investigate tourist movement patterns in Europe. We acquired 122 data points from posts on the NAVER blog, which is the most famous social media platform in Korea. These data were transformed into matrix data for social network analysis and analyzed for centrality. The results suggest that Korean backpackers in Europe tend to enter Europe through London and Paris. Venezia and Firenze are also key cities.

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An analysis of the utilization of Facebook by local Korean governments for tourism development and the network of smart tourism ecosystem

Cited by 91 publications

References 24 publications

Systematic Review of Smart Tourism Research

Systematic Review of Smart Tourism Research

An Evaluation on Smart Tourism

A Social Network Analysis of Tourist Movement Patterns in Blogs: Korean Backpackers in Europe

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