Seung-Hun Shin’s research while affiliated with Kyung Hee University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (3)


Online review word count results in graph format
Online travel review word count results in word cloud format (left: Sydney Opera House; right: Great Wall)
Conceptual foundations of a landmark personality scale based on a destination personality scale: Text mining of online reviews
  • Article
  • Publisher preview available

August 2017

·

139 Reads

·

28 Citations

Seung-Hun Shin

·

·

·

Landmarks play an important role in representing tourist destinations because they symbolize a destination’s image and personality. Despite the significance of landmarks to the perception of a destination’s image and personality, a personality scale based on landmarks has not been developed. To this end, the purpose of this study is to propose a conceptual foundation of a landscape personality scale based on a destination personality scale using online travel reviews, which are regarded as more valid sources for understanding actual tourist perceptions than simple answers to survey questionnaires. The results of this study imply that the words that describe specific landmarks may differ from those that portray the entire destination and suggest that the words tourists actually use in real situations to characterize tourism resources can be distinguished from hypothetical words of a destination personality scale. Finally, the theoretical and practical implications of the research and directions for future studies are discussed.

View access options

Exploring the comparative importance of online hotel reviews’ heuristic attributes in review helpfulness: a conjoint analysis approach

July 2017

·

267 Reads

·

131 Citations

Online travel reviews have become increasingly important as a result of the intangible and heterogeneous characteristics of the tourism industry as well as the recent diffusion of social media. This exploratory case study intends to examine the comparative importance of the six heuristic attributes (reviewer location, reviewer level, reviewer helpful vote, review rating, review length, and review photo) with respect to review helpfulness in the online hotel review context. Moreover, the salience of the individual levels within each review attribute and the importance of the attributes in positive and negative review-rating groups are compared. In total, 1,158 reviews of a hotel on TripAdvisor were collected and analyzed through conjoint analyses. This study found that the review rating and reviewer helpful vote attributes are the two most important factors. Finally, three major propositions are suggested based on findings of the study, and several theoretical and managerial implications are discussed.


Analysis of Case Study for Smart Tourism Development: Korea Tourism Organization's Smart Tourism Case

August 2015

·

3,388 Reads

·

4 Citations

The Journal of the Korea Contents Association

For tourism, Information Technology (IT) is the one of the most important factors, therefore, tourism has been open to IT. Through internet, the sources of information became extensive. Smartphone and Social Network Service (SNS) make huge changes in tourism. In line with this, Korea Tourism Organization (KTO) is developing the smart tourism system, composed of internet, smartphone, SNS, as representative of Korea tourism. In this research, KTO`s main channels, internet, smartphone, SNS, of smart tourism system will be analyzed as well as the connectivity between the channels.

Citations (3)


... The information generated online from tourism activity has increased in recent years due to the expansion of social networks and the Internet (Powers, 2021;Yang et al., 2017). Consequently, it has become a vital intangible asset within the tourism industry worldwide, and the primary content generated on these tourism platforms consists of reviews and comments visitors leave about their experiences. ...

Reference:

Tourism Management Through Natural Language Processing and Sentiment Analysis: A Case Study of the Main Natural Areas of Extremadura, Spain
Exploring the comparative importance of online hotel reviews’ heuristic attributes in review helpfulness: a conjoint analysis approach
  • Citing Article
  • July 2017

... Nowacki (2019) identified characteristic elements of Polish cities. Wilk et al. (2021) examined online destination brand advocacy. Another area of interest can be brand identity (Ranfagni et al. 2022;Taecharungroj, 2019) or brand personality (Shin et al. 2017). ...

Conceptual foundations of a landmark personality scale based on a destination personality scale: Text mining of online reviews

... In its idea, Smart Tourism aims to develop information and communication infrastructures and capabilities to improve management/administration, facilitate service/product innovation, enhance the tourism experience, and ultimately increase the competitiveness of tourism businesses and destinations [25][26][27]. According to Gretzel [28], Smart Tourism can be divided into the following "key components": (a) effective use of advanced technology, (b) mobility/accessibility, (c) sustainability, and (d) knowledge development/innovation. ...

Analysis of Case Study for Smart Tourism Development: Korea Tourism Organization's Smart Tourism Case

The Journal of the Korea Contents Association