Koo Chulmo
Kyung Hee University · 社会科学
研究室紹介
Professor Koo Chulmo's research lab focuses on the intersection of tourism, emerging technologies, and digital transformation, with a strong emphasis on smart tourism, the metaverse, and social media-driven travel behaviors. The lab explores how advanced technologies such as ICT, AI, and immersive platforms reshape tourist experiences, destination management, and business models in the tourism industry. Key research directions include the development of smart tourism city frameworks, the psychological and behavioral aspects of online travel reviews, and the evolving identity and expectations of digital-age travelers. The lab also investigates the theoretical and practical implications of integrating tourism with smart city ecosystems and the creative economy of virtual tourism.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Abstract Smart tourism is a new buzzword applied to describe the increasing reliance of tourism destinations, their industries and their tourists on emerging forms of ICT that allow for massive amounts of data to be transformed into value propositions. However, it remains ill-defined as a concept, which hinders its theoretical development. The paper defines smart tourism, sheds light on current smart tourism trends, and then lays out its technological and business foundations. This is followed b
Although research on the category of metaverse attributes has expanded, the notion of metaverse tourism has yet to be identified in the tourism context. This research note suggests four propositions of metaverse tourism. First, the core technologies of metaverse tourism will lead to a new level of immersive experiences. Second, metaverse tourists can develop more realistic expectations in the pre-trip stage. Third, researchers should consider metaverse tourist’s multi-identification profiles. La
Travel patterns have gradually changed from group travel to individual travel. An increasing number of people acquire travel information through various types of media. One of the alternative information sources is social media, which enables users to exchange information among members. However, one of the characteristics of social media is information sharing, not information search, which involves both giving (i.e. posting) and taking (i.e. selective reading, forwarding, replying, linking, and
The purpose of this study is to develop a research model demonstrating tourists’ value-seeking processes through the tourism services and travel experiences of a destination. The model suggests that tourist happiness is assessed by tourists’ perceived experiences, which are formed by two motivational values: smart tourism technology (STT) and destination value. Despite a large quantity of research attention on destination tourism, the relation between tourists’ destination experience and STT has
Smart tourism emerges from the application of advanced technologies in the context of destinations, most often cities. It borrows extensively from smart city development ideas but its conceptualization as well as realization have been kept separate from broader smart city initiatives. This paper argues that such a separation makes little sense in a world where the everyday and the touristic increasingly overlap and smart technologies blur the lines between residential areas and tourism precincts
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
The online travel review has become one of the most influential information sources for travelers’ decision making. This research primarily aims to examine the relationship between review textual content concreteness and review helpfulness in the tourism context. In particular, we examine how this relationship plays out under two individual circumstances, namely, temporal distance and risk–benefit tendency. Based on the construal level theory and feeling-as-information theory, two experiments ar