Browsing by Author "Yoon, Junho"

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    The Sustainable Rhythm of Destination Popularity: A Song of Local Well-Being and Lasting Charm
    Kim, Hyoeun; Yoon, Junho; Nicolau, Juan Luis (Sage, 2024-01-03)
    Destination popularity has long-term effects on the local community’s quality of life and the destination’s attractiveness. This study examines the impact of environmental, economic, and social factors on destination popularity, while introducing a new sustainable tourism index as a novel approach to measuring sustainability in destinations. The study acknowledges that, although popular destinations generate high revenue, excessive popularity can have negative consequences for long-term destination appeal. Unlike the traditional country-level and qualitative approach, the proposed index relies on open-source data, allowing for frequent updates at the local level. By analyzing 2,164 U.S. counties, the study reveals a positive relationship between economic, environmental, and social factors and destination popularity, with variation in the magnitude of these effects. The study also presents examples of potential applications for the proposed index, offering valuable insights into the complex dynamics of destination popularity, and providing a practical tool for assessing sustainable tourism.
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    Unveiling technological innovation in hospitality and tourism through patent data: Development perspective and competition landscaping
    Kim, Hyoeun; Yoon, Junho; Nicolau, Juan Luis (Elsevier, 2023-05-01)
    This study fills a gap in the literature by focusing on hospitality and tourism technology development (supply-side perspective) rather than technological adoption (demand-side perspective). Drawing on US patent data, we focus on three main technology areas: travel agencies, hotels and restaurants, and online reservations. With a dataset of 88,344 patents granted to 13,696 assignees since 1966, we study hospitality and tourism-related technologies under the three fields. Using the machine learning-based text analytics, we analyze the classes of patents invented in each sector. We also map technological competition landscapes in the three domains in terms of innovation quality (PageRank centrality) and quantity (patent volume) and discover leading/following firms.