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Browsing by Author "Kim, Hyoeun"

Now showing 1 - 4 of 4
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    Individual Skill Flexibility and Turnover: Empirical Evidence from Hotel Employees
    Kim, Hyoeun (Virginia Tech, 2023-06-27)
    In an effort to reduce exorbitant employee turnover, the hospitality industry has recently offered career development programs to their employees in pursuit of longer retention. Such educational human resource (HR) practices are expected to increase the skill flexibility of individual employees (i.e., individual skill breadth) across a wide range of skill categories, leading to lower turnover through improved job satisfaction. However, the empirical association between employee skill flexibility and turnover at the individual level has remained unexplored in the HR literature. This study fills in this research gap by drawing on the theoretical framework of employee skill flexibility in the field of strategic human resource management (SHRM). Building on a unique data set from over 10,000 LinkedIn profiles among hotel employees in major brands across the United States, we operationalize their skill flexibility and find its association with turnover. For this purpose, we first identify seven hotel employee-specific skill categories using an unsupervised machine-learning method and subsequently quantify skill flexibility at the individual level. Our results show that the association between skill flexibility and turnover is moderated by skill categories. This study contributes to the HR literature as a data-driven implementation of human capital analytics (HCA).
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    The search value model: Detecting abnormal searching behavior
    Nicolau, Juan Luis; Kim, Hyoeun; Liu, Xianwei (Pergamon-Elsevier, 2021-04-20)
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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.