Analysis of Trends in Research on Emotional Labor in Hotel and Resort Sectors in Korea using Semantic Network Analysis

Jangheon Han () and Hyejin Jung ()

International Journal of Innovative Research and Scientific Studies, 2022, vol. 5, issue 3, 155-161

Abstract: This study analyzed emotional labor in the hotel and resort industry through semantic network analysis and convergence of iteration correlation (CONCOR) analysis. The scope of the study was limited to academic papers on the hotel and resort industry published by the Korea Citation Index (KCI) between 2006 and 2022. This included papers from the journals Tourism & Leisure Research (26), Korean Journal of Hospitality & Tourism (23), Korean Journal of Tourism Research (19), International Journal of Tourism & Hospitality Research (18), Tourism Research (14), and other journals (74). Having identified the major research trends, visualization was carried out to confirm the topics closely related to emotional labor, which identified the subjects of emotional labor, “employees,” job factors such as “job stress,” and negative psychological variables such as “emotional exhaustion” with high frequency and centrality. The CONCOR analysis revealed four main clusters: “job impact factors,” “service impact factors,” “supervisor impact factors,” and “psychological impact factors.” The results offer suggestions for future research directions on emotional labor in hotels and resorts, as well as implications for academic and practical applications.

Keywords: Emotional labor; Hotel & resort; Research trends; Semantic network analysis; CONCOR analysis; Text-mining. (search for similar items in EconPapers)
Date: 2022
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