The COVID-19 pandemic has changed traditional consumer consumption behavior and requires a new service strategy to cope with sustainable consumption. Moreover, it is necessary to focus academic attention on consumer behavior to cook and eat more easily amid Korea’s socioeconomic changes such as the increase in single-person households, aging, rising prices, and continuing economic recession. In this study, we used a revised importance–performance analysis (IPA) to identify specific measures to improve consumer satisfaction with home meal replacements (HMRs). An online survey of Korean adults who had purchased HMRs was conducted based on a convenience sampling method. According to the results, items that could be intensively improved were the ‘introduction of new dishes’, ‘creation of various flavors’, ‘cost-effectiveness, and ‘reasonable price’, whereas ‘easy to prepare’, ‘easily available’, and ‘identified country of origin’ received favorable assessments. With the growth of the non-face-to-face economy due to COVID-19, our findings suggest marketing strategies for sustainable HMR consumption.
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.
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