Currently, the internet of things (IoT) is being widely deployed in home automation systems. An analysis of bibliometrics is presented in this work that covers articles that were obtained from the Web of Science (WoS) databases and published between 1 January 2018, and 31 December 2022. With VOSviewer software, 3880 relevant research papers were analyzed for the study. Through VOSviewer, we analyzed how many articles were published about the home IoT in several databases and their relation to the topic area. In particular, it was pointed out that the chronological order of the research topics changed, and COVID-19 also attracted the attention of scholars in the IoT field, and it was emphasized in this topic that the impact of the epidemic was described. As a result of the clustering, this study was able to conclude the research statuses. In addition, this study examined and compared maps of yearly themes over 5 years. Taking into account the bibliometric nature of this review, the findings are valuable in terms of mapping processes and providing a reference point.

The increasing adoption of healthcare devices necessitates a deeper understanding of the factors that influence user acceptance in this rapidly evolving area. Therefore, this study examined the factors influencing the technology acceptance of healthcare devices, focusing on radar sensors and wearable devices. A total of 1158 valid responses were used to test hypotheses, mediation, and moderation effects using SmartPLS 4.0. The results highlighted the significant role of performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk in shaping user attitudes and trust, which in turn influence behavioral intention. The findings suggested that attitudes fully mediate the effects of performance expectancy and effort expectancy on behavioral intention, while social influence, facilitating conditions, and perceived risk exhibit partial mediation. Moderation analysis revealed significant effects of generation on the relationship between attitude, trust, and behavioral intention. Additionally, device type moderated the effect of trust on behavioral intention, showing a different influence between radar sensors and wearable devices. These findings provide theoretical contributions by extending the unified theory of acceptance and use of technology (UTAUT) model and offering practical implications for manufacturers and policymakers to tailor strategies that foster positive attitudes, enhance trust, and address generational and device-specific differences in healthcare technology adoption.

Alongside ethical leadership’s effectiveness on team creativity, the superiority of shared leadership has been emphasized in the literature. Based on role theory, social information processing theory, and allocation preferences theory, this study suggests that shared leadership functions as a critical intermediating mechanism to explain the influence of ethical leadership on team-level creativity. Moreover, the dispersion value of leader–member exchange (LMXD) moderates the influence of ethical leadership on shared leadership. To empirically test our hypotheses, this paper used multisource samples and team-level data with moderated mediation model with PLS-SEM method. This study targeted a sample of 30 leaders and 233 team members who work at HRD Korea where a team structure is utilized. The results of structural equation modeling showed that ethical leadership increased shared leadership, and ethical leadership and shared leadership both positively affected team creativity. Shared leadership functioned as a crucial mediating factor in the ethical leadership–team creativity link. Moreover, the team-level LMXD moderated ethical leadership effectiveness on creativity via shared leadership.

Casinos contribute huge sums of tax revenues to local government, and influence the local economy greatly. Customer satisfaction of casino hotels is a key factor that affects overnight customers, when evaluating the casino as a whole. To find out the determinants of customer satisfaction, along with the relationship between the key factors, this study is based on 2897 reviews, focusing on casino hotels in the Busan area, and performs a series analysis. First, text mining techniques are utilized, in order to elucidate which words were mentioned most often in online reviews. Furthermore, the semantic network method as well as factor and regression analysis were conducted. According to the findings, the top 70 ranked keywords are grouped into four clusters: “Entertainment”, “Service”, “Facilities”, and “Atmosphere”. The results of exploratory factor analysis are grouped in five factors: “Location”, “Outdoor Facilities”, ”Indoor Facilities”, “Services”, and “Entertainment”. Within these five factors, “Location” and “Outdoor Facilities” showed significantly positive impact on customer satisfaction, while “Indoor Facilities” and “Entertainment” have a significant negative influence on customer satisfaction. As a result of these findings, theoretical suggestions and practical recommendations have been made, for helping to launch the future marketing strategies of Busan casino hotels.

The hospitality industry is one of the most affected by the pandemic, and because of its human close interaction and labor-intensive characteristics, it has left Human Resource Management (HRM) puzzles with organizations’ stabilization and recovery. This study aimed to summarize current research on hospitality HRM research outcomes and trends during the COVID-19 pandemic. Utilizing the PRISMA technique and NVivo software, 102 research articles were extracted and analyzed to highlight to overall achievement and movement of hospitality HRM research under the shadow of the COVID-19 crisis. Considering the main purpose of this study, which was to show the status and prospects, the findings indicated 309 free nodes and 26 secondary nodes based on grounded theory. 7 key themes clustered from the analysis and include “environmental factors”, “industrial factors”, “HRM practice”, “organization”, “employee”, “external outcomes”, and “methodology”. The results demonstrated the COVID-19 pandemic driven HRM transformation. In addition, it sheds light on how research responds to the shifting navigation of HRM within the hospitality context under the COVID-19 conditions.

In today’s fast-paced business environment, leaders who fail to recognize and respond to the emotions of their employees can result in stagnation or a lack of growth in their organization. In light of this, the current study presents a method for identifying leadership styles based on the perspectives of employees, exploring their perceptions of specific leadership traits. Drawing upon the Multifactor Leadership Questionnaire framework, this study aims to identify the leadership style of Tony Wedding Studio by conducting in-depth interviews with its employees. Through sentiment and cluster analyses of the collected data, the study identifies Idealized Influence Attributes and Laissez-faire as key leadership style traits. Additionally, this study sheds light on how employees react to and feel about their leader’s leadership style, providing valuable insights for organizational development and leadership training. Overall, this study emphasizes the importance of understanding and responding to employee perspectives in effective leadership.