The use of digital health and wrist-worn wearable technologies have been increasingly utilized, especially during COVID-19 surge, to help monitor patients and vulnerable groups such as elderly people. As one of the countries with highest aging population, South Korean older adults are expected to be familiarized with these healthcare technologies. However, there have been a few studies on the investigation of Korean older adults’ attitude towards the acceptance of wearable technologies, such as a smart health watch after the COVID-19 curve flattened in South Korea. Thus, the purpose of this study is to investigate the acceptability of digital health wearable technology in healthcare by the Korean older adults and their attitude towards the use of smart health watches by using an extended Technology Acceptance Model while considering the context of the COVID-19 pandemic. We performed a cross-sectional survey of Korean adults aged 56 years and older who are living in Busan, and a total of 170 respondents were received. Results reveal that perceived usefulness, perceived ease of use, and facilitating conditions have a significant impact on older Korean’s attitudes towards the use of a smart health watch, while the relationship between social influence and attitude towards its use was found to not be statistically significant. The attitude towards the use of smart health watches had an effect on their intention to use the smartwatch. By using the findings from the study, the digital wearables providers, manufacturers, and promotors can enhance their strategy to elevate the use of digital healthcare wearables among Korean elderly people while ensuring these products are of good quality and affordable, as well as ensuring necessary assistance is provided to the elderly people when utilizing and adopting these wearables in their everyday lives. Moreover, the results of this study can be utilized to accommodate the needs of Korean elderly people regarding their use of smart health watches and help promote the benefits of healthcare wearable technologies after the pandemic subsides.

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.

Tourism to Indian heritage destinations has been on the rise due to the increasing demand for heritage tourism. Increasing customer satisfaction and promoting Indian culture require tourism businesses to understand factors influencing tourists’ experiences and behavior towards these destinations. Therefore, this study analyzes four popular heritage tourist destinations in India by using online reviews collected from Google Travel. Data are refined, processed, and visualized using the R programming language and UCINET 6.0. Furthermore, we explore the fundamental framework and interconnections among these characteristics through the utilization of exploratory factor analysis and linear regression analysis with the assistance of the SPSS software package. Based on customer reviews obtained from Google Reviews, an analysis was conducted on 6618 reviews of four heritage tourism destinations in India. From the top 60 words, four clusters of words were created, including “Physical characteristic”, “Cultural and historical link”, “atmosphere”, and “area”. Through explanatory factor analysis and linear regression analysis, we found that Physical characteristic, Cultural and historical link, atmosphere, and area all play a significant role in customer satisfaction. This study provides heritage destination managers and Indian government with insights into which attributes impact customer satisfaction the most and offers valuable marketing insights. As a result of this study, we are able to gain a greater understanding of the Indian heritage tourism market, and in doing so, we provide businesses with implications on how to enhance customer service.

The design of product packaging significantly impacts consumer behavior by attracting attention and influencing purchasing choices within a competitive market environment. This research explores the effects of visual packaging elements, such as branding, imagery, and descriptive text, on consumer preferences and decisions. By examining regular, organic, and character-themed milk packaging, the study seeks to determine which features effectively capture attention and drive engagement. Employing eye-tracking tools (Tobii Pro Spectrum and Tobii Pro Lab) alongside survey analysis, the study evaluates consumer focus through fixation durations and heatmap visualizations. The findings indicate that character-themed packaging draws the most attention, with colorful illustrations and prominently displayed brand names playing a central role. Fixation data highlight brand names as the most consistently engaging feature across all packaging types. Regression analysis further reveals that cultural familiarity influences preferences, as international participants favored designs resembling those from their home regions or familiar global brands. These insights underscore the importance of visually appealing and culturally relevant designs in building consumer engagement and brand loyalty. The study offers valuable guidance for marketers and designers aiming to create packaging that resonates with diverse audiences and market demands.

With the increasing number of foreigners residing in Korea, there is a need for further research on medical service satisfaction for this demographic. Therefore, this study aimed to analyze the impact of medical service quality on customer satisfaction and revisit intention of foreigners in Korea during the COVID-19 pandemic. An online survey was conducted from 15 March to 15 May 2022 to gather data from foreign residents in Korea. A total of 201 questionnaires were analyzed using IBM SPSS Statistics 26.0 and Smart PLS3.0 for empirical analysis. The results of the study demonstrate that reliability, empathy, and COVID-19 regulations (excluding responsiveness, assurance, and tangibles) positively impact customer satisfaction with medical services. Additionally, customer satisfaction with medical services positively affects revisit intention. Furthermore, variables, such as nationality and medical department, show average differences. These findings suggest that hospitals should focus on COVID-19 prevention and the quality of medical services, while also taking into account unique characteristics, such as nationality and medical department. This study provides essential reference data for medical institutions exposed to infinite competition, informing management strategies to increase customer satisfaction and revisit intention during COVID-19.

The MICE (Meetings, Incentives, Conventions, and Exhibitions) industry plays a crucial role in driving the rapid growth of the local economy, and Busan is emerging as a significant MICE destination in Asia. This study uses online customer reviews to acquire a more in-depth insight into BEXCO (Busan Exhibition & Convention Center)’s customer experiences and satisfaction levels. A meticulously curated dataset of 2339 Google Maps reviews was assembled using the Outscraper tool. KH Coder 3 software was employed for a comprehensive analysis, including word frequency and co-occurrence analysis. The co-occurrence analysis revealed three prominent clusters of keywords: ‘MICE’ (Meetings, Incentives, Conferences, and Exhibitions), ‘Facility’, and ‘Environment’. This study also conducted exploratory factor analysis (EFA) and identified six factors that play a significant role in shaping customer experiences at BEXCO. Using these six factors, this study performed regression analysis to determine their impact on customer satisfaction. The results show that Food and Beverage, Venue, Event Space, and Parking Facilities significantly affect customer satisfaction. This research aims to bridge existing knowledge gaps, offering valuable insights that can contribute to the strategic development and enhancement of BEXCO’s offerings, thereby influencing the overall impact on the MICE sector in Busan.