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This study assessed the energy-saving and climate-adaptive potential of cool skin and ventilated cavity skin facade technologies in Seoul's high-rise apartment buildings. We created weather scenarios for historical, mid-term future, and long-term future conditions using Coordinated Regional Downscaling EXperiment (CORDEX) method. Building energy simulations were conducted on a South Korean high-rise apartment model to evaluate their performance under different weather conditions. The results indicate that cool skin and ventilated cavity skin technologies can save cooling energy during summers but lead to heating energy penalties in winters. Ventilated cavity skin outperforms cool skin, offering better cooling energy savings and reduced heating penalties. Combining both technologies yields the highest overall energy savings, with 7 %, 9 %, and 10 % cooling energy savings for cool skin, ventilated cavity skin, and the combined package, respectively. However, cool skin increases heating energy consumption by 5 %, while ventilated cavity skin has minimal impact on heating energy. These envelope technologies also reduce peak electricity demand by at least 5 %, 8 %, and 9 %, respectively. They contribute to heat stress reduction, enhance resilience, and decrease extreme heat risks for occupants during power outages by at least 18 % under various weather conditions. Considering the prevalence of aging high-rise apartments in South Korea, adopting these envelope renovation strategies can effectively reduce cooling loads, enhance thermal comfort, and boost resilience under future climates, while avoiding costly reconstruction.

The study addresses a gap in the literature on student-run restaurants (SRRs), emphasizing the lack of discussion surrounding the analysis of sales data to predict patrons’ purchasing behaviors. Combining theoretical frameworks from the theory of dining and socio-economic theory, the research aims to deepen our understanding of how patron groups and menu price formats influence operational outcomes in SRRs, specifically, the total number of menu items purchased and average per-person spending. Utilizing sales data from an SRR (n = 1,114) affiliated with a Midwest public university in the US, this study reveals crucial insights into SRR dynamics. Model 1 uncovers how menu price formats, patron groups, and menu categories shape average per-person food spending. Model 2 highlights the revenue advantage of prix-fixe over à la carte formats. Additionally, Model 3 illustrates how patron groups influence menu choices and purchasing spending. Given the results, this study enriches our understanding of SRR operations by integrating both the theory of dining and socio-economic theory and contributes valuable insights to enhance the sustainability of SRR operations through refining menu planning and profit strategies. [ABSTRACT FROM AUTHOR]

This study utilizes multi‐homing theory to assess international travelers' usage of social media platforms, revealing insights into their gender, country of origin, generation cohorts, and travel purposes. These insights can guide the development of effective social media marketing strategies for national destination management organizations (DMOs). Data from South Korea's 2019 International Visitor Survey (with 12,194 participants) was analyzed using chi‐square and correspondence analysis techniques. The results revealed distinctive preferences of international visitors among generational cohorts with different travel purposes across 19 countries in the usage of online travel communities, social network platforms, video‐sharing platforms, and travel blogs. Understanding the dynamics of social media platforms helps national DMOs enhance their social media marketing strategies for international visitors, based on the multi‐sided platform usage paradigm. Nevertheless, acknowledging the study's limitations points towards potential avenues for future research. [ABSTRACT FROM AUTHOR]

This study explores the positive relationships between the three dimensions of relationship benefits (confidence benefits, social benefits, and special treatment benefits), attitudinal loyalty (consumer emotion and customer commitment), and behavioral intention in the Kids' café segment. To test the proposed hypotheses, structural equation modeling was utilized based on data from a total of 263 customers visiting Kids cafés in South Korea. The current study demonstrated the role of relationship benefits as a key determinant of attitudinal loyalty (customer emotion, customer commitment) and behavioral loyalty in an emerging business paradigm of Kids' café services. The results offer insight not only into how the salient constructs might impact behavioral loyalty but also provide practical guidelines for enhancing the effectiveness of relationship benefits thus helping facilitate behavioral loyalty in the strategic relationship marketing practices of Kids cafés. [ABSTRACT FROM AUTHOR]

Mechanoluminescence (ML) and digital image correlation (DIC) have emerged as promising optical methods to visualize and measure deformation fields. In this study, a dual-modal sensing skin, called the ML-DIC skin is introduced, that is capable of emitting ML and facilitating DIC measurements under various lighting conditions, including daylight, night or darkness, and UV irradiation. Four ML-DIC skins are fabricated with or without carbon nanotubes (CNTs) using a composite powder consisting of SrAl2O4: Eu,Dy (SAO), and acrylic resin, with CNT milling times of 48, 72, and 96 h for three of four skins, respectively. DIC measurements are performed under multiple lighting conditions for measuring photoluminescence, persistence luminescence, and reflection. Uniaxial tension tests demonstrate the superior performance of ML-DIC skins with CNTs compared with pristine SAO skins, with the skin subjected to 48 h of CNT dispersion exhibiting optimal performance. Further investigations focus on ML emission and DIC measurements near the crack-tip vicinity of static and propagating cracks as well as on surfaces above subsurface cracks. The integration of ML and DIC techniques offers a versatile approach for comprehensive deformation analysis applicable to diverse environments, with implications for materials science, engineering, and structural health monitoring., (© 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)