• Annals of Occupational and Environmental Medicine
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• v.34
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• pp.20.1-20.12
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• 2022

Background: In the manufacturing industry, work-family conflict (WFC) is related to working hour characteristics. Earlier studies on the relationship between working hour characteristics and WFC in the manufacturing industry have been limited to some regions in Korea. No study has addressed the data on a national scale. Thus, this study investigated the impact of weekly working hours, weekend work, and shift work on WFC using national-scale data. Methods: This study was based on the fifth Korean Working Conditions Survey of 5,432 manufacturers. WFC consists of 5 variables; WFC1 "kept worrying about work"; WFC2 "felt too tired after work"; WFC3 "work prevented time for family"; WFC4 "difficult to concentrate on work"; WFC5 "family responsibilities prevented time for work". As WFC refers to the inter-role conflict between the need for paid work and family work, WFC has been measured in two directions, work to family conflict (WTFC: WFC1, 2, 3) and family to work conflict (FTWC: WFC4, 5). With these WFC variables, we conducted multiple logistic analyses to study how working hours, weekend work, and shift work impact WFC. Results: Korean manufacturers' prolonged working hours increased all aspects of WFCs. Odds ratios (ORs) of WFCs based on working hours (reference of under 40 hours) of 41-52, 53-60, over 61 were 1.247, 1.611, 2.279 (WFC1); 1.111, 2.561, 6.442 (WFC2); 1.219, 3.495, 8.327 (WFC3); 1.076, 2.019, 2.656 (WFC4); and 1.166, 1.592, 1.946 (WFC5), respectively. Shiftwork in the WFC2 model showed a significantly higher OR of 1.390. Weekend work 'only on Saturday' had significant ORs with WFC2 (1.323) and WFC3 (1.552). Conclusions: An increase in working hours leads to the spending of less time attending to problems between work and family, causing both WTFC and FTWC to increase. As weekends, evenings, and nighttime are considered to be family-friendly to people, working on weekends and shift-work were highly correlated to WTFC.

• Journal of Cardiovascular Imaging
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• v.30 no.4
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• pp.263-275
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• 2022

BACKGROUND: Cardiac allograft vasculopathy (CAV) is a complication beyond the first-year post-heart transplantation (HTx). We aimed to test the utility of cardiac magnetic resonance (CMR) to detect functional/structural changes in HTx recipients with CAV. METHODS: Seventy-seven prospectively recruited HTx recipients beyond the first-year post-HTx and 18 healthy controls underwent CMR, including cine imaging of ventricular function and T1- and T2-mapping to assess myocardial tissue changes. Data analysis included quantification of global cardiac function and regional T2, T1 and extracellular volume based on the 16-segment model. International Society for Heart and Lung Transplantation criteria was used to adjudicate CAV grade (0-3) based on coronary angiography. RESULTS: The majority of HTx recipients (73%) presented with CAV (1: n = 42, 2/3: n = 14, 0: n = 21). Global and segmental T2 (49.5 ± 3.4 ms vs 50.6 ± 3.4 ms, p < 0.001;16/16 segments) were significantly elevated in CAV-0 compared to controls. When comparing CAV-2/3 to CAV-1, global and segmental T2 were significantly increased (53.6 ± 3.2 ms vs. 50.6 ± 2.9 ms, p < 0.001; 16/16 segments) and left ventricular ejection fraction was significantly decreased (54 ± 9% vs. 59 ± 9%, p < 0.05). No global, structural, or functional differences were seen between CAV-0 and CAV-1. CONCLUSIONS: Transplanted hearts display functional and structural alteration compared to native hearts, even in those without evidence of macrovasculopathy (CAV-0). In addition, CMR tissue parameters were sensitive to changes in CAV-1 vs. 2/3 (mild vs. moderate/severe). Further studies are warranted to evaluate the diagnostic value of CMR for the detection and classification of CAV.

• Journal of Christian Education in Korea
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• v.77
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• pp.251-276
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• 2024

This study aimed to enhance the educational competencies of instructors and improve the quality of higher education by identifying instructing types, developing an assessment diagnostic tool, and designing a customized faculty training curriculum for each type. To achieve this, a literature review and Delphi research were conducted. The results are summarized as follows: First, instructing types such as 'Star Lecturer', 'Learning Mentor', and 'Designer' were identified through the analysis of previous studies. Second, a diagnostic tool for determining an instructor's type was developed by modifying and enhancing Grasha's Teaching Style Inventory, which is widely used both domestically and internationally. This tool comprises 24 questions, with 8 questions for each type. Third, a curriculum was designed for each instructing type, consisting of common courses necessary for all types and specialized courses tailored to the characteristics of each type. The common courses cover essentials for lesson design, implementation, and evaluation, while the specialized courses cater to the unique needs of each instructing type. Fourth, the developed model, tools, and curriculum underwent validation. A Delphi method was employed with a group of 10 experts, leading to revisions and finalizations based on their feedback. This study has laid the groundwork for instructors to identify their own teaching styles and receive customized training, thereby enhancing their teaching effectiveness and overall educational quality. However, further research is necessary to develop systems and mechanisms for the operationalization of these findings, including incentives for instructors and strategies for disseminating information among participants.

• Journal of Christian Education in Korea
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• v.77
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• pp.127-150
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• 2024

This study seeks to shed light on the contributions of Horst Klaus Berg to German Bible didactics, underscoring the pivotal role of diverse interpretative approaches in the teaching and learning of the Bible. In an era where the complexities and intricacies of the Bible present significant challenges to contemporary readers, the prevalence of one-dimensional interpretations further obstructs the pathway to a profound comprehension of the spiritual depth embedded within its texts. By centering on Horst Klaus Berg's influential theories in the field of German Bible didactics, this research delves into the impact of varied biblical interpretations on Christian education. Berg's work is celebrated for its insightful strategies, notably his advocacy for comprehensive interpretative methods such as "Railway Tracks" and "Free-Learning." These approaches seek to reconcile traditional biblical teachings with individual experiences, thereby facilitating a more expansive understanding of the Bible's applicability to modern life. Through a detailed examination of Berg's theory on biblical interpretation, this paper argues that Christian education must prioritize the cultivation of diverse interpretative skills and their practical integration into Bible study. This educational model encourages learners to become active interpreters, capable of discerning the text's deep-seated meanings by relating it to their personal experiences. The study concludes by affirming Berg's delineation of three critical tasks in biblical interpretation: "reciprocal interpretation," "acknowledgment of the biblical texts' diversity," and "free learning." These elements are portrayed as interrelated and essential, reinforcing Berg's proposition that understanding the Bible's complexity and diversity is crucial for advancing Christian education. This paper offers a novel perspective on the significance of embracing multifaceted interpretations within the domain of biblical studies.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.169-174
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• 2024

This study purports to identify the factors that contribute to the classification of age groups or generations of Koreans. Independent variables such as respondents' attitudes toward welfare, attitudes toward equity, education level, perception of inequality in Korean society, tax awareness, and health status are included in the model that were put into the analysis with the main interest. Since this study does not construct any hypothesis prior to analysis, the nature of this study can be said exploratory. The data utilized for the analysis are from the 17th year of the Korean Welfare Panel collected in 2022, and a linear discrimination analysis technique will be used. First and foremost, a theoretical review of the generational classification will be conducted through domestic and international literature in the past. To date, there is no quantitative studies in Korea that have a significant influence on the generational classification. Therefore, in this study, a theoretical review of political tendencies and values, which are estimated to have a significant influence on the generational classification, that is, the difference between generations, will be significant. The perception and attitude toward welfare will be discussed in the review of values. Next, analysis models, analysis techniques, and variables to be used in the analysis will be introduced. After

• Journal of Korean Home Economics Education Association
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• v.35 no.3
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• pp.97-116
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• 2023

This study conducted a meta-analysis on the effectiveness of education for sustainable development (ESD) programs within home economics classes. Articles spanning from 2000 to April 2023 were sourced from the Korean Citation Index (KCI) using search terms such as 'environment', 'sustainable', 'ESD', 'green', 'ecology', and 'home economics' in conjunction with 'development', 'application', and 'effectiveness'. Out of the gathered articles, 41 were chosen for analysis. Using a random effects model, the overall effect size was measured at 0.51 (SE=.08), suggesting that ESD programs significantly enhance student achievement in home economics. Further analysis of the 62 effect sizes, categorized by research design, ESD area (society, environment, economy), content area, school level, and school location, revealed that the research design, content area, and school location functioned as moderating variables. The findings of this meta-analysis underscore the efficacy of ESD in home economics education. Additionally, this study paves the way for future research, highlighting the importance of integrating economic perspectives in ESD, such as sustainable production and consumption, corporate sustainability, and market economy within home economics classes.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.188-205
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• 2024

The food truck business, which involves selling various types of food from mobile vehicles, has gained significant popularity in urban centers and at events. These food trucks have rapidly expanded due to their relatively low initial investment and high flexibility, attracting customers with unique menus and personalized services. However, as competition increases, the need to manage service quality to boost customer satisfaction and encourage repeat visits has become more critical. Despite this growing importance, there has been limited empirical research on the topic. This study aims to analyze customer experiences with food truck services to gain strategic insights for improving service quality. By applying structural topic modeling to customer review data, the study identified 50 key topics. The process included a comprehensive evaluation of model diagnostics and interpretability to determine the optimal number of topics, ultimately selecting the most relevant ones related to service experiences. The impact of these identified topics on overall customer satisfaction was empirically tested using regression analysis. The results showed that aspects such as "Food Taste," "Friendly Staff," and "Positive Emotion" had a positive influence on customer satisfaction, whereas "Delayed Service," "Negative Emotion," and "Beverage Service" had a negative impact. Based on this analysis, the study proposes concrete methods for food truck operators to systematically analyze customer feedback and use it to drive service improvements and innovation. This research highlights the importance of data-driven decision-making in small business environments like food trucks and contributes to expanding the application of topic modeling in the service industry.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.19-45
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• 2024

As smart tourism cities are being actively introduced, efforts are emerging to understand the current situation and devise improvements from the perspective of services actually experienced by travelers. This study aimed to present directions for improving the overall service environment of smart tourism cities by introducing the servicescape perspective. It defined servicescape elements within smart tourism cities and analyzed how tourists' servicescape experiences affect their value perception, emotions, and satisfaction. The research model was designed by dividing servicescapes into physical servicescapes (cleanliness, convenience, electrical facilities) and communicative servicescapes (aesthetics and practicality of apps). A survey was conducted on 309 tourists who visited Suwon, a smart tourism city, and analyzed using Smart PLS. The analysis results showed that among physical servicescapes, cleanliness and electrical facilities had a significant impact on the evaluation of tourist destination value, while convenience had no effect. The communicative servicescape, namely the tourism app, had a significant impact on smart tourism value and overall destination value assessment. The tourism app and smart tourism value played a significant role in increasing tourists' positive emotions and decreasing negative emotions, which ultimately affected tourism satisfaction. This study confirmed the importance of tourism apps in smart tourism cities along with the importance of basic physical environments. Through this, it provides useful implications for establishing service improvement strategies for smart tourism cities.

• Journal of the Society of Disaster Information
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• v.20 no.3
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• pp.484-499
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• 2024

Purpose: Recently, due to the aging of safety facilities in national industrial complexes, there has been an increase in the frequency and scale of safety accidents, highlighting the need for a shift toward a prevention-centered disaster management paradigm and the establishment of a digital safety network. In response, this study aims to provide an information system that supports more rapid and precise decision-making during disasters by utilizing digital twin-based integrated control technology to predict the spread of hazardous substances, trace the origin of accidents, and offer safe evacuation routes. Method: We considered various simulation results, such as surface diffusion, upper-level diffusion, and combined diffusion, based on the actual characteristics of hazardous substances and weather conditions, addressing the limitations of previous studies. Additionally, we designed an integrated management system to minimize the limitations of spatiotemporal monitoring by utilizing an IoT sensor-based backtracking model to predict leakage points of hazardous substances in spatiotemporal blind spots. Results: We selected two pilot companies in the Gumi Industrial Complex and installed IoT sensors. Then, we operated a living lab by establishing an integrated management system that provides services such as prediction of hazardous substance dispersion, traceback, AI-based leakage prediction, and evacuation information guidance, all based on digital twin technology within the industrial complex. Conclusion: Taking into account the limitations of previous research, we used digital twin-based AI analysis to predict hazardous chemical leaks, detect leakage accidents, and forecast three-dimensional compound dispersion and traceback diffusion.

• Industry Promotion Research
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• v.9 no.3
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• pp.263-271
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• 2024

The present study examines the dual mediating role of social support and self-esteem in the relationship between grit and life satisfaction among college students. Utilizing a cross-sectional design, we surveyed a sample of 326 undergraduates from one university in China by means of purposive sampling. The analyses were conducted using SPSS PC+ Win. ver. 25.0 and SPSS PROCESS macro ver. 4.2. Pearson's correlation analysis was performed to show the correlations among the variables, and Model 6 of the PROCESS macro for SPSS was used to verify dual mediation effects. First, correlation results indicated positive and significant correlations between grit, social support, self-esteem and life satisfaction. Second, the dual mediating role of social support and self-esteem in the relationship between grit and life satisfaction was proved. This study contributes to the literature by elucidating the psychological mechanisms through which grit operates to enhance life satisfaction. The results have implications for the development of interventions aimed at fostering grit and the enhancement of social support and self-esteem to improve life satisfaction. Suggestions for future studies were discussed in detail.