• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.44 no.4
• /
• pp.577-585
• /
• 2024

Infrastructure plays a crucial role in the industrial development and economic growth of a nation. However, recently, domestic infrastructure has been causing not only safety risks due to aging but also social and economic inefficiencies, increasing the need for maintenance. In particular, the deterioration rate of bridges is serious, so application of appropriate repair and rehabilitation methods and estimation of its quantity are required. In this study, frequently applied repair methods for bridges using data from the Facility Integrated Management System (FMS) were identified. the empirical correlation between damage volume and the repair volume was analyzed using Bridge Management System (BMS) data. The result of the analysis showed that the ratio of the repair volume to the damage volume was 1.0. The guideline, on the other hand, suggest 1.5 the ratio of the repair volume to the damage volume. Although the guidelines differently present more conservative figures considering safety, this study is significant in that it presents a practical ratio through data analysis results. This results can be used to develop a model that can calculate the amount of repair and rehabilitation of various facilities in the future.

• Journal of Industrial Convergence
• /
• v.22 no.7
• /
• pp.81-91
• /
• 2024

This study was conducted to determine the status of allergic diseases and mental health in adolescents, confirm the relationship between allergic diseases and mental health, and provide basic data for developing effective disease management measures for adolescents at the developmental stage. Secondary analysis was performed on the data from the 17^th Youth Health Behavior Online Survey, and complex sample descriptive statistics, cross-tabulation, and logistic regression analysis were performed using the SPSS 26.0 program. As a result of the study, those with one or more allergic diseases were 1.286 times more likely to have stress (B=1.286, p<.000), 1.289 times more likely to be depressed (B=1.289, p<.000), and 1.399 times more likely to have generalized anxiety disorder (B=1.399, p<.000) was highly likely to experience it. Additionally, factors affecting the mental health of adolescents with allergic diseases were gender, economic level, academic performance, drinking experience, and smoking experience. Stress and generalized anxiety disorder were more likely to be experienced by female students, if they had a lower economic level and academic performance, and if they drank alcohol or smoked. Male students were more likely to experience depression if their economic level and academic performance were higher, and if they did not drink alcohol or smoke. Based on these results, we hope to establish a practical approach by establishing effective strategies to manage allergic diseases in adolescents and the mental health conditions that may arise from them.

• Journal of Service Research and Studies
• /
• v.14 no.3
• /
• pp.79-101
• /
• 2024

This study aims to investigate the impact of hotel marketing agility on employee job crafting and service innovative behavior in the context of the uncertainties faced by the Korean hotel industry amidst a rapidly changing business environment. In the post-COVID era, hotel companies need to quickly detect market trends and respond flexibly to secure a competitive advantage and promote sustainable growth. Given the high proportion of face-to-face services in the hotel industry, marketing agility is emerging as a core competency to effectively cope with changing customer demands and market dynamics. However, an organization's agile marketing capabilities only take on true meaning when frontline employees voluntarily redesign their jobs and lead service process innovations. In this regard, job crafting, which refers to employees' active redefinition and modification of their job boundaries, can serve as a link between organizational agility and individual innovative behavior. By empirically analyzing the structural relationship between marketing agility, job crafting, and service innovative behavior in the hotel context, this study applies the concept of agility to the field of human resource management and provides new insights into the antecedents and outcomes of job crafting. The results show that hotel responsiveness has a significant positive impact on all three dimensions of job crafting. In the case of speed and flexibility, they had a significant positive effect on task and relational crafting, but the effect of speed on cognitive crafting was not significant. The implications of the study suggest that hotels' rapid decision-making and execution may actually constrain employees' cognitive crafting activities, such as reflecting on and reinterpreting the meaning and identity of their work. Furthermore, it is expected to provide meaningful insights for hotel managers facing environmental upheavals to seek practical measures to enhance agility and innovativeness.

• Information Systems Review
• /
• v.26 no.1
• /
• pp.315-335
• /
• 2024

This study analyzes the digital business environment in Korea and predicts the digital business trends to be noted in 2024. The study comprehensively reviews the domestic and international ICT market outlook and provides objective and in-depth analysis by compiling opinions from various experts. In particular, through a multi-dimensional approach, it derives practical trends applicable to the local business environment, provides strategic implications considering the characteristics of digital business in Korea, and suggests directions for Korean companies to adapt to the global business environment and strengthen their competitiveness. During the research process, 20 preliminary candidate trends were initially identified by collecting and analyzing reports from major domestic and international market research institutes. We then conducted in-depth interviews with 10 experts from industry and academia to select 15 shortlisted trends from these 20 trends and 10 trends selected from the previous year. Finally, we conducted a large-scale survey of 209 experts from academia and industry, and we selected 11 domestic digital business trends to focus on in 2024. This study, which presents an outlook of digital business trends suitable for the Korean business environment based on a variety of opinions scientifically gathered from Korean digital business leaders, will contribute to understanding IT trends in Korea from a business perspective and their differences from global trends.

• Information Systems Review
• /
• v.26 no.2
• /
• pp.23-43
• /
• 2024

Nowadays, online reviews have become a common word of mouth that many users produce and consume. Posting online reviews is a kind of job that consumers do themselves. Since posting online reviews is not mandatory, it entirely relies on the consumer's voluntary willingness. In this respect, this study aims to describe the motivation for posting online reviews and their behavior processes, such as why online reviewers generate reviews and what types of reviews they create. In this study, we have conducted an in-depth study with 18 participants who have experience in posting reviews. By analyzing interview manuscripts from the grounded theory method approach, we have ultimately presented motivating factors for review posting (mutual reciprocity, material rewards), determinants of review browsing (trust toward review contents, preference for review format), and shadow work (a job that must be done, voluntary data production, consumer's share). We have also proposed the dynamics between core dimensions for theorizing a cycle process of review production and consumption. Our findings could bridge the gap in the existing online review research and offer practical implications for platform companies that need review management.

• Information Systems Review
• /
• v.26 no.1
• /
• pp.19-56
• /
• 2024

This study is empirical research to enhance understanding of AI (artificial intelligence) training data project in South Korea. It primarily focuses on the various concerns regarding data quality from policy-executing institutions, data construction companies, and organizations utilizing AI training data to develop the most reliable algorithm for society. For academic contribution, this study suggests a theoretical foundation and research model for understanding AI training data quality and its antecedents, as well as the unique data and ethical aspects of AI. For this purpose, this study proposes a research model with important antecedents related to AI training data quality, such as data attribute factors, data building environmental factors, and data type-related factors. The study collects 393 sample data from actual practitioners and personnel from companies building artificial intelligence training data and companies developing artificial intelligence services. Data analysis was conducted through Fuzzy Set Qualitative Comparative Analysis (fsQCA) and Artificial Neural Network analysis (ANN), presenting academic and practical implications related to the quality of AI training data.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.4
• /
• pp.29-40
• /
• 2024

This study analyzed the impact of venture companies' innovation capabilities on business performance by growth stage. Innovation capability, which is an independent variable, is composed of entrepreneur characteristics, technology development capabilities, marketing capabilities, and external cooperation. And the dependent variables were set as sales and long-term growth prospects. This study utilized data from the '2022 Precise Survey on Venture Companies'and conducted descriptive statistics analysis, correlation analysis, and multiple regression analysis as research methodology. As a result of the analysis, the negative influence of the educational background of entrepreneurs' characteristics was found to decrease as the growth stage increased, and the long-term growth prospects of entrepreneurs with abundant industrial practical experience were perceived positively. Research and development personnel was a negative factor during the start-up period, but as the growth stage increased and technology accumulation occurred, it changed into a positive factor. Marketing competency level was found to be an important factor in all growth stages. For external collaboration activities, all hypotheses regarding sales were rejected, but hypotheses regarding the start-up and growth periods regarding long-term growth prospects were accepted. it is interpreted that external collaboration activities are necessary to overcome the limitations of internal resources.

• Knowledge Management Research
• /
• v.25 no.3
• /
• pp.231-251
• /
• 2024

For Airbnb, one of the most successful examples of the sharing economy, to continuously grow, it needs a steady supply of attractive listings. To this end, this study draws on existing research on Airbnb and signaling theory to examine the factors that influence the performance of Airbnb listings. From a dynamic perspective, we expect the importance of factors affecting listings' performance to differ between new and existing listings. Analyzing Airbnb data from the 10 most active US cities using negative binomial regression, we find that dynamic attributes that require a time investment have a stronger impact on existing listings, while static attributes that require less of a time investment have a similar effect on both types. The host's membership duration and number of listings were expected to have positive effects, but showed negative effects. While the instant booking policy increased users' convenience, some hosts were reluctant to use it. The results of the analysis suggest that the importance of the factors varies depending on the type of Airbnb listing (new vs. existing), and the need for differentiated policies and complementary measures based on the type of listing is necessary in a practical perspective.

• Journal of The Korean Association For Science Education
• /
• v.44 no.5
• /
• pp.473-485
• /
• 2024

In this study, three secondary science teachers' questioning considering the context of discourse were investigated, and the factors influencing their questioning were explored. The questions were categorized into questions that elicit students' opinions or probe their thinking, questions in response to student utterances, questions for classroom management, and rhetorical questions. The results showed that questions related to scientific concepts were classified differently depending on the teachers' intent. Only one teacher frequently used questions that related to students' everyday life experiences. Two teachers, when using "questions asking for students' thoughts," mostly led students to give short or limited option answers. These teachers primarily considered the interactive aspect of questioning but did not account for the cognitive aspect. Teachers often used "questions utilizing student utterances" when students provided answers aligned with scientific concepts. Teachers also used "questions that simply repeated student utterances" with varying intonation to indicate whether the students' responses were correct or incorrect. "Affective questions" were rarely used by the teachers. One teacher did not use "management questions" to check students' understanding or progress, failing to confirm students' comprehension. Characteristics of students, the teachers' teaching and learning beliefs, knowledge about questioning, and subject matter knowledge collectively influenced the teachers' questioning strategies. Based on the results, practical implications for improving science teachers' questioning skills were discussed.

• Journal of Practical Engineering Education
• /
• v.16 no.5_spc
• /
• pp.793-802
• /
• 2024

This study aimed to test a hypothetical model explaining the mediating effect of depression on the relationship between academic burnout and clinical practice stress among nursing students in the post-COVID-19 era. A cross-sectional survey was conducted with 200 senior nursing students from two universities in C province, South Korea, from December 1 to 9, 2023. Data were analyzed using descriptive statistics, Pearson's correlation, and structural equation modeling with SPSS/WIN 26.0 and AMOS 26.0. The hypothesized model explained 75.6% of the variance in clinical practice stress among nursing students. Depression did not mediate the relationship between academic burnout and clinical practice stress (β=.06, p=.160). However, both academic burnout (β=.77, p=.004) and depression (β=.23, p=.005) directly affected clinical practice stress. In the post-COVID-19 era, academic burnout significantly influences nursing students' clinical practice stress. While depression does not mediate this relationship, it directly affects clinical practice stress. These findings suggest the need for interventions focusing on reducing academic burnout through mentoring programs and stress management strategies, alongside depression management, to alleviate clinical practice stress among nursing students. Future nursing education should implement an integrated approach to manage students' academic burden and support mental health following clinical practice.