• Journal of Technology Innovation
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• v.32 no.2
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• pp.23-58
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• 2024

Despite the important roles of institutions and their collaboration in producing knowledge for innovation, the lack of accurate methods for identifying such knowledge-producing institutions has restricted empirical research on the role of institutions in innovation. This study explores methods to enhance the accuracy of identifying institutions involved in innovation process. To this end, we propose ways to improve accuracy in both aspects of information - data and algorithms - using bibliographic information in the digital health field. Specifically, in the data processing stage before applying algorithms, we address contextual inaccuracies of bibliographic information; in the algorithm application stage, we propose methods to improve the ambiguity of institution names (IND). When compared with the PKG dataset, which is publicly available datasets based on the same bibliographic information, our methods doubled the number of cases available for subsequent analysis. We also discovered that the contribution of Korean institutions in the digital health field is either underestimated or overestimated. The method presented in this study is expected to contribute to empirically researching the role of knowledge-producing institutions in innovation process and ecosystem.

• Land and Housing Review
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• v.15 no.3
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• pp.97-111
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• 2024

Greenhouse gas emissions and environmental pollution persist globally, leading to an increase in extreme weather events, such as floods and droughts. Previous studies have investigated various factors for energy consumption, such as household, residential, economic, and social characteristics. However, the body of research examining energy-saving behavior and perceptions remains limited and underexplored. In particular, significant differences in energy conservation perceptions can be observed among individual household members, even within the same household. To this end, this study explores how household energy consumption is associated with various factors, including household characteristics, housing characteristics, energy-saving behaviors, and seasonal factors. We utilize survey data from the Household Energy Panel, spanning a 24-month period from January 2018 to December 2019, comprising a sample of 5,897 households across 17 cities and provinces nationwide. The findings of this study are expected to offer an empirical evidence for household energy-saving policies.

• Land and Housing Review
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• v.15 no.3
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• pp.1-23
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• 2024

In the face of an impending demographic cliff, this research delves into geographical disparities in socioeconomic statuses and living arrangements of young single women in rental housing and also to explore influential factors of their residential assessment and housing expenditure. From the Korean Housing Survey of 2020, the cross-sectional study identified 847 unmarried female single-person householders aged between 20 and 39 in four districts - Seoul and Gyeonggi-Incheon Area (GIA) of Seoul Metropolitan Area (SMA), and metropolises and non-metropolises of non-SMA. The empirical analyses revealed that regardless of regions, most of the respondents were college-educated, salaried employees in late 20s living in a studio flat, seldom bore debt and barely relied on social services. Renters in SMA, employment rate, income and living expenses were higher than those in non-SMA and they resided in small, old but adequate housing with a separate bedroom. In particular, Seoulites suffered from housing cost overburden but most singles in GIA benefited from the lowest housing burden. While the main determinant of residential assessment was livability, housing satisfaction was additionally affected by old housing and the satisfaction with residential environment was also explained by urban amenities. Despite geographical variations, housing expenditure was primarily driven by income and employment.

• Korean Journal of Remote Sensing
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• v.40 no.4
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• pp.397-418
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• 2024

The Land Surface Temperature (LST) is a crucial parameter in identifying drought. It is essential to identify how LST can increase its accuracy, particularly in mountainous and hill areas. Increasing the LST accuracy can be achieved by applying early data processing in the correction phase, specifically in the context of topographic correction on the Lambertian model. Empirical evidence has demonstrated that this particular stage effectively enhances the process of identifying objects, especially within areas that lack direct illumination. Therefore, this research aims to examine the application of the Lambertian model in estimating LST using the Multi-Channel Method (MCM) across various physiographic regions. Lambertian model is a method that utilizes Lambertian reflectance and specifically addresses the radiance value obtained from Sun-Canopy-Sensor(SCS) and Cosine Correction measurements. Applying topographical adjustment to the LST outcome results in a notable augmentation in the dispersion of LST values. Nevertheless, the area physiography is also significant as the plains terrain tends to have an extreme LST value of ≥ 350 K. In mountainous and hilly terrains, the LST value often falls within the range of 310-325 K. The absence of topographic correction in LST results in varying values: 22 K for the plains area, 12-21 K for hilly and mountainous terrain, and 7-9 K for both plains and mountainous terrains. Furthermore, validation results indicate that employing the Lambertian model with SCS and Cosine Correction methods yields superior outcomes compared to processing without the Lambertian model, particularly in hilly and mountainous terrain. Conversely, in plain areas, the Lambertian model's application proves suboptimal. Additionally, the relationship between physiography and LST derived using the Lambertian model shows a high average R² value of 0.99. The lowest errors(K) and root mean square error values, approximately ±2 K and 0.54, respectively, were achieved using the Lambertian model with the SCS method. Based on the findings, this research concluded that the Lambertian model could increase LST values. These corrected values are often higher than the LST values obtained without the Lambertian model.

• Journal of Korea Port Economic Association
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• v.39 no.4
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• pp.147-161
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• 2023

As global challenges, particularly climate change, become more pressing, there is a growing global awareness of Environmental, Social, and Governance (ESG) management. Given the crucial role played by the logistics industry in the complex network of the global supply chain, various societal stakeholders are emphasizing the necessity for logistics entities to practice ESG management. Despite the comprehensive ESG guidelines established by Korea for all enterprises, a notable limitation arises from its inadequate consideration of the distinctive features inherent to logistics enterprises, especially those of a smaller and medium scale. Accordingly, this study conducts a thorough examination of existing ESG guidelines, sustainable management approaches in large-scale logistics enterprises, and prior research to identify potential ESG management diagnostic criteria relevant to small and medium-sized logistics enterprises, including aspects such as Public(P), Environmental(E), Social(S), and Governance(G). To streamline the diagnostic criteria, taking into account the unique characteristics of small and medium-sized logistics enterprises, this study conducts a survey involving 60 logistics company personnel and experts from academic and research domains. The collected data undergoes Principal Component Analysis (PCA), revealing that the four dimensions of information disclosure can be consolidated into a single dimension. Additionally, environmental criteria reduce from 16 to 3 items, societal considerations decrease from 22 to 7 items, and governance structures distill from 20 to 5 items. This empirical endeavor is deemed significant in presenting tailored ESG management diagnostic criteria aligned with the specificities of small and medium-sized logistics enterprises. The findings of this study are expected to serve as a foundational resource for the development of guidelines by relevant entities, promoting the wider adoption of ESG management practices in the sphere of small and medium-sized logistics enterprises in the near future. population coming from areas other than Gwangyang, where Gwangyang Port is located.

• Information Systems Review
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• v.26 no.1
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• pp.173-192
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• 2024

The phenomenon of consumers referring to the opinions of other consumers when choosing a hotel based on review platforms is rapidly increasing. Previous research has mainly focused on how online reviews affect travelers' information acceptance and decision making. However, there are only a few studies on how hotels' CSR activities are reflected in online reviews and how this information affects potential consumers. As the importance of CSR in the hotel industry continues to grow, it is meaningful to analyze whether a hotel's CSR activities are communicated to other potential consumers through online reviews. In this study, we explored the relationship by considering the reviewer's culture as a leading factor of CSR information included in online reviews and review usefulness as a subsequent factor. For empirical analysis, 6,632 online reviews of hotels located in Seoul were collected and analyzed using multilevel regression analysis. The LIWC(Linguistic Inquiry and Word Count) methodology was used to measure CSR information, and national culture was measured separately into East and West. As a result of the analysis, consumers in Asian countries tend to write relatively more CSR information in online reviews, and CSR information included in reviews had a positive effect on review usefulness.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.141-160
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• 2024

In recent years, turnover intention among employees in China's banking industry has surged due to internal and external environmental pressures. This surge surpasses those occurring in other sectors. This rising trend in employee turnover has resulted in reducing employee turnover becoming a critical priority for banks in their ongoing development. Traditional leadership styles have proven inadequate for addressing this issue, requiring a shift towards more effective management approaches. This study explores the potential of servant leadership, a management style that prioritizes employees' needs, supports their development, and motivates them to realize their potential, as a means to mitigate rising turnover intentions. The research focuses on employees in the Chinese banking sector so as to examine the impact of the servant leadership management approach on their turnover intentions. Job crafting is investigated as a mediating variable, while stress mindset is assessed as a moderating variable. Data were collected from 401 valid questionnaires across 62 teams, comprising 62 leaders and 339 employees. Hypotheses were tested using SPSS 26.0 and HLM 6.0. The findings reveal that: (1) servant leadership significantly reduces turnover intentions; (2) job crafting mediates the relationship between servant leadership and turnover intentions; and (3) stress mindset positively moderates the influence of job crafting on turnover intentions. This study provides empirical evidence supporting the relationship between servant leadership and turnover intentions. The study's findings offer valuable insights into how to enhance employee management practices. It also discusses the theoretical and practical implications of integrating servant leadership into the banking sector, highlights the study's limitations, and proposes directions for future research.

• Journal of Naturopathy
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• v.13 no.2
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• pp.85-96
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• 2024

Background: The need to study music intervention for adolescents with severe developmental disabilities who engage in aggressive behavior. Purpose: This study aims to examine the researcher's experience in creating a music intervention environment when adolescents with severe developmental disabilities engage in aggressive behavior to avoid tasks. Method: Among the qualitative research methods, the researcher's experiences were explored through autoethnography. Collect a variety of empirical data on the research topic, the experience was analyzed according to the thematic analysis method of Braun and Clarke(2006). Results: As a result of data analysis, 31 codes, 9 sub-topics, and 3 super-topics were derived. Three superordinate themes were derived according to the nature of the environment: "Musical environment to reduce task resistance," "Physical environment that provides stability and comfort" and "Interpersonal environment with trust and warmth." Conclusion: In order to prevent and alleviate aggressive behavior in adolescents with severe developmental disabilities, it is important to create an environment tailored to them, so an ecological approach is necessary in music intervention. Although this is only a partial study, it provides information to therapists preparing for music intervention for adolescents with severe developmental disabilities and is meaningful as basic data on future intervention plans and coping strategies.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1321-1321
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• 2024

Concrete arch dams, unlike conventional concrete gravity dams, have thin arch-shaped cross sections and must be designed considering a three-dimensional shape. In particular, double-curvature arch dams, which have arch-shaped vertical and horizontal sections, require careful consideration during design due to their unique shape. Although stress analysis is complex, and various factors need to be considered during the design, these dams offer economic advantages as they require less material. Consequently, numerous double-curvature arch dams have been constructed worldwide, and ongoing research focuses on optimizing their shapes. In this study, an efficient optimization algorithm was developed for the shape optimization of concrete arch dams with double-curvature using genetic algorithms and improved population initializing technique. The developed technique utilized domain knowledge in the field of arch dams to generate an excellent initial population. To assess the relevance of domain knowledge, an investigation was conducted on the accumulated knowledge and empirical formulas from literature. Two pieces of domain knowledge can be gleaned from the iterative structural design experiences associated with arch dams. First, it concerns the thickness of the central cantilever of an arch dam. For minimum tensile stress, it is best to make the thickness as thin as possible at the dam crest and gradually become thicker as it goes down. The second aspect concerns the sliding stability of the arch dam, which depends on the central angle of the horizontal section. This angel is important for stability because the plane arch serves to transfer the hydraulic load from the reservoir to both abutments. Also, preliminary design formulas for arch dams from a manual written by the United States Bureau of Reclamation (USBR) were used. On the other hand, since domain knowledge is based on engineering experiences and data from existing dams, its usability should be verified by comparing it with the results of design optimization performed by classic genetic algorithms. To validate the performance of the optimization algorithm with the improved population initialization technique, a test site with an existing dam was selected, and algorithmic application tests were conducted. Stress analysis is performed for each design iteration, evaluating constraints and calculating fitness as the objective function. The results confirmed that the algorithm developed in this study exhibits superior performance in terms of average fitness and convergence rate compared to classic genetic algorithms.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.4
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• pp.77-85
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• 2014

A goal of Bizcool entrepreneurship education targeting on the youth falls on letting understand the process of starts-up, enhance entrepreneurship will and their business creativities rather than training trivial starts-up skills such as writing business plan for successful starts-up. The effects of education enable Bizcoo students to recognize rightly the concept of starts-up training and lead to spread out demand for entrepreneurship education. The feedback check-up for how entrepreneurship education affects students getting through of it is necessary and possible to bring its' improvement alternatives. Despite of such highlight, not many measuring tools and indexes of evaluating an effectiveness of entrepreneurship education are developed and studied up until. This research suggests for the optimal indexes for them. In specific, this research 49 the first question sets of evaluating an effectiveness of entrepreneurship education classified 3 large categories and 11 following sub categories each of them such as entrepreneurship orientation, creativity, entrepreneurship preparing activities etc,. representing embedding education effects though entrepreneurship education. This research carry out the empirical survey research utilizing driven question sets against 5 different Bizcools sampling 287 students. The survey research delivers the final 3 large categories and 8 following sub categories(Innovativeness, risk-taking, problem-solving potent, cooperative decision-making potent, efficient behavior capacity, data collecting potent, career search, starts-up search and preparation), and 38 measuring indexes by search and confirming factor analysis. This research never drop the confidence test over each indexes and obtain the proper figures. Last but not least, this research confirm the gap between starts-up club members and non members as to an effectiveness of entrepreneurship education and 9 different indexes.