• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.453-475
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• 2023

This study investigated research data-related services offered by North American university libraries, focusing on service names, hierarchical relationships, job titles of service managers, and job descriptions. The study analyzed the homepages of 50 university libraries and found a clear hierarchical relationship between research data-related service names, indicating a clear structure for these services. The title of 'librarian' was most commonly used for the position in charge of research data-related services, and the job content of this position was found to be quite wide. Other job titles such as 'specialist' and 'analyst' were also used for experts in various research data-related fields. The existence of these job titles was seen as a way for university libraries to strengthen the expertise of their research data-related services. Based on the findings, the authors propose a service composition system for research data-related services in domestic university libraries. This system includes 'research data service' as the highest-level service name, with 'research data management service', 'GIS service', and 'data visualization service' as sub-service names. The authors also suggest that research data-related services should be provided through collaboration between existing university librarians in the early stages of service provision, and that new recruitment of research data-related professionals could be considered gradually.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3D
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• pp.381-389
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• 2009

Korean government is investing 1.8 billion won on infrastructure and investment on PPP projects constitutes 16.3%. This phenomenon is to promote private investment as well as lessening government burdens of public budgeting. However, the only criterion to be considered is government financial status in selecting public or private highway investment projects. So systematic decision support model is required in choosing public or private highway investment projects. So, this paper suggests a systematic decision support model for deciding public or private highway investment at the early stage of project planning. Furthermore, this paper identifies key decision variables with respect to economic, politic, project management criterions based on the related literatures and feedbacks from experts. This paper analyzed 30 cases of government investment and PPP projects and got the survey result from highway specialists. As a result, this paper presents an interval with respect to economic criteria using mean and standard deviation and a logistic regression equation which can predict the possibility of PPP project. Through this study, decision maker of central or local government can decide public or PPP highway project more systematically and reasonably.

• Korean Journal of Social Welfare Studies
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• v.41 no.4
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• pp.5-44
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• 2010

The main purpose of this study is to critically examine the existing theoretical as well as analytical scope of 'sexual minority' in Social Welfare, and to (re)construct and expand it incorporating feminist theories on sexuality. The body of literature on sexual minority or homosexuality in social welfare in Korea as well as in the West can be characterized as two distinct features: first, medical discourse leaning on pathological perspective which perceives homosexuality as a disease or defect, homosexual as a pervert; and second, human rights perspective premised upon the idea of diversity and multi-culturalism, both which are anchoring at 'essentialism.' Based upon the understanding of sexuality as a social construct, we argue that feminist insight on sexuality can lead to reconceptualizing homosexuality and reorienting theories and practices in social welfare. From radical feminism to postmodern queer theories, feminists have developed diverse ideas and complex theories on sexuality and homosexuality, including the concept of 'compulsory heterosexuality,' 'lesbianism as political resistance,' and 'performative gender.' For feminists, particularly, sexuality which is constructed in the complex power matrix of dominations to producing and maintaining inequalities and discriminations is not merely a distinctive variable, but one of the important organizational principles such as gender, class, race, age, and nationality. This epistemological principle will hopefully shed lights on alternative 'knowledge' on homosexuality in social welfare, and lead to significant contribution to its critical expansion in theory and practice.

• Knowledge Management Research
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• v.24 no.3
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• pp.95-125
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• 2023

As the aviation industry has rapidly been grown, there are more factors for customers to consider when choosing an airline. In response, airlines are trying to increase customer value by providing high-quality services and differentiated experiential value. While early customer value research centered on utilitarian value, which is the trade-off between cost and benefit in terms of utility for products and services, the importance of experiential value has recently been emphasized. However, experiential value needs to be studied in a specific context that fully represents customer preferences because what constitutes customer value changes depending on the product or service context. In addition, customer value has an important influence on customers' decision-making, so it is necessary for airlines to accurately understand what constitutes customer value. In this study, we collected customer reviews and ratings from Skytrax, a website specializing in airlines, and utilized the BERTopic technique to derive factors of customer value. The results revealed nine factors that constitute customer value in airlines, and six of them are related to customer satisfaction. This study proposes a new methodology that enables a granular understanding of customer value and provides airlines with specific directions for improving service quality.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.28 no.4
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• pp.133-142
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• 2023

In this paper, we built a data-driven artificial intelligence model using RNN-LSTM (Recurrent Neural Networks-Long Short-Term Memory) to predict the Lorenz system, and examined the possibility of whether this model can replace chaotic dynamic models. We confirmed that the data-driven model reflects the chaotic nature of the Lorenz system, where a small error in the initial conditions produces fundamentally different results, and the system moves around two stable poles, repeating the transition process, the characteristic of "deterministic non-periodic flow", and simulates the bifurcation phenomenon. We also demonstrated the advantage of adjusting integration time intervals to reduce computational resources in data-driven models. Thus, we anticipate expanding the applicability of data-driven artificial intelligence models through future research on refining data-driven models and data assimilation techniques for data-driven models.

• Journal of Family Resource Management and Policy Review
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• v.27 no.3
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• pp.1-19
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• 2023

This study aims to develop a family strength scale for dual-earner families with young children. Based on existing theories of family strength and a review of related literature, we draw on 80 items to measure the strength of dual-earner families. Using a sample of 747 people, all members of dual-earner families with young children, we examined the items' factor structures. Using the statistical method, we checked the validity and reliability of these items. The final scale consisted of four domains with a total of 49 items : basic foundation (basic structure, economic life, and resource management), parenting, social interest and participation (citizenship, volunteer, leisure, network), work-life balance (balance between work and family, sharing the family role, equal division of role). The developed scale can be used in the field, such as in the Healthy Family Support Center or Family Center, in the context of education, counseling, or consulting for dual-earner families. In order to enhance the usefulness and efficiency of the scale, the adequate education system for the professionals who handle this scale in the field and updated data are required.

• Korean Journal of Heritage: History & Science
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• v.56 no.3
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• pp.100-115
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• 2023

The modernization of najeonchil, or mother-of-pearl lacquerware, began in the latter era of the Joseon period and started to set in during the phase of industrial development after the Korean War. Especially, the rise and fall of najeonchil during the first half of the 1900s fluctuated more compared to other types of craft. This paper focuses on the production, supply and demand activities of the works by Min Jong-tae, who was born in 1915, began his career in 1929 and devoted 70 years of his life creating najeonchil craft and furniture. As an apprentice under Jeon Sung-gyu, who revived the craft of najeonchil, Min Jong-tae was not only an artisan who ranked alongside Kim Bongryong, Song Juan, Shim Bugil, Kim Taehee, but also a businessman. In particular, Min led the boom of modern najeonchilgi during the 1970s-80s in Seoul, which was the most important market at that time. However, studies about Min Jong-tae are almost non-existence, despite his accomplishments. This study first describes how Min Jong-tae began the craft of najeonchil and early days of his career around the liberation period, then retraced his efforts in building a supply and demand system in the 1950s-60s. Moreover, this paper covers not only his creations of large-scale najeonchil furniture in the advent of an era of 'wardrobe culture' in the 1970s-80s, but also his exported pieces to Japan, including incense boxes and tea containers. In conclusion, this research derives the historical significance of Min Jong-tae's role as an artisan of najeonchil- designated as Seoul Intangible Cultural Heritage No. 14 in the field of craft.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.111-127
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• 2023

This study is a study on user perception of ChatGPT use. The goal of this study is to analyze the relationship between user policy expectations and user innovativeness on ChatGPT technology acceptance and intention to use using variables of TRA (Theory of Reasoned Action). The impact of policy expectations and user innovativeness on the intention to use by mediating usefulness and hedonic motivation, and the impact of subjective norms on the usefulness and intention to use were analyzed by dividing them into the MZ generation and the non-MZ generation. It was verified whether there was a moderating effect on the effect of age differences on usefulness by interacting with policy expectations. An online survey was conducted on 300 ChatGPT users using PLS (Partial Least Square) structural equations and SPSS Package, and statistical analysis was performed using PLS and SPSS. According to the analysis results, it was confirmed that the higher the initial user's innovativeness, the higher the intention to use ChatGPT. In addition, the moderating effect analysis comparing the differences between the MZ generation and the non-MZ generation showed that policy expectations had a negative effect on the usefulness of ChatGPT use.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.325-345
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• 2023

In the rapidly evolving domain of e-commerce, our study presents a cohesive approach to enhance customer satisfaction prediction from online reviews, aligning methodological innovation with practical insights. We integrate the RFE-SHAP feature selection with LDA topic modeling to streamline predictive analytics in e-commerce. This integration facilitates the identification of key features-specifically, narrowing down from an initial set of 28 to an optimal subset of 14 features for the Random Forest algorithm. Our approach strategically mitigates the common issue of overfitting in models with an excess of features, leading to an improved accuracy rate of 84% in our Random Forest model. Central to our analysis is the understanding that certain aspects in review content, such as quality, fit, and durability, play a pivotal role in influencing customer satisfaction, especially in the clothing sector. We delve into explaining how each of these selected features impacts customer satisfaction, providing a comprehensive view of the elements most appreciated by customers. Our research makes significant contributions in two key areas. First, it enhances predictive modeling within the realm of e-commerce analytics by introducing a streamlined, feature-centric approach. This refinement in methodology not only bolsters the accuracy of customer satisfaction predictions but also sets a new standard for handling feature selection in predictive models. Second, the study provides actionable insights for e-commerce platforms, especially those in the clothing sector. By highlighting which aspects of customer reviews-like quality, fit, and durability-most influence satisfaction, we offer a strategic direction for businesses to tailor their products and services.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.45-61
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• 2023

The start-up rate is increasing due to the government's start-up support policy, but it is true that the continuous survival rate and growth rate of companies are lower than that of the start-up rate. As part of increasing the survival and growth rate of startups, the importance of start-up mentoring has been highlighted, and companies selected for the Government's startup support project are increasingly having mentoring opportunities for corporate growth. In order to determine the relationship between start-up mentoring and entrepreneurial alertness as a way to generate management performance, this study examined how start-up mentoring affects entrepreneurial alertness and management performance. In addition, the government's support project was divided into companies with less than three years of start-up and companies with more than three years of experience, which are the criteria for early and leap companies, and analyzed whether each group has a moderating effect. As a result of the analysis, it was found that the mentoring problem-solving function had a significant effect on the ability to evaluate entrepreneurial alertness, and the motivation function of mentoring had a significant effect on all factors of entrepreneurial alertness. In addition, although mentoring functions did not have a moderating effect on entrepreneurial alertness depending on the work history between companies less than 3 years and companies for more than 3 years, there was a difference in factors affecting entrepreneurial alertness between groups with low and high work history. The implications of this study can contribute to the advancement of start-up mentoring programs by studying the impact of mentoring factors on entrepreneurial alertness when providing mentoring to start-up companies selected for the government's start-up support project.