- P-ISSN1013-0799
- E-ISSN2586-2073
- KCI
Vol.42 No.1
Abstract
This study explores the structural characteristics of social networks among researchers at national policy research institutes and analyzes the impact of social capital within researcher groups on research outcomes from a network perspective. The study’s subjects are researchers affiliated with A national policy research institute. Initially, 30 researchers were selected based on the collaboration network, and the friendship and the information exchange network were designed using the same 30 nodes. Data were collected through surveys for the friendship and the information exchange network, and through document records for the collaboration network. Social network analysis techniques were employed for analysis. A comparison of the structural characteristics of the friendship, the information exchange, and the collaboration network reveals that the members of the friendship and the information exchange network are similar, while the collaboration network differs from them. Notably, in terms of cohesion, the average network density of the friendship network is the highest, demonstrating the strongest cohesiveness. Analysis of the influence among the three networks indicates the presence of both correlation and causality between each network pair. Furthermore, examining the effect of each network’s characteristics on the research performance of researcher groups reveals that the degree of connectivity in the friendship and the collaboration network, as well as the strength of ties in the collaboration network, have a positive influence on improving research outcomes.
Abstract
The purpose of this study is to investigate cases of LLM-based interactive AI-based academic information services, which have been widely used recently, to find out the current status and possibility of using AI technology, and to suggest more advanced interactive AI academic information service strategies in the future. In order to achieve the purpose of the study, cases of interactive AI academic information services provided overseas and domestically along with major literature studies were investigated and analyzed, and major examples include Scispace, Elicit, Scopus AI, Dimensions Research GPT, and Writefull, comparing the core functions and differences of each service. As a result of the analysis, we proposed a user-friendly interface, reliable data-based information, personalized services tailored to the user context, academic data creation support, collaboration, network expansion, and data visualization and analysis functions as strategies to implement successful interactive AI academic information services.
Abstract
This study explores the social aspects of task-based information seeking behavior by applying the theory of cognitive sociology. Specifically, it examines the influence of the social context of individual tasks on information seeking behavior by utilizing key concepts of cognitive sociology, such as thought communities and sociomental acts. In this study, academic disciplines were selected as the types of thought communities. A comparative analysis was conducted between two groups chosen -six from the humanities and six from the natural sciences- focusing on their individual understanding and actions regarding a specific type of common task in academics, research proposal writing. As a qualitative study, data collection was conducted through in-depth interviews, supplemented by a diary study. The results indicate that the social norms and practices of thought communities influence the cognitive activities and information behavior that occur during task performance. Based on these findings, the study reveals the existence of a socio-cognitive domain in information seeking behavior. This study enhances the understanding of the cognitive sociological aspects of information seeking behavior and can serve as a foundational resource for the development of information services and systems tailored to professionals and sociocultural groups.
Abstract
This study attempted to investigate the perception of public kindergarten teachers’ utilization of school libraries and to suggest a plan to promote the utilization of school libraries according to Kindergarten and Elementary education. To this end, a survey was conducted on 191 teachers in public kindergartens. As a result of the analysis, the majority of teachers in public kindergartens recognized that the necessity of using school libraries according to Kindergarten and Elementary education was necessary. As for the number of wishes to use the school library, attached kindergartens preferred more than 1-3 times per semester, and independent kindergartens preferred more than 1-3 times per month, and there was a statistically significant difference. The overall demand for teachers in public kindergartens by school library education service was high. In particular, reading education showed the highest demand and information-based education was the lowest.
Abstract
Public libraries have played diverse roles by the flow of time and history. However, changes in the environment surrounding libraries are weakening their foundation for existence. In this context, we propose looking at the library service experience from a ‘brand image’ perspective to change the library’s perception. This study aims to examine the influence of service experience on the symbolic image of the library and the mediating effects of functional and experiential images. To achieve this, surveys were conducted at 17 public and small libraries in Seoul, and 393 questionnaire replies were collected. Multiple regression analysis and bootstrap test were performed to confirm the influence relationship and mediating effect between variables. As a result of the study, it was found that the service experience had a positive effect on the symbolic image of the library. The mediating effect of functional and experiential images was confirmed between service experience and symbolic images, and most of the mediating effects exhibit a full mediation pattern. This indicates that looking at the library service experience from the perspective of functional and experiential images is necessary to change the symbolic image. This study is meaningful in that it examines the influence of service experience on symbolic images while proposing the necessity of a functional and experiential image perspective to change the sociocultural view of libraries positively.
Abstract
The purpose of this study is to identify the factors influencing middle school students’ reading behavior by applying various machine learning methods and to determine which method yields the best performance. Using data from the 2018 Korean Child and Youth Panel Survey, students who read more than one hour per weekday were classified as the reading group, while those who did not read at all were classified as the non-reading group. Seven machine learning methods-logistic regression, decision tree, random forest, adaptive LASSO, SVM, gradient boosting, and kNN-were then applied for comparative analysis. The analysis shows that random forest and gradient boosting achieved the highest predictive accuracy, indicating that ensemble methods can effectively capture nonlinear patterns and distinguish reading behavior more precisely. According to the partial dependence plots, academic engagement, relationships with peers and teachers, smartphone dependence, and self-esteem were significant variables in determining whether students read. While stronger academic engagement and higher self-esteem increased the likelihood of reading, academic helplessness, and excessive smartphone use impeded it. This study is significant in that it provides detailed factors necessary for designing effective reading promotion policies. In particular, it underscores the need for a multifaceted approach that integrates academic motivation strategies, peer and teacher support, and media utilization education.
Abstract
Deepfake technology, which utilizes artificial intelligence and deep learning to manipulate images, audio, and video, poses significant societal risks, including political propaganda, financial fraud, and public opinion manipulation. However, South Korea’s current response primarily focuses on preventing digital sex crimes and election interference, lacking comprehensive measures such as platform accountability, the application of artificial intelligence detection technology, and media literacy education. Therefore, this study examines and evaluates the legal, technical, and social responses of the United States, the European Union, and the United Kingdom to provide policy insights for South Korea. The findings indicate that major countries impose obligations on platform operators to detect and remove deepfake content while employing artificial intelligence-based verification technologies to prevent the spread of disinformation. In contrast, South Korea’s approach relies on fragmented regulations, highlighting the need to establish a more comprehensive legal framework and implement artificial intelligence detection technologies. Based on these findings, this study suggests clarifying platform accountability, strengthening artificial intelligence detection technologies through legal and institutional support, expanding media literacy education, and developing a citizen-driven disinformation monitoring system. This study provides policy recommendations for South Korea to effectively combat the spread of deepfake-based disinformation and establish a trustworthy digital information environment.
Abstract
Memes are effective information resources for literacy education required in a digital technology-based information environment. The purpose of this study is to derive the main meme types in South Korea according to sociocultural context and to provide basic data for literacy education. To this end, two research questions were addressed. First, what are the different ways to classify memes? Second, how are South Korean memes categorized? This study derived the classification types of memes through a literature review and analyzed 830 South Korean memes from Namuwiki, a South Korean subcultural wiki site. The analysis methods used were frequency analysis, chi-squared test, and network analysis. The results are as follows. First, memes are classified by medium, origin, unethical label, subject, and time period of occurrence. Second, South Korean memes are categorized into 4 main types: Language memes produced through everyday communication in online communities and social media in the 2010s; Complex memes for a play culture based on new media contents in the 2020s; Visual memes of South Korean internet culture in the early 2020s; Parody memes of legacy media.
Abstract
School education should shift from merely transmitting existing knowledge to supporting students in adapting to new societal challenges as they transition into adulthood. This study aims to examine the impact of school library experiences on students’ lifelong learning competencies. Additionally, it explores Parental Nurturing Attitudes that may enhance lifelong learning competencies and tests their moderating effects. A survey was conducted among first—and second-year high school students from four schools. Factor analysis and conceptualization were performed, followed by multiple regression analysis. The results revealed that school library experiences significantly impact students’ overall lifelong learning competencies, with Parental Nurturing Attitudes also playing a notable moderating role. Based on these findings, the study highlights the need for close collaboration among schools, school libraries, and families to enhance lifelong learning competencies. It emphasizes the importance of school libraries in providing students with diverse learning experiences.
Abstract
The purpose of this study is to analyze the status of research collaboration in infectious diseases. In order to achieve this purpose, bibliographic data of research papers related to SFTS, Influenza, and Dengue, published between 2019 and 2023, were collected from Web of Science. These data were cleansed and analyzed for statistics. Furthermore, co-authorship network analysis was performed at the levels of author, institution, and country. As a result of the analysis, the small-world phenomenon was observed in the co-authorship network of these infectious diseases. Moreover, structural differences in research collaboration were identified among these infectious diseases, along with the central actors. In the SFTS, a collaborative structure centered on China, Japan, and Korea emerged, but international collaboration was relatively limited. In Influenza, active international collaboration was observed, centering on the United States, and multinational research collaboration was particularly notable. In Dengue, a collaborative structure centered on the United States, United Kingdom, and Brazil was identified, with strong collaborative ties within tropical and subtropical regions. Finally, the result of this study is expected to be used for establishing policies to respond to infectious diseases in the future.
Abstract
This study investigated the effect of subjective task value and information problems on information needs and the perception of information sources. Task value was based on expectancy-value theory, a concept commonly used in education. A survey was conducted with 284 high school students from six schools who, as information users, had experienced information problems during various intellectual growth processes. The results showed that both task value and information problems significantly affected information needs and the perception of information sources used for learning and task performance. Specifically, while task value and information problems influenced the students’ perception of preferred sources, the characteristics of information need significantly mediated this causal relationship. This study provides valuable and practical information for school library planning and policy, potentially leading to the establishment of improved information services.
Abstract
The purpose of this study is to examine the current status of research data services in medical libraries and to investigate librarians’ awareness of research data services and competencies. The research methods used for this study include literature review, current status survey, and survey. First, a literature review was conducted to understand the concept, contents, and current status of research data services and to identify the changing research data service environment. Second, a current status survey was conducted on the websites of 52 domestic medical libraries and 16 international medical libraries to identify the current status, concepts, elements, and competencies of research data services. Finally, a survey was conducted on librarians in domestic medical libraries to study their awareness of research data services and competencies. Through this, it is suggested that not only improving librarians’ awareness but also providing opportunities to enhance their competencies, improving work environments, and supplementing personnel are necessary for the provision of research data services in medical libraries.
Abstract
Scientific publications sometimes have intentional or unintentional flaws such as plagiarism, conflict of interest, and data issues. These issues can affect scientific progress, and previous studies identified the reason for the retraction and distribution of papers in science, technology, engineering, and mathematics (STEM) fields. In this study, we conducted a bibliometric analysis for retracted papers in social sciences included in SSCI in WoS. The results of the analysis showed that the fields of psychology contained the most retracted articles. We identified the reasons for retraction and found that data issues and plagiarism accounted for about 70% of the retracted papers. Retractions were issued by editor and publisher (22%), followed by editor (20%) and authors (19%). Among the 54 countries based on corresponding authors, 25% of the authors were from the United States, followed by the Netherlands 11%, and China 10%, respectively. This study broadens the understanding of retractions in social science academic literature and discovers the causes of publication retractions. Therefore, it can be used as basic research for the development of the academic ecosystem.
Abstract
This study analyzes the translation trends in German literary works translated into Korean by applying bibliometric methods to data from the Bibliographic Database of German Literary Translations. Unlike previous studies focusing on qualitative analysis, this study employs various bibliometric techniques, including frequency analysis, trend inflection point analysis, source author (original work author) diversity analysis, translation h-index, and translation growth index, to systematically examine major tendencies and shifts in translation. The analysis reveals that translations increased steadily after the Korean War but experienced a temporary stagnation from the late 1990s to the early 2000s. A major shift in translated authors occurred around 2000, while author diversity has declined since the 1980s. Franz Kafka and Hermann Hesse were the most influential German literary figures in Korea based on translation frequency and h-index. Additionally, the translation growth index and the number of translations identified not only authors whose works have been consistently translated but also those who have gained momentum in recent years. This bibliometric approach aligns with the concept of “distant reading,” contributing to a macro-level perspective on translation dynamics. This study examines the feasibility of establishing translation history bibliometrics and is expected to contribute to opening new horizons for future research in translation studies.
Abstract
Given the reality of domestic universities with an increasing proportion of international students, this study explored library service quality (Affect of service, Information control, and Library as place) as factors affecting library satisfaction and university recommendation intention among Chinese international students. In addition, we attempted to explore the moderating effect of language proficiency on the relationship between library service quality and library satisfaction. Analyzing survey data from 126 Chinese international students, the results indicated that the perceived quality of place about university libraries had a significant effect on library satisfaction and university recommendation intention, and language proficiency had a significant moderation effect on library service quality and satisfaction. Our findings not only have academic implications in that it is the first to explore the quality of university libraries as an antecedent factor that can significantly impact university recommendation intention but also have practical implications in that they explore ways to improve university evaluation and reputation in terms of libraries.
Abstract
Libraries are actively responding to unpredictable external changes to meet user demands while creating social value within the knowledge ecosystem and securing their position as information providers. This study views libraries’ adaptation strategies to environmental changes through dynamic capabilities and analyzes the impact of environmental uncertainty on these capabilities. To achieve this, a survey was conducted among 539 librarians from national, public, academic, and specialized libraries to examine their perceptions of environmental uncertainty and dynamic capabilities. Differences were analyzed based on position, career, and type, and key environmental uncertainty factors influencing dynamic capabilities were identified. The results indicate that librarians perceive external environmental changes in the order of complexity, dynamism, and abundance. Similarly, they assessed libraries’ dynamic capabilities in the order of environmental change sensing capability, organizational transformation capability, and organizational responsiveness capability. A multiple regression analysis revealed that munificence is the key factor influencing libraries’ dynamic capabilities. In other words, libraries responded appropriately when external resources were diverse and abundant. In the library environment, dynamism and complexity have not yet directly influenced dynamic capabilities. However, in order to strategically respond to change, librarians must comprehensively understand the evolving society and user demands.
Abstract
Public libraries are expanding community information services to meet the diverse needs of local residents for everyday and practical information and to resolve social inclusion, etc. for the development of local communities. This study considers the ultimate goal of community information services of public libraries to be the Sustainable Development Goals (SDGs) presented by the UN and proposes community information service areas that public libraries should provide as a priority from the perspective of the SDGs. To this end, this study analyzed the perceptions of 401 public library librarians to select 7 core SDGs and derived 23 major community information service areas based on these. Then, the importance of the 23 areas was analyzed through pairwise comparison by a group of experts, and the priorities of the major community information service areas were proposed. As a result, the services that should be provided with the highest priority were specialized services for underprivileged areas and classes, reading and literacy education, provision of health information, and health education. Based on this analysis, a development strategy for enhancing the community information services of public libraries was proposed to achieve a sustainable society and SDGs for future generations.
Abstract
Generative AI tools have recently gained significant attention as a key technology for enhancing researchers’ work efficiency in science and technology. However, there is a lack of empirical research in Korea regarding researchers’ intention to use these tools. Therefore, this study, based on the Unified Theory of Acceptance and Use of Technology (UTAUT), analyzed the influence of both generative AI tool characteristics and user characteristics on intention to use. It also examined the mediating role of performance expectancy. The study focused on science and technology researchers with experience using generative AI tools. An online survey of 246 participants revealed that generative AI tool characteristics positively influenced the intention to use. Similarly, the user characteristics of AI literacy and personal innovativeness also had a significant positive effect on intention to use. Among the influencing factors, effort expectancy did not significantly affect intention to use, while performance expectancy, social influence, and facilitating conditions did. Furthermore, performance expectancy fully mediated the relationship between intention to use and personalization, interactivity, and AI literacy. This study’s significance lies in its empirical examination of the factors determining Korean science and technology researchers’ intention to use generative AI tools, providing valuable implications for promoting their adoption. The findings can be used as a foundation for improving research support for science and technology researchers and bolstering the development of generative AI research tools.