International Journal of Knowledge Content Development & Technology (IJKCDT)
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A Study on the Development of a Classification System for Industry-Academia-Research Cooperation Information
Get PDFPurpose: This study aims to develop a systematic classification system for efficiently managing and utilizing information related to industry-academia-research cooperation, addressing the gaps in structured data management.
Methodology: The study employs literature review, case studies, expert interviews (FGI), and integrated analysis. A hierarchical decimal coding system was designed to ensure logical organization and accessibility of data.
Findings: The proposed classification system comprises six major categories—organization, infrastructure, workforce development, entrepreneurship and employment, research and development, and commercialization—enhancing data usability, ㅊ, and policy support.
Implication: This study provides a foundational framework for managing industry-academia-research cooperation information, contributing to ecosystem sustainability. Future work should focus on governance policies for data protection, quality control, and institutional accountability
The Multidimensional Evolution of Literacy and Its Social Role: An Empirical Study Through Network Analysis
Get PDFPurpose: The purpose of this study is to empirically investigate the multidimensional transformation of literacy as a core competency adapting to the digital environment in contemporary society and to propose directions for improving literacy policies and educational programs.
Methodology: Using social big data collected from Naver and Daum between 2021 and 2024, the study employed text mining, network analysis, CONCOR analysis, QAP regression, and topic modeling. Key keywords were identified through word frequency and TF-IDF analysis, while N-gram analysis and network visualization were used to examine the relationships between major topics.
Findings: The analysis revealed that digital literacy, media literacy, and data literacy emerged as core themes, and their networks demonstrated statistically significant structural patterns. QAP regression analysis confirmed that the literacy-related network exhibited clear patterns compared to a random network, and CONCOR analysis indicated that major topics were closely interconnected.
Implication: This study highlights the importance of literacy as a critical competency for enhancing information utilization and critical thinking in the digital era. It suggests a need for integrated approaches in policy formulation and educational program development. Furthermore, it emphasizes the significance of providing tailored literacy education in collaboration with local communities and implementing policy support to reduce information inequality
Personality Traits, Demographic Factors and Knowledge-sharing Practices of Academics in University of Ilorin, Nigeria
Get PDFThe present study investigates personality traits, demographic factors and knowledge-sharing practices of academics in the University of Ilorin, Nigeria. Based on quantitative design, this study employs survey research method. The empirical data consisted of 181 responses from the academic staff of the University of Ilorin, Nigeria. Findings revealed that there was a significant relationship between the Big Five personality traits of conscientiousness, neuroticism, extraversion, agreeableness and knowledge-sharing practices of the respondents. Also, designation has a positive relationship with knowledge- sharing practices However, there was no relationship between openness to experience and knowledge-sharing practices of the respondents. One possible limitation is that data was collected from only one university. Besides, the study could not include private universities that are also a significant part of university education in Nigeria. Hence, if more universities (private and public) were taken into consideration to collect data, the results might be different. Therefore, usual cautions overgeneralising findings from this sample, to populations for which it is not strictly representative apply. From a practical perspective, human resource managers, university administrators and policymakers in the education sector should take into consideration personality traits when recruiting graduates into the teaching cadre to ensure candidates with diverse range of skills and attributes that will promote knowledge-sharing practices are hired. The findings highlight personality traits that contributes to knowledge-sharing practices of academics from a developing country’s perspective thereby enriching personality cum knowledge sharing literature in general and Library and Information Science in particular. The social implication is that university administrators and policy makers in the public universities could improve on the recruitment procedures of employees and new graduates to fit into career jobs and to ensure a diverse range of skills and attributes in the university settings as well as carrying out various organisational activities and to promote knowledge-sharing practices among lecturers. The study highlights the significant personality traits and demographic factor contributing towards knowledge-sharing practices of academics in a public university setting
Enhancing the Precision of Machine Learning in the Library Profession
Get PDFMachine learning has emerged as a transformative technology with the potential to revolutionize library services by enhancing precision and efficiency in various operational aspects. This study explores into the significance of machine learning in libraries, exploring its applications, challenges, and opportunities for optimization. The integration of machine learning algorithms enables libraries to streamline resource management, personalize user experiences, and automate tasks to meet evolving user demands. However, implementing machine learning in library operations poses challenges related to data collection, pre-processing, and ethical considerations. Strategies for enhancing precision through data labelling, annotation, and improving recommendation systems using machine learning are essential for maximizing the impact of these technologies. Evaluating the performance of machine learning models in library settings is crucial for assessing their effectiveness and ensuring reliable outcomes. Furthermore, ethical considerations must be prioritized to safeguard user privacy and mitigate algorithmic biases. Looking ahead, future trends and opportunities for machine learning in libraries hold promise for advancing service delivery, promoting innovation, and creating more user-centric library experiences
A Survey of Open Access Institutional Repositories in Nigerian University Libraries: The Current State
Get PDFThe purpose of the study is to investigate the development of institutional repositories in university libraries in Nigeria. The study adopted a survey research design. Online questionnaire, IRs investigation, and interview methods were used to collect data from the 21 university libraries that have developed IRs in Nigeria. The study revealed that only few universities have successfully developed open access IRs to preserve and manage their intellectual outputs emanating from their universities. Contents such as journal articles, theses/dissertations, and conference / workshop papers were found to be the most popular contents that are hosted in the IRs. The interview revealed that although few respondents mentioned having IR policy statements in areas such as access policy, submission policy, preservation policy, content policy and copyright policy, the majority mentioned not having any defined policy in their IR. Also in the interview, inadequate fund, challenge of collecting contents for the IR, shortage of skilled ICT personnel, and inadequate facilities were the most mentioned challenges encountered in the development of IRs in Nigeria. Findings from this study will inform University Librarians, university management and policy makers on the need to provide the necessary infrastructure and formulate policies for smooth development of institutional repositories to make research visible globally. The results will therefore provide important data and insight into the development of institutional repositories in university libraries in the context of developing countries
Optimizing Innovative Tools for Dissemination of Information in Nigerian Academic Libraries During Post-COVID Era
Get PDFIn order to support the mission of the institution in which they are attached, academic libraries provide services in both manual and digital but COVID -19 pandemic that spanned between March and September, 2020 has changed the scenario. With particular reference to Nigeria, about 249,606 cases were confirmed and in order to curb the scourge of this deadly disease, physical academic activities were prevented by Nigeria Centre for Disease Control (NCDC). With this development, innovative tools became indispensable tools for successful delivery of library services in Nigerian academic libraries. Whether or not these tools are still in use for reformation of library service during post- Covid era remains unclear, hence, need for this study. This study examined librarians’ use of innovative tools for information dissemination in Nigerian academic libraries during the post-Covid era using a descriptive survey design. Data were obtained both in quantitative and qualitative formats from one hundred and forty-four librarians as respondents. A total enumeration sampling technique was adopted because the population was minimal. Findings of the study revealed that innovative tools such as videoconferencing, WhatsApp, teleconferencing, Facebook, LinkedIn, and web-based learning applications are still in use by librarians for the dissemination of information during the post-Covid era. These tools are useful and beneficial to librarians during the post-COVID era, as they facilitate easy participation and engagement of library users in various discussions. Inadequate funding and lack of advanced technology skills were also identified as major impediments to the successful use of innovative tools for information dissemination. As a result, it was suggested that academic libraries throughout Nigeria prioritize staff training on the necessary digital skills needed to cope in this advanced technology era
Impact of Knowledge Creation and Sharing on Knowledge Use Among Librarians in Federal Universities in Nigeria
Get PDFThis paper aims to determine the impact of knowledge creation and sharing on use by librarians in federal universities in Nigeria. The study adopted the survey method of the correlation type, where 518 librarians were surveyed through a close-ended questionnaire, descriptive statistics, Pearson Product Moment Correlation coefficient and multiple regression were used to test the hypotheses. Findings indicate that significant relationships exist between knowledge creation and knowledge sharing (r=0.52), knowledge sharing and knowledge use (r=0.63) and knowledge creation and knowledge use (r=0.52), respectively. Knowledge created and shared by the librarians is used for better work performance. The paper adds value to the existing body of knowledge by proposing the need to understand the importance of knowledge creation and sharing as facilitators of knowledge use by librarians. This will, in turn, enhance service delivery to library patrons, thereby improving library patronage. This paper is limited to knowledge creation and sharing and its impact on knowledge use. Types of knowledge created and channels through which knowledge is shared are outside the focus of this article
A Study on the Operation of Librarian Learning Communities and Competency Improvement
Get PDFIn this study, we collaborated with the National Library of Korea’s Library Education Institute to pilot the operation of a librarian learning community and aimed to measure its effectiveness based on the improvement of librarian competencies. A total of 28 participants attended four programs, and the research results are as follows: First, when analyzing competencies in terms of community capacity, attitude competency was the highest, followed by knowledge and skills competencies in that order. The correlation analysis among competencies showed that there were mutual correlations among the three competencies. Second, in the pre-post analysis of the three competencies and their sub-competencies, it was found that all competencies, including sub-competencies, improved. Based on the research results, it was confirmed that through the operation of the librarian learning community, the average competencies of librarians can be improved, which can directly impact the enhancement of the library’s service capabilities. Therefore, it is believed that there is a need to activate the operation of librarian learning communities and explore nationwide dissemination strategies for the operating model
A Study on Defining Communicative Characteristics of Public Libraries
Get PDFThis study intended to discover the communicative characteristics of libraries, such as locality, communality, interactivity, and organic vitality, and measure as to whether the components constituting them were appropriate, and based on the research results, it was intended to establish the role of public libraries based on communicative characteristics. As a result of the study, it finally turned out that the libraries had the four communicative characteristics of 'locality', 'communality', 'interactivity', and 'organic vitality'. The four communicative characteristics may be classified into 16 factors and 63 detailed factors accordingly. Examining the characteristics of library communication, first, locality means that local residents create and maintain the identity of a social, historical, and cultural locality while sharing the space of a library. In the library, the users can receive local life information or create a cultural identity of the locality through communication between the users. Second, communality is a fundamental factor in forming a community of local residents and represents the characteristics of a group formed based on place and geographical characteristics, culture and belief system, and interests. Third, interactivity refers to a kind of behavior in which users interact with other users, information providers, and books and information in the library to give and receive influence. The actions in which two or more objects share knowledge, thoughts, emotions, and opinions may be seen as being accomplished through interaction. Lastly, organic vitality means seeking the continuous maintenance and development of the community, and creating a lasting characteristic even in the changing environment of the library
Unlocking Digital Transformation: The Pivotal Role of Data Analytics and Business Intelligence Strategies
Get PDFThis article aims to comprehensively analyze the crucial role played by data analytics and business intelligence (BI) strategies in propelling digital transformation within diverse industries. Through an extensive literature review and examination of real-world case studies, the study employs a systematic analysis of scholarly works and industry reports. This approach provides a panoramic view of how organizations utilize data-driven insights for competitive advantages, improved customer experiences, and fostering innovation. The findings underscore the pivotal significance of data analytics and BI strategies in influencing strategic decision-making, enhancing operational efficiency, and ensuring long-term sustainability across various industries. The study stands out in its originality by offering a unique synthesis of insights derived from scholarly works and real-world case studies, contributing to a holistic understanding of the transformative impact of data analytics and BI on contemporary business practices. While the study provides valuable insights, limitations include the scope of available literature and case studies. The implications call for further research to explore emerging trends and evolving challenges in the dynamic landscape of data analytics and BI. The practical implications highlight the tangible benefits organizations can derive from integrating data analytics and BI strategies, emphasizing their role in shaping strategic decisions and fostering operational efficiency. In a broader context, the study delves into the social implications of the symbiotic relationship between data analytics, BI, and digital transformation. It explores how these strategies impact broader societal and economic aspects, influencing innovation and sustainability