Journal of Information and Knowledge Management

Spiritual Experience in Digital Interaction based on Insan-Centered Design

Fadzlin Ahmadon — 2025-04-01

This concept paper introduces Insan-Centered Design, a design approach that integrates Islamic ethics and values with human-centered design principles. It uniquely addresses both the physical and spiritual needs of users, reflecting the Islamic view of life as a temporary state with a focus on achieving peace in the afterlife. Central to Insan-Centered Design is the promotion of ihsan (excellence), and the adherence to Maqasid al-Shariah (objectives of Islamic law). The approach is further enriched by incorporating taqwa (God-consciousness), khalifah (stewardship) and the principle of amar ma'ruf nahi mungkar (enjoining good and forbidding evil) into digital interactions. This paper presents practical applications of Insan-Centered Design through scenarios such as mindful financial apps, Islamic navigation systems, and ethical online platforms, demonstrating how technology can align with Islamic values and ethical considerations. Insan-Centered Design thus emerges as a transformative approach, offering a fresh perspective in technology design by integrating Islamic values into technology and considering the lasting impact of our digital interactions.

Issues and Challenges on the Reinforcement of Good Governance at Malaysia’s Public Universities from Administrative Perspective

Mohammad Azuwadi Mohd Yasin — 2025-04-01

The dilemma of registrars, bursars, and librarians in fending off issues and challenges to reinforce the good governance of Malaysia's public universities is a critical concern that has significant implications for the overall performance. These key administrative personnel which are registrars, bursars, and librarians are responsible for ensuring the efficient and transparent management of the university's resources, policies, and operations, which are essential for maintaining good governance. Registrars, bursars, and librarians often find themselves at the forefront of navigating complex governance-related problems, such as financial mismanagement, lack of transparency, and conflicts of interest. The primary objective of this research paper was to analyze the issues and challenges of university administrators to enhance university good governance. This research paper applied in-depth interview with ten (10) valuable informants, and the informants were involved in the in-depth interview session included the former Chief Secretary to the Government of Malaysia, the former Vice-Chancellor, the former Director of the Department of Higher Education, the Deputy Vice-Chancellor, the former Registrar, the former President of the Council of the Association, the former Bursar, and the former Chief Librarian. The qualitative data analysis (thematic analysis) revealed several issues and challenges, including human factors, rapid policy changes, and financial constraints.

Artificial Intelligence in Cancer Screening: A Bibliometric Analysis of Advances in Early Detection Accuracy

Yudi Kurniawan Budi Susilo — 2025-04-01

Artificial intelligence (AI) has emerged as a transformative tool in cancer screening, offering significant improvements in early detection accuracy through advanced computational techniques such as machine learning and deep learning. This bibliometric analysis examines the global research landscape on AI in cancer screening, focusing on publication trends, influential contributors, thematic developments, and research gaps. Data was retrieved from Scopus, covering 8,793 records published between 2022 and 2024, with analysis spanning authorship, institutional contributions, source titles, and subject areas. The findings highlight a consistent growth in publications, peaking in 2024, with leading contributions from countries such as China, India, and the United States. Prominent institutions, including Princess Nourah Bint Abdulrahman University and the Ministry of Education of the People's Republic of China, have played pivotal roles in advancing the field. Keywords such as "machine learning," "deep learning," and "sensitivity and specificity" dominate the discourse, reflecting the focus on technological innovation and diagnostic accuracy. The subject areas of computer science, medicine, and engineering underscore the multidisciplinary nature of this research. Despite significant progress, critical gaps remain, particularly in addressing ethical challenges, ensuring dataset diversity, and expanding real-world implementation. This study emphasizes the importance of interdisciplinary collaboration and equitable integration of AI technologies into healthcare systems. The findings provide valuable insights for researchers, practitioners, and policymakers, highlighting future directions to maximize the impact of AI in revolutionizing cancer screening and improving patient outcomes globally.

Big Data Analytics Adoption in Malaysia Digital Status Companies: The Moderating Role of Training

Nur Khairiah Muhammad — 2025-04-01

This study investigates the factors influencing Big Data adoption and their impact on organizational performance within Malaysia Digital Status Companies, focusing on the Global Business Services (GBS) sector. Grounded by Technology-Organization-Environment (TOE) framework and Resource-Based View (RBV) theory, the study examines the role of data quality management, data security, ease of use, and top management support, along with the moderating effect of training on these relationships. Data were collected via an online survey, resulting 272 responses using a combination of simple random and convenience sampling. The hypotheses were tested using Partial Least Squares Structural Equation Modelling (PLS-SEM). From the analysis, four hypotheses were empirically supported, another four hypotheses were empirically not supported. This study provides insights into managing Big Data adoption challenges and advancing Malaysia's digital transformation.

The Interrelationship between Records Management and Big Data: Challenges, Opportunities, and Future Directions

Nor Sakila Asnawi — 2025-04-01

Big data has changed how organizations handle information, but it also brings challenges that need better management. This paper emphasizes that effective records management is crucial for making the most of big data. By providing clear guidelines for managing data, records management ensures data is accurate, reliable, and accessible, which helps in gaining valuable insights. Records management helps with organizing and preserving large amounts of data, covering everything from creation to storage. It also ensures compliance with regulations, reducing risks of data breaches and legal issues.The paper discusses how integrating strong records management practices into big data strategies can improve data quality and decision-making. Well-organized records make it easier to handle big data and use it effectively. By reviewing current research and real-world examples, the paper shows how records management is key to getting the best results from big data. It offers recommendations for combining records management with big data efforts to improve data governance, security, and usefulness

Development of a Cultural Heritage Digital Repository for the Ombilin Coal Mining Heritage of Sawahlunto

Muhammad Rosyihan Hendrawan — 2025-04-04

Digital change and access to information in various ways allow memory institutions like libraries, archives, and museums (LAMs) to adopt modern cultural heritage management ideas and methodologies to be more efficient and effective. Ombilin Coal Mining Heritage of Sawahlunto (OCMHS) LAMs may develop a digital repository for cultural heritage and implement convergence. OCMHS had LAMs until UNESCO inscribed it as a World Heritage Site in 2019. This research aims to develop a digital repository prototype based on free open-source software (FOSS). This study employs qualitative case studies. Study data was collected from observation, interviews, document analysis, and focus groups. The study findings demonstrate the development of a digital repository prototype named "Pusako Ombilin." However, significant development flaws remain. Optimizing LAMs' data integration, which is yet unconverted, is the next phase. Other than that, standardized guidebooks are needed. Based on the results, researchers propose that OCMHS develop "Pusako Ombilin" and create an easy-to-understand implementation guideline.

Dirichlet Multinomial Modelling Approaches in Analyzing Anxiety Therapy Messages

Teh Faradilla Abdul Rahman — 2025-04-01

Despite the effectiveness of anxiety therapy through text messages, limited research was found to analyse the topics included in the therapy session. It is also unclear of which topic modelling approaches is the best in extracting anxiety therapy topics from text messages. Thus, this study aims to compare the performance of four topic modelling methods, namely Latent Feature Di-richlet Multinomial Mixture (LFDMM), Gibbs Sampling Dirichlet Multinomi-al Mixture, Generalized Polya-urn Dirichlet Multinomial Mixture and Pois-son-based Dirichlet Multinomial Mixture Model on 28 text messages of anxi-ety-therapy. Four combinations of parameter settings were applied in the ex-periments to compare and decide the most suitable ones for future analysis. The performance of the topic modelling was evaluated using classification accuracy, clustering, and coherence scores. The findings shows that LFDMM has the best accuracy (34.10%) and clustering scores (0.5000, 0.4808) with combinations of hyperparameters α = 0.1 and β = 0.01 to infer more relevant topics.

Bibliotherapy Features in Children’s Literature: A Systematic Literature Review

Rafidah Abdul Aziz — 2025-04-01

Children's literature is a powerful tool in bibliotherapy, helping children navigate social and emotional challenges by connecting them with relatable characters and situations. This therapeutic method embraces diverse perspectives and relevant issues, encouraging the development of new values. The current study reviews literature on bibliotherapy features in children’s literature with the purposes of ascertaining the attributes and components of children's literature that may potentially facilitate emotional metamorphosis and bolster personal development. The review selected 33 English-language publications in the field of bibliotherapy and children’s literature from peer-reviewed journals indexed in the Web of Science, and Scopus. The major findings demonstrate that the effective bibliotherapy focus on key elements such as well-crafted characters, compelling plots, universal themes, and empathy, supported by high-quality writing and illustrations. Additionally, the process is highly personalized, taking into account readability and the child’s developmental stage. Overall, bibliotherapy provides a valuable approach for nurturing emotional and psychological growth, offering a safe space for children to explore and reflect through literature. Selecting appropriate literary materials is essential to maximizing its therapeutic impact. The results form the basis for several recommendations for future research for the further examination of bibliotherapy features for children literature.

Competency Need Assessment for Academic Teaching Librarians in Malaysian Higher Education

Mohd Razif Dzulkipli — 2025-04-01

Academic librarian works in academic library and perform task of developing information literacy and teaches in classes to educate higher learning institution’s stakeholder. The article is to assess the need of competency index for teaching librarian especially in academic libraries. This need assessment is a descriptive and exploratory research, was conducted to Chief Librarians and teaching librarians who serves public academic libraries. The objective of this analysis is to identify whether teaching librarian needs specific competencies to validate their practice of pedagogy in academic libraries. A preliminary study through descriptive research which involved sample size of 20 prominent library administrators and 20 teaching librarians from public universities in higher education. A set of 7-10 questions was sent through email to all public academic library’s Chief Librarians and teaching librarian. 95% of them responded to the questionnaire. The result shows that, 85% of the Chief Librarians agrees that teaching librarian need specific range of competence index so they can successfully perform the pedagogy practice.

Exploring the Innovation of Social Media Service Model in China’s University Libraries

Bingqiang Liu — 2025-04-01

Social media has been widely used in people's learning and life in today's society. Social media applications in university libraries have become a significant research hotspot in library science. The service model of Chinese university libraries has undergone four stages of change. With today's internet connectivity promotion, it is worth studying how Chinese university libraries can explore innovative new service models through social media. This paper uses the methods of literature survey, network survey, and data comparative analysis to select 11 university libraries in northern China as the research objects. Through the analysis of the functional data of their social media WeChat official account, we find that the development of social media in northern university libraries in China is uneven, and innovative functions and personalized services are lacking. It is suggested that Chinese university libraries should pay attention to innovation in information service functions, focus on user needs, expand functional innovation platforms, and explore the construction of new information service models.