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Tech-Enabled Flexible Work and Employee Productivity: The Role of Work–Life Balance and Islamic Work Ethic
No full textThe current literature acknowledges that digital transformation has fundamentally altered Human Resource Management (HRM) practices globally. However, the adaptation of these digital practices within the Islamic public sector, which faces unique structural and cultural dynamics,
remains underexplored. In Indonesia, Islamic Higher Education Institutions (PTKI) are currently navigating a "dual-disruption": a rapid technological shift necessitating flexible work arrangements (FWA) and the preservation of religious-bureaucratic traditions. This study investigates the effect of technology-based flexible working on employee productivity, with work-life balance as a mediating variable and the Islamic work ethic as a moderating variable. Employing a causal-correlational design and survey
methodology, the study sampled 440 lecturers and educational staff from Islamic Higher Education Institutions in Indonesia, selected through simple random sampling method. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS version
4.1.1.4. The results indicate that technology-based flexible work arrangements increase employee productivity but negatively affect work life balance. Work-life balance serves as a crucial mediator that bridges the relationship between flexibility and productivity. Additionally, the Islamic work ethic plays a dual role: it directly predicts work-life balance and moderates the relationship between work flexibility and balance, thereby strengthening this association. The findings imply that organizations must
do more than merely adopt technology; they must also safeguard work-life balance and internalize the Islamic work ethic to achieve sustainable productivity in the long run. The limitations of this study include its cross
sectional design and focus on the Islamic cultural context, suggesting that generalization to other sectors requires longitudinal and cross-cultural research
Nurturing Competence and Confidence through English for Juniors (E4J) Programme at SK Dato Mohd Musa
No full textPekeliling Pentadbiran Bil. 2 Tahun 2026: Carta Organisasi Universiti Malaysia Sarawak Tahun 2026
No full textThe Construction of an Interregional Input–Output Table for Sabah, Sarawak and Peninsular Malaysia: An Application to Government Expenditure
No full textThis study develops the 2015 Interregional Input–Output (IRIO) Table for Sabah, Sarawak, and Peninsular Malaysia to examine the structural characteristics and the impacts of government expenditure on output, income, and employment. The IRIO framework was developed using the non-survey RAS method, supported by national IO accounts and adjusted for regional differences. While data challenges included incomplete regional statistics, unpublished figures, and the need for aggregation from 120 to 30 sectors, the resulting framework provides a consistent and policy-relevant picture of Malaysia’s interregional economy. Results reveal the dominant role of Peninsular Malaysia in driving national output, while highlighting untapped growth potential in Sabah and Sarawak. Heterogeneous expenditure impacts reflect structural differences, with Peninsular Malaysia’s strong forward linkages contrasting with weaker linkages in East Malaysia. These findings contribute to both methodological
innovation and policy debates by demonstrating how non-survey techniques can be applied in data-constrained contexts, while also offering actionable insights for fiscal policy, regional development, and interregional integration
Assessing the impact of digital enablement on internal brand management in higher education institutions
No full textIn today’s competitive higher education landscape, developing a strong and consistent brand image that embraces digital enablement is crucial for improving employee brand relationships. Technological advancements, particularly digital, can significantly enhance an organization’s brand positioning. However, research on the role of digital enablement in employee brand relationship formation,
especially in higher education institutions (HEIs), is limited. This study, grounded in Social Exchange Theory, investigates the impact of internal brand management—
comprising communication, training, and leadership—on Employee Brand Relationship Quality (EBRQ) and examines the moderating role of digital enablement within HEIs. Utilizing a sample of 372 employees from HEIs in Pakistan and employing Smart PLS-SEM 4 for data analysis, the study reveals that only training and leadership significantly influence employee-university brand relationship quality, with digital enablement playing a significant moderating role. This highlights the importance of digital enablement in enhancing collaboration, human development, and
aligning employee perceptions and behaviors with the organization’s brand. The findings support institutional efforts aligned with the United Nations Sustainable
Development Goals, particularly SDG 4 (Quality Education) and SDG 8 (Decent Work and Economic Growth), by promoting digitally enabled and employeecentered brand development in higher education. This research offer a nuanced
understanding of the complex relationships between brand management and technological innovation from the internal customer perspective
Analyzing the environmental impact of the automobile industry in ASEAN nations
No full textAligned with Sustainable Development Goal 13, this study addresses rising carbon dioxide (CO2) emissions linked to the automobile industry’s expansion in ASEAN nations. Despite the automobile industry’s economic significance in ASEAN, its environmental implications have received limited attention. This study investigates the effects of economic growth, foreign direct investment (FDI), population growth, and vehicle production on CO2 emissions across Vietnam, the Philippines, Indonesia, Malaysia, and Thailand from 1999 to 2022. Using the IPAT model as the conceptual framework, the analysis applies Fully Modified Ordinary Least Squares, Dynamic Ordinary Least Squares, and the Panel ARDL approach to ensure robust estimation and examine long-run relationships. Findings reveal that economic growth, vehicle production, and FDI significantly drive CO2 emissions, while population growth shows a weaker effect. These results highlight the environmental cost of industrial and economic activities in the region. Policy recommendations urge ASEAN countries to promote sustainable transportation, invest in green technology, and regulate vehicle production to better align economic development with climate goals. The study acknowledges limitations, including the exclusion of renewable energy adoption and environmental regulation indices, and notes that findings may not be fully generalizable beyond ASEAN nations. Future research should expand the model to include broader environmental factors and conduct cross-regional comparisons. This study introduces vehicle production as a novel proxy to assess transportation-induced emissions, alongside economic growth, FDI, and population growth. The findings contribute insights to help ASEAN economies align industrial expansion with sustainability goals
AI-Powered Software Bug Tracking Tool
No full textMost information technology (IT) companies still rely on manual approaches to manage and track software bugs during testing sessions. This traditional method is time-consuming, error-prone, and lacks efficiency particularly in large or complex software projects. To address these challenges, this paper proposes an artificial intelligence AI-powered Software Bug Tracking Tool designed to streamline the process of reporting, tracking, categorizing, and prioritizing bugs. By leveraging Artificial Intelligence (AI) technologies, including machine learning, the system can automatically classify bugs based on their severity, providing valuable insights for better decision-making. Additionally, the system employs unsupervised learning techniques to detect patterns and relationships among bugs. An OpenAI GPT-4o model, accessed via the Azure OpenAI Service, is integrated into the system to automatically generate summaries of bug reports, helping team quickly understand the key details. A user-friendly design is also provided to support collaboration between developers and testers, reducing the learning curve and improving overall software quality. For bug severity detection, the F1-score is 0.64 when detection Critical bugs; an indicator that the approach might be useful. Similarity bug detection is more challenging because the similarity scores might not necessarily reflect the bug similarity. Test case summarization is based on the OpenAI API. The implementation of this system aims to enhance team productivity, ensure comprehensive bug tracking, and align with modern software development practices. Based on the usability testing with 10 participants, including software expert from various background such as software testers and developers, the duplicate detection and bug summarization features are particularly useful, to streamline the bug tracking process and improve the understanding of reported issues. However, the bug severity prediction feature produced unexpected classifications in certain cases, indicating the need for additional training data and the potential future works to enable the model to continuously improve over tim
How Regional Employment Density Shapes Sustainable Manufacturing Performance: A Multidimensional Spatial Analysis
No full textThis study investigates the spatial effects of employment density on the economic, technological, and carbon efficiency of China’s manufacturing sector, using panel data from 30 provinces from 2008 to 2022. A multidimensional performance framework and spatial econometric models are employed to identify both direct impacts and spatial spillovers. The results show that employment density significantly enhances local economic performance while imposing negative spillover effects on neighbouring regions. Technological performance exhibits uneven spatial returns, indicating a “technology siphoning” effect in more agglomerated provinces. Carbon efficiency presents a divergent pattern of “local improvement but neighboring deterioration,” highlighting cross-regional ecological ex
ternalities. In addition, human capital, capital investment, and regional policy intensity are found to regulate the strength and direction of spatial spillovers across the three performance dimensions. Based on these findings, this study recommends optimizing the spatial layout of manufacturing and population, strengthening interregional innovation collaboration, promoting green transformation, and improving the quality of human capital. These policy implications provide empirical support for advancing sustainable manufacturing development and enhancing regional governance capacity
Implementation research in Primary Care (Part 2): How to conduct implementation research?
No full textThis paper is the second paper on implementation research in primary care. This paper outlines key processes for conducting implementation research, emphasizing the importance of selecting relevant theories, models, and frameworks to guide each stage. Three core steps common for implementation research were described: identifying determinants that influence implementation, mapping appropriate strategies to address these determinants, and evaluating implementation outcomes. Determinant frameworks such as the Consolidated Framework for Implementation Research and the Theoretical Domains Framework help researchers understand contextual barriers and facilitators, while resources like the ERIC taxonomy and Behaviour Change Technique Taxonomy support strategy selection. Evaluation frameworks, including Proctor’s implementation outcomes and RE-AIM, enable systematic assessment of implementation success. This paper also highlights the essential role of stakeholder engagement throughout the research process. Together, these components offer a structured, theory-informed approach to support effective, scalable, and sustainable implementation efforts in primary care