American Journal of Data, Information and Knowledge Management
American Journal of Data, Information and Knowledge Management is an open access journal hosted by AJPO Journals USA LLC. The journal has an International Standard Serial Number (ISSN) of 2789-3146. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Its indexed in google scholar, Crossref (DOI), Ebscohost, Research Gate among others.
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Information Technology Capabilities in Nepalese Private School
Purpose: The study highlights the need of Nepalese private schools to develop the capabilities of information communication technology in their organization to acquire, analyze and use of the data. This study aims to examine relationship between IT infrastructure capabilities, IT human resource capabilities and IT capabilities of Nepalese private schools. Materials and Methods: The research design employed in this study is a combination of qualitative and quantitative approaches. A structured questionnaire survey was used to collect necessary information from four hundred private schools of Bagamati, Gandaki and Lumbini provinces of Nepal who independently involved in this study. Unit of information were principals, coordinators and administrative staff. Structural equation modeling was used to examine the relationship between IT infrastructure, IT human resource and IT capabilities. Descriptive statistics were used to analyze IT infrastructure and challenges faced by Nepalese private schools to exploit their IT capabilities. Findings: The findings of the study revealed that IT infrastructure capacity and IT human resource capacity have positive relationship with IT capabilities of Nepalese private schools. Nepalese private schools have sufficient IT infrastructure. Majority of Nepalese private schools are poor in IT Human Resource Capability. lack of skilled human resource, high operation cost, delay on repair, ignorance of stakeholders and misuse of IT Infrastructure by their employee are the challenges faced by Nepalese private schools to utilize their IT capabilities. Implications to Theory, Practice and Policy: Resource base view and enterprises resource planning are the basic theories which governs the information technology. Information technology can enhance the competitiveness of educational institutions and informed decision is a key for success. Technological literacy among the school leaders and user-friendly IT software should be the concern of practitioners. Policy makers should encourage to exploit IT capabilities through training, tax rebate of IT equipment and digitalization on education system.
Copyright (c) 2026 Shiva Prasad Nepal, Rohit Raj Pandey https://creativecommons.org/licenses/by/4.0
The Changing Cognitive Role of Product Managers in the Age of AI: Why Human Judgment Alone Is No Longer Sufficient
Purpose: As the environments in which products operate become ever more data-rich, dynamic, and interconnected, PMs must balance customer telemetry, experimentation, and market intelligence with stakeholder requirements, making decisions that are critical and time-sensitive at the same time. Using bounded rationality and cognitive theory, this study investigates the evolving PM role from individual sense-making to managing human-AI systems for decision-making. This study posits that the adoption of AI technology is no longer merely an enabler of efficiency gains but a cognitive necessity for effective decision-making, considering the detrimental effects of information overload on decision-making performance and well-being (Arnold et al., 2023). Materials and Methods: The research design is based on a descriptive and explanatory research model that integrates literature from decision theory, cognitive science, and knowledge management with survey data from practicing product managers in technology-driven organizations (n=174). The key areas of focus in the research include the cognitive load, decision fatigue, prioritization, speed of execution, and the use of AI-based decision support. Findings: The results reveal that Product managers (PMs) who lack AI-based decision support systems are likely to experience cognitive overload, decision fatigue, unclear prioritization, and slower execution cycles. Conversely, using AI-based systems can lead to better information triage, improved pattern detection, and increased confidence in trade-off decisions. In line with previous research on human-AI collaboration, the results reveal that task-type and design-based effects of using AI-based systems can lead to coordination losses when poorly designed (Vaccaro et al., 2024). Implications to Theory, Practice, and Policy: The study contributes to the development of the theory of bounded rationality by placing artificial intelligence as a cognitive augmentation layer in product decision systems, rather than replacing human judgment. In practice, this means that the study reframes artificial intelligence literacy, evaluation discipline, and decision support design as core competencies of Product Management. The policy implication of this study is to place artificial intelligence decision support within product governance structures, ensuring transparency, bias mitigation, and accountability, and in line with emerging principles for artificial intelligence-enhanced decision making (Herath Pathirannehelage et al., 2025). Keywords: Product Management; Artificial Intelligence; Cognitive Load; Bounded Rationality; Knowledge Management; Decision Support Systems
Copyright (c) 2026 Babalola Oladeji https://creativecommons.org/licenses/by/4.0