The Convergence of ISM and LIS in 2026 Bridging the Global Knowledge Gap

Editorial

Author

Editor-in-Chief International Journal of Information Science and Management

10.22034/ijism.2026.735073
Abstract
As we navigate the complexities of 2026, the boundaries between Information Science and Management (ISM) and Library and Information Science (LIS) have effectively dissolved. For the International Journal of Information Science and Management (IJISM), this integration represents a transformative shift: we are no longer just managing data or cataloging books; we are architecting the Global Knowledge Commons (Hess & Ostrom, 2007). The latest achievements in these fields offer a unique opportunity for developing nations to leapfrog traditional infrastructure hurdles through "intelligent" information ecosystems (Floridi, 2025).

Ajimati, M. O., Carroll, N. & Maher, M. (2025). Adoption of low-code and no-code development: A systematic literature review and future research agenda. Journal of Systems and Software, 222, 112300. https://doi.org/10.1016/j.jss.2024.112300
CNCF. (2026). The infrastructure of AI’s future: Annual cloud native survey. Cloud Native Computing Foundation. Retrieved from https://www.cncf.io/wp-content/uploads/2026/01/CNCF_Annual_Survey_Report_final.pdf
Floridi, L. (2025). The Green and Blue: From Native to Mature Information Ecosystems. In: The Ethics of Artificial Intelligence - Principles, Challenges, and Opportunities (Revised Edition). Oxford University Press
Gartner (2026). Top 10 Strategic Technology Trends for 2026: The Rise of Domain-Specific Language Models. Gartner Research.
Hess, C. & Ostrom, E. (Eds.). (2007). Understanding Knowledge as a Commons: From Theory to Practice. MIT Press. https://doi.org/10.7551/mitpress/6980.001.0001
Karami, A. & Karami, M. (2025). Edge computing in big data: Challenges and benefits. International Journal of Data Science and Analytics, 20(7), 6183-6226. https://doi.org/10.1007/s41060-025-00855-3
Rowan, J., Mittal, N., Patwari, P. & Burns, E. (2025). The Agentic Reality Check: Preparing for a Silicon-Based Workforce. In Tech Trends 2026 (pp. 21-31). Deloitte Insights. Retrieved from https://www.deloitte.com/content/dam/insights/articles/2025/us188546_tt-26/pdf/DI_Tech-trends-2026.pdf
Syed, R. (2026). 2026 Predictions: How Edge AI is Reshaping Industrial Operations. ZEDEDA. Retrieved from https://zededa.com/blog/2026-predictions-how-edge-ai-is-reshaping-industrial-operations/
World Economic Forum. (2026). Rethinking AI Sovereignty: Pathways to Competitiveness through Strategic Investments [White paper]. Retrieved from https://www3.weforum.org/docs/WEF_Rethinking_AI_Sovereignty_Pathways_to_Competitiveness_through_Strategic_Investments_2026.pdf
Zhao, D., Scheuerman, M., Chitre, P., Andrews, J., Panagiotidou, G., Walker, S., ... & Xiang, A. (2024). A taxonomy of challenges to curating fair datasets. Advances in Neural Information Processing Systems, 37, 97826-97858.