RealKM Knowledge Management Update No. 1,055 – 1 Jul 2026
Knowledge management (KM) for sustainable development is a theme in three of the new RealKM Magazine articles featured in this update, which also includes a new tools & methods article, the latest article in Hanna M. Koskinen’s series on responsible KM (rKM), as well as some revisited insights from our archive.
Research Roundup
Research shifts in knowledge management for innovation and sustainable development. A newly published paper in the journal Environment, Development and Sustainability identifies six research trends in the interplay between KM, innovation, and sustainable development, and China and Italy emerge as research leaders.
Developing the core principles of responsible knowledge management (rKM): Section 3.2.3 – Ensuring rigour and validity. Rigour and validity come through a reflexive approach to data selection and interpretation.
Focus on KM & SDGs campaign
Summary report of stakeholder inputs to UN 2027 GSDR reflects RealKM submission. In the summary report, our landmark KM & SDGs campaign journal editorial is listed as a scientific reference for the 2027 Global Sustainable Development Report (GSDR), and multiple knowledges approaches are reflected in the summarized inputs.
SDSN Report Confirms Strong Global Commitment to SDGs, Despite Headwinds. The Sustainable Development Solutions Network (SDSN) reports that most countries support the SDG framework, with India and China leading progress. But Argentina and the US consistently oppose resolutions.
Tools & Methods
Modifying the Delphi method with continuous real-time data analysis. Durvey is a modified Delphi method that provides a web-based research environment to automate data aggregation and visualisation in real time.
From the Archive
Because You Need to Know. An initiative of Pioneer Knowledge Services, this series features interesting interviews with non-profit leaders and knowledge management (KM) professionals.
Are you really doing enough to detect “botshit” in your AI-generated content? A case study showing just how much checking, thinking about, and questioning is needed to detect botshit in AI outputs.
Potential alternative approaches to evaluating knowledge management (KM) program performance. Three performance evaluation approaches that can demonstrate outcomes as well as outputs: program logic and performance story reports, most significant change, and multiple lines and levels of evidence (MLLE).
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