The Cynefin framework: A tool for analyzing qualitative data in information science?

Abstract

Interpreting qualitative research data and presenting it in ways that enable potential beneficiaries of the research to use it readily and appropriately is increasingly important in the context of the research impact agenda. One way of doing uses the Cynefin framework. Cynefin, which is rooted in knowledge management and complexity science, has been used in a range of contexts to support decision-making and strategy development in dynamic and challenging situations. However, it has not been widely used as a data analysis technique or in the information science discipline. An exploratory evaluation uses it to interpret the rich, nuanced qualitative data from a three-year research project that engaged people worldwide to explore issues and practical strategies for managing electronic records, a significant information management challenge. The evaluation demonstrates that the Cynefin framework provides a strategic lens through which to view electronic records management (ERM). Cynefin prompts new questions to be asked, leading to new insights and a deeper understanding of the ERM challenge. Most significantly, it provides a new construct for re-perceiving the challenge in a holistic way and offers a strategic approach to taking action for change. This evaluation suggests that it is an appropriate and effective framework for use in qualitative research on challenging information management problems, with the potential to support the transfer of research into practice.