Understanding social innovation leadership in universities: empirical insights from a group concept mapping study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Recently, social innovation (SI) has captured the imagination of a range of actors globally, including in the higher education (HE) sector. This study explores the conceptual domain of SI leadership in HE. Drawing on the insights of 22 experienced practitioners in Canada, it provides a concept map to help guide leadership practice and research. Design/methodology/approach The study adopted Group Concept Mapping (GCM), a mixed methods approach that provides a structured way to map the “conceptual domain” of a topic from the perspectives of those with close knowledge of it. Using online GCM software, one group of participants generated statements in response to a prompting question about SI leadership. Another group sorted statements into conceptual groups, rating them for importance. The authors then produced a preliminary map using cluster analysis. A third group interpreted that map. The authors analyzed interpretation data to produce a final concept map, which is discussed in light of relevant literature. Findings GCM methodology resulted in 108 statements about SI leadership, with the vast majority ranked as highly important. The analysis produced a map consisting of nine “clusters” of conceptually related ideas about SI leadership, encapsulated under three interacting areas of focus: individual, relational, institutional/system. Participants confirmed the map reflected key dimensions of practice, noting it indicated important tensions and paradoxes core to their practice. Their interpretations highlighted how the map represented iterative dynamics of leadership over time and across levels; and how different theoretical and practice traditions in SI communities affect conceptualizations of leadership. Research limitations/implications The study suggests that an area ripe for study is the navigation of micro-level systems in pursuit of meso-level and macro-level systems change. The map provides an empirically derived set of dimensions for instrument development in future SI leadership studies. The context of conventional academic institutions bounds the results but helps to surface key considerations for researching SI processes in other mature institutions. Comparison of findings with extant leadership theories suggests that, to advance theoretical research on the topic of leadership in SI, bricolage or new theory development will be needed. Practical implications The map paints broad themes with concrete, practice-level ideas. It can serve as a touchstone for reflection by experienced practitioners and offers a reference point to orient those new to leading SI. Originality/value The scholarly knowledge base about SI has been growing rapidly, but it is still an emerging field of study. There are only a handful of published studies offering perspectives on SI in HE, and none with respect to SI leadership in HE. This study offers original conceptual insights grounded in empirical data gathered through a method aligned with its exploratory purpose.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it