Advancing Management Innovation: Synthesizing Processes, Levels of Analysis, and Change Agents
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
Despite the mounting evidence that innovation in management can fuel competitive advantage, we still know relatively little about how firms introduce new ways of managing. The goal of this introductory essay—and the Themed Section it introduces—is to advance this knowledge. To this end, we first synthesize the main developments in the field of management innovation and show that the field has branched into four main theoretical perspectives (rational, institutional, international business, and theory development perspectives). We then address the fragmentation issue that emerges from our review by proposing a co-evolutionary framework of management innovation that takes into account the dynamic and multilevel nature of the concept; we thus integrate the generation, diffusion, adoption, and adaptation phases of the management innovation process at the organizational, inter-organizational and macro level. Our integrative framework also addresses the role of human agency (managerial intentionality of internal and external change agents) and makes a distinction between three types of management innovations (new to the world, new to the organization and adapted to its context, and new to the organization without adaptation). Furthermore, we discuss the contributions of the studies included in the Themed Section and identify several avenues for future research that we consider priorities for driving the further development of the field.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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