DBA as an enabler of future management practice – case study insights and reflections from recent graduates
Bibliographic record
Abstract
Purpose The purpose of the study is to explore a Doctorate in Business Administration (DBA) programme in the context of a small emerging Irish university as an enabler for future management practice development. Design/methodology/approach The research comprises a literature review and a single case study focused on a single DBA graduate of a DBA programme embedded in a new technological Irish university. Findings Findings indicate that the DBA supports a unique form of managerial learning supportive of the development of future management practice in graduates. Specifically, such managerial learning emerges from the embracement of differences by both faculty and students; guidance by faculty in opening students to uncertainty and unknowing and in supporting students towards becoming architects of socio-technical organisational change. Ultimately, the DBA graduate is not viewed as leaving the programme, with novel management practices that are time-bound, rather they are imbued with a learning potential supportive of continual management practice development into the future. Theoretically, the authors extend studies that indicate the potential of the DBA as a mechanism for management practice development, indicating the role of managerial learning in context. Research limitations/implications The research is limited to a single case study of a DBA programme embedded in a new technological Irish university and draws from the perspective of one key informant graduate. Hence, future research into how managerial learning impacts new management practice development in the context of other universities is encouraged. Practical implications The central role of managerial learning promoted in the DBA within this new technological university indicates two practical implications of the research. First, both organisations and students considering DBA education as a means of developing future management practices are encouraged to contemplate such education through the lens of managerial learning. It is anticipated that such contemplation will improve preparedness. Second, business schools are encouraged to contemplate improving their programmes through the managerial learning lens, with such improvement activating potential in marketing the DBA to both students and organisations. Originality/value Theoretically the authors extend existing studies that indicate the potential of the DBA as a mechanism for management practice development. Specifically the role of contextual managerial learning is articulated, and is argued to support a management practice development capable of continual transformation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".