A Socio‐Psychological Perspective on Team Ambidexterity: The Contingency Role of Supportive Leadership Behaviours
Bibliographic record
Abstract
Abstract In addressing the notion of team ambidexterity, we propose that socio‐psychological factors (i.e., team cohesion and team efficacy) may help team members to resolve paradoxical challenges and to combine exploratory and exploitative learning efforts. In addition, we theorize that senior executives may play an important role in facilitating the emergence of ambidexterity at lower hierarchical levels. In doing so, we develop a multilevel contingency framework and propose that the effectiveness of teams to achieve ambidexterity is contingent upon supportive leadership behaviours at the organizational‐level. Using multilevel, multisource, and temporally separated data on 87 teams within 37 high‐tech and pharmaceutical firms, we not only reveal how team cohesion and efficacy may matter for the emergence of team ambidexterity but also show that the effectiveness of supportive leadership behaviours from senior executives varies across cohesive and efficacious teams.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".