Board of director performance: a group dynamics perspective
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 This paper proposes mainly that boards of directors (BOD) are teams that share characteristics with many other kinds of teams. As a consequence, some of the factors that lead to board effectiveness are the same factors that lead to team effectiveness in general. By integrating the organizational behaviour literature on teams with the governance literature, a comprehensive model of BOD performance is proposed. Design/methodology/approach This conceptual paper proposes a model to assess the performance of a board and situates board performance as one input into firm performance. Findings This paper outlines the dynamic interplay between board characteristics, functionality and performance and proposes a comprehensive model, based largely on the group dynamics literature. Research limitations/implications Suggests that future research attempt to empirically address some (or all) of the items in the conceptual model. Acknowledges that operationalizing certain variables will prove challenging, but suggests that ethnographic accounts of how these variables (and potentially others) interact may be a valuable first step in more fully understanding board composition, functioning and performance. Practical implications It is argued that by extending traditional passive agency roles, BOD may be able to provide a wider range of contributions to enhance shareholder value. Originality/value This interdisciplinary paper integrates the group dynamics literature with the governance literature to propose a comprehensive model of BOD performance.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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