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Record W4393239455 · doi:10.4236/ojbm.2024.122063

The Role of Board Dynamics in Organizational Transformation: A Corporate Governance Perspective

2024· article· en· W4393239455 on OpenAlex
Henry Dimingu, Idowu Mary Mogaji

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpen Journal of Business and Management · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPerspective (graphical)Corporate governanceBusinessTransformation (genetics)Organizational dynamicsDynamics (music)AccountingPublic relationsPolitical scienceSociologyComputer scienceFinance

Abstract

fetched live from OpenAlex

The paper illuminates the pivotal role of corporate board dynamics in shaping organizational transformation within corporate governance. Delving into the intricate interplay of board structures, diverse member influences, and decision-making processes, the paper explores the nuanced landscape of how boards can either facilitate or impede transformative initiatives. It explores the composition of boards, considering the impact of diversity on strategic decision-making and the overall effectiveness of these structures in driving organizational change. By synthesizing existing literature, the paper seeks to provide an understanding of the complex dynamics within corporate boards during transformative phases. The insights derived from this conceptual exploration aim to inform governance practices and contribute to the strategic discourse surrounding organizational transformation, offering valuable perspectives for scholars, practitioners, and policymakers navigating the evolving landscape of corporate governance and strategic change.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.238
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it