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Record W2101137294 · doi:10.1111/1911-3846.12044

The Nominating Committee Process: A Qualitative Examination of Board Independence and Formalization

2013· article· en· W2101137294 on OpenAlexvenueno aff
Richard Clune, Dana R. Hermanson, James G. Tompkins, Zhongxia Ye

Bibliographic record

VenueContemporary Accounting Research · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsNominationPublic relationsProcess (computing)Political scienceManagementOfficerService (business)BusinessAccountingMarketingLawComputer scienceEconomics

Abstract

fetched live from OpenAlex

The nominating committee (NC) of the board identifies and nominates individuals for board service, thus establishing the board's composition. Despite this important role, relatively little is known about the NC process, including NC members' actions and thought processes. Based on interviews of 20 U.S. public company NC members, including 16 chairs, we focus on two primary questions: (1) what is the extent of influence that the Chief Executive Officer (CEO) has over committee processes, and (2) to what extent are committee processes formalized (i.e., framed and acted upon in a mechanistic way)? We find that there is continuing recognition of CEO influence in the director nomination process, the level of which varies widely by company. Also, there is considerable variability in the formalization of the director nomination process (e.g., some NCs use search firms and a matrix/grid approach to assessing director skill sets across the board, while others do not). Finally, we find that many interviewees have professional or personal ties to the CEO and that nearly all of the NCs focus on “chemistry” and comfort in the director nomination process, where the often‐stated goal is to enhance the board's ability to function effectively and to reduce risk in the director nomination process. The overall message of the interviews perhaps is best captured by one interviewee, who described a “strange little dance.” Throughout the interviews, we find evidence that the NC must “dance” through a complex decision landscape.

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.

How this classification was reachedexpand

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.004
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 head0.075
GPT teacher head0.335
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations103
Published2013
Admission routes1
Has abstractyes

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