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Record W3126542306 · doi:10.1080/23311975.2021.1879449

Managerial ability and firm performance: Evidence from an emerging market

2021· article· en· W3126542306 on OpenAlex

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

VenueCogent Business & Management · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsBusinessIndustrial organizationFirm offerEmerging marketsMicroeconomicsMarketingEconomicsFinance

Abstract

fetched live from OpenAlex

This study empirically examines the impact of managerial ability on firm performance. Using the sample of 246 firms listed at Pakistan Stock Exchange during 2009 to 2017, this study finds that more able managers significantly increase the firm performance while less able managers significantly reduce the firm performance. These findings hold for both accounting and market measures of firm performance as well as alternative measures of managerial ability. Further, we control for endogeneity and cross-sectional variation issues using 2SLS and Fama-MacBeth methods, respectively. Overall, we conclude that able managers enhance the firm value, and the effects are stronger in financially constrained firms. This study provides fresh evidence that able managers bring intangible resources in the firms, which positively contribute to the firm performance even in the challenging environment and the weak legal systems.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.237
Teacher spread0.211 · 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