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Record W4312295075 · doi:10.4018/ijamse.312850

Intergenerational Leadership Practices in African Family Firms

2022· article· en· W4312295075 on OpenAlexaboutno aff
Munyaradzi Chagwesha, Tonderai Nyamwanza

Bibliographic record

VenueInternational Journal of Applied Management Sciences and Engineering · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
Fundersnot available
KeywordsScopusCitationFamily businessSuccession planningPublic relationsSociologyPolitical scienceManagementBusinessMarketingEconomicsLawMEDLINE

Abstract

fetched live from OpenAlex

The overall aim of this study was to review the publications on intergenerational leadership practices adopted by leaders in African family businesses in an effort to identify literature gaps. Scientific publications published in the field of leadership practices in family businesses were examined. With the help of VOSviewer, 101 publications from the Scopus database were analyzed to give a clear picture of literature reviewed. The major focus of this paper was on citation of authors, bibliographic coupling of country, and co-occurrence of key terms. The results highlighted that Redu Lefebvre, M. and Lefebvre, V. were the most cited authors in the field. Also, most of the studies were carried out in United States of America, United Kingdom, Canada, and Italy, respectively. Lastly, the most studied concepts that are closely related to the current study are family business, family firms, leadership, and succession. Thus, the authors concluded that intergenerational leadership practices in family businesses have not been thoroughly reviewed especially in African contexts.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.247
Teacher spread0.198 · 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 designSimulation or modeling
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

Citations1
Published2022
Admission routes1
Has abstractyes

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