Financial Behavior of Family Businesses: A Bibliometric and Systematic Literature Review
Bibliographic record
Abstract
The aim of this paper is to identify some holistic insights and to assess the evolution of the “financial behavior of family businesses” as a field of research. Authors performed an objective, and comprehensive analysis using a bibliometric and systematic review. Thus, three major databases (Scopus, Web of Science, and EBSCO host) were queried and 256 retrieved publications were analyzed. Findings showed an increasing dynamic of the number of publications from 1990 to 2020. The text mining of retrieved publications enables a thematic analysis of the intellectual streams and key concepts underpinning financial policies within family businesses. From a managerial perspective, a review of literature on financial behavior can help raise awareness among family members, managers, and policymakers about family business’ peculiarities that make the financial decisions complex. Finally, this paper reveals trends but also some knowledge gaps to consider in future research about the study of financial decisions within the context of family businesses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.130 | 0.108 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".