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Published February 28, 2026 | Version 13.0

GIFT — Global Index of Family-Firm Turnarounds v13.0

Authors/Creators

  • 1. Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil

Description

GIFT — Global Index of Family-Firm Turnarounds

Version 13.0 | Data freeze: 2026-02-27

Overview

The GIFT is a structured, cross-country dataset of 3,865 corporate turnaround cases spanning 74 countries, all 7 World Bank regions, and the event period 2005–2025. Each case is described by 102 variables organised into 17 thematic categories, covering firm identification, ownership structure, financial distress indicators, turnaround actions, and outcome classification.

Key Statistics

MetricValue
Total cases3,865
Countries74
World Bank regions7
Variables per case102
Family-owned firms81.8% (n = 3,163)
Outcome: ZOMBIE54.0% (n = 2,086)
Outcome: SURVIVAL_ATTEMPT40.1% (n = 1,551)
Outcome: DEATH5.9% (n = 228)
Confidence: HIGH71.0% (n = 2,744)
Confidence: MEDIUM22.2% (n = 858)
Evidence coverage (avg.)87.5%

Collection Methodology

The dataset was constructed using SNIPER Deep Search, a novel LLM-augmented pipeline that combines trilingual web discovery (native language, English, Spanish), multi-layer information extraction across public records, court portals, PDF repositories, and niche news archives, and Bayesian confidence scoring. The pipeline implements a Medallion data-quality architecture (Bronze–Silver–Gold) with explicit promotion gates. 99.8% of cases achieved AUDITED_SILVER status or above.

Anonymisation

A four-stage anonymisation protocol was applied: (1) removal of direct identifiers (entity names, CEO names, buyer identities), (2) generalisation of quasi-identifiers (founding year, financial variables binned to ranges), (3) sanitisation of 19 evidence columns (106,377 PII redactions), and (4) k-anonymity verification and enforcement (target k ≥ 5). The protocol complies with LGPD (Lei 13.709/2018) and GDPR (Regulation (EU) 2016/679).

Files Included

  • GIFT_v13_Anonymized.csv — Main dataset (3,865 rows × 102 columns, anonymised)
  • GIFT_Codebook_v13.tex — Full variable codebook (LaTeX source)
  • GIFT_Data_Dictionary_v13.xlsx — Machine-readable data dictionary
  • changelog_v12_5_to_v13.txt — Version changelog (8 documented fixes)
  • references_atlas.bib — BibTeX references (32 entries)
  • replication_docker.zip — Docker-based replication package
  • analysis_scripts.zip — Python analysis scripts
  • README.md — Dataset documentation
  • CITATION.cff — Machine-readable citation metadata
  • LICENSE.md — CC-BY 4.0 licence text

Citation

Tagliari, M. (2026). GIFT — Global Index of Family-Firm Turnarounds (v13.0) [Dataset]. Zenodo. https://doi.org/[TO BE ASSIGNED]

Licence

This dataset is released under the Creative Commons Attribution 4.0 International (CC-BY 4.0) licence.

Notes

Data freeze: 2026-02-27. Collection method: SNIPER Deep Search Pipeline (LLM-augmented, Medallion Architecture). 3,865 cases across 74 countries, 7 World Bank regions, 2005-2025. Family-owned firms: 81.8%. Anonymised per LGPD/GDPR. 19 evidence-backed critical variables with 87.5% average coverage. Confidence distribution: HIGH 71.0%, MEDIUM 22.2%, LOW 3.5%, UNKNOWN 3.3%.

Files

atlas_paper_complete.pdf

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Additional details

Subjects

Corporate Finance
jel:G33
Family Business
jel:L26