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Open Access
Article
Publication date: 16 January 2025

María Atienza-Barba, José Álvarez-García, Ángel Meseguer-Martínez and Virginia Barba-Sánchez

This study aims to analyse the literature on the digital transformation of family businesses and the impact of artificial intelligence on this process, highlighting key areas of…

Abstract

Purpose

This study aims to analyse the literature on the digital transformation of family businesses and the impact of artificial intelligence on this process, highlighting key areas of interest and future perspectives.

Design/methodology/approach

A bibliometric analysis is performed to explore the interconnection between variables and the relationships between authors, countries and journals in this research area. The Scopus database was used as of March 2024, and the data analysis was carried out with Bibliometrix for result analysis and VOSviewer for scientific mapping.

Findings

The analysis confirms the increasing relevance of the topic, with a high number of articles in 2023. Prominent journals are identified, and authors are mainly from China and Europe. Keywords “family business” and “family firms” are strongly linked, showing a connection to artificial intelligence and digital transformation. Family businesses are embracing the digital era, and research must respond accordingly.

Originality/value

This pioneering study offers a novel contribution, as no prior bibliometric analysis has addressed this topic. It lays the groundwork for future research, identifying emerging themes with significant future potential.

Details

Journal of Family Business Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2043-6238

Keywords

Article
Publication date: 13 November 2024

José Luís Lopes and Leonardo Fernando Cruz Basso

This study aims to present a bibliometric analysis combined with a systematic review of the empirical literature to verify whether the relationship between the impact of…

Abstract

Purpose

This study aims to present a bibliometric analysis combined with a systematic review of the empirical literature to verify whether the relationship between the impact of eco-innovation and the financial performance of companies is corroborated.

Design/methodology/approach

This study uses bibliometric analysis and systematic review methods on 122 articles from Web of Science, Scopus and Science Direct, combining quantitative frequency and co-citation analysis with a qualitative exploration of themes in eco-innovation research.

Findings

In their research on eco-innovation, the authors found that there is a need to better understand the impact of eco-innovation on companies’ financial performance in the knowledge gaps.

Research limitations/implications

Research on eco-innovation identifies knowledge gaps and directions for future studies exploring environmental strategies to boost corporate commitment to sustainability.

Originality/value

This study finds that eco-innovation is decisive for enhancing operational performance and understanding its effect on companies’ financial outcomes, offering perspectives on how environmental practices influence organizational finance.

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