Social impact creation with GenAI in small- and medium enterprises in healthcare

Purpose This research aims to develop a framework enabling small- and medium-sized enterprises (SMEs) in healthcare as resource-constrained organizations to create social impact with the integration of generative artificial intelligence (GenAI) in their service ecosystem. Design/methodology/approach For developing the GenAI social impact framework, this research relies upon a systematic review of academic articles and business and policy publications and collaboration with healthcare SME experts. Findings As integrating GenAI-enabled services in the healthcare ecosystem comes with well-being opportunities and risks for different stakeholders, SMEs benefit from (1) identifying their resource constraints in relation to social impact creation, (2) exploring in what areas GenAI applications can alleviate these resource constraints to create social impact, and (3) implementing GenAI applications for social impact creation at the level of the service ecosystem. Originality/value With this study’s GenAI social impact framework, the authors strive to foster responsible use of GenAI in SMEs in the healthcare sector.

Authors

Institutions

Publication Details

Journal
Journal of Social Impact in Business Research
Published
2026-06-19
DOI
https://doi.org/10.1108/jsibr-05-2025-0059
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social impact creation with GenAI in small- and medium enterprises in healthcare

Katrien Verleye, Jannes Marquardt, Annalena Neder, Syeda Mansura Khatoon et al.
Journal of Social Impact in Business Research
AI in Service Interactions
article

Social impact creation with GenAI in small- and medium enterprises in healthcare

Katrien Verleye, Jannes Marquardt, Annalena Neder, Syeda Mansura Khatoon, Floriane Goosse
article en

Abstract

Purpose This research aims to develop a framework enabling small- and medium-sized enterprises (SMEs) in healthcare as resource-constrained organizations to create social impact with the integration of generative artificial intelligence (GenAI) in their service ecosystem. Design/methodology/approach For developing the GenAI social impact framework, this research relies upon a systematic review of academic articles and business and policy publications and collaboration with healthcare SME experts. Findings As integrating GenAI-enabled services in the healthcare ecosystem comes with well-being opportunities and risks for different stakeholders, SMEs benefit from (1) identifying their resource constraints in relation to social impact creation, (2) exploring in what areas GenAI applications can alleviate these resource constraints to create social impact, and (3) implementing GenAI applications for social impact creation at the level of the service ecosystem. Originality/value With this study’s GenAI social impact framework, the authors strive to foster responsible use of GenAI in SMEs in the healthcare sector.

Journal of Social Impact in Business ResearchVol. 2(3)
University of Namur (BE), Catholic University of Eichstätt-Ingolstadt (DE), Ghent University Hospital (BE), Hanken School of Economics (FI), University of Bayreuth (DE)
Openalex Percentile: Top 5%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Social impact creation with GenAI in small- and medium enterprises in healthcare — Katrien Verleye, Jannes Marquardt, et al. · Journal of Social Impact in Business Research (2026) | TGRS Research Map | TGRS