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

  • Syeda Khatoon
  • , Katrien Verleye*
  • , Jannes Marquardt
  • , Floriane Goosse
  • , Annalena Neder
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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.
Original languageEnglish
Peer-reviewed scientific journalJournal of Social Impact in Business Research
Volume2
Issue number3
Pages (from-to)51
Number of pages71
ISSN3049-4877
DOIs
Publication statusPublished - 19.06.2026
MoE publication typeA1 Journal article - refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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