GenAI and Digital Inclusion: Application Creativity of GenAI in Marginalized Communities

Jessy Chia-Yu Lin et al.

Information Systems Frontiers2026https://doi.org/10.1007/s10796-026-10713-7article
AJG 3ABDC A
Weight
0.50

Abstract

Generative artificial intelligence (GenAI) has demonstrated considerable creative potential; however, it also intensifies concerns regarding how emerging digital opportunities are utilized in marginalized communities. We frame this issue as a challenge of inclusive information systems (IS) design—one that must reconcile the advancement of GenAI-driven creativity with digital inclusion. Adopting an action design research approach, we conducted a study in a marginalized rural town, where the research team and community members collaboratively developed a mobile tourism application (app) using GenAI tools. Our findings identify three distinct forms of GenAI-driven creativity—imaginative, pragmatic, and realizative—that enable its appropriation within marginalized contexts. These forms capture a dynamic process evolving from idea inspiration to action orientation through which GenAI’s application creativity is activated. By bridging the domains of GenAI creativity and digital inclusion, this study advances an inclusive approach for leveraging GenAI to support more context-sensitive and sustainable development.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1007/s10796-026-10713-7

Or copy a formatted citation

@article{jessy2026,
  title        = {{GenAI and Digital Inclusion: Application Creativity of GenAI in Marginalized Communities}},
  author       = {Jessy Chia-Yu Lin et al.},
  journal      = {Information Systems Frontiers},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10796-026-10713-7},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

GenAI and Digital Inclusion: Application Creativity of GenAI in Marginalized Communities

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.