kerostig | Tag : business information systems https://kerostig.org/tag/business-information-systems/ Derniers appels à publications avec le tag 'business information systems'. Mon, 19 Oct 2026 07:50:56 GMT https://validator.w3.org/feed/docs/rss2.html https://github.com/jpmonette/feed fr kerostig | Tag : business information systems https://kerostig.org/public/favicon/android-chrome-96x96.png https://kerostig.org/tag/business-information-systems/ Notices : kerostig © 2026. Le texte des appels appartient à leurs éditeurs. <![CDATA[AI-enabled Digital Transformation for Small and Medium‑sized Enterprises (SMEs)]]> https://kerostig.org/call/springer-topical-collection-ai-enabled-digital-transformation-for-small-and-mediumsized-enterprises-smes/ springer-topical-collection-ai-enabled-digital-transformation-for-small-and-mediumsized-enterprises-smes Mon, 21 Sep 2026 08:26:56 GMT

Shi, Yao, University of North Carolina Wilmington

Fitz, Lukas R. G., Brandenburg University of Technology Cottbus – Senftenberg

Bordeleau, Fanny-Eve, Dalhousie University

Pelletier, Claudia, Universitée du Québec à Trois-Rivières

Gebauer, Judith, University of North Carolina Wilmington

Small and medium-sized enterprises face significant obstacles in adopting AI technologies, including limited financial resources, insufficient technological infrastructure, and workforce skill gaps. This creates a widening digital divide between large organizations and SMEs, potentially undermining economic growth and digital equity across regions. Since SMEs are crucial to global economies, their ability to leverage AI-enabled transformation is essential for competitive resilience and inclusive economic development.

This topical collection invites research exploring AI adoption in SMEs from multiple perspectives, including theoretical frameworks, empirical studies, design approaches, and technical solutions. Contributions should address the opportunities, challenges, strategies, and outcomes of AI-enabled transformation in the SME context, covering topics such as adoption drivers, barriers, workforce development, ethical considerations, innovation ecosystems, and governance models.

Appel publié par Electronic Markets. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

  • AI adoption drivers, strategies, and readiness models for SMEs
  • AI barriers, challenges, and failures for SMEs
  • Skill gaps, workforce development, and organizational learning for AI in SMEs
  • Ethical and societal issues surrounding AI in SMEs
  • Case studies of AI adoption in SMEs and business ecosystems
  • AI innovation ecosystems inclusive of SMEs
  • Design of SME-suitable AI artefacts
  • SME practitioner perspectives on AI
  • Human-centered AI for SMEs
  • AI-enabled business model innovation in SMEs
  • AI governance frameworks for SMEs
  • AI-driven shifts in SME strategies for competition and innovation
  • Development and management of AI ecosystems for SMEs

Timeline

  • September 15, 2026: Open for submissions
  • March 15, 2027: Submission deadline
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