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Permanent record · RIR–2050

Designing Business Model Innovations to Enhance Digital Agriculture Adoption Among Smallholder Farmers

Digital agriculture holds promise for smallholders, but adoption is hindered by infrastructure and business model gaps. This study investigates innovative business models that align digital service delivery with the economic realities of smallholder farmers.

Open to researchMBA suitableQualified 84/100P4 provenance
Primary research question

Which business model innovations effectively increase the uptake and sustainability of digital agriculture services for smallholder farmers?

Knowledge gap

What remains worth asking

The source explicitly identifies a lack of research directed at business model innovation as a barrier to digital transformation for smallholders.

Potential contribution

Why it may matter

Developing viable business models is essential for bridging the digital divide and ensuring the long-term sustainability of agricultural technology services.

Academic placement

OECD fields and topic tags

Agricultural EconomicsInnovation ManagementInformation Systems

Scope: Smallholder agricultural sectors in developing economies. · Method signals: Case Study, Business Model Canvas Analysis, Action Research

Possible study pathways

One question, different levels

Professional master’s / MBA

Innovation and entrepreneurship

Research master’s

Digital transformation in agriculture

originalityModerate
methodologyModerate
Data accessModerate
ethicsAccessible

Qualification signal

84/100

  • Focus on affordability and digital literacy
  • Involve local agricultural cooperatives
  • Open-access scholarly source and DOI metadata verified

Provenance

Research Idea Registry curation

  • DOI and bibliographic metadata independently resolved
  • Open-access status verified
  • The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.

APA 7 source

Gumbi, N., Gumbi, L., & Twinomurinzi, H. (2023). Towards Sustainable Digital Agriculture for Smallholder Farmers: A Systematic Literature Review. Sustainability, 15(16), 12530. https://doi.org/10.3390/su151612530

Paper abstract and discussion context; AI-inferred direction

Open source ↗