Literature gap analysis
| Record | Research method | GenAI focus | Social impact focus | Processual mechanism focus | Context |
|---|---|---|---|---|---|
| "Automated agrifood futures: robotics, labor and the distributive politics of digital agriculture,” Carolan (2020) | Case analysis | Partial | X | Digital agriculture | |
| “ Large language models can help boost food production, but be mindful of their risks,” De Clercq et al. (2024) | Perspective | X | X | Partial | Food production |
| "Artificial intelligence and reduced SMEs’ business risks. A dynamic capabilities analysis during the COVID-19 pandemic,” Drydakis (2022) | Empirical | X | X | SMEs | |
| "Realizing the potential of digital development: The case of agricultural advice,” Fabregas et al. (2019) | Review / case analysis | X | Agricultural advice | ||
| "Applications and perspectives of Generative Artificial Intelligence in agriculture,” Pallottino et al. (2025) | Literature review | X | X | Partial | Precision farming |
| "Generative artificial intelligence in small and medium enterprises: Navigating its promises and challenges,” Rajaram and Tinguely (2024) | Conceptual | X | Partial | Partial | SMEs |
| "Unleashing the Power of Generative AI in Agriculture 4.0 for Smart and Sustainable Farming,” Sai et al. (2025) | Review | X | X | Agriculture 4.0 | |
| "Large language models and agricultural extension services,” Tzachor et al. (2023) | Perspective / user testing | X | X | Partial | Nigerian cassava farmers using GenAI |
| Current study | Qualitative longitudinal multicase study | X | X | X | Small agricultural businesses using GenAI |
| Record | Research method | GenAI focus | Social impact focus | Processual mechanism focus | Context |
|---|---|---|---|---|---|
| "Automated agrifood futures: robotics, labor and the distributive politics of digital agriculture,” | Case analysis | Partial | X | Digital agriculture | |
| “ Large language models can help boost food production, but be mindful of their risks,” | Perspective | X | X | Partial | Food production |
| "Artificial intelligence and reduced SMEs’ business risks. A dynamic capabilities analysis during the COVID-19 pandemic,” | Empirical | X | X | SMEs | |
| "Realizing the potential of digital development: The case of agricultural advice,” | Review / case analysis | X | Agricultural advice | ||
| "Applications and perspectives of Generative Artificial Intelligence in agriculture,” | Literature review | X | X | Partial | Precision farming |
| "Generative artificial intelligence in small and medium enterprises: Navigating its promises and challenges,” | Conceptual | X | Partial | Partial | SMEs |
| "Unleashing the Power of Generative | Review | X | X | Agriculture 4.0 | |
| "Large language models and agricultural extension services,” | Perspective / user testing | X | X | Partial | Nigerian cassava farmers using GenAI |
| Current study | Qualitative longitudinal multicase study | X | X | X | Small agricultural businesses using GenAI |
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