Evaluating the efficacy of state-aided programs in transforming agricultural enterprises through advanced digital management platforms

Government-supported digital management platforms have enabled the formulation of multiple policy frameworks with considerable economic, technological, and operational benefits. As little is known about where digital transformation is gaining momentum beyond developed economies and large-scale agribusinesses, the purpose of this study is to map in what contexts of agricultural operations it is perceived to gain traction. Drawing on data from survey responses and interviews in government-supported agricultural enterprises, we identify a long tail of policy-driven initiatives and regional funding schemes in which a total of seventy-eight unique digital management systems operate, including key platforms such as resource optimization tools, predictive analytics models, and supply chain management interfaces. Our findings reveal a strong relationship between state-backed financial assistance and digital platform adoption rates. However, agricultural businesses do not passively comply. Rather, their institutional constraints and localized needs are integrated into the policy design of government intervention strategies. The paper concludes by identifying barriers to scalability, reflecting on the application of digital solutions in the field of precision agriculture, and proposing suggestions for enhancing digital literacy among smallholder farmers. The study's insights enrich understandings of the workings of state-backed digitalization initiatives in experiences of agrarian modernization and economic sustainability.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-05-07
DOI
https://doi.org/10.1051/bioconf/202517501003/pdf
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Evaluating the efficacy of state-aided programs in transforming agricultural enterprises through advanced digital management platforms

Springer Link (Chiba Institute of Technology)
Smart Agriculture and AI
article

Evaluating the efficacy of state-aided programs in transforming agricultural enterprises through advanced digital management platforms

article en

Abstract

Government-supported digital management platforms have enabled the formulation of multiple policy frameworks with considerable economic, technological, and operational benefits. As little is known about where digital transformation is gaining momentum beyond developed economies and large-scale agribusinesses, the purpose of this study is to map in what contexts of agricultural operations it is perceived to gain traction. Drawing on data from survey responses and interviews in government-supported agricultural enterprises, we identify a long tail of policy-driven initiatives and regional funding schemes in which a total of seventy-eight unique digital management systems operate, including key platforms such as resource optimization tools, predictive analytics models, and supply chain management interfaces. Our findings reveal a strong relationship between state-backed financial assistance and digital platform adoption rates. However, agricultural businesses do not passively comply. Rather, their institutional constraints and localized needs are integrated into the policy design of government intervention strategies. The paper concludes by identifying barriers to scalability, reflecting on the application of digital solutions in the field of precision agriculture, and proposing suggestions for enhancing digital literacy among smallholder farmers. The study's insights enrich understandings of the workings of state-backed digitalization initiatives in experiences of agrarian modernization and economic sustainability.

Springer Link (Chiba Institute of Technology)
Quality Education, Zero hunger
Openalex Percentile: Top 68%
Smart Agriculture and AI
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Evaluating the efficacy of state-aided programs in transforming agricultural enterprises through advanced digital management platforms · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS