A Jobs-to-Be-Done Framework for Mapping Digital Innovation Opportunities in Climate-Smart Agrifood Systems

The agrifood sector faces well-documented barriers to climate-smart agriculture (CSA) adoption, reflecting systematic difficulty identifying where digital tools address specific stakeholder needs rather than a technology shortage. This paper presents a prescriptive framework for mapping digital innovation opportunities in complex, multi-stakeholder agrifood systems. Grounded in Jobs-to-be-Done (JTBD) theory and structured as a two-dimensional matrix of meta-jobs and value chain segments, the framework was developed through a design science research (DSR) paradigm evaluated on utility, coherence, and actionability. Construction involved a purposive synthesis of three literature streams and iterative refinement through 136 stakeholder engagements within a six-month university-affiliated startup studio cycle. Applied to climate-smart agriculture, the framework produces 54 strategic opportunity areas across nine meta-jobs and six value chain segments. A cross-cutting pattern analysis identifies three structural constraints: agricultural data fragmentation and absence of interoperability standards; inadequate measurement, reporting, and verification infrastructure; and misalignment between financing mechanisms and climate-smart time horizons. The framework equips entrepreneurs and investors with a segment-differentiated opportunity map, supports agribusiness portfolio analysis, and directs policymakers toward three priority areas where coordinated systemic action generates value across the opportunity landscape.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2026-05-02
DOI
https://doi.org/10.3390/su18094487
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Jobs-to-Be-Done Framework for Mapping Digital Innovation Opportunities in Climate-Smart Agrifood Systems

Lourival Carmo Mônaco Neto, Allan W. Gray
Sustainability
Smart Agriculture and AI
article

A Jobs-to-Be-Done Framework for Mapping Digital Innovation Opportunities in Climate-Smart Agrifood Systems

Lourival Carmo Mônaco Neto, Allan W. Gray
article en

Abstract

The agrifood sector faces well-documented barriers to climate-smart agriculture (CSA) adoption, reflecting systematic difficulty identifying where digital tools address specific stakeholder needs rather than a technology shortage. This paper presents a prescriptive framework for mapping digital innovation opportunities in complex, multi-stakeholder agrifood systems. Grounded in Jobs-to-be-Done (JTBD) theory and structured as a two-dimensional matrix of meta-jobs and value chain segments, the framework was developed through a design science research (DSR) paradigm evaluated on utility, coherence, and actionability. Construction involved a purposive synthesis of three literature streams and iterative refinement through 136 stakeholder engagements within a six-month university-affiliated startup studio cycle. Applied to climate-smart agriculture, the framework produces 54 strategic opportunity areas across nine meta-jobs and six value chain segments. A cross-cutting pattern analysis identifies three structural constraints: agricultural data fragmentation and absence of interoperability standards; inadequate measurement, reporting, and verification infrastructure; and misalignment between financing mechanisms and climate-smart time horizons. The framework equips entrepreneurs and investors with a segment-differentiated opportunity map, supports agribusiness portfolio analysis, and directs policymakers toward three priority areas where coordinated systemic action generates value across the opportunity landscape.

SustainabilityVol. 18(9)
Purdue University West Lafayette (US)
Climate action
Openalex Percentile: Top 11%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.