How to measure digital maturity in agriculture?

The aim of the paper is a holistic analysis of the technological, organizational and human capabilities for exploiting the potential of digital technologies for farming. The conceptual background results from maturity models. So far, these have been less pursued in the context of digitalization in agriculture. The paper is therefore dedicated to (1) the development of a digital maturity model for farms based on the state of the art in methodological standards for maturity model development, and (2) a quantitative analysis the current situation of farms (n=123) in Germany, including an evaluation of this developed model. The developed model comprises nine dimensions and is designed as a diagnostic tool for strategic farm management. When applying the tool to the sample, it becomes obvious that the digital maturity of farms is more advanced in the dimensions describing technology and human factors, while organizational dimensions are less developed. The paper ends with implications and limitations of the presented research.

Publication Details

Journal
Dokumentenrepositorium der RUB (Ruhr University Bochum)
Published
2025-05-05
Primary Topic
Smart Agriculture and AI
Type
article
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article

How to measure digital maturity in agriculture?

Dokumentenrepositorium der RUB (Ruhr University Bochum)
Smart Agriculture and AI
article

How to measure digital maturity in agriculture?

article en

Abstract

The aim of the paper is a holistic analysis of the technological, organizational and human capabilities for exploiting the potential of digital technologies for farming. The conceptual background results from maturity models. So far, these have been less pursued in the context of digitalization in agriculture. The paper is therefore dedicated to (1) the development of a digital maturity model for farms based on the state of the art in methodological standards for maturity model development, and (2) a quantitative analysis the current situation of farms (n=123) in Germany, including an evaluation of this developed model. The developed model comprises nine dimensions and is designed as a diagnostic tool for strategic farm management. When applying the tool to the sample, it becomes obvious that the digital maturity of farms is more advanced in the dimensions describing technology and human factors, while organizational dimensions are less developed. The paper ends with implications and limitations of the presented research.

Dokumentenrepositorium der RUB (Ruhr University Bochum)
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Smart Agriculture and AI
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