Abstract

Simple SummaryWhile agricultural digitalization is viewed as a revolutionary shift that has the potential to regenerate agriculture, it may have disruptive impacts on agricultural extension and advisory organizations. Adaptive or transitional change (morphostasis) can help these organizations survive and achieve their goals through learning to perform their chosen strategies in a different environment. On the other hand, transformative change (morphogenesis) leads organizations to learn by questioning their purposes, value systems, routines, and operating paradigms, and by moving out of their comfort zone. In this conceptual article, we outline these two change pathways, and we present the learning opportunities that they create for extension and advisory organizations.Agricultural digitalization emerged as a radical innovation, punctuating the gradual evolution of the agrifood sector and having the potential to fundamentally restructure the context within which extension and advisory organizations operate. Digital technologies are expected to alter the practice and culture of animal farming in the future. To suit the changing environmental conditions, organizations can make minor adjustments or can call into question their purposes, belief systems, and operating paradigms. Each pattern of change is associated with different types of organizational learning. In this conceptual article, adopting an organizational learning perspective and building upon organizational change models, we present two potential change and learning pathways that extension and advisory organizations can follow to cope with digitalization: morphostasis and morphogenesis. Morphostatic change has a transitional nature and helps organizations survive by adapting to the new environmental conditions. Organizations that follow this pathway learn by recognizing and correcting errors. This way, they increase their competence in specific services and activities. Morphogenetic change, on the other hand, occurs when organizations acknowledge the need to move beyond existing operating paradigms, redefine their purposes, and explore new possibilities. By transforming themselves, organizations learn new ways to understand and interpret contextual cues. We conclude by presenting some factors that explain extension and advisory organizations’ tendency to morphostasis.

Highlights

  • Terms like “digital agriculture” and “smart farming” are today popular in general and scientific vocabularies, whereas the interest in the potential of digital technologies for transforming animal farming is growing apace

  • Building upon the organizational change models proposed by Laughlin [81] and using an organizational learning lens, we present and discuss two potential types of change and the associated learning pathways that extension and advisory organizations can undergo to adapt to the punctuation caused by the introduction of digital technologies in agriculture

  • The question emerges: what change pathways should extension and advisory organizations follow to respond to the challenge of digitalization? Morphogenetic change offers organizations the opportunity not to follow but to shape agricultural digitalization, while in parallel transforming them into learning organizations

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Summary

Introduction

Terms like “digital agriculture” and “smart farming” are today popular in general and scientific vocabularies, whereas the interest in the potential of digital technologies for transforming animal farming is growing apace. Intelligent technologies and big data offer farmers and other actors involved in the agrifood production and supply systems the opportunity to access enormous datasets that collect and store data derived from different sources, transforming agriculture from process-driven to data-driven. Such a shift alters the structure of physical-social farming systems, transforming them into cyber-physical-social systems [10].

Agricultural Digitalization as a Punctuational Change
How do Extension and Advisory Organizations React to Punctuational Changes?
Design archetypes
Extension and Advisory Organizations in the Time of Digitalization
Conclusions
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