International Journal of
Innovation, Management and Technology

Abstract

The paper explores artificial intelligence (AI) inagricultural (Ag) supply chains (SCs) and presents a newtypology to understand AI-based solutions in Ag SCs. Previousresearch has not focused on examining the connection betweenthe drive to integrate AI technology and where the SC’s AI isbeing integrated. A literature review approach was adopted andfollows a series of different analyses. Using the findings from theanalyses, the authors propose a typology created on thefoundation of two dynamics, the location of AI applications inAg SCs and the driving values to integrate the AI applications.The typology is presented in the form of a granular numericscale; the typology aims to create a tool of measurement to inferAI technology’s relation in the Ag SC and create a newviewpoint to investigate and provide insights for predictions ofAI’s future in Ag SCs. In addition, the new typology should aidAg firms in understanding and capturing potential synergiesstemming from the driving values of innovation. The authorsfound that AI applications with a strong relationship in SCprovide the greatest beneficiary relationship betweentechnology value creation and SC logistics. Furthermore, AIapplications will have the strongest relationship andimplementation when operating in collaboration with other SClocations and AI integrated firms.