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Information technology adoption in Indonesia’s small-scale dairy farms
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Information technology adoption in Indonesia’s small-scale dairy farms
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Information technology adoption in Indonesia’s small-scale dairy farms
Information technology adoption in Indonesia’s small-scale dairy farms
Journal Article

Information technology adoption in Indonesia’s small-scale dairy farms

2024
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Overview
The use of modern digital technologies contributes to small-scale dairy farmers enhancing their business processes, increasing productivity, and addressing challenges related to sustainability. Small-scale dairy farmers are the ones most left behind in the process of implementing information technology. Therefore, there is a need to implement information technology that pays attention to the beneficial aspects seen from the aspect of small-scale farmers. The level of information technology application and human resource readiness can be measured as a basis for formulating strategies for implementing information technology. This research aims to assess the factors that affect information technology adoption among small-scale dairy farmers in Indonesia. The factors that influence the level of adoption of new information technology for small-scale dairy farmers were identified by literature studies, surveys, data analysis carried out using the Partial Least Squares-Structural Equation Modelling approach, and patterns related to aspects of technology application for small-scale dairy farmers. The findings in this research show that the factors that influence information technology adoption for small-scale dairy farmers consist of Digital Skill, Supporting, Perceived Ease of Use, Perceived Usefulness, Attitude Toward Use, and Behavioral Intention to Use. This research identified the pattern that the more complete the recording habits, the higher the level of farmer adoption of the use of new information technology. Apart from that, farmers with moderate incomes show a higher readiness to embrace technology, possibly driven by their aspiration to advance their businesses. Contrastingly, higher-income farmers exhibit less enthusiasm, potentially due to contentment with their current status and apprehension towards new risks. By offering a nuanced analysis of these factors, this study contributes significantly to the literature on agricultural information technology adoption, particularly within the context of small-scale dairy farming. It presents a novel understanding of the barriers and enablers to technology adoption, advocating for more personalized and contextually relevant support strategies. Furthermore, this research provides valuable insights for policymakers, extension agents, and technology developers on designing and implementing information technology adoption strategies that are not only technically viable but also socially and culturally acceptable.