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• W4386574469 abstract "The agriculture sector has undergone many revolutions, from the domestication of animals and plants thousands of years ago, to the “green revolution” a few decades ago, with extensive use of fertilizers and pesticides. Recently, a new phenomenon arose in this sector and expressed several names: Industry 4.0, Digital Farming, or Smart Farming. However, the food availability scenario in these emerging economies, with a large population (around 37% of the world) and increasing income, brings significant challenges in increasing food demand and significant changes in consumption pattern. This study fulfils the need by identifying the factors affecting the adoption of smart farming to understand the cause of low adoption despite having continuous support from the different emerging economies. The extensive study of the past literature helped us to build a framework of the factors that affect the intention to use smart farming. Data was collected from 596 respondents which helped to assess the research model. Partial least square (PLS) - structural equation modelling (SEM) technique to empirically validate the framework. The findings suggests that, Relative Advantage, Compatibility, Ease of use, Attitude, Agriculture Extention Communication effectiveness, and Government support positively influence the adoption of smart farming. At the same time, as we hypothesized, perceived risk negatively influences smart farming adoption. While Visibility and Result demonstrability do not influence smart farming adoption. In the case of Attitude, Relative advantage, Compatibility, Ease of Use, and Result demonstrability have a positive influence, and Compatibility and Visibility found to have no impact on Attitude. In addition, the independent variables explain the variance of 72.9%in the adoption of smart farming. The study has been drawn from sample in Indian context, as well as the data was cross sectional in nature. Hence, the generalization of the outcome are limited to the economies having similar socio-economic and cultural representations. among the practical implications the most important factor in the adoption of smart farming is Relative Advantage. This indicates that using IOT-based appliances or services helps farmers manage their business operations smoothly, increases productivity, and provides new opportunities. The second important factor in the adoption of the smart farm is Attitude. It implies that the farmers or agricultural workers have a favorable opinion after using tech-enabled services. Hence, a positive attitude increases the expectations of continuous usage. However, to maintain this continuous usage, the important factors influencing the Attitude are the Relative Advantage, Ease of use, and result demonstrability. It helps us understand that every innovation introduced in the market will only serve a purpose when it brings some advantage, either in economic or non-economic terms. At the final stage, when farmers form the right Attitude to adopt a particular innovation, the most important agriculture extension service is the demonstration of the device or service Though, Government support is also a significant factor influencing the adoption, which helps these farmers during these economic uncertainties. This implies that in most developed or developing economies, the schemes implemented by these government bodies, either in administrative or financial terms, are impacting these farmers at a large scale. Most of the studies conducted in the past have measured the role of smart farming adoption in singularity. Vast literature from the past shows that either 2 or 3 variables of psychological dimension have tried to understand the cause of low adoption of smart farming. Hence, based on the researcher's knowledge, this is one of the very few studies that not only measures the impact of most of the psychological dimensions but also attempts to understand the impact of environmental and technological dimensions. The study tried to determine each construct's individual and relative impact on Attitude and smart farming adoption." @default.
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• W4386574469 date "2023-11-01" @default.
• W4386574469 modified "2023-09-29" @default.
• W4386574469 title "Antecedents of smart farming adoption to mitigate the digital divide – extended innovation diffusion model" @default.
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• W4386574469 doi "https://doi.org/10.1016/j.techsoc.2023.102348" @default.
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