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In the developing world, the adoption of new technology in agriculture has emerged as a tool to address the problem of investment-disincentive effect of capital investment on smallholders. In Indian agriculture, which is dominated by smallholders, technological adoption becomes very essential. In this regard, along with the government, local level organizations also provide training and other support to adopt the new agricultural technique. The present study is an attempt to assess the counterfactual impact of this sort of initiative in the context of Bihar, a state in India.

The study uses field survey data which are collected from the Gaya district of Bihar. Overall, 249 sample farmers are surveyed from 23 villages of four blocks of the Gaya district. There are two groups of selected farmers: treatment and control groups. Farmers who adopted the new technique belong to the treatment group, and otherwise, the control group. For analytical purpose, a propensity score matching method has been used to estimate the counterfactual impact of the adoption of the new technique of farming on farmers' agricultural income.

The study observes a significant improvement in the agricultural income of the farmers who adopted the new technique. New agricultural techniques, propagated through the local level organization, might be instrumental to enhance farmer's skill as well as income.

This type of approach may be adopted, complementary to the government's extension initiative to enhance farmers' income through adoption of the advanced farming process, as well as to improve the human capital of agriculture production.

The study laid a framework of assessing the counterfactual impact of intervention of local level organization and adoption of new farming techniques in the context of Bihar, India.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0606

The purpose of this study is to identify and analyze the barriers associated with the adoption of Industry 4.0 technologies in agricultural supply chains.

The study initially identified thirteen barriers by conducting a literature review and semi-structured interviews with key stakeholders. Subsequently, these barriers were validated and modeled using an integrated Fuzzy Delphi-ISM approach. Finally, MICMAC analysis was employed to categorize the barriers into distinct clusters.

The results provide considerable insights into the hierarchical structure and complex interrelationships between the barriers as well the driving and dependence power of barriers. Lack of information about technologies and lack of compatibility with traditional methods emerged as the two main barriers which directly and indirectly influence the other ones.

The robust hybrid Fuzzy Delphi and ISM techniques used in this study can serve as a useful model and benchmark for similar studies probing the barriers to Industry 4.0 adoption. From a theoretical standpoint, this study expands the scope of institutional theory in explaining Industry 4.0 adoption barriers.

The study is timely for the post-COVID-19 recovery and growth of the agricultural sector. The findings are helpful for policymakers and agriculture supply chain stakeholders in devising new strategies and policy interventions to prioritize and address Industry 4.0 adoption barriers.

It is the first comprehensive, multi-country and multi-method empirical study to comprehensively identify and model barriers to Industry 4.0 adoption in agricultural supply chains in emerging economies.

Despite a lot of agricultural initiatives by the government in a regionally diversified country like India, agriculture is poor, and farmer suicide cases are rampant. This study aims to socially transform and bring behavioural change among the farmers of southern India through the usage of new media. The research has gauged the factors that affect new media accessibility and usability, hindrances in the process and change of farmer’s behaviour through online social marketing bringing social transformation.

The study is action participatory in nature, and the data is triangulated by conducting a survey at the first level using the Delphi technique among 184 rural south Indian farmers who are smartphone users use new media, and at the next level, the farmers were requested to use WhatsApp for agricultural new sharing, and in the last stage, personal interview with entrepreneurs and farmers has been conducted to understand their new media adoption, e-learning and online social marketing.

New media is the best way to transform agricultural practices socially. It is a forum where all the farmers of the country can get together and address the issue of the agrarian crisis. Online social marketing (OSM) through WhatsApp is one of the best methods of behavioural change because different farmers can share their experiences and emotion for the crisis and give an appropriate solution to a problem. And, one of the most important features of OSM is it removes third parties from miscellaneous issues be it selling, buying or seeking and sharing information.

Despite trying to cover different hindrances in the way of social marketing of agriculture, the study is not free without its limitations. Language was a barrier, and this study require a lot of time to perceive the changes and adoption. Also, due to time constraint, the authors have categorically clubbed innovators, early adopters and early majority in the same layer opinion leaders and adopters of innovation. These could be analyzed separately in five layers, as suggested by Rogers (1995).

From the managerial perspective, the government should extend services that teach the agriculturists, farmers the use of new media. The marketers and makers of apps and software can tap into this business for launching products for farmers. We need apps designed only for farmers, where agricultural and farming practitioners all over the country and globe can interact about their products, conditions of agriculture and give solution to issues arising in agriculture and farming.

The researchers posit that there are hardly any studies that provide strategies to the agricultural and farming sectors in a regionally diversified country like India. The study is one of its first kind to propose new media strategies to reach out to the farmers of different regions and segmentation for a behavioural change and adoption of new media for better and sustainable agriculture. It has gauged into the factors that affect new media accessibility and usability among farmers and simultaneously gave strategy for behavioural change.

This paper aims to explore patterns of business financing and adoption of blockchain technology in the agricultural industry. The adoption of blockchain technology in terms of recording, storing, validating and securing data can solve a variety of agricultural problems such as agricultural business financing. If the banking and insurance industries are connected in real-time to activity data in the agricultural industry, they can create better credit ratings and profile models. So, finally, all parties in the agricultural industry have a greater chance to get business financing from banks.

This paper uses a case study research approach with a framework of analysis of the theory of adoption of technology, organization and environment (TOE) and the theory of “mindfulness of adoption”. The case study method has advantages when verification is still questioned or the application of certain theories in practice as phenomena and contexts that occur in the field in accordance with the application of blockchain technology into a relatively new business, both technically and practically in the field.

The findings indicate that there are no barriers to the availability of blockchain technology for technology adoption. The characteristics of this technology are very suitable for solving financing and supply chain business problems in the agricultural industry. However, the adoption of blockchain technology in agriculture shows that there is complexity in the organizational context involving internal and external organizations. The number of organizations and small parties involved in the agricultural process challenges the adoption of blockchain technology as new technology. Then, the external environment of technology, especially government regulations in developing countries, is still an obstacle to the adoption of blockchain technology.

This study faces several limitations, namely, the limited case of implementation of the blockchain technology due to the novelty of technology and government regulation. So that further research related to the adoption of blockchain technology needs to be done using field data such as surveys. Research related to the connectivity of the banking industry and other financial institutions also needs to be explored further, especially in creating a data-based credit risk model of the blockchain system.

On the practical side, case studies of technology adoption and its relationship with the financing of agricultural business are still little explored so this study contributes to exploring the application of blockchain technology in the agricultural industry. The adoption of blockchain technology has an impact not only on farmers but also on all parties involved in the supply chain including banks, insurance and other financial institutions. In addition, the distributed data exchange business model using blockchain technology is a new business model in the agriculture industry.

The purpose of this study is to evaluate food supply chain stakeholders’ intention to use Industry 5.0 (I5.0) drones for cleaner production in food supply chains.

The authors used a quantitative research design and collected data using an online survey administered to a sample of 264 food supply chain stakeholders in Nigeria. The partial least square structural equation model was conducted to assess the research’s hypothesised relationships.

The authors provide empirical evidence to support the contributions of I5.0 drones for cleaner production. The findings showed that food supply chain stakeholders are more concerned with the use of I5.0 drones in specific operations, such as reducing plant diseases, which invariably enhances cleaner production. However, there is less inclination to drone adoption if the aim was pollution reduction, predicting seasonal output and addressing workers’ health and safety challenges. The findings outline the need for awareness to promote the use of drones for addressing workers’ hazard challenges and knowledge transfer on the potentials of I5.0 in emerging economies.

To the best of the authors’ knowledge, this study is the first to address I5.0 drones’ adoption using a sustainability model. The authors contribute to existing literature by extending the sustainability model to identify the contributions of drone use in promoting cleaner production through addressing specific system operations. This study addresses the gap by augmenting a sustainability model, suggesting that technology adoption for sustainability is motivated by curbing challenges categorised as drivers and mediators.

The purpose of this paper is to critically examine the impact of a growth enhancement support scheme (GESS) on youth development in informal farm entrepreneurship in Nigeria. Its special focus is to investigate the impact of the GESS on rural youths’ adoption of new technologies needed to sustainably increase food security in Nigeria.

This paper adopts a survey research technique, aimed at gathering information from a representative sample of the population, as it is essentially cross-sectional, describing and interpreting the current situation. A total of 800 rural youths were sampled across the six geopolitical zones of Nigeria.

The result from the use of a bivariate probit model indicates that the GESS has a significant impact on rural youths’ innovations in farming.

This suggests that information and communication technology could provide new opportunities for making farming more interesting and enterprising for rural young people.

It implies that while old male and female farmers are less likely to adopt the new farming technologies needed to achieve Nigeria’s agricultural transformation agenda (ATA), a younger generation can help introduce new technologies, while also learning from traditional methods.

This research adds to the literature on informal farm entrepreneurship and rural communities’ debate in developing countries. It concludes that engaging youths in GESS should form the foundation of the ATA in Nigeria, which, in turn, would offer adequate combination of new and traditional solution to address the challenges of food insecurity in Sub-Saharan Africa.

This study uses a comprehensive theoretical framework that combines social cognitive theory and neighborhood effect to investigate the influence of neighborhood effects on farmers’ outcome expectations, observational learning and self-efficacy. This study aims is to analyze the mechanisms that underlie the adoption of social media by farmers for knowledge exchange in the agricultural context. Specifically, this research explores the role of neighborhood effects, outcome expectations, observational learning and self-efficacy in shaping farmers’ decision-making process regarding the use of social media platforms for exchanging agricultural knowledge.

The study data was collected through a sample survey conducted among 570 agricultural households residing in the provinces of Thai Nguyen, Cao Bang, Bac Kan and Phu Tho, located in the northern region of Vietnam. To analyze the data, structural equation modeling was used as the statistical technique of choice.

The findings of the study indicate a significant influence of neighborhood effects on outcome expectations, observational learning and self-efficacy. These factors, derived from social cognitive theory, also exhibit a positive association with farmers’ adoption of social media for knowledge exchange. Additionally, the study highlights that neighborhood contribute to a favorable adoption of social media among farmers via outcome expectations, observational learning, and self-efficacy.

The study is limited in examining farmers’ social media adoption for agriculture knowledge exchange in Northern mountainous area of Vietnam. This study could be replicated across various regions or nations, providing comparative insights into the adoption of social media among farmers for knowledge exchange.

The study findings suggest practical and innovative means to promote farmers’ social media adoption for agriculture knowledge exchange.

This study presents a pioneering approach by integrating social cognitive theory and neighborhood effect to elucidate the factors influencing farmers’ adoption of social media for the purpose of agriculture knowledge exchange.

The purpose of this paper is to investigate factors affecting the adoption of agricultural technologies in Sub-Saharan Africa, specifically the role of credit market inefficiency in adoption of agricultural technologies in the region.

Most importantly, the paper applies a 2SLS model on a unique data set on nine agrarian countries from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to provide evidence on how credit market inefficiency affects adoption of technologies in the sub region.

The study finds that the relationship between credit and technology adoption is one-way causal relation (i.e. credit access leads to technology adoption) as opposed to a two-way relation (i.e. mutual dependent relation). Further, the results indicate that credit market inefficiency can be a major barrier to the adoption of yield enhancing technologies in Sub-Saharan Africa. Further, the study showed mixed results for household variables. The results give credence to studies that highlight the importance of infrastructure and risk control in the adoption of new technologies.

The study is limited to only nine countries in Sub-Saharan Africa. Thus, the findings and interpretations should be considered as such. Further, there is the need for further research that considers all the region so as to establish whether or not there is a relationship between credit market inefficiencies and technology adoption in the region.

The policy implication is that microfinance institutions should consider scaling up their credit services to ensure that more households benefit from it, and in so doing technology adoption will be enhanced.

The main contribution of the study lies in its use of a unique data set from Sub-Saharan Africa’s intensification of food crops agriculture (Afrint) to investigation relationship between credit market inefficiency and technology adoption.

While the peer effects of technology adoption are well established, few studies have considered the variation in peer effects resulting from the mutual proximity between leaders and followers and the heterogeneity of farmers' learning technology. This study addresses the gap in the literature by analyzing the peer effects of technology adoption among Chinese farmers.

Drawing on a government-led soil testing and formulated fertilization program, this study uses survey data of farmers from three Chinese provinces to examine the peer effects of technology adoption. This study uses a probit model to examine how mutual proximity influences peer effects and their heterogeneity. Accordingly, farmers were divided into two groups, namely small- and large-scale farmers, and then into leaders or followers depending on whether they were selected by the government as model farmers.

Both small- and large-scale farmers are more likely to use formula fertilizer if their peers do so. However, a large-scale farmer is more likely to adopt formula fertilizer if the average adoption behavior of other large-scale model (leader) farmers is higher, while a small-scale farmer is more likely to adopt formula fertilizer if other small-scale non-model (follower) farmers have higher average adoption behavior. Moreover, the peer effect was weakened by geographic distance among small-scale farmers and by economic distance among large-scale farmers.

This study elucidates the means of optimizing social learning and technology adoption among farmers.