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This study aims to analyse how the adoption of Industry 4.0 technologies can help different types of agri-food supply chains introduce and manage innovations in response to the challenges and opportunities that emerged following the COVID-19 pandemic.

A systematic literature review methodology was used to bring together the most relevant contributions from different disciplines and provide comprehensive results on the use of I4.0 technologies in the agri-food industry.

Four technological clusters are identified, which group together the I4.0 technologies based on the applications in the agri-food industry, the objectives and the advantages provided. In addition, three types of agri-food supply chains have been identified and their configuration and dynamics have been studied. Finally, the I4.0 technologies most suited for each type of supply chain have been identified, and suggestions on how to effectively introduce and manage innovations at different levels of the supply chain are provided.

The study highlights how the effective adoption of I4.0 technologies in the agri-food industry depends on the characteristics of the supply chains. Technologies can be used for different purposes and managers should carefully consider the objectives to be achieved and the synergies between technologies and supply chain dynamics.

The purpose of this study is to present a conceptual overview of the price transmissions within agri‐food supply chains. Analyzing price transmission in agri‐food supply chains is essential since imperfect price transition may result in market power. This is an important issue that needs attention, given that the structure of agri‐food retail in Europe, USA and Canada is experiencing rapid change towards retail power.

The conceptual overview draws on a review of different approaches in analyzing transmission of prices through an agri‐food supply chain based on supply chain analysis and price transmission studies.

Three key challenges are identified in analyzing price transmission in agri‐food supply chains: structure of the supply chain; factors affecting price transmission; and supply response.

This paper presents a novel concept in analyzing price transmission in agri‐food supply chains using price transmission literature and bi‐directional flows of information and products in agri‐food supply chains

Given the increasingly turbulent business landscape and unprecedented incidents (e.g. Covid-19), firms must achieve supply chain resilience (SCRes) as a dynamic capability to bounce back from adversities and ensure continuity of operations. The purpose of this study is to integrate the three interrelated [knowledge management, risk management culture (RMC) and resilience] but often separately discussed concepts to advance the understanding of their intertwined influence on SCRes in the agri-food supply chains.

This study uses a cross-sectional survey approach where quantitative data is collected from 349 participants from the Australian agri-food supply chains to test the proposed hypotheses.

Exposure to supply chain risks triggers the deployment of specific knowledge management practices in the agri-food supply chains. Further, the analysis on serial mediation suggests that firms’ knowledge management practices work sequentially (knowledge acquisition, assimilation and application) and develop a RMC to achieve SCRes amid supply chain risks.

The findings of this study inform practitioners and policymakers who seek to understand the key mechanisms that facilitate the development of SCRes when facing supply chain risks, particularly in the Australian agri-food supply chains.

The growth of the food industry through more resilient food supply chains could ensure sustained food supply and more employment opportunities.

Using dynamic capability theory, the authors devise a novel empirical model that explicates how knowledge management practices and RMC instigate the dynamic capability of SCRes amid supply chain risks facing agri-food supply chains.

This study aims to analyze which collective actions (cooperation, coordination and collaboration), present in the supply chain of artisanal products, generate positive effects in terms of social gains.

The authors conduct multiple case studies in the supply chain of seven artisanal agroindustries in the Distrito Federal, Brazil. The data were collected through interviews, documental analysis and direct observation. The data were analyzed using the content analysis technique proposed by Bardin (1977). With priori and a posteriori analytical categories, it was possible to conduct: a detailed analysis of the current situation of artisanal agroindustries regarding collective actions from the perspective of supplier/supplier and supplier/client and a detailed analysis for the possible effects of collective actions that impact the supply chain and the indicators of social sustainability of artisanal agroindustries.

The results indicate that cooperation and collaboration have contributed positively in the transactions of the products of the artisanal agroindustries, reflecting in social gains for the producing families. In this context, some collective actions can be highlighted as follows: the collective commercial spaces, the demonstration spaces of the artisan products in the clients’ environment, the prospecting of improvements from the final consumers, the face-to-face meetings with the suppliers, the product dissemination by the customer, the joint marketing actions and the rationalization of transportation logistics.

The study used a qualitative approach and findings and discussion are inherently interpretative and cannot be generalized.

This study can contribute to researchers and practitioners interested in collective actions contributing to the incrementation of social responsibility in agri-food supply chains.

Understanding how the collective actions support the inclusion of smallholding and artisanal producers in agri-food supply chains can help policymakers and managers to implement initiatives related to social responsibility, which can be measured using social indicators. This creates a social benefit through rural growth and economic development, generation of income and social productive inclusion of the artisanal producers in larger agri-food supply chains.

For the best of the authors’ knowledge, this is the first paper approaching collective actions as the main source of incrementation of social benefits, which can measure the incrementation of social responsibility in agri-food supply chains.

This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research.

This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics.

The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain.

The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders.

The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.

The food supply chain has faced many challenges due to its complex and complicated nature. Blockchain technology is one of the mechanisms used to improve agri-food supply chain processes by evolving organization capabilities. A study is being conducted to scrutinize the adoption of blockchain technology in the agri-food supply chain through the lens of the operational capability approach. It further makes an attempt to identify the capabilities of blockchain to improve supply chain processes.

The qualitative research method with semi-structured interviews was used to gather information from experts and professionals in the food supply chain and blockchain technology. The authors have adopted a systematic approach of coding using open, axial and selective methods to depict and identify the themes that represent the blockchain-enabled agri-food supply chain. The data were collected from 32 interviews of selected participants.

The result shows five critical areas where blockchain can come up to enhance the agri-food supply chain performance by providing traceability, transparency, information security, transactions, and trust and quality. Further, the study reveals that blockchain will provide safety, lower the cost of transactions and can create trust among users to communicate within the whole supply chain without the intervention of a third party. This study demonstrated that the capabilities need to be considered when introducing technology into the practice.

The study implies thought-provoking implications for bridging the theory-practice gap by examining the empirical data to demonstrate how the operational capabilities of blockchain technology further strengthen the agri-food supply chain. Additionally, this study provides some suggestions for utilizing the results and proposes a framework to understand more about blockchain use cases in the agri-food supply chain as well as extend the application of blockchain using an operational capability approach for future academic researchers in this area.

This study presented some more important managerial implications which reveal that the majority of organisations were in the initial stages of adoption process of blockchain technology. Further, the positive influence of managers and IT experts can help the information technology companies (IT) and stakeholders for developing and promoting blockchain solutions in the agri-food supply chain. The important implication of blockchain enabled agri-food supply chain is to maintain information security and incresae supply chain performance.

The study shows the operational capabilities of agri-food supply chain using blockchain technology. Blockchain can contribute in enhancing the agri-food supply chain to increase traceability and transparency and helps to reduce the risk of disruptions.

Circular supply chains (CSC) are particularly important for the agri-food sector, which faces strict requirements generated by increased food consumption as a consequence of world population growth, changes in lifestyle, development of consumer society and increasing health awareness. Recent disruptive factors have placed the vulnerability of agri-food supply chains in the spotlight. Therefore, the purpose of this paper was to identify the most manageable groups of risks in order to ensure the smooth operation of agri-food circular supply chains.

Seven main risk groups were evaluated in relation to nine criteria. To solve this multi-criteria decision making (MCDM) problem, a novel MCDM model, which integrates the best-worst method (BWM) and the COmprehensive distance-Based RAnking (COBRA) method in a grey environment, was developed.

Three risks were singled out, namely, product features risks, logistics risks and managerial risks. The obtained risks are those whose management would create the most positive effects for the stakeholders and help them achieve their primary goals regarding the circularity of agri-food supply chains.

This study investigates the main characteristics of the CSC in the agri-food sector, identifies, simultaneously explores and ranks all main risk groups associated with them and expands the possibilities for solving these kinds of problems by developing a novel MCDM model. It also identifies the most significant risks, both for individual stakeholders and for all stakeholder groups together.

Blockchain technology can overcome many complicated problems related to confidentiality, integrity and availability of fast and secure distributed systems in the agri-food supply chain. In emerging economies like India, blockchain application in the agri-food supply chain is still new, and their adoption is underdeveloped. This paper aims to investigate the drivers of blockchain technology adoption and their effect on the behavioral intention of stakeholders in adopting blockchain technology among various stakeholders in the agri-food supply chain. The study also develops a framework to enhance understanding of blockchain adoption in the agri-food supply chain as well as the stakeholders' motivation in seeking blockchain solutions.

Considering the most significant aspects of blockchain adoption in the agri-food supply chain, this study attempts to develop an adoption model by using the extended unified theory of acceptance and technology model with interfirm trust and transparency as additional factors. Data was collected from a sample of 200 stakeholders in the North Indian state of Punjab. The empirical analysis was carried out using structural equation modeling in Smart PLS3.

The findings supported the developed framework and the results of SEM indicate that all the paths are supported. In particular, the findings of the study reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, interfirm trust and transparency are the drivers of blockchain adoption and have a significant impact on the behavioral intention of stakeholders. Cumulatively, the results positively impact the performance of agri-food supply chain. From this study, it is found that the adoption of blockchain technology in agri-food supply chain enhances their performance.

The originality of the study lies in the developed framework, technology adoption will help them focus in the right direction by eliminating manual methods and converting the agri-food supply chain into a digitalization system.

This chapter introduces the volume’s theme by describing the challenges of sustainability in the agri-food industry and the critical role of agri-food supply chains. Following a description of traditional and sustainable supply chain management practices, we discuss the likely characteristics of sustainability-oriented innovations and how organizations pursuing higher levels of economic, social, and environmental performance will need to adapt their capabilities.

Drawing on the emerging concepts and practices from sustainable supply chain management as well as traditional and emerging concepts from innovation, we develop general propositions and expectations about how organizations might address sustainable effectiveness in their supply chains. The importance of the agri-food industry to all three pillars of sustainable effectiveness and predictions about the inability to feed future populations gives the discussion a certain urgency.

Sustainability-oriented innovations in the agri-food supply chain are different from traditional innovations. We develop propositions regarding the driving motivations, their nature and scope (i.e., more radical and systemic than incremental and focused), and the importance of a multi-stakeholder approach. The 10 cases presented in the volume are summarized.

The purpose of this paper is to report findings from a major UK research project covering six agri‐food supply chains, each spanning from farm to consumer.

The paper gives an overview of relevant literature out of which three research questions are posed. The research methodology is then outlined, followed by an overview of the methods used to collect and analyse the case study data. A summary of the research findings is then presented followed by a discussion of the findings in the context of the research questions. The paper concludes with an assessment of the validity of the research followed by some tentative suggestions regarding the need for, and potential benefits of, improving demand management in agri‐food chains.

The research has found that demand management is an area, which in practice is beset by difficulties and inefficiencies, which in turn affects the operational performance of the supply chains. Analysis of the characteristics of demand along the chains demonstrates a propensity for misalignment of demand and activity due to issues such as demand amplification and inappropriate production policies. The paper also identifies a number of operational inefficiencies and inconsistencies, which typically occur in the information systems and data handling procedures within these chains.

Suggestions are given as to how demand management processes could be improved through cooperative efforts across the supply chain.