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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

Although suitable leadership is crucial for chain coordinators (chief executive officers (CEOs), managing directors and heads of departments) to achieve the effectiveness of supply chain coordination (operational and social performances contributing to financial performance), the potential caveats in New Zealand-Euro agri-food supply chains are the lack of theoretical as well as empirical investigations that scrutinize the linkages between leadership styles, their interactions and the effectiveness of supply chain coordination. The purpose of this study is therefore to address the above knowledge gap.

Structural equation modelling and interaction effects are applied to the data collected from chain coordinators working in the selected New Zealand-Euro agri-food supply chains (dairy, meat, fruits and vegetables).

The results indicate that participative leadership is more strongly correlated with the effectiveness of supply chain coordination than directive leadership. The directive leadership is also significant, which leads towards the adoption of strategic leadership. Interaction effects further conclude that companies perform better when their chain coordinators apply strategic leadership practices. Moreover, operational (service quality and product quality) and social (trust in and satisfaction with supply chain partners) performances are the key determinants of financial performance (increased sales, profit and market share).

The results enhance the understanding of chain coordinators and help them to achieve coordination effectiveness among agri-food supply chain partners. Therefore, the study provides practical implications linked with contemporary international agri-food supply chains.

This study provides in-depth analysis to develop a comprehensive theoretical framework, which helps to confirm the complicated linkages between the underlying constructs, with the specific characteristics of New Zealand-Euro agri-food supply chains. Consequently, the results also clarify the earlier ambiguous findings from other industries and countries.

Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance.

The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations.

The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present.

This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.

The world is experiencing technological disruptions due to the dynamic business environment, technological advancements, customer preferences, increasing competitive pressure, globalization of supply chains, and environmental disruptions. Industry 4.0 technologies are paving the way for increased production efficiency and worker safety while optimizing resource utilization and improving sustainability. Industry 4.0 technologies find their applications in almost all sectors, but few studies explore industry 4.0 technologies in agriculture. The agri-food sector has experienced an upward trend in digitalization projects. The digital agri-food supply chains will help in the autonomous decision-making process, leading to enhanced visibility in the agri-food supply chains through real-time traceability solutions, thereby leading to improved food quality. It is anticipated that industry 4.0 technologies in the agri-food supply chains will impact climate change disruptions and improve the unequal distribution of resources in the agricultural sector. The present study highlights various industry 4.0 technologies and their applications in the agri-food supply chains. Based on the findings from a literature review, the study establishes 10 key performance indicators that will benefit decision-making in a digital, data-centered environment.

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 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.

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 study aims to explore how sustainable business models (SBM) can be developed within agri-innovation systems (AIS) and emphasize an integration of the two with a systemic understanding for reducing food loss and value loss in postharvest agri-food supply chain.

This study conducted longitudinal qualitative research in a developing country with food loss challenges in the postharvest supply chain. This study collected data through multiple rounds of fieldwork, interviews and focus groups over four years. Thematic analysis and “sensemaking” were used for inductive data analysis to generate rich contextual knowledge by drawing upon the lived realities of the agri-food supply chain actors.

First, this study finds that the value losses are varied in the supply chain, encompassing production value, intrinsic value, extrinsic value, market value, institutional value and future food value. This happens through two cumulative effects including multiplier losses, where losses in one model cascade into others, amplifying their impact and stacking losses, where the absence of data stacks or infrastructure pools hampers the realisation of food value. Thereafter, this study proposes four strategies for moving from the loss-incurring current business model to a networked SBM for mitigating losses. This emphasises the need to redefine ownership as stewardship, enable formal and informal beneficiary identification, strengthen value addition and build capacities for empowering communities to benefit from networked SBM with AIS initiatives. Finally, this study puts forth ten propositions for future research in aligning AIS with networked SBM.

This study contributes to understanding the interplay between AIS and SBM; emphasising the integration of the two to effectively address food loss challenges in the early stages of agri-food supply chains. The identified strategies and research propositions provide implications for researchers and practitioners seeking to accelerate sustainable practices for reducing food loss and waste in agri-food supply chains.