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The purpose of this paper is to strive to close the current research gap pertaining to potential implications of the blockchain (BC) for sustainable business models (SBMs) in the agri-food industry.

To answer the research question, the authors utilised the Value Triangle framework by Biloslavo et al. (2018) in order to explore the potential innovation of BC for SBMs in the agri-food industry. Then, the authors apply it to an in-depth exploratory case study of the Placido Volpone winery. The authors draw data from strategic plans, annual reports, corporate website and a semi-structured interview with the winery's founder.

The authors show how BC technology could be a source of SBM innovation in the agri-food industry.

BC technology has the potential to significantly change SBMs. Given the huge set-up investments by the industry, academic research investigating potential implications and supporting companies in their application of BC is needed. This paper explores how the implications of BC as source of innovation on SBMs can be investigated.

The research results of this study can be used by company leaders and managers to support the development of SBMs through the introduction of BC technology in their business activities.

The paper is novel because it investigates the relationship between SBM innovation and BC providing theoretical justification to SBM technological innovation in an agri-food setting. Additionally, the paper provides an empirical application of the framework by Biloslavo et al. (2018) for understanding the development of SBM through BC in the agri-food industry.

This paper aims at understanding how companies in the agri-food are reconfiguring their competitive strategies to face the coronavirus disease 2019 (COVID-19) pandemic. Literature has focused mainly on the effect of the pandemic on the supply chain or in its value chain but little has been said on the competitive strategies adopted to overcome the challenges posed by COVID-19 pandemic.

The study was conducted on Italian companies operating in the agri-food industry from May to September 2020, following a mixed method approach. First, a focus group with experts in competitive strategy and agri-food industry has been organized to identify the most important challenges that companies are facing. Second, through a structured questionnaire, data from 123 companies operating in the agri-food industry were gathered and analyzed with K-means clustering method.

Four clusters of companies were identified, each implementing different strategies to face the COVID-19 pandemic: “the cost fanatics”, “the brand focused”, “the sales centered” and “the strategists”. Furthermore, it was possible to identify new trends in competitive strategies to increase the added value that the Italian agri-food industry can provide to the customer.

The paper answers to the need for an investigation of the competitive strategies that agri-food companies have put in place to face the COVID-19 pandemic; moreover, it provides insights on how companies are adapting themselves to this rapidly changing environment. From a managerial point of view, it gives practitioners and managers useful insights on the different strategies that companies are undertaking to maintain a competitive advantage.

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.

This paper aims to analyse how local agri-food systems (LAFS), compared to other production models, can offer innovative responses to the important environmental challenges facing food production under the twin transition. These responses are more conducive to community inclusion and local development.

The paper combines territorial development, clusters and industrial districts literature with studies on agri-food industry environmental problems and twin transition technologies to develop an agri-food systems typology. This typology is based on a territorial approach to environmental challenges of food production and serves to illustrate the ways in which LAFS can provide innovative responses to these challenges.

The study allows to visualise the differences between LAFS and other agri-food production models, showing how the operationalisation and implementation of digitisation occur at territorial level and how rural communities are involved in the process. The theoretical proposal emphasises not assuming that technology is inherently beneficial but ensuring that its implementation is inclusive and generates social value for the communities.

The paper aims to enrich future research by adopting a territorial perspective to study the twin transition challenges associated with food production systems.

In the agri-food industries, particular importance is given to distribution. Indeed, maintaining good relationships with distributors is a necessity for industries seeking sound marketing performance. In this context, Moroccan agri-food companies recognize the importance of developing customer loyalty. They focus on maintaining good relationships based on trust with their distributors. Considerable research has investigated trust in business-to-business (B-to-B) relationships; however, research in the agri-food industry needs further investigation. Indeed, some past research studied the effect of benevolence on loyalty (Chen, 2008; Rampl, Eberhardt, Schütte & Kenning, 2012) but they ignored studying the effect on two types of loyalty – attitudinal and behavioral – in agri-food industries.

The paper here contributes to the literature in a number of meaningful ways. First, we explore loyalty strategies used by agri-food industries to maintain distributors. This enables us to better understand how trust can boost agri-food B-to-B relationships and distributor’s loyalty. We also investigate exactly the trust dimension (benevolence; credibility) that affects more loyalty in the agri-food industry. A better understanding of the trust dimension should provide practical guidelines as to how to facilitate loyalty in B-to-B relationships. In addition, we test the two dimensions of loyalty and the importance of the attitudinal one. Using structural equation modeling to analyze data, our findings confirm the importance of benevolence in relationships between Moroccan agri-food industries and their distributors. Indeed, the results explain that the development of customer loyalty is influenced by the development of benevolence in relationships with distributors, especially on attitudinal loyalty.

This paper aims to explore the antecedents and performance outcomes of supply chain integration in the agri-food industry in Latin America, a context that the literature on supply chain management has not extensively addressed. The quinoa supply chain, an industry that has encountered a boost in market demand in the past year, is selected as the unit of analysis. Supply chain integration dynamics are analyzed to provide recommendations about integration strategies and benefits in the agricultural sector.

A conceptual model was designed in this study, which includes the drivers (i.e. trust and commitment) and outcomes (i.e. operational and economic performance) of supply chain integration. The relationships were verified through a unique survey, the data of which were collected from 79 respondents operating at different levels of the Peruvian quinoa supply chain (i.e. suppliers, producers and customers). The proposed hypotheses were tested through the partial least squares (PLS) regression.

The results underscore the relevance of trust and commitment as enablers of supply chain integration initiatives in the agri-food industry. These factors are particularly essential for involving the farmers who are the most upstream actors in the supply chain and characterized by unstructured organizations. A high level of integration in these types of supply chain enhances the capacity to improve operational performance, which in turns positively affects the main economic indicators.

This study contributes to the discussion of supply chain integration in the agri-food industry, which remains unexplored thus far. It relies on a multitier collection of responses, which is extended to all the levels of the quinoa supply chain, thereby providing the study with a unique depth of analysis. Furthermore, this work contributes to the ongoing discourse on the performance impact of supply chain integration, which several SCM scholars have recently questioned.

The purpose of this study is to assess the potential economic cost of the COVID-19 pandemic on China's macroeconomy and agri-food system and provide policy recommendations to stimulate economic growth and agri-food system development.

An economy-wide multisector multiplier model built on China's most recent social accounting matrix (SAM) for 2017 with 149 economic sectors is used to assess the impact of COVID-19 on China's macroeconomy and agri-food system. SAM multiplier analysis focuses on supply chain linkages and captures the complexity of an interconnected economy.

The paper finds that both the macroeconomy and agri-food systems are hit significantly by COVID-19. There are three main findings. First, affected by COVID-19, GDP decreased by 6.8% in the first quarter of 2020 compared with that in 2019, while the economic loss of the agri-food system is equivalent to 7% of its value added (about RMB 0.26 trillion). More than 46m agri-food system workers (about 27% of total employment) lost their jobs to COVID-19 in the lockdown phase. The COVID-19 affects the employment of unskilled labor more than that of skilled labor. Second, when the economy starts to recover during the second and third quarters, the growth rate in the value added of the agri-food system turns positive but still modest. Many jobs resume during the period, but the level of agri-food system employment continues to be lower than the base. The agri-food system employment recovery is slower than that of other sectors largely due to the sluggish recovery of restaurants. Agri-food system employment drops by 8.6m, which accounts for about 33% of the total jobs lost. Third, although the domestic economy is expected to be normal in the fourth quarter, external demand still faces uncertainties due to the global pandemic. The agri-food system is projected to grow by 1.1% annually in 2020 with resuming export demand, while only by 0.4% without resuming export demand. These rates are much lower than an annual growth rate of 4.3% for the agri-food system in 2019. The results also show that, without resuming export demand, China's total economy will grow less than 1% in 2020, while, with export demand resumed, the growth rate rises to 1.7%. These rates are much lower than an annual GDP growth rate of 6.1% in 2019.

The results show that continuously reducing economic dependency on exports and stimulating domestic demand are key areas that require policy support. The agri-food system can play an important role in supporting broad economic growth and job creation as SMEs are major part of the AFS. Job creation requires policies to promote innovation by entrepreneurs who run numerous SMEs in China.

This paper represents the first systematic study assessing the impact of COVID-19 on China's agri-food system in terms of value added and employment. The assessment considers three phases of lockdown, recovery and normal phases in order to capture the full potential cost of COVID-19.

Agri-food firms face many challenges when assessing and managing their performance. The purpose of this research is to determine important factors for an integrated agri-food supply chain performance measurement system.

This research uses the Peruvian kiwicha supply chain as a meaningful context to examine critical factors affecting agri-food supply chain performance. The research uses interpretative structural modelling (ISM) with fuzzy MICMAC methods to suggest a hierarchical performance measurement model.

The resulting kiwicha supply chain performance management model provides insights for managers and academic theory regarding managing competing priorities within the agri-food supply chain.

The model developed in this research has been validated by cooperative kiwicha associations based in Puno, Peru, and further refined by experts. Moreover, the results obtained through ISM and fuzzy MICMAC methods could help decision-makers from any agri-food supply chain focus on achieving high operational performance by integrating key performance measurement factors.

The purpose of this paper is to analyze the relationship between knowledge management capabilities and successful open innovation within agri-food businesses. This particular piece of research focuses on agri-food businesses which utilize crowdfunding platforms.

The research adopts a survey-based methodology, which is useful in enhancing the generalization of results. The final sample includes 80 cases for the analysis. The model and the hypotheses were tested through a hierarchical regression model.

This research assesses the importance of knowledge management capabilities for successful open innovation in crowdfunding for agri-food businesses. In particular, it emerged that IT-based knowledge exploitation capabilities are enablers of open innovation strategies. Additionally, it emerged that knowledge exploration capabilities can positively mediate the relationship between IT-based knowledge exploitation capabilities and open innovation in the context of agri-food businesses.

To the authors’ best knowledge, few researchers have explored this topic and, as such, there is a need to better conceptualize this intriguing phenomenon and to provide empirical evidence to support it.

We examine the national regulatory framework in Turkey and its interactions with actors at various levels that set the stage for the shift from a Fordist economy to a post-Fordist one. Industrial maize production expanded in the 2000s in the face of a decline in agricultural employment and state-supported conventional crop production. We use the corporate maize industry as a case to demonstrate the change in regulation and its impacts.

Utilizing a strategic-relational approach, we analyze descriptive statistics on agricultural markets, news, sector reports, and archives of national regulation related to agricultural production and the agri-food industry to identify key actors shaping the transformation of maize production.

Actors influencing the national regulatory framework come from international and national regulatory institutions, and transnational and national agri-food corporations. Local maize farmers have actively participated in the transformation, thereby offering consent to the process. The Turkish state manages maize production through its national regulatory regime, but the agri-food industry drives the trajectory.

Adopting a strategic-relational approach contributes to our understanding of the dynamics at work in economic restructuring by shedding light on the interactions between political authorities and economic actors. Following a post-Fordist mode of regulation, the Turkish government uses particular political devices in a strategically selective manner, not overtly to enhance the short-term interests of the agri-food industry, but according to the long-term goal of promoting adaptation of agricultural commodity producers to the post-Fordist capitalist accumulation regime.

State institutions utilize the tools of political intervention in markets to ensure the long-term sociopolitical consolidation and legitimation of the post-Fordist accumulation regime.