Search results

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 work aims to investigate the current financial structure of Italian agri-food micro, small and medium enterprises (MSMEs) to understand how MSMEs face innovation challenges, which are also required to support sustainable development.

To reach the goal, an empirical longitudinal analysis is performed on a sample of Italian agri-food firms. In detail, to highlight the changes in the use of financial sources between 2013 and 2019, a descriptive ratio analysis is carried out on the data extracted by the AIDA database. In addition, statistical analyses were performed, including t-tests and U Mann–Whitney. Finally, a fixed-effects model is created to analyse the panel data. To ensure homogeneity, the sub-sectors of production and transformation are separately considered.

The financial structure analysis shows an increase in the equity percentage in the funding sources, attributable to an attempt to compensate for the reduction of banks' funding. However, even though this change has not compromised firms' profitability, the undercapitalisation of companies is still present. Therefore, more equity investments are required to support the innovation process.

The value of the present research is to highlight the choice of using new alternative financing sources instead of traditional banks' credit to implement sustainable and innovative development Italian agri-food sector (AFS). This choice is forced by reducing finance from banks and other financial institutions because of the credit crunch. This issue is even more relevant, considering that MSMEs have structural financial problems but have to fulfil the mission of pursuing innovation in the same way as large companies. Therefore, this paper expands the literature on agri-food, delving into an issue typical of MSMEs and combining agri-food with the need for innovation.

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.

This paper first analyses the direct effect of quality management practices (QMPs) on organisational ambidexterity (OA). It then analyses the mediating influence of the values of ambidextrous culture (AC). A novel theoretical model is tested in a quantitative study of the organic agri-food sector.

Quantitative methods and an online survey were used to collect and analyse 239 valid questionnaire responses. The data analysis method was partial least squares (PLS).

There is a relationship between QMPs and OA. AC partially mediates this link, strengthening the direct relationship between the two variables.

The proposed model is novel and creates opportunities for new lines of research. The concept of QMPs is considered in all its dimensions (processes, people, customers and suppliers). The study reaffirms the importance of the novel concept of AC in the literature. In this study, OA is defined in terms of the balanced processes of exploitation and exploration. The choice of sector is another original feature of the study.

Women-led enterprises can count on intellectual capital (IC) to implement a knowledge exchange process, improve managerial skills and provide themselves with more certain and reasonable financial resources. Recently, the literature has recognized a new paradigm of innovation, known as open innovation (OI) that emphasizes the strategic importance of relationships for knowledge development. The paper, first, aims to investigate if IC can support female agri-start-ups’ innovation process. Second, the aim is to analyse the ways in which IC supports female agri-start-ups.

The work uses a qualitative methodology and a multiple case study supports the paper. Data were acquired using direct semi-structured interviews. To read and interpret them, the authors resorted to the C.A.O.S. model that permits examining the direct relationships in terms of relational capital (RC) and also, observing the effect produced by the relational circuit in terms of human capital (HC) and structural capital (SC) in small and medium enterprises.

Findings reveal that RC plays a fundamental role in innovative start-up's development. The S-C and S-O links support business management and help fill the gender financial gap. This leads to improving entrepreneurial skills (HC) and promoting internal innovative solutions (SC). The S-A links can help the entrepreneur acquire more awareness of the market and compete better.

The research contributes to IC and gender studies, with a specific focus on RC and the innovation process. Although the literature has already investigated the role of RC in female entrepreneurship, only few previous research have conducted a qualitative analysis about the relationships established in the peculiar context of innovative agri-start-ups.

This study deals with changes in European Union's (EU's) trade potential in Machinery (HS 84–85) and Transportation (HS86-89) products.

The study uses a Structural Gravity model, Poisson Pseudo Maximum Likelihood (PPML) estimation together with panel data for the years 2002–2018 and a two-step procedure that employs predicted values of bilateral trade to compare potential to actual trade.

Results for Machinery products suggest a potential to expand trade with existing Regional Trade Agreements (RTAs) in the American continent, and countries of the IGAD region in Africa. In Transportation, a high trade potential with RTAs is found in the Americas, Africa and the Middle East. Policy suggestions concentrate on opportunities for enhancing trade relations through trade liberalization and agreement proliferation.

There are no studies to date, that examine “collective” measure of EU trade potential, that treats the EU as a single country. Changes in existing opportunities to expand trade, common for EU members, are of special interest for policy formulation, especially after the recent turmoil presented by the Global Financial Crisis (GFC) and the Greek Economic Crisis (GEC). Treating the EU as a single entity, is necessary for the formulation of an effective, common, EU trade policy. This study concentrates on the manufacturing sector to examine existing opportunities for the EU to expand trade, after the GFC and the GEC. This article deals with Machinery (HS 84 and 85) and Transportation (HS 86 through 89) products as they comprise a significant part of total EU exports, reaching 41% of total exports in 2016. Finally, this study offers a unique illustration of results through trade potential heat maps.

Although not yet fully defined, natural wine represents a sector that has gained the widespread attention of final consumers and, therefore, also of the restaurant world, because of its promise of sustainability. The objective of this paper is to understand Italian haute cuisine's interest in natural wine, with the aim of analysing what qualifies this product as sustainable.

After introducing a theoretical framework based on the concept of natural wine, a brief paragraph is dedicated to consumer preferences; subsequently, the analysis focusses on a questionnaire given to restaurateurs to determine the impact that natural wine has had in the Italian context. The results try to identify the importance that restaurateurs give to the characteristics of natural wine and their propensity for using such wine in their own businesses.

The analysis, conducted on a sample of medium-high range restaurants, highlights their strong interest in natural wine, as a result of the final consumers' attitude towards wine with characteristics attributable to sustainability. The positive perception by restaurateurs is similar across Italy, both geographically and in terms of the size of the restaurant.

The originality of the work is the focus on the world of restaurants. To date, the literature on natural wine remains embryonic and always refers to the final consumer. This research is the first step in a broader study that will involve a greater number of restaurants, extending beyond Italy to all of Europe, with the aim of understanding the real development potential of natural wine.

The aim of this study is to identify the way in which research on new business models in agri-food sector has been developed, in order to identify the main lines of work followed and determine a future research agenda in this field.

A systematic review of the literature is carried out, by applying the PRISMA method to identify and classify the main articles published on agri-food business models in journals included in the Web of Science Core Collection database.

The systematic literature review has identified three main forms of business models in the agri-food sector: sustainable business models, technology-based business models and cooperative business models. The three types of new business models are complementary and can sometimes be adopted together. The identification of these types of business models and the variants included in each of them is a valid starting point for new developments in this field.

The limitations of this study are those typical of any literature review and derived from the methodology used. The establishment of criteria relating to time, language, type of publication or database chosen means that this review may have left out relevant studies in this field of research. It is therefore recommended that new reviews be carried out with different criteria in the coming years in order to supplement the results obtained in this study.

Some research gaps were identified that should be further explored in the future. First, the relationship between digitisation and technological innovation in agri-food business models and the level of implementation of sustainable objectives in these business models has not been researched thoroughly. In addition, and despite the fact that the crisis caused by the COVID-19 pandemic has boosted innovation in agri-food business models, the authors have detected a lack of papers focused on solving problems arising from the shortage of raw materials or labour, possible energy crises or external dependence on local markets when it comes to meeting demand. The war in Ukraine has demonstrated the limitations of international markets, mainly the European market, when it comes to dealing with problems arising from this type of crisis.

This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.

This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.

Six clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.

This study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.