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The authors investigate the contributions of social capital (SC) dimensions (bridging, bonding and linking) in crowdfunding campaigns by comparing the dynamics of agri-food businesses with those of two other sectors – cultural and technological.

The authors develop linear regressions on a proprietary data set of 5,290 projects launched on the Italian platform “Produzionidalbasso.com”, from 2014 to 2020.

The authors’ findings suggest that combining the three social capital dimensions (bridging, bonding and linking) has a more substantial overall effect on the number of backers involved in agri-food projects than in cultural and technological projects. Agri-food entrepreneurs effectively mobilize all resources embedded in the SC dimensions and therefore create the conditions to develop new ties that financially support the project.

Agri-food entrepreneurs may benefit from those results improving their funding strategies. Therefore, agri-food entrepreneurs can explore and exploit the instruments available on the CFD platform – video and rewards associated with the campaign – gaining more benefit from the backers involved compared with other project categories.

The study proposes a broader perspective regarding SC that encompasses the proponent, the company and the campaign with three different types of ties: bonding, bridging and linking. These SC dimensions can differently shape diverse sectors and this eclectic configuration can differentiate the effects of SC in crowdfunding campaigns. This study pinpoints how crowdfunding determinants change, based on project categories.

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 evaluate the impact of the subsidies established by Measure 123 of the Rural Development Policy on the productivity of a sample of agri-food and forestry companies in the region of Asturias over the period 2006-2009.

The authors estimate a stochastic frontier function which allows subsidies to be considered as affecting both the level of technical efficiency and technical progress.

The results show that while subsidies have a positive effect on the technical progress of companies in the agri-food industry, for the forestry industry, the effect materializes as an improvement in technical efficiency. Additionally, other factors affecting either, technical progress and technical efficiency were identified.

This study adopts a model that allows the separate identification of the effect of subsidies on the level of efficiency, on the one hand, and on the technical progress, on the other.

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.

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.

In order to meet the increasingly demanding needs of international markets, quality and food safety systems have become widespread among companies in the agri-food sector. This has led to a transformation of the agri-food sector that has also been detrimental for companies seeking to adopt such standards. Therefore, the aim of this paper is to define the determining factors that affect the process of adopting quality and food safety standards in agri–food companies, from the implementation of standards in company quality management systems to the process of certification of these standards.

To this end, a literature review is carried out in which the motivations, benefits, barriers and contingency factors are identified, analyzing and delimiting the scope and contribution of each of them to the company’s quality management.

The results show that the most important benefits and motivations are access to new markets and compliance with legislation, while the most important barrier is the high cost of adopting QFS systems within the company. Finally, the most relevant contingency factor when adopting these systems is the size of the company. Furthermore, the analysis shows that the results are closely interrelated. In conclusion, the consideration of the determinants identified in the paper contributes to a better implementation of agri-food quality and safety standards by companies.

This paper combines an analysis of the determining factors for the adoption of quality systems in the agri-food industry with the identification of contingency factors that, despite their importance throughout the process, are scarcely analysed in the rest of the literature. Finally, the work points out future lines of research that are still underexplored, such as the relationship between quality assurance and financial development; the role of contingency factors in the process of adopting these systems and the analysis of HACCP systems in the agri-food sector.

Since previous literature provides fragmented and conflicting results about the use of digital data for product innovation, the article aims to comprehensively explore and shed light on how agri-food firms utilise external and internal digital data sources when dealing with different product innovations, such as incremental, architecture and radical innovation.

This paper adopts an exploratory multiple-case study and a theory-building process, focussing on the agri-food industry. We collected primary and secondary data from eight manufacturing companies.

The findings of this research show an empirical framework of six agri-food firms’ digital data utilisation behaviours: the supervisor, the passive supervisor, the developer, the passive developer, the pathfinder and the conjunction behaviour. These digital data utilisation behaviours vary according to a combination of data sources, such as internal data related to inside phenomenon measures (e.g. data generated by sensors installed in the production plan) or external data (e.g., market trends, overall sector sales), and innovation purposes.

This article offers guiding principles that assist agri-food companies when utilising internal and external digital data sources for specific product innovation outcomes such as incremental, architectural and radical innovation.

The significance of external and internal data sources in stimulating product innovation has garnered substantial attention within academic discussions, highlighting the critical importance of analysing digital data for driving such innovation. Nonetheless, the predominant approach is to study a single innovation outcome through the lens of digital technology. In contrast, our study stands out by adopting a fundamental perspective on data sources, enabling a more nuanced explanation of the overall product innovation outcomes within the agri-food sector.

All firms' business models are based on their interdependencies with other parties in their ecosystems. The Internet of Things (IoT) is beginning to fundamentally disrupt the agri-food industry, forcing the ecosystem to change. When an ecosystem is transforming, the interdependencies among its actors can create friction. Technology providers and core actors should consider these interdependencies as they update their strategies for value creation and capture. The purpose of the present research is to consider what it might take for agri-food firms to capitalize on these interdependencies by moving from traditional business models to business models based on collaboration and open innovation.

The present paper draws on data from four online focus groups that we created to discuss how to co-create the business models agri-food firms need in a constantly changing environment. The paper presents an application of phenomenon-driven research (PDR), an engaged methodology. The study method enables novel pathways to develop and implement innovative solutions. This study draws on the interaction of theory and practice and involves multiple stakeholders with varying roles in the agri-food ecosystem.

The authors found that any open innovation setup in agri-food needs to constantly reconfigure itself to balance the needs of farmers and the needs of the market. This interplay can only support the IoT-enabled ecosystem if continuous interaction and negotiation occur among various stakeholders of the food system. When the farmers' needs and the market's needs are aligned, the space for developing a collaborative and open business model is prepared.

The insights gained from this study inspire action and commitment to common goals when developing collaboration-based business models (CBMs). The paper offers insights for players in the agri-food industry who are considering CBMs in the course of digital transformation.

The unprecedented economic crisis in Greece deeply affected entrepreneurship, which was traditionally characterised by low levels of innovation and competitiveness, the dominant presence of micro-sized enterprises and the weak signs of prosperity in large firms. This paper, in acknowledgement of the necessary transformations that production incurred due to the crisis, attempts to detect the characteristics of large manufacturing firms that contributed to their greater resilience during the unstable period of 2011–2016 by analysing the determinants of the higher profitability of firms. The analysis shows that firms that improved their productivity and sales levels and in parallel are flexible, in the sense that they have limited amounts of both assets and liabilities and thus a small risk, are those that presented higher profits during the period under study. Initial conditions, sectoral characteristics and the broader national environment do not seem to have a strong contributive role in firms' profitability.

The analysis follows a dynamic system generalised method of moments (GMM) estimation based on a panel data set of 125 Greek large firms over the time span 2011–2016.

The analysis shows that firms that improve their productivity and sales levels and in parallel are flexible, in the sense that they have a limited amount of both assets and liabilities and thus a small risk, are those that present higher profits during the period under study. Initial conditions, sectoral characteristics and the broader national environment do not seem to have a strong contributive role in firms' profitability.

The present paper attempts to explain the performance of the most dynamic large manufacturing firms in Greece by investigating the role of some of the most important determinants of firm profitability (according to data availability), acknowledging, however, some analysis' limitations as the absence of some other parameters like the export activity or the incorporation of any innovative features in the firms

The novelty of this paper lies in two points. First, the subject of the analysis is the large firms in Greece, which have not received much attention as Greek entrepreneurship was traditionally based on the light, labour- or resource-intensive production and the main bulk of the literature was not on that topic. Second, during the deep and protracted crisis that Greece has experienced, several production transformations have taken place that remain partly undiscovered. The present paper attempts to analyse the characteristics of large firms that drove their profitability and improved their resilience during the crucial time period 2011–16.

在希臘出現的史無前例的經濟危機深深地影響了該國的創業能力，而希臘的創業能力有其傳統特徵：低水平的創新與競爭力、微型企業佔主導地位和大企業呈現微弱的繁榮跡象。本文在承認這經濟危機導致生產必須轉型的前提下，研究那些於2011年至2016年這不穩定期間營運的大型製造公司，透過分析它們能取得更高利潤的決定因素，以探求是哪些公司特徵使其有更強的抵禦和復原能力。分析顯示，那些改善了生產率和銷售水平的公司，亦同時是靈活變通的公司 （所謂靈活變通，是指公司無論在資產抑或負債方面的數量上都是有限的，因此，它們只需冒小風險），就是那些在本研究涵蓋期間展示獲取更高利潤的公司。初始條件、行業的特徵和更廣泛的國家環境，就公司的盈利能力而言，似乎沒有扮演重要的促進角色。

分析用了廣義動差估計(GMM)這動態系統，基於涵蓋125間希臘大公司、橫跨2011年至2016年期間的面板數據。

分析顯示，那些改善生產率和銷售水平的公司，亦同時是靈活變通的公司 （所謂靈活變通，是指公司無論在資產抑或負債方面的數量上都是有限的，因此，它們只需冒小風險），就是那些在本研究涵蓋期間展示獲取更高利潤的公司。初始條件、行業的特徵和更廣泛的國家環境，就公司的盈利能力而言，似乎沒有扮演重要的促進角色。

本文擬透過探討一些決定公司盈利能力最重要的因素 （根據數據的可獲性），來闡釋在希臘那些最有動力的大型製造公司的績效，但亦同時承認分析有局限之處，那就是，分析沒有涵蓋一些其它決定因素：出口活動和那些公司有否納入任何創新功能。

本文有兩個創新之處：首先，本研究分析的對象是在希臘的大企業，而這個研究對象和課題未曾得到頗多的關注，這是因為希臘的創業能力一向基於勞動密集型或資源密集型的輕工業生產，而過去大部分文獻都不涉及這個課題。另外，當希臘經歷這個巨大且持久的危機時，國內有些仍未普遍察覺的生產轉型出現了。本文擬分析推動大企業於2011年至2016年間這關鍵時刻取得利潤，及改善其抵禦和復原能力的公司特徵。

The study proposes Material Flow Analysis (MFA) methodology as a tool to measure and qualify food waste in the Italian beef supply chain in each stage of the food supply chain, from farm to fork. In particular, the authors attempt to: (1) measure resources consumption and waste generation toward companies' and policymakers' sustainable evaluations; (2) enhance consumers' education in the field of agri-food resilience and sustainability.

MFA is applied to the entire Italian sector of beef consumed as packaged fresh product in 2020, during the Covid-19 pandemic. The analysis regards bovine, which represent roughly one-third of the national meat flow. To collect data, bottom-up and top-down mixed approach is applied. Subsequently, MFA results are used to calculate the wastage-related losses in terms of embedded natural resources (e.g. water, energy).

In 2020, it results that the Italian meat industry slaughtered more than 1.15 Mt of bovine to produce approximately 0.29 Mt of fresh meat, 0.69 Mt of by-products and over 0.015 Mt of food waste at households, while 0.15 Mt of beef meat is destined to catering services and food industry (out-of-boundaries). In terms of hidden natural resources, it emerged that, on average, more than 94bn m3 of water, approximately 101,000 TJ of energy and over 11,500 t of PET and PE trays are required to sustain the entire beef system.

This research is one of the few studies proposing MFA methodology as a tool to measure food waste and hidden associated flows in the agri-food sector. This analysis shows its utility in terms of natural resources (water, energy, materials) and waste quality/quantity evaluation, hidden flows accounting and development of new educational strategies toward food waste minimization and sustainability at household consumption.