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This paper aims to explore how the Italian wine industry discloses corporate social responsibility (CSR) practices and quality certifications and the corresponding determinants via websites. The study also aims to investigate the relationship between CSR practices and financial performance. The information consistency between the quality certificates reported on corporate websites and official database statements is also explored. Lastly, the paper investigates how the relationship between the size of wineries and CSR disclosure changes according to firms' geographic location.

This paper analyses CSR corporate communication via the websites of a sample of Italian wineries by adjusting the theoretical framework developed by Amran (2012) to the wine sector's peculiarities. Moreover, a cross-certification analysis and a moderation analysis were performed to fulfil the purpose of the research.

The analysis revealed the extensive use of CSR disclosure via websites. It was found that company size positively affects CSR disclosure and Quality Certification Disclosure (QCD), while geographic location slightly moderates the relationship between the two variables. In addition, a negative relationship between CSR disclosure and corporate financial performance and its reverse causality emerged. Moreover, for most wineries, information consistency between the quality certificates reported on corporate websites and official database statements was observed.

The study's main limitation is that the search process was performed during lockdown. Therefore, the examined issues could change in the near future due to the shift in priorities that the COVID-19 pandemic is determining.

The results can help managers implement CSR disclosure and QCD practices to enhance stakeholder legitimacy and enable their companies to compete in strongly competitive international markets.

The paper represents the first study investigating online QCD and its consistency in the Italian wine sector.

This paper investigates the extent to which the COVID-19 pandemic has accelerated service innovation in the restaurant sector. It explores the use of digital technologies (DT) as a safety-empowerment and resilient strategy in the food-service industry during the pandemic. It also investigates the impact of DT on customers' risk perception (CRP) and customers' intention to go to restaurants (CIR) in Italy.

Based on the theory of planned behaviour and perceived risk theory, this study investigates a sample of customers residing in Italy. Multiple regression and mediation analyses are conducted to test the research hypotheses, adapting the logic model developed. Using the bootstrapping technique, this study also explores whether the pandemic has moderated the relationship among several variables adapted from the literature. Robustness tests are also performed to corroborate the analysis.

The pandemic has accelerated the food-service industry's digital transformation, forcing restauranteurs to implement DT to survive. Findings show that DT support restauranteurs in implementing innovative services that reduce interactions and empower cleanliness among workers and customers, reducing CRP and preserving CIR. Thus, managing risk perception is helping the restaurant sector to recover.

Practical implications are presented for policymakers to catalyse the digital transformation in small- and medium-sized restaurants. The results may also be beneficial for entrepreneurs who can implement innovative service practices in order to reduce interaction and empower cleanliness levels. Moreover, academics can use these results to conduct similar research in other geographical contexts.

The present research represents the first study investigating the relationship between the use of digital technologies and the intentions of customers to go out for dinner during the ongoing pandemic in Italy.

This paper investigates circular economy communications and stakeholder dialogic engagement with circular economy posts published by European agri-food companies on Twitter from the spread of the COVID-19 pandemic. It explores the use of social media as a dialogic tool to activate circular economy engagement in order to involve all supply-chain actors on the route to a circular transition.

A coding framework based on the reclassification of the Glossary of Circular Economy, according to a 4-R paradigm (reduce, reuse, recycle and recover), was developed for the analysis. All tweets published by a sample of European agri-food companies, starting from the start of the COVID-19 pandemic until data extraction, were collected, purified and analysed.

Agri-food companies showed a higher level of engagement through social media, even if mainly focused on “recycling” and “general circular economy” issues. In general, awareness among social network users of the need to be part of the circular economy transition emerged. Moreover, the highest percentage of posts published by the companies' Twitter accounts was informative rather than interactive. In addition, starting with the COVID-19 pandemic crisis, the circular economy has arisen as a central topic of debate and a driver for the rethinking process of the agri-food business community.

To the best of the authors' knowledge, this research represents the first study focused on circular economy engagement through social media from the company perspective in the agri-food industry.

The improvement of the agri-food supply chain sustainability plays pivotal role in the planet’s survival and in overcoming of climate disasters. Digital technologies that support the collection of Big Data produced along the agri-food supply chain (SC) emerge as powerful tools to accelerate the ecological transition of the sector. Digital technologies can support the implementation of circular business models by sharing data across the SC, monitoring in real time the materials flow, automatizing some agricultural practices and improving the decision-making through the development of decision support systems. Despite the relevance of these arguments, there is a lack of shared frameworks and guidelines for the effective development of a “data-driven circular economy” in the agri-food SC. In this scenario, this chapter examines how scholars investigate data-oriented strategies to accelerate the ecological transition and the adoption of circular economy (CE) models in the agri-food sector (AFS). To this end, a systematic literature review (SLR) was performed. Twenty-nine papers were selected following a rigorous sampling process. Both bibliometric and descriptive results are provided in the first part of this chapter. According to the analytical framework developed, the selected papers were examined in light of the “reduce, reuse and recycle” (3R) paradigm. Moreover, an additional R was retrieved from the systematic review (i.e., redesign), broadening the analytical perspective. The results indicate that scholars have predominantly provided theoretical contributions concerning the role of digital technologies and big data for the agri-food circular transition from a macro-perspective. The findings are useful for policy-makers and managers, who can promote and implement the big data-oriented approach to facilitate the circular transition. Limitations and future research directions are also provided.

The aim of this paper is to map and analyse the state of the art of eco‐energy labelling and its potential as a fundamental component in the transition process towards eco‐sustainability.

A detailed scenario of trends in eco‐energy labelling systems, both on an international and European Union scale are outlined, followed by identification and analysis of the key representative experiences. Subsequently, the main constraints that limit their full potential as a benchmark and tool of improved customer communication for environmental sustainability have been highlighted and critically analysed.

The full implementation of eco‐energy labelling, as a authentic driving force in sustainability building processes, requires the elimination of the critical factors identified. Therefore, standardisation of benchmarking methodologies, based on improved customer information mechanisms regarding qualitative and quantitative indicators, need to implemented. A strong commitment on the part of all participants involved, to define a multi‐level framework, capable of promoting a recognised international rating scheme in needed.

The most significant implications regard the attempt to classify and coordinate all the information concerning instruments, initiatives, policies and strategies related to eco‐sustainability.

The paper is a contribution towards pinpointing the current fragmented scenario of eco‐energy labelling tools with the aim of re‐conducting them into a coherent and more functional whole.

Big data is a buzzword of our times, and yet the awareness of what big data is, how it permeates our daily lives, and how it is applied either in the policy-making process or in the business sector remains relatively low. From a different perspective, while specialists, that is, practitioners and researchers, dealing with the technical facets of big data successfully uncover new features, new domains, and new opportunities related to big data, there is a need of evaluating and examining these findings through the lens of social sciences and management. This chapter offers an insight into key issues and developments that shape the broad and multi-directional big data debate. To this end, the content of the book is elaborated and the key findings are highlighted. In this way, this chapter serves as a very useful guide into the question of how big data is applied across issues and domains and how it is valid and relevant to all of us today.