Environmental, Social, and Governance (ESG) factors are increasingly at the center of corporate and investment decisions. In this context, the aim of the paper was to test whether ESG factors impact on financial efficiency of a sample of firms belonging to different European sectors. This study enriches the literature of the field through a multi‐sectoral analysis. The Data Envelopment Analysis was used as widely considered in empirical and financial studies. Research findings showed that ESGs impact on firm efficiency differently over sectors: some of them are more sensitive than others to ESG factors. Furthermore, for most sensitive sectors the risk‐return characteristics related to ESGs were represented in order to provide insights for investors aiming to construct efficient and sustainable firm portfolios to invest in.

In the literature, circular economy (CE) and corporate social responsibility (CSR) are increasingly interconnected concepts. Turon at al. (2016) consider CE the guidelines of conduct for designing and developing good CSR strategies. In particular, the corporate management philosophy needs to be translated into mandatory CSR reports that better frames circular economy objectives by identifying and communicating actions to achieve sustainable development goals. The purpose of this paper is to explore a number of CSR reports in order to understand if cosmetic multinationals’ (MNC) nonfinancial reporting is focused on the concept of circular economy and if CSR reports ensure an adequate level of disclosure to circular strategies. Moreover, the paper highlights the advantages that arise by converging the concepts of CSR and CE. The originality of this paper lies on providing evidence on “how” MNC are implementing a circular model. This paper contributes to our understanding on the relation between CSR and CE; it assesses the state of the art of circular strategies in MNC and proposes a consolidation of the concept of CE in terms of sustainable strategic and managerial practices communicated to the market by CSR reports. Moreover, it brings MNC to a better understanding of the ways to communicate their new circular business model. The analysis reveals a good level of attention by MNC to circularity in drafting their CSR reports that in many cases are able to describe objectives and actions that embrace multiple dimensions.

This study aims to explore the impact of healthcare digitalization on smart hospital project financing (PF) fostered by pay-for-performance (P4P) incentives. Digital platforms are a technology-enabled business model that facilitates exchanges between interacting agents. They represent a bridging link among disconnected nodes, improving the scalable value of networks. Application to healthcare public–private partnerships (PPPs) is significant due to the consistency of digital platforms with health issues and the complexity of the stakeholder’s interaction. In infrastructural PPPs, public and private players cooperate, usually following PF patterns. This relationship is complemented by digitized supply chains and is increasingly patient-centric. This paper reviews the literature, analyzes some supply chain bottlenecks, addresses solutions concerning the networking effects of platforms to improve PPP interactions, and investigates the cost–benefit analysis of digital health with an empirical case. Whereas diagnostic or infrastructural technology is an expensive investment with long-term payback, leapfrogging digital applications reduce contingent costs. “Digital” savings can be shared by key stakeholders with P4P schemes, incentivizing value co-creation patterns. Efficient sharing may apply network theory to a comprehensive PPP ecosystem where stakeholding nodes are digitally connected. This innovative approach improves stakeholder relationships, which are re-engineered around digital platforms that enhance patient-centered satisfaction and sustainability. Digital technologies are useful even for infectious disease surveillance, like that of the coronavirus pandemic, for supporting massive healthcare intervention, decongesting hospitals, and providing timely big data.

This study aims to detect if and how big data can improve the quality and timeliness of information in infrastructural healthcare Project Finance (PF) investments, making them more sustainable, and increasing their overall efficiency. Interactions with telemedicine or disease management and prediction are promising but are still underexploited. However, given rising health expenditure and shrinking budgets, data-driven cost-cutting is inevitably required. An interdisciplinary approach combines complementary aspects concerning big data, healthcare information technology, and PF investments. The methodology is based on a business plan of a standard healthcare Public-Private Partnership (PPP) investment, compared with a big data-driven business model that incorporates predictive analytics in different scenarios. When Public and Private Partners interact through networking big data and interoperable databases, they boost value co-creation, improving Value for Money and reducing risk. Big data can also help by shortening supply chain steps, expanding economic marginality and easing the sustainable planning of smart healthcare investments. Flexibility, driven by timely big data feedbacks, contributes to reducing the intrinsic rigidity of long-termed PF healthcare investments. Healthcare is a highly networked and systemic industry, that can benefit from interacting with big data that provide timely feedbacks for continuous business model re-engineering, reducing the distance between forecasts and actual occurrences. Risk shrinks and sustainability is fostered, together with the bankability of the infrastructural investment.

Circular economy and corporate social responsibility in the agricultural system: Cases study of the Italian agri-food industry | Simona Fortunati, Donato Morea, Enrico Maria Mosconi | Agricultural Journals