Purpose: The present paper is aimed at 1) performing a systematic literature review (SLR) on applications in the perspective of sustainable agri-food supply chain (SC) of blockchain technology (BCT); 2) analyzing the selected literature, focusing on the advantages of the sustainable uses of the blockchain of the aforementioned SC and 3) presenting an outlook and research directions capable of addressing unresolved problems.Design/methodology/approach: The SLR was conducted using detailed criteria to identify academic articles. Moreover, specific keywords and databases were used. The time frame considered included the years 2010–2020.Findings: The review analysis indicates that the use of BCT or BCT supported by ICT/IoT contributes to sustainability of agri-food production. However, this technology can lead to several challenges such as scalability, privacy leakage, high cost and connectivity problems.Research limitations/implications: The paper demonstrates that BCT can widely use agri-food supply chain due to its intrinsic characteristics. However, it is not excluded that the criteria chosen may not have identified important articles regarding BCT, the agri-food sector and sustainability.Originality/value: Although the body of academic literature published on this topic is expansive, the effect of BCT on the agri-food SC's sustainability aspects has not yet been adequately analyzed. Thus, the article is aimed at investigating how BCT is used in the SC. In particular, the article is intended to update information about BCT and its impact on sustainability.

Bitcoin is a digital currency based on a peer-to-peer payment system managed by an open source software and characterized by lower transaction costs, greater security and scalability than fiat money and no need of a central bank. Despite criticisms about illegal uses and social consequences, it is attracting the interest of the scientific community. The purpose of this work is to define and evaluate the current trends of the literature concerned with the sustainability of bitcoin, considering the environmental impacts, social issues and economic aspects. From the analysis it emerges that the transition of the whole monetary system in the new cryptocurrency will result in an unacceptable amount of energy consumed to mine new bitcoins and to maintain the entire virtual monetary system, and probably bitcoin will remain a niche currency. Blockchain, which is the base for a distributed and democratically-sustained public ledger of the transactions, could foster new and challenging opportunities. Sharing the framework of medical data, energy generation and distribution in micro-grids at the citizen level, block-stack and new state-driven cryptocurrencies, may benefit from the wide spread of blockchain-based transactions. Under the perspective of its being a driver of social change, bitcoins and related blockchain technologies may overcome the issues highlighted by numerous detractors.

Purpose: Circumstances that are have a significant impact on it. In particular, environmental sustainability related to the increase of worldwide population, and market demand for agricultural products (with consumers more and more aware about cultivation and breeding techniques and interested in healthy and high-quality products) represent two of the key challenges that the agricultural sector is going to face in next years. In such a landscape, technological innovations that can support organizations and entrepreneurs to face these problems become increasingly important, and Industry 4.0 is the most striking example. Indeed, the Industry 4.0 paradigm aims to integrate digital technologies into business processes to raise productivity levels and to develop new business models. Accordingly, digital technologies play a similar role in the precision agriculture domain, and the purpose of this paper is to understand if the technologies at the basis of these two paradigms are the same or not. Design/methodology/approach: The present work investigates how the two domains of Industry 4.0 and precision agriculture are connected to one another by analyzing the most used technologies in both the fields in order to highlight common patterns and technological overlaps. To reach such goal, an approach combining manual and automated analysis was developed. Findings: The research work generated three main results: a dictionary of precision agriculture technologies including 324 terms; a graph, describing the connections between the technologies composing the dictionary; and a representation of the main technological clusters identified. Originality/value: These show how the two domains under analysis are directly connected and describe the most important technologies to leverage when approaching digital transformation processes in the agricultural sector.