The digital transformation of supply chains should revolutionize entire management processes and improve various aspects of sustainability. In particular, the plans of Industry 4.0 aim towards a digitization of several procedures by exploiting emerging technologies such as the Internet of Things, RFID and blockchain. The purpose of this study is to highlight how order and disruption events processes can be improved with the adoption of emerging technologies and how this reflects on the improvement of sustainability aspects. The study is based on the comparison of two simulation scenarios between three actors in the cheese supply chain. In particular, a first traditional scenario “as is” is simulated without the use of new technologies and is compared to a second scenario “to be” that adopts IoT, RFID and blockchain. The results show an improvement in time performance for managing both perfect and non-compliant orders. The developed framework highlights the impact of new technologies on sustainability aspects, showing further managerial implications.

Purpose: – The purpose of this paper is to explore the relationships between the openness of firms and their innovation and financial performances. Design/methodology/approach: – In order to investigate such relationships, data on inbound and outbound open innovation (OI) processes and performances of 110 worldwide top research and development (R & D) spending bio-pharmaceutical companies are collected via the consolidated annual reports and the PATSTAT database. The time period of the analysis is 2008-2012. Findings: – Regarding innovation performances, R & D productivity and revenues to patents ratio decrease with openness, whilst patents growth is not influenced by OI adoption. As to financial performances, sales growth exhibits a positive trend with openness, while operating profit and turnover decrease with OI adoption. Particularly, an inverted U-relationship with inbound and a U-shape one with outbound are observed as of operating profit. Research limitations/implications: – The study adds to the knowledge about the effect of openness on firms’ performances, a topic of increasing interest to academics, managers and policy makers. Both inbound and outbound facets of the phenomenon are taken into account. Practical implications: – Understanding how openness affects performances enables more informed decision making by managers, leading to a more effective use of OI activities. Originality/value: – The work provides new insights as to what “being open” means for a company, gauging both inbound and outbound transactions after a pecuniary perspective. Employing objective and continuous measures, the relevance of OI for the whole business of firms can be identified.

Digital technologies could be key to solving several open issues in the context of supply chain management (SCM) and sustainable development. The purpose of this article is to investigate the linkage between digital technologies and sustainable practices in SCM. Through a systematic literature review, the article aims to identify which technologies favour sustainable emerging practices considering the triple bottom line (3BL) perspective. In particular, the following 11 technologies were considered: 3D printing, artificial intelligence, blockchain, computing, digital applications, geospatial technologies, Internet of Things, immersive environments, open and crowd-based platforms, proximity technologies and robotics. For the purpose of this research, 5011 peer-reviewed scientific articles were analysed and a comprehensive overview of the use of digital technologies in SCM to favour sustainable emerging practices was proposed. Therefore, four indices that measure the environmental, social, economic and total 3BL sustainability of each technology were used to assess sustainable emerging practices. This study could be useful for both academics and practitioners. For the former, it provides a comprehensive understanding of the application of digital technologies in sustainable emerging practices for SCM. It highlights potential research gaps by proposing scenarios of future research developments. For the latter, the article aims to identify opportunities for the implementation of digital technologies within own company to improve operations management and, at the same time, promote sustainable development.

The growing attention to emerging technologies has raised several doubts regarding the sustainability aspects. Among the new technologies, blockchain has laid the foundations for a revolution in the financial field but also in the energy, tourism, medical, industrial and supply chains sectors. Through a systematic literature review, 37 documents were analyzed to describe the sustainable aspects generated using blockchain in supply chains. Therefore, the results achieved provide two levels of analysis. The former highlights the impact of the adoption of blockchain in supply chains based on the three dimensions of sustainability: environmental, economic and social. The latter shows the positive and negative impacts of each form of sustainability. The purpose of the work is to summarize the current state of the art in order to propose a future development agenda based on the need to simulate and define a measurability for each dimension of sustainability. Finally, the study provides a broad overview of practical and managerial implications for entrepreneurs and researchers. On the one hand, the work shows how the use of blockchain improves the profits and reputation of companies. On the other hand, it highlights several research gaps to be investigated and considered by researchers.

Scientific research on emerging technologies underscored the advantages of their implementation within production systems, with a particular focus on artificial intelligence (AI). In particular, the integration of AI with other cutting-edge technologies is a relevant topic which can potentially lead to huge impacts in terms of business performance. Yet, literature on the subject, although rich, is still fragmented, limited to specific cases and applications, but lacking in a comprehensive classification framework. Therefore, using a systematic literature review, this study provides an overview of how the combination of AI and other cutting-edge technologies could potentially improve market and organisational performance in business functions and processes. By classifying the literature of case studies and real-world applications into specific taxonomies, the research considers an indicator, the co-occurrence ratio, highlighting the most significant and emerging combinations between AI and other cutting-edge technologies, also specifying the contexts in which they are used. The study shows that AI is strongly interconnected with other cutting-edge technologies, suggesting a research agenda in which the integration of AI with other emerging technologies is promising within specific production systems contexts, providing benefits and opportunities for companies.

The nature of buyer‐supplier relationships has been closely linked to nation specific explanations and concern has been expressed in literature regarding the transferability of co‐design best practices to different firms and countries. On the other hand, many attempts to isolate best practices and to apply them on a global scale have been proposed in the literature. Contributes to the issue by analysing a controversial case study based on the Italian automotive industry. Results show that few aspects of the Japanese contextual features and American ones existed when the major Italian car maker decided to outsource component design and dramatically change its supply chain management approach. Moreover, despite the massive involvement of suppliers at a very early stage of the car maker new product development process, not all the best practices deemed to be necessary when implementing a co‐operative buyer‐supplier relationship have been applied. Argues that these results lead us to question the very nature of effective buyer‐supplier relationships as described by the dominant literature and suggests implications for practitioners and for future research.