The emerging of the fourth industrial revolution, also known as Industry 4.0 (I4.0), from the advancement in several technologies is viewed not only to promote economic growth, but also to enable a greener future. The 2030 Agenda of the United Nations for sustainable development sets out clear goals for the industry to foster the economy, while preserving social well-being and ecological validity. However, the influence of I4.0 technologies on the achievement of the Sustainable Development Goals (SDG) has not been conclusively or systematically investigated. By understanding the link between the I4.0 technologies and the SDGs, researchers can better support policymakers to consider the technological advancement in updating and harmonizing policies and strategies in different sectors (i.e., education, industry, and governmental) with the SDGs. To address this gap, academic experts in this paper have investigated the influence of I4.0 technologies on the sustainability targets identified by the UN. Key I4.0 element technologies have been classified to enable a quantitative mapping with the 17 SDGs. The results indicate that the majority of the I4.0 technologies can contribute positively to achieving the UN agenda. It was also found that the effects of the technologies on individual goals varies between direct and strong, and indirect and weak influences. The main insights and lessons learned from the mapping are provided to support future policy.

Modern pedagogy is moving away from traditional transmissive approaches, and it is extensively embracing constructive theory of learning. A prominent practical embodiment of this paradigm shift is a method called Constructive Alignment (CA). This approach focuses on learners’ actions and starts from a clear communication of the Intended Learning Outcomes (ILOs) of the focal unit. ILOs are made of content, a context, and an Educational Goal Verb (EGV). According to the Bloom Taxonomy, the EGV is the core of an ILO and refers to the action the learners are expected to be able to master after completing the educational unit. The ILO is then aligned to the course activity using the EGV (i.e., EGVs are enacted through Teaching and Learning Activities (TLAs) and verified through Assessment Tasks (ATs)). Despite the ILO definition being extensively investigated and described, the extant literature has poorly explored how to devise suitable TLAs and ATs, lacking comprehensive contributions that identify and describe the different kinds of TLAs and ATs available to course designers. In view of the above gap, the authors searched and reviewed the literature (scientific papers (i.e., top-down, deductive approach)) and practices in higher education (university websites and blogs (i.e., bottom-up, inductive approach)) to identify all the possible sources of TLA and AT descriptions available. The results propose standardized templates that support the course design process, providing extensive descriptions of TLA and AT based on the best practices identified. The proposed templates include the core dimensions that proved to be suitable for designing traditional and remote-learning activities. Finally, the examples provided in the paper show how to use these templates on a few kinds of selected on-campus and digital TLAs and ATs from the educational units identified in the Erasmus+ MAESTRO project, which is based on Industry 4.0 technological enablers and their application in support of manufacturing sustainability.

Augmented (AR) and Mixed Reality (MR) technologies are enablers of the Industry 4.0 paradigm and are spreading at high speed in production. Main applications include design, training, and assembly guidance. The latter is a pressing concern, because assembly is the process that accounts for the biggest portion of total cost within production. Teaching and guiding operators to assemble with minimal effort and error rates is pivotal. This work presents the development of a comprehensive MR application for guiding novice operators in following simple assembly instructions. The app follows innovative programming logic and component tracking in a dynamic environment, providing an immersive experience that includes different guidance aids. The application was tested by experienced and novice users, data were drawn from the performed experiments, and a questionnaire was submitted to collect the users’ perception. Results indicate that the MR application was easy to follow and even gave confidence to inexperienced subjects. The guidance support was perceived as useful by the users, though at times invasive in the field of view. Further development effort is required to draw from this work a complete and usable architecture for MR application in assembly, but this research forms the basis to achieve better, more consistent instructions for assembly guidance based on component tracking.

Sustainable Business Models (SBM) have been seen as a suitable vehicle for organizations to convey sustainability. The SBM requires a company's business strategy to be shaped around sustainability goals. These goals can be integrated into the business strategy by creating an internal commitment focused on sustainability. Enablers play a crucial role in this integration process. The 2030 Agenda issued by the United Nations set clear goals on sustainable development, i.e. the Sustainable Development Goals (SDGs). Firms are encouraged to design SBM to fulfil these goals. Yet, an extensive investigation of the effect of the SBM applications on the SDGs is lacking. This paper is based on a semantic analysis of the relevant literature. The results show the internal enablers that support the integration process of sustainability into the organization's strategy. In addition to that, the underlying classification process highlights the clusters of applications for the SBM. These are, in turn, mapped over the SDGs to show the impact of each cluster on each SDG.

The digitalisation trend is affecting the manufacturing industry by adopting several emerging technologies that can increase the efficiency and output of production processes and operations. A growing body of literature shows that this trend demands a structural rethink of how companies do business. However, there is a lack of holistic contributions describing how aspects of manufacturing digitalisation align with the Business Model Innovation process. This study uses a bibliometric mapping approach to analyse the literature on manufacturing digital transformation through the Integrated Business Model (IBM) lens. The results identify the major research topics discussed in the analysed domain and propose an enriched IBM framework with specific descriptions and connections among the components and their relative strengths. Holistically, the resulting enhanced model may ultimately assist practitioners in understanding the innovation process of the BM triggered by technological shifts in their manufacturing, enabling an alignment of the manufacturing strategy with IBM’s components.