Abstract
Digitalisation is mandatory for today’s companies. Living in the Era of Industry 4.0, the phenomenon of digital transformation cannot be ignored. Intending to support manufacturing companies in their digitalisation processes, the present paper reflects the work that has been carried on, to support the digital transition for manufacturing companies in the region of Tâmega e Sousa. This region is considered to be an industrial region located in the North of Portugal, but lagging in terms of digital technology adoption. In a theoretical framework, it is expected to identify the most relevant factors to promote a successful digital strategy. Supported by a Science Design methodology, a platform was developed to support the measurement of the maturity or digital companies’ readiness levels. To collect the necessary data were performed questionnaires. First, in a face-to-face approach and later through the platform developed. The (preliminary) results are based on a sample of 53 companies (pilot test). From this data, it was possible to identify some trends: 1) some behaviours indicate that the region is still in the digitisation phase; 2) the digitisation focus is in the processes dimension; 3) even performing a digital transition, companies do not invest in in-house IT solutions. Copyright © 2025 Inderscience Enterprises Ltd.

Abstract
The transition to circular business models poses significant challenges, particularly for Small and Medium Enterprises (SMEs). These challenges arise from different perspectives. Strategic alignment and technological barriers are just two of them. This paper aims to explore how Industry 4.0 technologies and Enterprise Architectures can facilitate the implementation of circular business models. By analyzing their role in overcoming key obstacles, the study explores the potential of these technologies in driving sustainable business transformation. The findings indicate that while integrating circularity into business practices remains complex, Enterprise Architectures, through the adoption of Industry 4.0 technologies, can mitigate some barriers. Ultimately, the synergy between technological innovation and circular business models can accelerate the shift towards sustainability.

Abstract
Objective: To empirically investigate the relationship between education quality and technological progress in the business sector at different stages of economic development. Research Design & Methods: We divided 160 countries into four groups by GDP per capita. The research period was 2007–2021. We use Spearman’s correlation analysis to verify associations between nine indicators for education quality and ten indicators for technological progress. Findings: Our outcomes show that if education quality does not improve, countries do not move up the economic development ladder. Adult literacy, primary education quality, adult skills, and women’s average years in school have the strongest influence on technological progress. Implications?/?Recommendations: Our paper contains many implications for those seeking to improve social well-being. For example, governments should ensure that women have access to education on equal terms with men. Otherwise, they lose an important source of technological progress and impede the development of human capital. Greater emphasis should be placed on learning how to write and describe reality, read with comprehension, perform simple calculations without a calculator, and teach various learning methods. In the absence of these, the skills of primary, secondary and higher education graduates will not improve. Contribution: The outcomes of our research, both theoretical and empirical, create a multi-faceted approach to the issue of the mutual influence of education and technological progress. They allow us to look at this problem from the perspective of subsequent stages of economic development.

Abstract
PurposeThis paper aims to identify the critical success factors (CSFs) for managing remote project teams (RPT) within project environments. In other words, it focuses on identifying the crucial elements for the success of projects executed by RPT.Design/methodology/approachAn exploratory mixed-method was used combining a case study approach with the application of surveys. Document analysis and direct observation were also applied. The analyzed company is a well-known project-based company acting in the coffee industry and is justified due to its multilocation and multicultural perspectives.FindingsThrough an initial literature review, 93 CSFs were identified and then organized into 7 categories. The subsequent phase involved the relevance evaluation of the identified CSFs through surveys conducted in an international company. The first results analysis identified 20 CSFs. A deeper analysis identified the most relevant factors for each category (Project Managers, 33 factors; Team Leaders, 15; and Team Members, 29). Combining these results, 11 CSFs were identified.Originality/valueWith the trend of remote work that is being kept after the pandemic, this study contributes to identify the most relevant issues that must be taken into account in managing remote teams. By identifying those issues, or CSFs, managers and team members might focus on the most relevant factors.

Abstract
In the current era of digital transformation, adopting circular business models that blend circularity principles with advanced digital technologies, is fundamental for sustainable industrial practices. This paper suggests a semantic model for a Digital Twin based on an Asset Administration Shell. It also explores the Digital Product Passport topic since this will be the final goal for the Digital Twin. The Digital Product Passport serves as a complete digital record of the product life cycle to improve traceability and circularity. The Asset Administration Shell provides a standardized digital representation of assets, facilitating interoperability and fluid data exchange. By taking advantage of a Digital Twin, industries can optimize performance and predict product needs. Moreover, it enriches the Digital Product Passport with updated and accurate data, facilitating traceability and efficient product management. The application of semantic models ensures a consistent interpretation of data across all platforms, increasing the reliability of digital interactions and interoperability. This article explains the potential of these technologies to promote a circular economy, focusing in the particular case of the Digital Product Passport. © 2025 The Author(s).

Abstract
The advent of large Machine Learning models and the steep increase in the demand for AI solutions occurs at the same point in time in which policies are being enacted to implement more sustainable processes in virtually every sector. This means there is a need for more, better and larger models, which require significant computational resources, while at the same time a call for a decrease in the energy spent in the processes associated to MLOps. In this paper we propose a reduced set of meta-features that can be used to characterize sets of data and their relationship with model performance. We start from a large set of 66 features, and reduce it to only 10 while maintaining the strength of this relationship. This ensures a process of meta-feature extraction and prediction of model performance that is in line with the desiderata of Frugal AI, allowing to develop more efficient ML processes.