Abstract
Purpose Eco-innovation has been identified as a source of gaining a competitive advantage on a global scale. To build upon that, this study aims to deepen the understanding of eco-innovation in the context of small- and medium-sized enterprises (SMEs) and investigates the impact of having a clear eco-innovation strategy on a company's sustainability and performance. Design/methodology/approach A sample of 249 SMEs located in Portugal and the UK participated and structural equation modelling (SEM) was applied to explore the relationship among the constructs. Findings The findings reveal that both internal and external factors influence the design of an eco-innovation strategy. However, the relevance of external factors seemed to be more significant for Portuguese SMEs. This study concludes that product/process eco-innovations and green innovation systems are determinants for sustainable performance in SMEs. In contrast, the environmental technologies and organisational eco-innovation dimensions are not determinants. This is observed both in Portuguese and UK SMEs. Originality/value Most studies in the field tend to explore the role of eco-innovation in large organisations. This study takes a different approach by exploring its impacts on the sustainable business performance of SMEs. Furthermore, it combines data from two countries, which constitutes a strength and gives the opportunity to explore this phenomenon empirically.

Abstract
This study aims to explore the role of small and medium-sized enterprises (SMEs) in developing data-driven solutions to address the direct and indirect challenges posed by COVID-19. A sample of six case studies of SMEs from the UK and Portugal were selected to explore in-depth the experience of these companies in proposing innovative solutions in the pandemic context. The findings reveal that the pandemic caused amplifying effects on the digitalization of organizations and the emergence of data-driven solutions. However, the development of a data-driven approach involves not only technologies but also the digitalization of processes and highly skilled human resources. The pandemic was also a catalyst for the emergence of collaborative initiatives that have enabled the development of solutions involving diverse players from science, business, and civilian society. This study offers innovative contributions by focusing exclusively on companies developing data-driven solutions supported by technologies such as the internet of things (IoT), big data, and artificial intelligence.

Abstract
Purpose The purpose of this study is to explore the potential and growth of big data across several industries between 2016 and 2020. This study aims to analyze the behavior of interest in big data within the community and to identify areas with the greatest potential for future big data adoption. Design/methodology/approach This research uses Google Trends to characterize the community's interest in big data. Community interest is measured on a scale of 0-100 from weekly observations over the past five years. A total of 16 industries were considered to explore the relative interest in big data for each industry. Findings The findings revealed that big data has been of high interest to the community over the past five years, particularly in the manufacturing, computers and electronics industries. However, over the 2020s the interest in the theme decreased by more than 15%, especially in the areas where big data typically had the greatest potential interest. In contrast, areas with less potential interest in big data such as real estate, sport and travel have registered an average growth of less than 10%. Originality/value To the best of the author's knowledge, this study is original in complementing the traditional survey approaches launched among the business communities to discover the potential of big data in specific industries. The knowledge of big data growth potential is relevant for players in the field to identify saturation and emerging opportunities for big data adoption.

Abstract
This study aims to explore how higher education institutions respond to the challenge of incorporating soft skills into their curricula. It employs a mixed-methods approach in which the quantitative analysis of the disciplines addressing this issue is complemented by a thematic analysis of semi-structured interviews conducted with four higher education institutions in Portugal. The findings indicate that although the number of subjects specifically addressing soft skills is small, there is a growing concern to incorporate soft skills in pedagogical and evaluation methodologies in each course. Several challenges, good practices, and future perspectives are also explored in this work.

Abstract
This study analysis the entrepreneurial intention (EI) of 236 students attending higher education considering a heterogeneous sample of students with diverse profiles and work experience, which allows exploring its role in EI. The findings confirm that understanding EI requires considering a multidimensional model that includes attitude toward entrepreneurship, perceived entrepreneurial capacity, perceived social norms, and entrepreneurship education (EE). Furthermore, students with professional experience manifest a higher EI and a higher perception of the role that EE can play in the process of establishing a start-up.

Abstract
Purpose: This study aims to present an innovative sandbox platform that implements a decision support system (DSS) to assess the sustainable development goals (SDGs) addressed at the municipal level. It intends to determine the relative importance of each SDG in municipalities and explore the synergies that can be discovered among them. Design/methodology/approach: Participatory action research is used to develop a DSS and an algorithm designated as discrete heavy fuzzy was also developed, which extends the Apriori algorithm to include discrete quantitative assessments of the level of SDG compliance by each project. A scenario consisting of three municipalities in Portugal (i.e. Porto, Loulé and Castelo de Vide) was chosen to demonstrate the implementation of the sandbox platform and to interpret the observed results. Findings: The results reveal significant differences in the typology of SDGs addressed by each municipality. It was found that municipal sustainable projects are strongly influenced by the contextual factors of each municipality. Porto has projects that address the first five SDGs. Loulé appears projects that promote innovation, the fight against climate change and the development of sustainable cities. Castelo de Vida has initiatives related to innovation and infrastructure and decent work and economic growth. Research limitations/implications: This study provides knowledge about the relative importance of the SDGs in Portuguese municipalities and explores the synergies among them. The proposed sandbox platform fills the gaps of the ODSlocal Webtool by proposing a dynamic and interactive approach for the exploration of quantitative indicators regarding the implementation status of the SDGs established in the 2030 Agenda. Originality/value: This study provides knowledge about the relative importance of the SDGs and the various synergies that exist between them considering the Portuguese municipalities. The sandbox platform presented and developed within this study allows filling the gaps of the ODSlocal Webtool that gathers essentially qualitative information about each project and offers a dynamic and interactive exploration with quantitative indicators of the implementation status of the SDGs established in the 2030 Agenda.