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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.

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.

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%.

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.

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.

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.

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.

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.

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.

This study aims to identify and explore the factors affecting social entrepreneurial intentions considering an educational institution in Portugal. It also intends to determine the relevance of moderating factors in the antecedents and entrepreneurial intention of these students.

A panel of 177 undergraduate students enrolled in a social entrepreneurship course between the academic years 2018 and 2021 is considered. The data is explored quantitatively considering descriptive analysis techniques, correlational analysis and hypothesis testing.

The findings reveal that entrepreneurial intention depends on multiple individual, organizational and contextual dimensions. Students' entrepreneurial intention remains unchanged regardless of the student’s profile. However, students' professional experience is a more relevant factor for the identification of organizational dimensions related to curriculum and critical pedagogy, while previous involvement in volunteer activities contributes to a higher prevalence of individual factors.

To the best of the authors’ knowledge, this study is original in exploring the role of entrepreneurial intention and its antecedents considering a heterogeneous students' profile. It offers theoretical and practical contributions by extending the literature on social entrepreneurial intention that can be used by higher education institutions to offer specific training more focused on the student's profile.

Skilled migrants' careers are heterogeneous, with existing theories capturing only some of their diversity and dynamic development over time and circumstance. This paper aims to draw out the multilevel (macro, meso and micro levels) influences impacting skilled migrants' careers by using the lens of the intelligent career framework. Furthermore, structuration theory captures the agency of skilled migrants facing different social structures at and across levels and explains the idiosyncratic nature of skilled migrants' careers.

Following an abductive approach, this paper examines the career influences for a sample of 41 skilled migrants in three different host countries. Individual career stories were collected through qualitative interviews. Important career influences from these narratives are categorised across the intelligent career competencies (knowing why, how and whom) at the macro, meso and micro levels.

Findings illustrate the lived reality for skilled migrants of these interrelated multilevel career influences and go some way in elucidating the heterogeneity of skilled migrants' careers and outcomes. The interplay of individual agency in responding to both facilitating and challenging social structures across the multilevels further explains the idiosyncratic nature of skilled migrants' careers and how/whether they achieve satisfying career outcomes. Some potential policy implications and options arising from these findings are suggested.

By considering multilevel themes that influence skilled migrants' career capital, the authors were able to better explain the complex, relational and idiosyncratic shaping of their individual careers. As such, the framework informs and guides individuals, practitioners and organisations seeking to facilitate skilled migrants' careers.

This paper aims to provide a brief review of the work on startup survival and a conceptual framework of factors influencing a startup firm’s survival. In addition, it lists significant gaps and recommends avenues for future research.

This paper conducted a systematic literature review of peer-reviewed journal articles indexed in Scopus, Web of Science and EBSCO databases using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 140 articles published in 72 journals between 1993 and 2021 were considered for the review.

The comprehensive review revealed that most of the studies have applied a single theoretical lens and have taken place in advanced economies, with a narrow focus on emerging economies. Empirical research has prominently applied regression-based models to analyse the relationship between the antecedents and the outcomes. Internal resources such as human capital, financial capital and physical capital and non-financial performance measures such as survival, growth and employment are the studies’ prominently used antecedents and outcome variables. However, a limited number of studies have used mechanisms of mediation and moderation.

Despite the substantial scientific and practical discussion on startup survival, to the best of the authors’ knowledge, no comprehensive review has been undertaken to date, which provides a systematic and comprehensive compilation of the knowledge on the topic. This study aims to develop a unique landscape of scientific advancement by methodically reviewing, categorising and synthesising the current body of knowledge on the topic.

This study aims to explore how CEO narcissism drives investment in corporate social responsibility (CSR) and its mediating mechanism.

This study includes panel regression based on archival data.

CEO narcissism leads to signaling of organizational virtuous orientation that results in increase in CSR investment.

Relevance of CEO traits on CSR remains unexplored in emerging markets context, especially the underlying mechanism. This study uncovers these mechanisms.

As of 2020, London's Financial Times had ranked Fundação Dom Cabral (FDC) as one of the world's leading executive education institutions and the top such institution in Latin America for 15 consecutive years. In 2011, FDC was also ranked fifth on the Financial Times' list of the 40 most respected business schools in the world. For FDC itself and for its co-founder, Emerson de Almeida, this recognition was a wonderful way of celebrating the 35th anniversary of an institution that has become a leader in applied management education in Brazil.

How did this young Brazilian institution achieve this? As is the case for any great undertaking, many people played crucial roles in its creation and consolidation. However, its history is closely tied to the life of its co-founder, Emerson de Almeida.

Emerson was FDC's Chief Executive from its foundation in 1976 until 2012, when he became President of its Board of Governance. ¹ He is primarily an innovator and drew his inspiration from visits to world-renowned business schools. Once he understood the needs arising from executive thinking processes, he was able to adapt these schools' best practices to suit the Brazilian culture and context.

‘You must always try the impossible’, he says. This case study presents the story of an exceptional institutional intrapreneur who championed and led the transformation of executive education in Brazil.

This study aims to appraise the historical evolution of tourism research focused on Spain. Firstly, an analysis was conducted to assess the production and impact of research within this domain. Secondly, scientific mapping, specifically through co-word analysis, was used to identify and explore the principal research themes and their evolution in the field.

A historical approach was adopted in this study, using 1,100 bibliographic records obtained from the Scopus database. Science mapping was then conducted through co-word analysis of bibliographic data.

The results of the performance analysis provide insights into the volume, evolution and impact of the scientific documents published within the research area under investigation. Moreover, by adopting a longitudinal approach, science mapping through co-word analysis enables the definition of the intellectual structure within this research domain. In this regard, the main research themes are identified, conceptually assessed, and their evolution is examined across three distinct window periods: an initial research period (1972–2002), a growing research period (2003–2012) and a consolidation period (2013–2022).

The study provides a state-of-the-art position on tourism research related to Spain thus guiding future studies in the area. Furthermore, this study provides a comprehensive “snapshot” of the historical progression of tourism research in Spain, capturing the emblematic aspects that have emerged within the area over the investigated time period.

This study explores the link between ISO 9001 certification, personal data protection and firm performance using financial balance sheet and survey data. The security aspect of data protection is analyzed based on the major requirements of the General Data Protection Regulation and mapped to the relevant controls of the ISO/IEC 27001/27002 standards.

The research analysis is based on 96 ISO 9001–certified and non-certified publicly traded manufacturing and service firms that responded to a structured questionnaire. The authors develop and empirically test their theoretical model using the structural equation modeling technique and follow a difference-in-differences econometric modeling approach to estimate financial performance differences between certified and non-certified firms accounting for the level of data protection.

The estimates indicate three core dimensions in the areas of “policies, procedures and responsibilities,” “access control management” and “risk-reduction techniques” as desirable components in establishing the concept of data security. The estimates also suggest that the data protection level has significantly impacted the performance of certified firms relative to the non-certified. Controlling for the effect of industry-level factors reveals a positive relationship between data security and high-technological intensity.

The results imply that improving the level of compliance to data protection enhances the link between certification and firm performance.

This study fills a gap in the literature by empirically testing the influence of data protection on the relationship between quality certification and firm performance.