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.

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Abstract
Objective: We aim to answer four questions. First, with the increasing number of publications, is there a concentration in specific subjects, or on the contrary, a dispersion, amplifying the span of themes related to entrepreneurship? Second, is there a hierarchy of subjects, in the sense that some of them constitute the “core” of entrepreneurship? Third, are they connected with other established research areas? Finally, it is possible to identify papers that are influential, acting as hubs in the cluster’s formation? Method: We developed an original version of the computational procedure proposed by Shibata et al (2008), which allows us to understand the diversity of the different sub-areas of the topic investigated, reducing the need for specialist supervision. Originality/Relevance: We developed and applied a method to capture the formation and evolution of research areas in entrepreneurship literature, via direct citation networks, allowing us to understand the iteration between the different research sub-areas. Results: The dispersion is a feature of entrepreneurship as field research, with a hierarchy between research areas, indicating an emergent organization in the expansion processes. We concluded that research on entrepreneurship consists of specialization, that is, by application in niches. © 2022, Associacao Nacional de Estudos em Empreendedorismo e Gestao de Pequenas Empresas - ANEGEPE. All rights reserved.

Abstract
The relevance of international research collaboration (IRC) in bolstering intellectual capital, in-creasing embeddedness in networks, and promoting innovation has been acknowledged by sci-entists and policymakers. However, large-scale studies involving different scientific domains and periods aimed at exploring the factors that influence IRC are missing, which could deepen our understanding of the factors affecting IRC. Based on a novel dataset of 193 countries over three periods, 1990-1999, 2000-2009 and 2010-2018, we have examined the impact of geographical, socioeconomic, political, cultural, intellectual, and excellence distances on the propensity to engage in IRC at the global level, by scientific domain and over time. In general, all the distances considered obstruct IRC, with geographical and cultural distance emerging as the barriers with the highest impact. Two exceptions are worthwhile noting: excel-lence distance fosters IRC in the Medical & Health Sciences (MHS) and intellectual distance fosters IRC in the Agricultural Sciences (AS). At the global level, the negative impact of socioeconomic, political, and intellectual distances on IRC has increased over time, whereas the negative impact of geographical and cultural dis-tances has decreased.

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ABSTRACT The reconstruction of the economic history of Brazil since independence from Portugal (1822) may lead to a new understanding of its economic growth. The deep-rooted idea that Brazil could have done better means there is a need to delve into each phase of its development. In this paper, we provide a very long-run perspective (1822-2019) of Brazil’s economic growth and process of real convergence. On the one hand, this review indicates that structural changes observed in the middle of the 20th century were crucial in promoting the country’s growth and real convergence with technologically advanced countries. On the other hand, poor institutional conditions and deficient human capital formation have emerged since colonial times as critical factors underlying Brazil’s inability to establish robust and sustainable economic growth.

Abstract
To enhance the economic viability and address the labour shortage in the forestry industry, alternative solutions using robotization and automation are emerging. However, due to technological barriers and lack of solid business models, successful commercialization in the forestry sector is yet to be challenging. As an initial market analysis for developing a business model for new forestry machineries, this study was conducted to reveal clusters of EU countries to seek the potential market opportunities outside of Portugal. To identify similar market conditions and restrictions, EU countries were clustered using a hierarchical clustering algorithm and selection of variables while considering the geographic, economic, and social conditions of each country. Preliminary results showed that Austria and Poland had similar social capital and geographic conditions.