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Datasets, working papers, and peer-reviewed articles produced by MultiObs researchers.

Showing 1–4 of 4

  1. Article2026Open Access
    Brazilian science, technology and innovation policy: conceptual context and historical trajectories(opens in a new tab)

    Salles Filho, Sérgio; Pacheco, Carlos Américo; De Negri, Fernanda; Vonortas, Nicholas S.; Dias, Rafael De Brito

    This paper situates Brazilian science, technology and innovation (STI) policy within the broader international literature and provides a historical overview of key policy phases in Brazil. Therefore, we present an initial section that provides an overview of concepts and approaches proposed over time to analyze the role of STI in national development, with an emphasis on less developed countries. Whenever possible, connections are made to the historical phases presented in the subsequent sections of the article. The period described and analyzed spans from the initial institutionalization of STI policy in the 1940s to the early 2020s. The main policies and their rationales are presented across four major periods, two of which are subdivided into two sub-periods. This work demonstrates how STI policies reflected different moments of the country’s politics and its broader development policies, especially economic ones. The country has developed a complex STI system, well-established on several fronts, particularly in capacity building, scientific research and the creation of a robust institutional framework. It has struggled tirelessly to develop other areas, primarily those connected to the systematic application of knowledge generated by scientific and technological research to produce goods and services, thereby benefiting society. The text concludes by highlighting the challenges the country has faced and those it still confronts to make its STI system more responsive to the country's needs.

  2. Article2026Open Access
    Looking Within the Ivory Tower: How Research Groups’ Characteristics Affect Industrial Innovation(opens in a new tab)

    Sott, Michele Kremer; Mikhaĭlov, A. A.; Ruffoni, Janaína; Tello‐Gamarra, Jorge; Fischer, Bruno Brandão

    Numerous studies have examined innovative partnerships between universities and industrial companies; however, universities are typically treated as a monolithic unit of analysis. Shifting the focus to individual academic research groups (RGs) provides a better understanding of the complexity and heterogeneity of such interactions. This article aims to analyze the interactions between Brazilian industrial firms and university research groups to understand how specific characteristics of these micro-level units influence firms' innovative outcomes. The research utilizes data from the Brazilian national census of research groups (DGP-CNPq) combined with a survey of industrial firms that collaborated with these groups. The study develops five econometric models to measure the effects of firm and research group characteristics on the dimensions of innovation performance, such as technological and business capabilities, and product and process innovation. The results indicate that research group characteristics do not directly affect a firm’s innovation performance. Instead, the presence of a robust knowledge infrastructure and involvement in R&D departments are the primary determinants of enhanced technological and business capabilities in collaborative agreements. Furthermore, while applied science is a significant predictor for product innovation, process innovation is primarily driven by the firm's own technological intensity and the university’s knowledge infrastructure. This study is among the first to provide a granular, micro-level analysis of how research group characteristics — rather than university-wide traits — shape the tangible benefits firms derive from collaboration, specifically within the context of an emerging economy.

  3. Working Paper2026Open Access
    Appendix A. Definitions of technological information(opens in a new tab)

    Damian, Ieda Pelógia Martins; Araujo de Rezende Alvares, Lillian Maria; Segundo, Washington; Garcia de Souza, Marcel

    Introduction: technological information plays a strategic role in scientific, technological, and industrial development, especially in contexts marked by innovation and competitiveness. Objective: this study aims to present an updated concept of technological information that reflects current demands in academic and productive sectors. Methodology: a Systematic Literature Review (SLR) was conducted using national and international databases in the field of Information Science. The search resulted in 1,108 documents, from which 68 relevant definitions of technological information were selected and analyzed. Results: the analysis enabled the identification of recurring themes and common elements in existing definitions, allowing for a deeper understanding of the concept. The study highlights the main characteristics and functions of technological information, such as its association with innovation, competitiveness, and strategic decision-making. It emphasizes its role in improving products, processes, and services, and its relevance in patents and research outputs. Conclusion: the study proposes a new definition of technological information as knowledge related to technologies that generate strategic value through their application. This updated definition contributes to theoretical advances in Information Science and offers practical support to organizations aiming to use technological information as a strategic asset. It also broadens the understanding of the term’s scope, reinforcing its importance for sustainable development and innovation.

  4. Article2026
    Beyond institutional age and size: what drives innovation-related performance in Brazilian Federal Universities(opens in a new tab)

    Ferrero, Luciane Graziele Pereira; Salles Filho, Sérgio; Bin, Adriana; Cabral, Bernardo Pereira; Rezende, Marcos Candido de Paula

    Funded by FAPESP

    Universities contribute to innovation systems through scientific production, intellectual property protection, technology transfer, and academic–corporate collaboration. Innovation-related outputs depend on combinations of organizational, institutional, and research-related conditions rather than isolated variables. This article examines innovation-related performance in Brazilian federal universities using data from 69 institutions collected by the Brazilian Office of the Comptroller General. The study analyzes intellectual property assets, technology transfer rate, and patent-cited scholarly output through descriptive statistics, correlation analyses, and fuzzy-set Qualitative Comparative Analysis (fsQCA). The findings show that academic–corporate collaboration is the most consistent condition associated with stronger innovation-related performance. Internal regulation enables intellectual property generation and technology transfer, while field-weighted citation impact is particularly relevant for patent-cited scholarly output. Institutional age is not a linear predictor of innovation-related performance, as younger universities appear prominently in normalized indicators. The article provides configurational evidence from a public higher education system in an emerging economy.