Producción Científica

This article is oriented to the analysis of some bibliometric indicators, applied to the scientific production by the state universities of Costa Rica for the period 2011-2019. Through the R language and the use of the Biblioshiny application from the Bibliometrix library / package, a series of indicators related to productivity by author, affiliation, level of citation, documentary characteristics, scientific consumption, and impact. Among the main findings, it is evident that most of the scientific production of Costa Rica indexed in Scopus comes from state universities, there is a presence of Costa Rican research in all continents not only as participants as leaders or main researchers, but there is also great diversification of publication in journals of multiple disciplines, diversity of research in multiple areas of science and others.

Open source software has now become a significant alternative in meeting different needs in business, government and academic environments, such as needs related to economics, management, learning and innovation, among others. The purpose of this research was to examine the research trends and evolution of the field of open source software adoption between 2001 and 2019. The methodology used involved bibliometric analysis of 289 documents obtained through a Scopus extracted search equation, generating indicators of quantity and quality and analyzing the emerging themes in said field of knowledge. The findings of the research include the existence of a strong trend towards research and dissemination regarding open source software, particularly in countries such as the United States, whose institutions and authors demonstrate high levels of productivity and dissemination. There was also evidence of an interest in reducing barriers and encouraging the adoption and implementation of the software in other sectors where its use is still lagging behind. The main conclusion of the research is that the research of open source software adoption focuses on the following topics: innovation, Linux, FLOSS, engineering requirements, risk management, open innovation, the public sector, social network analysis and total cost of ownership.

Organizational unlearning is understood as the intentional disposal of routines and contributes to new learning for people, groups and organization. With the theme of organizational unlearning, this bibliometric review aims to present the scientific production on the theme from 2010 to 2020, circumscribing the production at national and international level. Therefore, bibliometrics was used because it is recognized as a technique for measuring the production and dissemination of scientific knowledge. For this purpose, searches were carried out in the plataforms Web of Science, Scopus, Scielo and Spell databases, in the last ten years. The results show that in Brazil, until now, the topic has been little studied by researchers, with only two publications in national databases; at an international level, still with timid research, 62 papers were found, all in English language, most of them written in article format, written by researchers affiliated with educational institutions in the countries of China and Spain. Among other issues, two networks of researchers and their main vertices were also identified. Thus, this research contributes towards presenting an overview of organizational unlearning, highlighting the gaps in scientific production on the topic and reinforcing its importance in the organizational context, especially in the current pandemic scenario.

The highly competitive business environment has been increasing with the advent of Industry 4.0, since the fast-changing market requirements need rapid decision-making to improve productivity. Hence, the smart factory has been highlighted as a digitized and connected production facility, which can use and combine data analytics and artificial intelligence algorithms and techniques to manage and eliminate failures in advance by accurate prediction. Thus, the purpose of this study is to identify the unfilled gaps and the opportunities regarding machine learning and process mining applied to process optimization, through a literature review based on the last five years of study. In order to accomplish these goals, the current study was based on the Knowledge Development Process – Constructivist (ProKnow-C) methodology. Firstly, a bibliographic portfolio was created through Articles Selection and Filters Application. This found that, from 3562 published articles across five databases between 2014 and 2018, only 32 articles relating to the topic were relevant. Secondly, the bibliometric analysis allowed the interpretation and the evaluation of the bibliographic portfolio regarding its impact factor, the scientific recognition of the articles, the publishing year and the highlighted authors. Thirdly, the systemic analysis carried out thorough reading of all selected articles to identify the main researched problems, the proposed goals and resources, the unfilled gaps and the opportunities. (C) 2019 The Authors. Published by Elsevier B.V.

Why is the definition of urban context essential, in a world of multiple, complementary and, sometimes, divergent meanings? This is the central question of the article. This work reviews the successive definitions of this concept, that emerge from the scientific databases of publications from areas such as architecture and urban studies, among others. It has been stated that the frequent use of this term has ended up confusing its potential. A methodology based on a bibliometric analysis is proposed to examine the conceptual presence of the context in research between 1977 and 2017. The results suggest that urban context has been used in scientific production to face the particular realities of each country, without reaching an agreement on its variables. In addition, it has been applied without defining these realities.