Purpose The purpose of this study was to compare the evolution of the scientific production of Costa Rica and Panama, from Central America and Paraguay and Uruguay, from South America in the period 2000–2018. To achieve this, first, a bibliometric mapping was performed using the Web of Science (WoS) database. Second, the triple helix model was used to determine whether there are similar patterns or marked differences in the distribution of this type of publications in the helices of government, academia and industry. Design/methodology/approach The steps followed in this study were as follows: design and application of an algorithm to perform WoS downloads; download the publications using the country descriptor; process data using R and VOSviewer; design of a profile of the selected countries based on indicators; and use of the triple helix model to determine the weight of the scientific production. Findings The data found corroborate that the small technoscientific worlds examined do not have the minimum Science & Technology personnel nor the capabilities in infrastructure and technological equipment, and that expenditure in this area is minimal and for these reasons, the production in the WoS is low. Originality/value Studying the small technoscientific worlds from a bibliometric perspective allows generating inputs to diagnose the state of these countries in this area, as no evidence of similar studies in these countries was found in Scopus or the WoS. Likewise, examining scientific production from the triple helix model makes it possible to identify the weaknesses of each actor, and the results can contribute to the design of better public policies.
Purpose The purpose of this study is to analyze the technological change under development linked to the convergence of the Internet of Things (IoT) and digital transformation (DT) from the perspective of a scientific mapping in a context marked by the occurrence of an unexpected event that accelerated this process such as the SARS-CoV-2 pandemic and its variants. Design/methodology/approach The study was developed under the longitudinal scientific mapping approach and considered the period 1990–2021 using as a basis the descriptors DT and IoT. The steps followed were identification and selection of keywords; design and application of an algorithm to identify these selected keywords in titles, abstracts and keywords using terms in Web of Science (WoS) to contrast them; and performing a data processing based on the journals in the Journal Citation Report during 2022. The longitudinal study uses scientific mapping to analyze the evolution of the scientific literature that seeks to understand the acceleration in the integration of technology and its impact on the human factor, processes and organizational culture. Findings This study showed that the technologies converging around IoT form the basis of the main DT processes being experienced on a global scale; furthermore, it was shown that the pandemic accelerated the convergence and application of new technologies to support the major changes required for a world with new needs. Finally, China and the USA differ significantly in the production of scientific knowledge with respect to the first eight followers. Originality/value The knowledge gap addressed by this study is to identify the production of scientific knowledge related to IoT and its impact on DT processes at the scale of individuals, organizations and the new way of delivering value to society. This knowledge about researchers, institutions, countries and the derivation is multiple indicators allows improving decision-making at multiple scales on these issues.
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