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Longitudinal scientific mapping of emerging and converging trends between the Internet of Things and digital transformation

Iván Manuel De la Vega Hernández (CENTRUM Católica Graduate Business School, Lima, Peru and Pontificia Universidad Católica del Perú, Lima, Peru)
Juan Diáz Amorin (Department of Economics, Universidad Nacional Mayor de San Marcos, Lima, Peru)

Journal of Science and Technology Policy Management

ISSN: 2053-4620

Article publication date: 7 August 2023

Issue publication date: 29 November 2024

105

Abstract

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.

Keywords

Citation

De la Vega Hernández, I.M. and Diáz Amorin, J. (2024), "Longitudinal scientific mapping of emerging and converging trends between the Internet of Things and digital transformation", Journal of Science and Technology Policy Management, Vol. 15 No. 6, pp. 1734-1771. https://doi.org/10.1108/JSTPM-11-2022-0183

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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