Integrating science and technology metrics into a competitive technology intelligence methodology

Rodríguez-Salvador, Marisela; Castillo-Valdez, Pedro F.

doi:10.37380/jisib.v1i1.696

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…Competitive Technology Intelligence: This comprises an analysis of global tendencies for a specific product, technology, or service using an eight-step methodology developed by Rodriguez-Salvador and Castillo-Valdez [31]. It helps to identify technological opportunities and threats to innovation.…”

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confidence: 99%

Promoting Collaborative Learning in Students Soon to Graduate through a Teaching–Learning Model

Rodriguez-Salvador,

Castillo-Valdez

2023

Education Sciences

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For students to compete in the globalized world, it is essential to be proficient not only in knowledge but also in soft skills. Students should know how to work collaboratively towards a common goal; in this sense, it is recommended for educators to enhance collaborative learning competency, particularly in students in the final part of their studies. Important efforts have been made to study collaborative learning; however, those that focus on collaborative competencies in engineering students close to finishing their studies have not yet been explored. In this context, this research proposes a teaching–learning model named “Colabora” to foster collaborative competencies in students soon to graduate from an industrial engineering program. It includes the development of a progressive final project, the use of a digital platform, and specific assessment tools. An exploratory study was conducted in a private university in Mexico during a semester-long innovation management course. Results show that the students who applied “Colabora” obtained the most knowledge on the subject of innovation management and showed greater collaborative competence. This approach adds value for educators and researchers interested in fostering collaborative competencies useful for future professionals that work in teams pursuing common goals.

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confidence: 99%

Promoting Collaborative Learning in Students Soon to Graduate through a Teaching–Learning Model

Rodriguez-Salvador,

Castillo-Valdez

2023

Education Sciences

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Advances and Innovations in Shelters to Cover Needs in Emergency Housing Situations

Marín-García,

Andrade-Maeso,

Bienvenido-Huertas

et al. 2023

Lecture Notes in Civil Engineering

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Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis

Castillo-Valdez,

Rodriguez-Salvador,

2024

JMIR Diabetes

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Background The widespread use of mobile technologies in health care (mobile health; mHealth) has facilitated disease management, especially for chronic illnesses such as diabetes. mHealth for diabetes is an attractive alternative to reduce costs and overcome geographical and temporal barriers to improve patients’ conditions. Objective This study aims to reveal the dynamics of scientific publications on mHealth for diabetes to gain insights into who are the most prominent authors, countries, institutions, and journals and what are the most cited documents and current hot spots. Methods A scientometric analysis based on a competitive technology intelligence methodology was conducted. An innovative 8-step methodology supported by experts was executed considering scientific documents published between 1998 and 2021 in the Science Citation Index Expanded database. Publication language, publication output characteristics, journals, countries and institutions, authors, and most cited and most impactful articles were identified. Results The insights obtained show that a total of 1574 scientific articles were published by 7922 authors from 90 countries, with an average of 15 (SD 38) citations and 6.5 (SD 4.4) authors per article. These documents were published in 491 journals and 92 Web of Science categories. The most productive country was the United States, followed by the United Kingdom, China, Australia, and South Korea, and the top 3 most productive institutions came from the United States, whereas the top 3 most cited articles were published in 2016, 2009, and 2017 and the top 3 most impactful articles were published in 2016 and 2017. Conclusions This approach provides a comprehensive knowledge panorama of research productivity in mHealth for diabetes, identifying new insights and opportunities for research and development and innovation, including collaboration with other entities, new areas of specialization, and human resource development. The findings obtained are useful for decision-making in policy planning, resource allocation, and identification of research opportunities, benefiting researchers, health professionals, and decision makers in their efforts to make significant contributions to the advancement of diabetes science.

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Integrating science and technology metrics into a competitive technology intelligence methodology

Cited by 5 publications

References 4 publications

Promoting Collaborative Learning in Students Soon to Graduate through a Teaching–Learning Model

Promoting Collaborative Learning in Students Soon to Graduate through a Teaching–Learning Model

Advances and Innovations in Shelters to Cover Needs in Emergency Housing Situations

Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis

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