Uso de la inteligencia competitiva en los procesos de colaboración en el sector farmacéutico español

Fernández-Arias, M.; Quevedo-Cano, Pilar; Nuchera, Antonio Hidalgo

doi:10.3145/epi.2016.sep.08

Cited by 5 publications

(1 citation statement)

References 2 publications

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“…Some of those studies looked at the consumption and origin of the information firms were using (Giménez Toledo and Román Román, 2004; Vázquez Valero and Velayos Huerta, 1999). Others considered specific sectors in particular such as that of exports (Postigo, 2001), metal (Pérez-González and Placer-Maruri, 2011), and pharmaceuticals (Fernández-Arias et al, 2016); groups of firms in different sectors (Tena and Comai, 2004); and firms in specific regions such as Extremadura (Muñoz-Cañavate and Pulgarín Guerrero, 2009), Basque Country (Cantonnet et al, 2015), and Cantabria (Placer-Maruri et al, 2016). Spanish firms have also been part of international studies such as that carried out between 2001 and 2002 for four European regions (Madrid, Lorraine, Tuscany, and West Midlands) by the Cooperation to Promote Economic and Technological Intelligence in SMEs consortium (CETISME, 2002), and those of the Global Intelligence Alliance to determine the uses of intelligence in firms of different countries (Global Intelligence Alliance, 2007).…”

Section: Introductionmentioning

confidence: 99%

Competitive intelligence in Spain

Cañavate¹,

Alves-Albero

2017

Business Information Review

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This study presents the main results of a survey of a sample of Spanish firms which include competitive intelligence and/or technology watch (TW) services in their organigrams or which are consumers of such intelligence products. The objectives were to acquire information on (i) the model (whether centralized or decentralized) of their intelligence services and personnel and their consumption of external intelligence consulting services and TW platforms; (ii) the methods they use to determine what information they need; (iii) the means they use to obtain that information; (iv) areas in which they seek information (competitors, consumers, economic situation, etc.); (v) their methods of analysis; (vi) the products generated by that analysis; and (vii) how they promote intelligence tasks internally. The results and the main conclusions are provided in the corresponding sections.

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Section: Introductionmentioning

confidence: 99%

Competitive intelligence in Spain

Cañavate¹,

Alves-Albero

2017

Business Information Review

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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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Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis (Preprint)

Castillo-Valdez,

Rodriguez-Salvador,

2023

Preprint

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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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Uso de la inteligencia competitiva en los procesos de colaboración en el sector farmacéutico español

Cited by 5 publications

References 2 publications

Competitive intelligence in Spain

Competitive intelligence in Spain

Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis

Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis (Preprint)

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