Uso de las tecnologías de la información en los procesos decisorios: un análisis bibliométrico
Palabras clave:
toma de decisiones, tecnológica, humano, bibliometría
Resumen
Se llevó a cabo un estudio bibliométrico para examinar la incidencia de las tecnologías de la información en los procesos de toma de decisiones; para lo cual se efectuó una búsqueda de los artículos presentes en publicaciones Scopus. La búsqueda arrojo 1220 artículos a los que se les calculó los indicadores de cantidad, calidad y de estructura. Los resultados muestran una dispersión del conocimiento con tendencia creciente en la generación de investigación en la toma de decisiones tecnológicas en Estados Unidos, China y Reino Unido. Además, esta tendencia está dada por autores con densidad de colaboración, producción e influencia, dispersos en China, Estados Unidos, Reino Unido, Canadá, Corea del Sur, España, Alemania y Australia. Se concluye que la investigación sobre toma de decisiones con apoyo en las tecnologías se enfoca en subtemas como toma de decisiones multicriterios, topsis, evaluación de tecnología sanitaria, energía renovable, sustentabilidad y evaluación de tecnología, lo que demuestra que las investigaciones al respecto se focalizan a partir de las necesidades de mercado.
Citas
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Cheng, A. C., Chen, C. J., y Chen, C. Y. (2008). A fuzzy multiple criteria comparison of technology forecasting methods for predicting the new materials development. Technological Forecasting and Social Change, 75(1), 131–141. https://doi.org/10.1016/j.techfore.2006.08.002
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Durieux, V., y Gevenois, P. A. (2010). Bibliometric indicators: Quality measurements of scientific publication. Radiology, 255(2), 342–351. https://doi.org/10.1148/radiol.09090626
Faizal A. Ghani, M., Siraj, S., Mohd Radzi, N., y Elham. F. (2011). School effectiveness and improvement practices in excellent schools in Malaysia and Brunei. Procedia - Social and Behavioral Sciences, (15), 1705-1712. https://doi.org/10.1016/j.sbspro.2011.03.355
Faba, L., Díaz, E., y Ordóñez, S. (2014). Transformación de biomasa en biocombustibles de segunda generación. Madera bosques, 20(3).
Fernández-Cano, A., Torralbo, M., y Vallejo, M. (2004). Reconsidering Price’s model of scientific growth: An overview. Budapest Scientometrics, 61(3). https://bit.ly/3mVyXFe
Fetscherin, M., y Heinrich, D. (2015). Consumer brand relationships research: A bibliometric citation meta-analysis. Journal of Business Research, 68(2), 380–390. https://doi.org/10.1016/j.jbusres.2014.06.010
Gradwell, M. H. S., Hendrikse, K. G., y McGill, W. J. (1999). The reactions of 2-(4-morpholinothio)- and 2-(4-morpholinodithio) benzothiazole in the absence of polyisoprene. https://doi.org/10.1002/(SICI)1097-4628(19990606)72:10<1235::AID-APP1>3.0.CO;2-O
Hasper, J., Correa, J., Benjumea, M., y Valencia, A. (2017). Tendencias en la investigación sobre gestión del riesgo empresarial: un análisis bibliométrico. Revista Venezolana de Gerencia, 22(79), 506–524. https://doi.org/10.37960/REVISTA.V22I79.23036
Herrera-Viedma, E., Alonso, S., Chiclana, F., y Herrera, F. (2007). A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Trans. Fuzzy Syst, 15, 863–877.
Hipkin, I. y Bennett, D. (2003). Strategic decision-making for technology implementation in developing countries. IN: One world? One view of OM? The challenges of integrating research and practice. Spina, G.; Vinelli, A.; Cagliano, R.; Kalchschmidt, M.; Romano, P. and Salvador, F. (eds) ITA: S.G. editoriale.
Huang, J.J., Tzeng, G.H., Ong, C.S. (2005). Datos multidimensionales en escala multidimensional usando el proceso de red analítica. Reconocimiento de patrones. Lett. 26(6), 755-767.
Ishizaka, A., y López, C. (2018). Cost-benefit AHPSort for performance analysis of offshore providers. International Journal of Production, 57(108), 1-17. https://doi.org/10.1080/00207543.2018.1509393
Myeong, S., & Choi, Y. (2010). Effects of information technology on policy decision-making processes: Some evidences beyond rhetoric. Administration and Society, 42(4), 441–459. https://doi.org/10.1177/0095399710362724
Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., y Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
Muñoz-Muñoz, A. M., y Mirón-Valdivieso, M.D. (2017). Analysis of collaboration and co-citation networks between researchers studying “violence involving women”. An International Electronic Journal, (Vol. 22, Número 2). Thomas D. Wilson. 9 Broomfield Road, Broomhill, Sheffield, S10 2SE, UK. Web site: http://informationr.net/ir.
Nedzinskas, Š., Pundziene, A., Buožiute-Rafanaviciene, S., y Pilkiene, M. (2013). The impact of dynamic capabilities on SME performance in a volatile environment as moderated by organizational inertia. Baltic Journal of Management, 8(4). https://doi.org/10.1108/BJM-01-2013-0003
Pons, P., y Latapy, M. (2005). Computing communities in large networks using random walks. International Symposium on Computer and Information Sciences, 284–293.
Saaty, T. L. (1983). Introduction to a modeling of social decision processes. Mathematics and Computers in Simulation, 25(2), 105–107. https://doi.org/10.1016/0378-4754(83)90072-1
Shi, Y. (2010). The research trend of information technology and decision making in 2009. International Journal of Information Technology and Decision Making, 9(1), 1–8. https://doi.org/10.1142/S0219622010003762
Szyliowicz J.S. (1991). Technological Decision-Making and National Development. In: Politics, Technology and Development. St Antony’s. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-09099-0_1
Van Raan, A. F. J. (2005). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 133–143. https://doi.org/10.1007/s11192-005-0008-6
Xu, H. B., Yao, L. Z., Fang, Y. J., Wang, N. B., Song, X. F., Xuan, X. Q., y Xue, F. (2013). Impact of large-scale wind power integration on grid fault identification and real-time decision-making technologies in stability control systems. Asia-Pacific Power and Energy Engineering Conference, APPEEC. https://doi.org/10.1109/APPEEC.2013.6837278
Yao, H., Chen, J. y Xu, Y. (2020). Patients with mental health disorders in the COVID-19 epidemic. The Lancet Psychiatry, 7(4):e21. https://doi.org/10.1016/S2215-0366(20)30090-0
Zhang, Y. (2019). Study on the Attacking Intelligent Decision-Making Technology Based on the Game Theory. Automatic Control and Computer Sciences, 53(2), 140–147. https://doi.org/10.3103/S0146411619020123
Zagorskas, J., Zavadskas, E.K., Turskis, Z., Burinskienė, M., Blumberga, A. and Blumberga, D. (2014). Thermal insulation alternatives of historic brick buildings in Baltic Sea Region. Energy and Buildings, 78, 35-42.
Camps, D. (2008). Limitaciones de los indicadores bibliométricos en la evaluación de la actividad científica biomédica. Colombia Médica, 39(1), 74-79. https://bit.ly/37hnCtX
Cheng, A. C., Chen, C. J., y Chen, C. Y. (2008). A fuzzy multiple criteria comparison of technology forecasting methods for predicting the new materials development. Technological Forecasting and Social Change, 75(1), 131–141. https://doi.org/10.1016/j.techfore.2006.08.002
Daim, T. U., Rueda, G., Martin, H., y Gerdsri, P. (2006). Forecasting emerging technologies: Use of bibliometrics and patent analysis. Technological Forecasting and Social Change, 73(8), 981–1012. https://doi.org/10.1016/j.techfore.2006.04.004
Durieux, V., y Gevenois, P. A. (2010). Bibliometric indicators: Quality measurements of scientific publication. Radiology, 255(2), 342–351. https://doi.org/10.1148/radiol.09090626
Faizal A. Ghani, M., Siraj, S., Mohd Radzi, N., y Elham. F. (2011). School effectiveness and improvement practices in excellent schools in Malaysia and Brunei. Procedia - Social and Behavioral Sciences, (15), 1705-1712. https://doi.org/10.1016/j.sbspro.2011.03.355
Faba, L., Díaz, E., y Ordóñez, S. (2014). Transformación de biomasa en biocombustibles de segunda generación. Madera bosques, 20(3).
Fernández-Cano, A., Torralbo, M., y Vallejo, M. (2004). Reconsidering Price’s model of scientific growth: An overview. Budapest Scientometrics, 61(3). https://bit.ly/3mVyXFe
Fetscherin, M., y Heinrich, D. (2015). Consumer brand relationships research: A bibliometric citation meta-analysis. Journal of Business Research, 68(2), 380–390. https://doi.org/10.1016/j.jbusres.2014.06.010
Gradwell, M. H. S., Hendrikse, K. G., y McGill, W. J. (1999). The reactions of 2-(4-morpholinothio)- and 2-(4-morpholinodithio) benzothiazole in the absence of polyisoprene. https://doi.org/10.1002/(SICI)1097-4628(19990606)72:10<1235::AID-APP1>3.0.CO;2-O
Hasper, J., Correa, J., Benjumea, M., y Valencia, A. (2017). Tendencias en la investigación sobre gestión del riesgo empresarial: un análisis bibliométrico. Revista Venezolana de Gerencia, 22(79), 506–524. https://doi.org/10.37960/REVISTA.V22I79.23036
Herrera-Viedma, E., Alonso, S., Chiclana, F., y Herrera, F. (2007). A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Trans. Fuzzy Syst, 15, 863–877.
Hipkin, I. y Bennett, D. (2003). Strategic decision-making for technology implementation in developing countries. IN: One world? One view of OM? The challenges of integrating research and practice. Spina, G.; Vinelli, A.; Cagliano, R.; Kalchschmidt, M.; Romano, P. and Salvador, F. (eds) ITA: S.G. editoriale.
Huang, J.J., Tzeng, G.H., Ong, C.S. (2005). Datos multidimensionales en escala multidimensional usando el proceso de red analítica. Reconocimiento de patrones. Lett. 26(6), 755-767.
Ishizaka, A., y López, C. (2018). Cost-benefit AHPSort for performance analysis of offshore providers. International Journal of Production, 57(108), 1-17. https://doi.org/10.1080/00207543.2018.1509393
Myeong, S., & Choi, Y. (2010). Effects of information technology on policy decision-making processes: Some evidences beyond rhetoric. Administration and Society, 42(4), 441–459. https://doi.org/10.1177/0095399710362724
Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., y Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
Muñoz-Muñoz, A. M., y Mirón-Valdivieso, M.D. (2017). Analysis of collaboration and co-citation networks between researchers studying “violence involving women”. An International Electronic Journal, (Vol. 22, Número 2). Thomas D. Wilson. 9 Broomfield Road, Broomhill, Sheffield, S10 2SE, UK. Web site: http://informationr.net/ir.
Nedzinskas, Š., Pundziene, A., Buožiute-Rafanaviciene, S., y Pilkiene, M. (2013). The impact of dynamic capabilities on SME performance in a volatile environment as moderated by organizational inertia. Baltic Journal of Management, 8(4). https://doi.org/10.1108/BJM-01-2013-0003
Pons, P., y Latapy, M. (2005). Computing communities in large networks using random walks. International Symposium on Computer and Information Sciences, 284–293.
Saaty, T. L. (1983). Introduction to a modeling of social decision processes. Mathematics and Computers in Simulation, 25(2), 105–107. https://doi.org/10.1016/0378-4754(83)90072-1
Shi, Y. (2010). The research trend of information technology and decision making in 2009. International Journal of Information Technology and Decision Making, 9(1), 1–8. https://doi.org/10.1142/S0219622010003762
Szyliowicz J.S. (1991). Technological Decision-Making and National Development. In: Politics, Technology and Development. St Antony’s. Palgrave Macmillan, London. https://doi.org/10.1007/978-1-349-09099-0_1
Van Raan, A. F. J. (2005). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 133–143. https://doi.org/10.1007/s11192-005-0008-6
Xu, H. B., Yao, L. Z., Fang, Y. J., Wang, N. B., Song, X. F., Xuan, X. Q., y Xue, F. (2013). Impact of large-scale wind power integration on grid fault identification and real-time decision-making technologies in stability control systems. Asia-Pacific Power and Energy Engineering Conference, APPEEC. https://doi.org/10.1109/APPEEC.2013.6837278
Yao, H., Chen, J. y Xu, Y. (2020). Patients with mental health disorders in the COVID-19 epidemic. The Lancet Psychiatry, 7(4):e21. https://doi.org/10.1016/S2215-0366(20)30090-0
Zhang, Y. (2019). Study on the Attacking Intelligent Decision-Making Technology Based on the Game Theory. Automatic Control and Computer Sciences, 53(2), 140–147. https://doi.org/10.3103/S0146411619020123
Zagorskas, J., Zavadskas, E.K., Turskis, Z., Burinskienė, M., Blumberga, A. and Blumberga, D. (2014). Thermal insulation alternatives of historic brick buildings in Baltic Sea Region. Energy and Buildings, 78, 35-42.
Publicado
2021-01-28
Cómo citar
Villegas Valle, L., Walle-Vazquez, M. A., & Alvarez-Aros, E. L. (2021). Uso de las tecnologías de la información en los procesos decisorios: un análisis bibliométrico. Revista Venezolana De Gerencia, 26(93), 92-109. https://doi.org/10.52080/rvg93.08
Número
Sección
En la Mira: Revoluciones tecnológicas en escenarios presentes y futuros
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