Dimensions

PlumX

How to Cite
Gómez Cano, C. M., & Valencia Arias, J. A. (2021). Mechanisms used to measure technological innovation capabilities in organizations: results from a bibliometric analysis. Revista Guillermo De Ockham, 18(1), 69–79. https://doi.org/10.21500/22563202.4550 (Original work published June 16, 2020)
License terms

The Revista Guillermo de Ockham provides an immediate and open access to its content, based on the principle of offering the public a free access to investigations to provide a global interchange of knowledge.
Unless otherwise established, the contents of this journal has a license with Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) http://creativecommons.org/licenses/by-nc-nd/4.0/

  • Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • NonCommercial: You may not use the material for commercial purposes.
  • NoDerivatives: If you remix, transform, or build upon the material, you may not distribute the modified material.
  • No additional restrictions: You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Abstract

The technological innovation capabilities are a critical factor within organizations to respond to technological advances and the intensification of knowledge; therefore, the use of mechanisms to measure them becomes a valuable tool for the diagnosis and formulation of policies that favor technological management. Given this need, the objective of this article is to identify the mechanisms used for the measurement of Technological Innovation Capacities, based on bibliometric analysis. Among the results it is indicated that these capacities can be mediated through qualitative and quantitative variables using Data Envelopment Analysis (DEA), Fuzzy Logic, Hierarchical Analysis Processes, among others; However, each company can adopt its own tool to measure its capabilities taking into account the characteristics and variables of each sector to which it belongs. Finally, it is concluded that the issue is relevant for organizations, as the Technological Innovation Capabilities, potentialize innovation, technological development, knowledge generation, research and, therefore, generate competitive advantages and better business performance.

Keywords:

References

Adler, P., & Shenbar, a. (1990). Adapting your technological base: the organizational challenge. Sloan Management Review, 32(1), 25–37. https://doi.org/10.1080/14783363.2013.791102
Aguirre, J. (2010). Metodología para medir y evaluar las capacidades tecnológicas de innovación aplicando sistemas de lógica difusa caso fábricas de software. Universidad Nacional de Colombia. Retrieved from http://www.bdigital.unal.edu.co/1883/
Aristizábal, D., Castro, M., Echeverri, P., & Valencia, J. (2017). Assessing the efficiency of science, technology and innovation using Data Envelopment Analysis (DEA): The case of Colombia. DYNA, 84, 215–220. Retrieved from http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000300215&nrm=iso
Botero, J. (2013). Metodología para medir y evaluar las Capacidades de Innovación Tecnológica en Instituciones Prestadoras de Servicios de Salud bajo un enfoque de lógica difusa. Universidad Nacional de Colombia.
Campo, A., Herazo, E., & Oviedo, H. (2012). Análisis de factores: fundamentos para la evaluación de instrumentos de medición en salud mental. Revista Colombiana de Psiquiatria, 41, 659–671. Retrieved from http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0034-74502012000300015&nrm=iso
Chen, M. (2014). An Improved BP Neural Network Algorithm and its Application. Applied Mechanics and Materials, 543–547, 2120–2123. https://doi.org/10.4028/www.scientific.net/amm.543-547.2120
Corrales, I., Fornaris, Y., & Reyes, J. (2017). Análisis bibliométrico de la revista investigación en educación médica. Periodo 2012-2016. Investigación En Educación Médica, 1–9. https://doi.org/https://doi.org/10.1016/j.riem.2017.02.003
Domínguez, L., & Brown, F. (2004). Medición de las capacidades tecnológicas en la industria mexicana. Revista de La CEPAL, 83, 135–151.
Durieux, V., & Gevenois, P. (2010). Bibliometric Indicators : Quality Measurements of of Scientific Publication. Radiology, 255(2), 342–351.
Ellegaard, O., & Wallin, J. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809–1831. https://doi.org/10.1007/s11192-015-1645-z
Flor, M., & Oltra, M. J. (2005). The influence of firms ’ technological capabilities on export performance in supplier- dominated industries : the case of ceramic tiles firms. Management, 333–348. https://doi.org/10.1111/j.1467-9310.2005.00393.x
García, O., Quintero, J., & Arias, J. (2014). Capacidades de innovación, desempeño innovador y desempeño organizacional en empresas del sector servicios. Cuadernos de Administración, 27(49), 87–108.
Gómez, M. (2011). Evolución de las capacidades de innovación en la industria colombiana: Un análisis comparativo de los resultados de las encuestas de innovación de 1996 y 2005. http://www.bdigital.unal.edu.co/. Universidad Nacional de Colombia, Sede Medellín.
Guan, J., & Ma, N. (2003). Innovative capability and export performance of Chinese firms. Technovation, 23(9), 737–747. https://doi.org/10.1016/S0166-4972(02)00013-5
Guan, J., Yam, R., Mok, C., & Ma, N. (2006). A study of the relationship between competitiveness and technological innovation capability based on DEA models. European Journal of Operational Research, 170(3), 971–986. https://doi.org/10.1016/j.ejor.2004.07.054
Hall, M. (2011). Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism. Tourism Management, 32(1), 16–27. https://doi.org/https://doi.org/10.1016/j.tourman.2010.07.001
He, J., & Luo, H. (2010). The evaluation for enterprise technological innovation capabilities based on analytic hierarchy process technology. The 2nd International Conference on Computer and Automation Engineering (ICCAE). https://doi.org/10.1109/iccae.2010.5451861
Henao, M., Rivera, P., & Uribe, B. (2017). Knowledge management processes and intellectual property management processes: an integrated conceptual framework. AD-Minister, 31, 137–160.
Kim, L. (2001). La dinámica del aprendizaje tecnológico en la industrialización. Revista Internacional de Ciencias Sociales, UNESCO (Vol. 168).
Lall, S. (1992). Technological capabilities and industrialization. World Development, 20(2), 165-186. https://doi.org/10.1016/0305-750X(92)90097-F
Li, Q., Ye, D., & Sun, M. (2010). An Evaluation Method on Technological Innovation Capability of Software Companies Using AHP and GRA. 2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering., 66–69. https://doi.org/10.1109/iciii.2010.338
Lu, I.-Y., Chen, C.-B., & Wang, C.-H. (2007). Fuzzy multiattribute analysis for evaluating firm technological innovation capability. Int. J. Technology Management, 40, 114–130.
Monteserín, B. (2016). Políticas y prácticas de publicación en Cirugía Oral y Maxilofacial: estudio comparativo. Ediciones Universidad de Salamanca.
Moreno, S., & Garcia, A. (2014). Sistema para la evaluación de Capacidades de Innovación en Pymes de Países en Desarrollo: Caso Panamá. Revista de La Facultad de Ciencias Económicas: Investigación y Reflexión, XXII(2), 109–122.
Peña, M., Rodríguez, C., & Piñeros, P. (2016). Computación con palabras para el análisis de factibilidad de proyectos de software. Tecnura, 20(50), 69–84. https://doi.org/10.14483/udistrital.jour.tecnura.2016.3.a05
Pinto, M., & Fernandes, S. (2015). Bibliometrics and Scientometrics. Qualitative and Quantitative Methods in Libraries (QQML), 161–169.
Robledo, J., López, C., Zapata, W., & Pérez, J. (2010). Desarrollo de una Metodología de Evaluación de Capacidades de Innovación. Perfil de Coyuntura Económica, (15), 133–148.
Robledo, J., Zambrano, J., & Vélez, J. (2011). Methodological tool for measurement and assessment of technological innovation capabilities. 2011 Proceedings of PICMET ’11: Technology Management in the Energy Smart World (PICMET), 1–8.
Saaty, T. (2005). Analytic Hierarchy Process. Encyclopedia of Biostatistics, 1–8. https://doi.org/10.1002/0470011815.b2a4a002
Saaty, T. (2006). The Analytic Network Process. Iranian journal of operational research. University of Pittsburgh. https://doi.org/10.1007/0-387-33987-6_1
Serrano, J., Acevedo, C., Castelblanco, J., & Arbeláez, J. (2017). Measuring organizational capabilities for technological innovation through a fuzzy inference system. Technology in Society, 50, 93–109. https://doi.org/10.1016/j.techsoc.2017.05.005
Su, Y., Zhiwei, H., & Xin, W. (2014). A study on the evaluation of technological innovation capability of regional high tech enterprise based on factor analysis. BioTechnology An Indian Journal, 10(9), 3096–3103.
Thompson, B. (2007). Factor Analysis. The Blackwell Encyclopedia of Sociology, 1–2. https://doi.org/10.1002/9781405165518.wbeosf003
Wang, C., Lu, I., & Chen, C. (2008). Evaluating firm technological innovation capability under uncertainty. Technovation, 28(6), 349–363. https://doi.org/10.1016/j.technovation.2007.10.007
Wang, W., & Zhang, C. (2018). Evaluation of relative technological innovation capability : Model and case study for China’s coal mine. Resources Policy, 1–6. https://doi.org/10.1016/j.resourpol.2018.04.008
Winter, S. G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10 SPEC ISS.), 991–995. https://doi.org/10.1002/smj.318
Xu, D. Q., & Hua, T. H. (2013). Research on the Evaluation Index System of Technological Innovation Capability in Cement Industry. Applied Mechanics and Materials, 268–270, 2075–2082. https://doi.org/10.4028/www.scientific.net/AMM.268-270.2075
Yam, R., Guan, J., Pun, K., & Tang, E. (2004). An audit of technological innovation capabilities in Chinese firms: Some empirical findings in Beijing, China. Research Policy, 33(8), 1123–1140. https://doi.org/10.1016/j.respol.2004.05.004
Yam, R., Lo, W., Tang, E., & Lau, A. (2010). Technological Innovation Capabilities and Firm Performance. International Journal of Economics and Management Engineering, 4(6), 1056–1064.
Zhang, Z., Murtagh, F., Van Poucke, S., Lin, S., & Lan, P. (2017). Hierarchical cluster analysis in clinical research with heterogeneous study population: highlighting its visualization with R. Annals of Translational Medicine, 5(4), 75–86. https://doi.org/10.21037/atm.2017.02.05
Zhou, R., & Chan, A. H. S. (2017). Using a fuzzy comprehensive evaluation method to determine product usability : A proposed theoretical framework, 56, 9–19. https://doi.org/10.3233/WOR-162474

Downloads

Download data is not yet available.

Cited by