Efficient use of data and knowledge transfers in information systems

Authors

DOI:

https://doi.org/10.35622/j.rie.2022.02.011

Keywords:

business intelligence, organizational culture, information technology, politics

Abstract

Business intelligence under data treatment is consolidated in one of the differentiating factors between organizations. Business intelligence (BI) solutions are not only applicable for commercial purposes, they are also used to measure the performance and fulfillment of goals in organizations. The objective of this research is to apply an adaptive BI model in order to diagnose the real state of the organization and formulate from it improvement plans capable of raising the levels of performance and profits of the same. The application of the adaptive model resulted in the establishment of coordination between Information Technology solutions and the organizational culture of organizations. It was also established that private organizations have achieved a better position of maturity due to their horizontal operating policies. The exploratory method has the perspective of pointing out important aspects of the problem and of finding the fundamental stages in an investigation, the data collection technique is the survey, to be able to interview and know the opinions of the people who work with technology and to be able to establish the most important data.

Author Biographies

  • María Tasa-Catanzaro, Universidad Nacional de Huancavelica

    Investigadora en tecnologías de información. Docente en la Universidad Nacional de Huacavelica.

  • Ronny Lagos, Universidad Nacional de Huancavelica

    Ronny Lagos es docente universitario. Maestro en Ingeniería Biomédica por la Universidad de Valencia y la Universidad Politécnica de Valencia, con especialidad en el desarrollo de nuevas tecnologías orientados a la biomedicina. Profesor de tiempo completo en la Escuela Profesional de Ingeniería de Sistemas de la Universidad Nacional de Huancavelica.

  • Wilson Sucari, Universidad Nacional de Huancavelica

    Docente investigador en el Instituto Universitario de Innovación, Ciencia y Tecnología Inudi Perú. Docente de Pre y Post Grado en la Universidad Nacional de Huancavelica, así mismo es docente invitado en diversas universidades de Perú, especialista en investigación científica, educación, literatura y gestión empresarial. Cuenta con Máster en Intervención Educativa y Psicológica por la Universidad de Navarra (España). Doctor en Educación por la UNAP (Perú). Presidente fundador del Instituto Universitario de Innovación Ciencia y Tecnología Inudi Perú y de la Universidad Libertaria del Perú. Dirige la Revista Innova Educación, Revista Estudios Psicológicos, Revista Revoluciones y la Revista Gestionar.

References

Araya Guzmán, S.A. (2004). Los sistemas de información y su interacción con la dimensión cultural de las organizaciones. Revista Ingeniería Industrial.3-13. http://www.scielo.org.mx/scielo.php?script=sci_nlinks&pid=S0186-1042201600010012700004&lng

Ahumada-Tello, 2011 E. Ahumada-Tello. La Gestión del Conocimiento en la Generación de Competitividad Sistémica: El Sector de Tecnologías de la Información en Tijuana, (2011). Universidad Autónoma de Baja California.

http://www.scielo.org.mx/scielo.php?script=sci_nlinks&pid=S0186-1042201600010012700001&lng=en

Bashin, H. (2020). What is Exploratory Research? Types of Exploratory Researches Data Insights. Marketing91. https://www.marketing91.com/exploratory-research/

Božič, K., & Dimovski, V. (2019). Business intelligence and analytics for value creation: The role of absorptive capacity. International Journal of Information Management, 46, 93–103. https://doi.org/10.1016/j.ijinfomgt.2018.11.020

Cheng, C., Zhong, H., & Cao, L. (2020). Facilitating speed of internationalization: The roles of business intelligence and organizational agility. Journal of Business Research, 110, 95–103. https://doi.org/10.1016/j.jbusres.2020.01.003

Combita Niño, H. A., Cómbita Niño, J. P., & Morales Ortega, R. (2020). Business intelligence governance framework in a university: Universidad de la costa case study. International Journal of Information Management, 50, 405–412. https://doi.org/10.1016/j.ijinfomgt.2018.11.012

Khatibi, V., Keramati, A., & Shirazi, F. (2020). Deployment of a business intelligence model to evaluate Iranian national higher education. Social Sciences & Humanities Open, 2(1), 100056. https://doi.org/10.1016/j.ssaho.2020.100056

Larson, D., & Chang, V. (2016). A review and future direction of agile, business intelligence, analytics and data science. International Journal of Information Management, 36(5), 700–710. https://doi.org/10.1016/j.ijinfomgt.2016.04.013

Llave, M. R. (2018). Data lakes in business intelligence: Reporting from the trenches. Procedia Computer Science, 138, 516–524. https://doi.org/10.1016/j.procs.2018.10.071

Lopes, J., Guimarães, T., & Santos, M. F. (2020). Adaptive business intelligence: A new architectural approach. Procedia Computer Science, 177, 540–545. https://doi.org/10.1016/j.procs.2020.10.075

Lukić, J., Radenković, M., Despotović-Zrakić, M., Labus, A., & Bogdanović, Z. (2016). A hybrid approach to building a multi-dimensional business intelligence system for electricity grid operators. Utilities Policy, 41, 95–106. https://doi.org/10.1016/j.jup.2016.06.010

Radenković, M., Lukić, J., Despotović-Zrakić, M., Labus, A., & Bogdanović, Z. (2018). Harnessing business intelligence in smart grids: A case of the electricity market. Computers in Industry, 96, 40–53. https://doi.org/10.1016/j.compind.2018.01.006

Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, 29, 37–58. https://doi.org/10.1016/j.accinf.2018.03.001

Vajirakachorn, T., & Chongwatpol, J. (2017). Application of business intelligence in the tourism industry: A case study of a local food festival in Thailand. Tourism Management Perspectives, 23, 75–86. https://doi.org/10.1016/j.tmp.2017.05.003

Published

2022-02-21

Issue

Section

Artículos originales

How to Cite

Efficient use of data and knowledge transfers in information systems. (2022). Revista Innova Educación, 4(2), 176-186. https://doi.org/10.35622/j.rie.2022.02.011

Most read articles by the same author(s)

1 2 > >> 

Similar Articles

1-10 of 229

You may also start an advanced similarity search for this article.