Efficient use of data and knowledge transfers in information systems
DOI:
https://doi.org/10.35622/j.rie.2022.02.011Keywords:
business intelligence, organizational culture, information technology, politicsAbstract
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.
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
Issue
Section
License
Copyright (c) 2021 María Tasa-Catanzaro, Ronny Lagos, Wilson Sucari
This work is licensed under a Creative Commons Attribution 4.0 International License.