Data Analytics for Knowledge Management at the National University Toribio Rodríguez de Mendoza de Amazonas

• Roberto Pérez Astonitas Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas, Perú. https://orcid.org/0000-0001-7886-8019
• Ítalo Maldonado Ramírez National University Toribio Rodríguez of Mendoza of Amazonas. Bagua, Peru https://orcid.org/0000-0002-3147-3519
• Carlos Ríos-Campos Toribio Rodríguez de Mendoza National University of Amazonas, Peru. https://orcid.org/0000-0001-8003-5577
• Roberto Carlos Santa Cruz Acosta National University Toribio Rodríguez of Mendoza of Amazonas. Bagua, Peru. https://orcid.org/0000-0001-8802-9083
• Marcelino Callao Alarcón Cesar Vallejo University: Chiclayo, Lambayeque, Perú https://orcid.org/0000-0001-7295-2375

DOI: https://doi.org/10.46925//rdluz.37.06

Keywords: data analytics, knowledge management, business innovation, university management

Abstract

Knowledge management constitutes the new paradigm in the field of administrative management. The purpose of the research was to identify the processes, areas and operation of data analytics in strengthening knowledge management at the National University Toribio Rodríguez de Mendoza de Amazonas. This study was of a basic type and a non-experimental descriptive design, with a quantitative approach. Likewise, a simple random probabilistic sampling of 66 people was used: members of senior management, deans of faculties, school principals, department directors, and administrative area managers. Among the results, it was identified that analytical processes strengthen knowledge management, where 72% totally agree and 33% agree. It is concluded that data analytics contributes to the optimal strengthening of knowledge management.

References

Argota Pérez, G., Celi Saavedra, L., & Campos Pérez, R. (2019). Política científica universitaria: pensamiento estratégico. Campus, 24(27), 11–22. https://doi.org/10.24265/campus.2019.v24n27.01

Castro, J. (2015). La importancia de la información para la toma de decisiones en una empresa. Blog Corpored. https://blog.corponet.com.mx/la-importancia-de-la-informacion-para-la-toma- de-decisiones-en-la-empresa

Chacón, J. A. (2017). La Innovación Abierta Como Pilar Del Gobierno Abierto (Open Innovation as a Pillar of Open Government). Revista Enfoques, XV, N°27, 13–42. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3203692

Coronado M., L. A. (2019). Analítica de datos un estudio de caso de su uso para identificar riesgos estratégicos en grandes compañías de Medellín. Αγαη, 8(5), 55.

Gandomi, A., & Haider, M. (2017). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007

Liu, W., & Pergler, M. (2013). Concrete steps for CFOs to improve strategic risk management. McKinsey Working Papers on Risk, 44.

Morales Serazzi, M. (2021). Analítica de datos y calidad de la información para la toma de decisiones del marketing [Universidad de Salamanca]. https://doi.org/10.14201/gredos.145794

Narayanan, S., Nadarajah, D., Sambasivan, M., & Ho, J. A. (2020). Antecedents and outcomes of the knowledge management process (KMP) in Malaysian SMEs. Journal of Small Business and Entrepreneurship, 5(0), 1–27. https://doi.org/10.1080/08276331.2020.1818540

Páez García, G. J. (2019). Aplicación de técnicas de análisis de datos para obtener líneas de investigación específicas para el Ecuador. Caso de estudio: Computer Science en Scopus. https://repositorio.uisek.edu.ec/bitstream/123456789/3344/1/Tesis-JavierPaez.pdf

Ullon Ramírez, A. E. (2020). Universidad Privada Antenor Orrego Facultad De Ingeniería Escuela Profesional De Ingeniería Industrial. https://hdl.handle.net/20.500.12759/6629

UNCTAD (2021). Informe sobre tecnología e información 2021. https://unctad.org/system/files/official-document/tir2020overview_es.pdf