Knowledge Management for Open Innovation: Bayesian Networks through Machine Learning

Antonia Terán-Bustamante,Antonieta Martínez-Velasco,Griselda Dávila-Aragón

doi:10.3390/joitmc7010040

Antonia Terán-Bustamante, Antonieta Martínez-Velasco + Show 1 more

Open Access

https://doi.org/10.3390/joitmc7010040

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Abstract

Knowledge management within organizations allows to support a global business strategy and represents a systemic and organized attempt to use knowledge within an organization to improve its performance. The objective of this research is to study and analyze knowledge management through Bayesian networks with machine learning techniques, for which a model is made to identify and quantify the various factors that affect the correct management of knowledge in an organization, allowing you to generate value. As a case study, a technology-based services company in Mexico City is analyzed. The evidence found shows the optimal and non-optimal management of knowledge management, and its various factors, through the causality of the variables, allowing us to more adequately capture the interrelationship to manage it. The results show that the most relevant factors for having adequate knowledge management are information management, relational capital, intellectual capital, quality and risk management, and technology assimilation.

Highlights

Introduction2021, 7, At present, knowledge management in a company is an essential element to ensure its sustainability
Knowledge management is a systematic process of generation, dissemination, exchange, use, and improvement of valuable individual and organizational knowledge for the generation of value to the organization
Research shows that information management together with processes and systems are very important assets in an organization

Summary

Introduction

2021, 7, At present, knowledge management in a company is an essential element to ensure its sustainability. Organizations generate value and create intangible assets. Properly managing data to obtain information, as well as disseminating it systematically and efficiently to transform it into useful knowledge that can be quickly incorporated into decision-making and strategies, represents a competitive advantage that allows generating innovative actions

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Conclusion