Artikel
Knowledge management for open innovation: Bayesian networks through machine learning
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.
- Language
-
Englisch
- Bibliographic citation
-
Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 7 ; Year: 2021 ; Issue: 1 ; Pages: 1-18 ; Basel: MDPI
- Classification
-
Management
- Subject
-
information management
innovation: Bayesian networks
knowledge management
machine learning
- Event
-
Geistige Schöpfung
- (who)
-
Terán-Bustamante, Antonia
Martínez-Velasco, Antonieta
Dávila-Aragón, Griselda
- Event
-
Veröffentlichung
- (who)
-
MDPI
- (where)
-
Basel
- (when)
-
2021
- DOI
-
doi:10.3390/joitmc7010040
- Handle
- Last update
-
10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Terán-Bustamante, Antonia
- Martínez-Velasco, Antonieta
- Dávila-Aragón, Griselda
- MDPI
Time of origin
- 2021
Other Objects (12)
Lurkers versus contributors: An empirical investigation of knowledge contribution behavior in open innovation communities
Value propositions in heritage tourism site business models in the context of open innovation knowledge transfer
A Bayesian semiparametric realized stochastic volatility model
A Bayesian method for characterizing population heterogeneity
Robust Bayesian inference in stochastic frontier models
A bayesian approach to measurement of backtest overfitting
The Monty Hall problem as a Bayesian game
Technological innovation, the Kyoto protocol, and open innovation
Exploring the gap between perfect Bayesian equilibrium and sequential equilibrium
Bayesian adjustment for insurance misrepresentation in heavy-tailed loss regression
Universities in the national innovation systems: Emerging innovation landscapes in Asia-Pacific
The staged competition innovation theory
Lurkers versus contributors: An empirical investigation of knowledge contribution behavior in open innovation communities
Value propositions in heritage tourism site business models in the context of open innovation knowledge transfer
A Bayesian semiparametric realized stochastic volatility model
A Bayesian method for characterizing population heterogeneity
Robust Bayesian inference in stochastic frontier models
A bayesian approach to measurement of backtest overfitting
The Monty Hall problem as a Bayesian game
Technological innovation, the Kyoto protocol, and open innovation
Exploring the gap between perfect Bayesian equilibrium and sequential equilibrium
Bayesian adjustment for insurance misrepresentation in heavy-tailed loss regression
Universities in the national innovation systems: Emerging innovation landscapes in Asia-Pacific
The staged competition innovation theory
Lurkers versus contributors: An empirical investigation of knowledge contribution behavior in open innovation communities
Value propositions in heritage tourism site business models in the context of open innovation knowledge transfer
A Bayesian semiparametric realized stochastic volatility model
A Bayesian method for characterizing population heterogeneity
Robust Bayesian inference in stochastic frontier models
A bayesian approach to measurement of backtest overfitting
The Monty Hall problem as a Bayesian game
Technological innovation, the Kyoto protocol, and open innovation
Exploring the gap between perfect Bayesian equilibrium and sequential equilibrium
Bayesian adjustment for insurance misrepresentation in heavy-tailed loss regression
Universities in the national innovation systems: Emerging innovation landscapes in Asia-Pacific