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Barão, A., de Vasconcelos, J. B., Rocha, A. & Pereira, R. (2017). A knowledge management approach to capture organizational learning networks. International Journal of Information Management. 37 (6), 735-740

A. Barão et al.,  "A knowledge management approach to capture organizational learning networks", in Int. Journal of Information Management, vol. 37, no. 6, pp. 735-740, 2017

@article{barão2017_1775817616664,
	author = "Barão, A. and de Vasconcelos, J. B. and Rocha, A. and Pereira, R.",
	title = "A knowledge management approach to capture organizational learning networks",
	journal = "International Journal of Information Management",
	year = "2017",
	volume = "37",
	number = "6",
	doi = "10.1016/j.ijinfomgt.2017.07.013",
	pages = "735-740",
	url = "http://www.sciencedirect.com/science/article/pii/S0268401217306035?via%3Dihub"
}

TY  - JOUR
TI  - A knowledge management approach to capture organizational learning networks
T2  - International Journal of Information Management
VL  - 37
IS  - 6
AU  - Barão, A.
AU  - de Vasconcelos, J. B.
AU  - Rocha, A.
AU  - Pereira, R.
PY  - 2017
SP  - 735-740
SN  - 0268-4012
DO  - 10.1016/j.ijinfomgt.2017.07.013
UR  - http://www.sciencedirect.com/science/article/pii/S0268401217306035?via%3Dihub
AB  - Effective knowledge management practices in organizations are focused on knowledge creation and knowledge transfer activities. Thus, intelligence and competencies matters at the organizational workplace. For most knowledge intensive organizations is fundamental the continuous availability and development of domain expertise. This paper describes an ongoing research project to develop an organizational knowledge architecture that is being specified and developed to support collaboration tasks as well as design and model predictive data analysis and insights for organizational development. The primary goal of this research is to create a suitable architecture for use, initially, in intranet (corporate portal) collaborative procedures, but also scalable for later use in more generic forms of ontology-driven knowledge management systems. The designed architecture and functionalities aim to create coherent web data layers for intranet learning and predictive analysis, defining the vocabulary and semantics for knowledge sharing and reuse projects. Regarding intellectual capital definition, this research argues that effective knowledge management are based on the dynamic nature of the organizational knowledge, and predictive data analysis and insights identification can transform and add value to an organization. This paper presents a knowledge management and engineering perspective (ontology based) for the application of predictive analysis and insights at the organizational (corporate) workplace towards the development of the organizational learning network.
ER  -