Towards a Service-Oriented Architecture for Knowledge Management in Big Data Era

Thang Le Dinh, Thuong-Cang Phan, Trung Bui and Manh Chien Vu
Additional contact information
Thang Le Dinh: UQTR Business School, Université du Québec à Trois-Rivières, Trois-Rivières, Canada
Thuong-Cang Phan: Can Tho University, Can Tho, Viet Nam
Trung Bui: Adobe Research, San Jose, USA
Manh Chien Vu: Université du Québec à Trois-Rivières, Trois-Rivières, Canada

International Journal of Intelligent Information Technologies (IJIIT), 2018, vol. 14, issue 4, 24-38

Abstract: Nowadays, big data is a revolution that transforms conventional enterprises into data-driven organizations in which knowledge discovered from big data will be integrated into traditional knowledge to improve decision-making and to facilitate organizational learning. Consequently, a major concern is how to evolve current knowledge management systems, which are confronted with a various and unprecedented amount of data, resulting from different data sources. Therefore, a new generation of knowledge management systems is required for exploring and exploiting big data as well as for facilitating the knowledge co-creation between the society and its business environment to foster innovation. This article proposes a service-oriented architecture for elaborating a new generation of big data-driven knowledge management systems to help enterprises to promote knowledge co-creation and to obtain more business value from big data. The proposed architecture is presented based on the principles of design science research and its evaluation uses the analytical evaluation method.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJIIT.2018100102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:14:y:2018:i:4:p:24-38

Access Statistics for this article

International Journal of Intelligent Information Technologies (IJIIT) is currently edited by Vijayan Sugumaran

More articles in International Journal of Intelligent Information Technologies (IJIIT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().