IESS 2016: Exploring Services Science pp 509-521 | Cite as

A Service-Oriented Framework for Big Data-Driven Knowledge Management Systems

  • Thang Le Dinh
  • Thuong-Cang Phan
  • Trung Bui
  • Manh Chien Vu
Conference paper
First Online:
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 247)

Abstract

Enterprises nowadays are intensifying their efforts to create value through big data initiatives as well as knowledge management systems to outperform their competitors. Big data is considered as a revolution that transforms traditional enterprises into Data-Driven Organizations (DDOs) in which knowledge discovered from big data will be integrated into traditional organizational knowledge to improve decision-making and to facilitate organizational learning. This paper proposes a service-oriented framework for designing a new generation of big data-driven knowledge management systems to help enterprises to promote knowledge development and to obtain more business value from big data. The key artefacts of the framework are presented based on design science research, including constructs, model, and method. The objective of the framework is to promote both knowledge exploration and knowledge exploitation that need to take place simultaneously in DDOs.

Keywords

Big data analytics Knowledge management system Service-oriented Design science research 
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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Thang Le Dinh
    • 1
  • Thuong-Cang Phan
    • 1
  • Trung Bui
    • 2
  • Manh Chien Vu
    • 1
  1. 1.Research and Intervention Laboratory on Business Development in Developing CountriesUniversité du Québec à Trois-RivièresTrois-RivièresCanada
  2. 2.Adobe Research, Adobe Systems IncorporatedSan JoseUSA

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