Home // International Journal On Advances in Intelligent Systems, volume 12, numbers 1 and 2, 2019 // View article
Authors:
Gregor Grambow
Keywords: data analytics; knowledge-intensive processes; process implementation; knowledge management
Abstract:
In many domains like new product development, scientific projects, or complex business cases, knowledge-intensive activities and processes have gained high importance. Such projects are often problematic and may suffer from various threats to successful and timely project completion. This is often caused by the involved knowledge-intensive processes because of their high dynamicity, complexity, and complex human involvement. In this paper, we describe an abstract framework capable of managing and supporting such projects holistically. This is achieved by applying various kinds of data analytics on the different data sets being part of the projects. Thus, processes can be implemented and supported technically utilizing the results and combinations of the data analytics. We furthermore illustrate the applicability of the abstract framework by describing two concrete implementations of this framework in two different domains.
Pages: 82 to 92
Copyright: Copyright (c) to authors, 2019. Used with permission.
Publication date: June 30, 2019
Published in: journal
ISSN: 1942-2679