The Framework of Stochastic Programming Model with Scenario Generation Approach for Sustainable Knowledge Management under Uncertainty Disruption. (August 2019)

• Record Type: Journal Article
• Authors: Sembiring, Sajadin; Mawengkang, Herman; Tulus, ; Zarlis, M.
• Is Part Of: Journal of physics. Volume 1255(2019)
• Publication Date: 2019-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1255/1/012063
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Recently, knowledge, as a strategic resource, has become an essential driving forces for business success, in particular in competitive situation. Accordingly, the existence of knowledge management (KM) is to support the business firm to locate, select, organize, distribute, and transfer vital information within the firm. One of the method to increasing effectiveness of knowledge management is to optimize its processes. However, during the process in order to increase the firm performance some disruption may occur. This paper describes a stochastic programming model to optimize the knowledge management processes problem within a firm, considering uncertainty disruption. We adopt scenario generation approach for tackling the stochastic problem.