Modeling enablers of knowledge management process using multi criteria decision making approach. Issue 3 (16th April 2020)

• Record Type: Journal Article
• Authors: Agrawal, Nishant
• Is Part Of: VINE journal of information and knowledge management systems. Volume 51:Issue 3(2021)
• Page Start: 389
• Page End: 417
• Publication Date: 2020-04-16
• Subjects: Knowledge management -- Knowledge management processes -- Interpretive structural modelling (ISM) -- DEMATEL approach -- MICMAC -- MCDM; Libraries -- Automation -- Periodicals; Information storage and retrieval systems -- Periodicals; 020
• DOI: 10.1108/VJIKMS-08-2019-0122
• Languages: English
• ISSNs: 2059-5891

Abstract

Abstract : Purpose: Drawing from boundary-spamming knowledge processes and knowledge-based theory, the purpose of this paper is to study enablers of the knowledge management (KM) process using robust multi-criteria decision-making (MCDM) tools like interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) method. Design/methodology/approach: Drawing on the knowledge-based view and through the detailed literature review among different KM success, eight enablers were identified. By using the ISM-DEMATEL approach, a systematic framework was designed, and further cause–effect relationship diagram visualized a causal relationship among the enablers. Findings: The combined approach of ISM-DEMATEL showcase that "knowledge creation" and "knowledge capture" are essential enablers. These two identified enablers have considered being pillars for KM implementation. On the other side, knowledge organization, knowledge application are dependent enablers. Practical implications: From a practical viewpoint, the findings of this research work enable the industry consultants to identify the most prominent driving enablers for KM implementation. Additionally, it provides a clue for the effective implementation of KM in a systematic approach. Originality/value: The integrated method depending on the hierarchical model and cause–effect relationship between enablers of the KM process is a novel approach that opens a new research area in this domain. Moreover, this is the first-ever attempt to combine ISM along with DEMATEL to identify enablers of the KM process.