Enhance Knowledge Management Process for Group Decision Making

Author(s):  
Rizwana Irfan ◽  
Maqbool-uddin-Shaikh
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Behzad Ghasemi ◽  
Changiz Valmohammadi

Purpose The purpose of this study is to identify and prioritize the critical success factors (CSFs) of knowledge management (KM) implementation through a novel hybrid model, namely, Fuzzy Delphi method (FDM), interpretive structural modeling (ISM) and revised Simos, which is one of group decision-making (GDM) approaches. Design/methodology/approach The CSFs of KM implementation were identified through a systematic literature review. FDM was adopted to determine the CSFs in the Iranian oil industry. Then, a novel hybrid model consisting of ISM and revised Simos techniques were used to classify and prioritize the CSFs. Findings The obtained results suggest that there are 13 CSFs of KM implementation. The result of ISM shows that the CSFs of KM implementation were classified into five levels. The result of revised Simos reveals that the “human resources management” obtained the highest priority and “leadership commitment and support” and “intellectual capital” ranked second and third, respectively. Research limitations/implications As this research was performed in the Iranian oil industry, caution should be taken regarding the generalizability of the obtained results. Practical implications The top managers of the surveyed companies could get acquainted with CSFs of KM implementation in their organization and use a GDM technique that has various advantages to solve the relevant problems. Originality/value This paper provides a twofold contribution to expand KM and GDM literature and to the best knowledge of the authors, it is a novel hybrid GDM model of its kind.


Author(s):  
Charu Chandra ◽  
Alexander V. Smirnov

As firms compete in global markets, they design and implement complex business systems, such as Supply Chain, Virtual Enterprise, Web-Based Enterprise, Production Network, e-Business, and e-Manufacturing. Common traits of these systems are (i) co-operation to implement shared goals, (ii) global distributed product development and manufacturing, and (iii) co-ordination of strategies and communication of information, among enterprise partners. Information in this complex business system can be shared via the Internet, Intranet, and Extranet. One of the goals of Internet-Based Management (e-management) is to facilitate transfer and sharing of data and knowledge in the context of business collaborations. It offers the platform for design and modeling of diverse implementation strategies related to the type of agreement, optimisation criteria, decision mode, organisation structures, information sharing mechanisms, and business policies for this system. “A General Framework of E-Management” that integrates (i) intelligent information support, (ii) group-decision making, and (iii) agreement modeling for a complex business system is proposed. A generic methodology of e-management information support based on “Ontology-Driven Knowledge Management” and “Multi and Intelligent Agents Technologies” for distributed decision making in scalable business systems is described. It is based on the premise that knowledge management should emphasize synergistic use of knowledge from multiple sources.


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