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Methodological literature review of knowledge management research

By: K. PATIL, Sachin.
Contributor(s): KANT, R.
Material type: materialTypeLabelArticlePublisher: Portugal : Instituto Politécnico do Cávado e do Ave, Jan./Dec. 2014Subject(s): Gestão do Conhecimento | Revisão de Literatura | MetodologiaOnline resources: Acesso Tékhne : Review of Applied Management Studies 12, 1-2, p. 3-14Abstract: The purpose of this paper is to examine the state of KM research from the standpoint of existing methodologies. The state of KM research is assessed by examining the research design, number of hypothesis testing, research methods, data analysis techniques and level of analysis. The review of KM research is based on 344 published articles where has KM in their title, which is published in seven journals. Major findings show that qualitative research methods such as a case study and conceptual models hold greater credibility. The gaps identified in the review were (a) the research at an inter organizational level is very less, (b) hypothesis testing is being done in very less number of articles and maximum articles have done only conceptual analysis, and (c) mathematical models are used in very limited articles. This methodological review will provide a better understanding of the current state of research in the KM discipline
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The purpose of this paper is to examine the state of KM research from the standpoint of existing methodologies. The state of KM research is assessed by examining the research design, number of hypothesis testing, research methods, data analysis techniques and level of analysis. The review of KM research is based on 344 published articles where has KM in their title, which is published in seven journals. Major findings show that qualitative research methods such as a case study and conceptual models hold greater credibility. The gaps identified in the review were (a) the research at an inter organizational level is very less, (b) hypothesis testing is being done in very less number of articles and maximum articles have done only conceptual analysis, and (c) mathematical models are used in very limited articles. This methodological review will provide a better understanding of the current state of research in the KM discipline

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