Abstract:The development of knowledge management (KM) in theory and praxis continues to involve a wide range of disciplines and contributors, each bringing their respective experiences, beliefs, and practices. Two of the main disciplines that contribute to the KM discourse are information systems and management. However, this study of KM has revealed an apparent dichotomy between those researchers from an information systems background and those from a management background. Approaches and models based on each perspect… Show more
“…Hazlett et al(2005) once stated that KM is stuck in a state of "prescience" because of the disagreements about fundamental issues within KM that hamper the progress of the field and their proposition continues to remain valid. It is noted however that, unexpectedly, there is a higher level of agreement on secondary issues, such as the role of IT in KM and the factors that contribute to the success of organisational KM.…”
Purpose
– Knowledge is the currency of the current economy, a vital organisational asset and a key to creating a sustainable competitive advantage. The consequent interest in knowledge management (KM) has spurred an exponential increase in publications covering a broad spectrum of diverse and overlapping research areas. The purpose of this paper is to provide a literature review and categorised analysis of the rapidly growing number of KM publications, and offer a comprehensive reference for new-comers embarking on research in the field with a particular focus on the area of knowledge measurement.
Design/methodology/approach
– A total of 350 articles published in peer-reviewed journals over the last decade are carefully reviewed, analysed and categorised according to their specific subject matter in the KM context.
Findings
– KM research tends to fall in one of five categories: Ontology of Knowledge and KM, Knowledge Management Systems, Role of Information Technology, Managerial and Social issues, and Knowledge Measurement. Despite the accumulation of extensive publication efforts in some areas, a series of disagreements and a theory-practice gap are revealed as challenging issues that need to be addressed.
Research limitations/implications
– The scope of this study does not cover KM research in its entirety due to the vast nature of the research field.
Originality/value
– This paper presents a new birds-eye view of the KM landscape through a novel taxonomy of KM research providing researchers with new insights for future applied research, and offers a comprehensive critical review of major knowledge measurement frameworks.
“…Hazlett et al(2005) once stated that KM is stuck in a state of "prescience" because of the disagreements about fundamental issues within KM that hamper the progress of the field and their proposition continues to remain valid. It is noted however that, unexpectedly, there is a higher level of agreement on secondary issues, such as the role of IT in KM and the factors that contribute to the success of organisational KM.…”
Purpose
– Knowledge is the currency of the current economy, a vital organisational asset and a key to creating a sustainable competitive advantage. The consequent interest in knowledge management (KM) has spurred an exponential increase in publications covering a broad spectrum of diverse and overlapping research areas. The purpose of this paper is to provide a literature review and categorised analysis of the rapidly growing number of KM publications, and offer a comprehensive reference for new-comers embarking on research in the field with a particular focus on the area of knowledge measurement.
Design/methodology/approach
– A total of 350 articles published in peer-reviewed journals over the last decade are carefully reviewed, analysed and categorised according to their specific subject matter in the KM context.
Findings
– KM research tends to fall in one of five categories: Ontology of Knowledge and KM, Knowledge Management Systems, Role of Information Technology, Managerial and Social issues, and Knowledge Measurement. Despite the accumulation of extensive publication efforts in some areas, a series of disagreements and a theory-practice gap are revealed as challenging issues that need to be addressed.
Research limitations/implications
– The scope of this study does not cover KM research in its entirety due to the vast nature of the research field.
Originality/value
– This paper presents a new birds-eye view of the KM landscape through a novel taxonomy of KM research providing researchers with new insights for future applied research, and offers a comprehensive critical review of major knowledge measurement frameworks.
“…With computer sciences, the debate has focused on the development of technological tools, integrative platforms such as portals, networks (intranet, groupware, etc. ), decision aids or support and information analysis systems (data warehouse) (Tiwana, 1999;Hazlett et al, 2005).…”
Section: Knowledge Management In Organizationsmentioning
confidence: 99%
“…A deeper examination of the literature on KM reveals that few studies propose an OP-oriented approach based on an integrative framework, despite the fact that reference is often made to OP in KM definitions (Ipe, 2003;Hazlett et al, 2005;Kalling, 2007). Furthermore, integrative frameworks that show links between the needs of the organization and the organization's strategic objectives are even more scarce (Hazlett et al, 2005;Rivard & Roy, 2005;Zack et al, 2009;Kuo & Ye, 2010).…”
Section: Knowledge Management In Organizationsmentioning
confidence: 99%
“…Furthermore, integrative frameworks that show links between the needs of the organization and the organization's strategic objectives are even more scarce (Hazlett et al, 2005;Rivard & Roy, 2005;Zack et al, 2009;Kuo & Ye, 2010). Rivard & Roy (2005) propose an approach, which they call "strategic knowledge management".…”
Section: Knowledge Management In Organizationsmentioning
confidence: 99%
“…Certain authors have suggested that this limitation requires an effort to define integrative frameworks that deal with an organization as a complete system (Earl, 2001;Hazlett et al, 2005;Martensson, 2000;Perrin et al, 2006). In addition, since KM holds a strategic role in organizational management, a proper understanding of how it can help improve the performance of organizations remains a priority for management research (Earl, 2001;Perrin et al, 2006;Quintas, 2008).…”
Over the last 15 years, knowledge management (KM) has generated huge interest from the actors involved in research and practice. The promise of increased organizational performance has contributed to the development of various aspects of KM. Limited successes in implementing strategic KM solutions and some frustrating experiences around practices have also been widely observed. In this article, we propose a multidimensional KM approach to support decision performance as a foundation for overall organizational performance. This approach is conceptualized considering technological tools adapted to the context, process and activities related to decision situations, organizational structure and culture that empower decision makers and recognize the value of knowledge. Our approach requires an alignment between KM initiatives and business process objectives based on the KM dimensions in order to improve of decision performance.
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