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Abstract

Among the tools that knowledge management (KM) now deploys to assess its state of development are those surveys which determine current practice, establish benchmarks and offer a quantitative/qualitative description of what occurs “in reality”. The premise of this paper is that a competent analysis of survey research in any domain opens a window on the thinking that the field has on itself. Reports a research program which identified surveys that have been conducted in KM between 1997-2001, analyzes these surveys for the themes that form their conceptual foundations, and determines through thematic deconstruction the topics that appear to be major and minor preoccupations in KM. This developed a framework of six bipolar dimensions that account for all the organizing logics employed in the group of surveys. Presses this framework against previous research in which Despres and Chauvel identified the structuring devices used in conceptual models of KM. Concludes by making projections for future thinking in KM given the view it appears to be taking on itself.
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... The knowledge and KM processes/capabilities/activities cluster, taken from Alavi andLeidner (2001) andFteimi (2015), involve the keywords knowledge sharing, knowledge creation, knowledge transfer, KM process, KM capabilities to name a few. The critical success factors taken from Heisig (2009) andFteimi (2015) and results are taken from Chauvel and Despres (2002) holds keywords such as organisational aspects of KM, performance, organisational learning, organisational culture, leadership and KM strategy. The KMS and the role of the IT cluster were named accordingly from Ragab and Arisha (2013) contains the keywords technology diffusion, IS alignment, IS implementation, and socio-technical change. ...
... The framework, in this study, covers different topics and insights in KM discipline rather than referring a single special KM topic (e.g., theories, models and environment) or a single KM perspective. The KM framework gives a summary of research design, method and data analysis (based on Fteimi, 2015; Kör and Mutlutürk, 2017), KM activities/ processes/capabilities (based on Mishra and Uday Bhaskar, 2011;Sandhawalia and Dalcher, 2011;Seleim and Khalil, 2011;Kör and Mutlutürk, 2017), KM results/outcomes (based on Chauvel and Despres, 2002;Fteimi, 2015;Kör and Mutlutürk, 2017), theories applied in KM publications (Tzortzaki and Mihiotis, 2014;Fteimi, 2015;Kör and Mutlutürk, 2017), and KM reference disciplines (based on Fteimi, 2015; Kör and Mutlutürk, 2017). In addition, this study introduces a KM framework drawing upon Linstone's (1984Linstone's ( , 1999 multiple-perspectives approach integrating the technical, organisational and personal perspectives and KM users (based on Fteimi, 2015; Pawlowski and Bick, 2015;Serenko, 2013) which form the heart of the framework. ...
... Data collection using online survey method is flexible, versatile, efficient and inexpensive, however, there is the risk of participants not responding (Al-Emadi, 2006). Chauvel and Despres, (2002) stated that questionnaire covered the vast coverage of participants in the sample of the study and provides clear information for conveying the present work. ...
... Moreover, survey sampling approach allows the generalisation of the results to larger populations (Rowley, 2014). Furthermore, survey results can be statistically analysed, and therefore, meaningful conclusions can be drawn (Chauvel and Despres, 2002). ...
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... Usually a small number of employees speak about knowledge management and fewer know exactly what you can do with your current affairs regarding knowledge-based issues. There are different approaches for knowledge management, which can increase the ability to innovate, accountability and consistency to promote the traditional organization to knowledge-based organization [5,6]. ...
... The quantitative data were collected through questionnaires, which are recognized as useful instruments, capable of defining and providing detail about many characteristics of issues under study. Furthermore, the data are collected in a quantitative form that lends itself to statistical analysis [27]. The purpose of the survey was to determine what types of RK were being shared most frequently among academicians in the selected institution. ...
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This paper reports the development of a model system through which academicians can exchange and share research knowledge (RK) in higher learning institutions (HLI). The underlying research to support this development adopted a mixed-method design using an exploratory sequential approach. Data were collected from academic staff in a Malaysian public university over a period of six months using questionnaires and in-person interviews. Quantitative and qualitative analyses were used to extract and describe the study’s results. The study found that the academicians share ten types of RK, including research activities, research topics, research methods, data analysis techniques, research findings, research proposals, research papers, publication procedures, research on subject areas, and research innovation. Based on the study findings, a research knowledge system model (RKSM) was developed. The study contributes to the knowledge sharing area through the identification of RK types shared in HLI, drawn from the quantitative and qualitative results. HLI administrators could benefit from the study findings and establish policies to utilize these types of knowledge.
... Sample bias seems to be a common problem in social science research because it may be difficult to generate a random sample of the full population to be surveyed (Ha, Hu, Fang, et al., 2015). A variant of this issue is that a study may have a narrow scope by design, such as by studying a phenomenon in a specified context (e.g., knowledge management practices within a geographical region: Chauvel & Despres, 2002), although the phenomenon is of more general interest. All non-probability sampling surveys risk sampling bias. ...
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... Grant (2007) examined some 60 papers from three major knowledge management journals and demonstrates that Polanyi's work on tacit knowing has been misinterpreted, especially by Nonaka and Takeuchi (1995), who just extended the personal knowledge to organizational knowledge in a corporate organisational setting. Transferability without participation of a knower is a misinterpretation of the texts of Polanyi that misguided the whole knowledge management literature and practice (Chauvel & Despres, 2002;Crane & Bontis, 2014Gourlay, 2006;Virtanen, 2013). ...
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The objective of this paper is to build a model of how tacit knowing is externalised and becomes reflected external knowledge. Knowl- edge Management (Nonaka, 1991, 1994; Nonaka, Toyama, & Konno, 2000) is an important field in Business Administration. Based on the model provided by Nonaka and his colleagues (Nonaka, 1994; Nonaka & Takeuchi, 1995; Nonaka et al., 2000) researchers and practitioners have fallen into the pipe dream that employees’ tacit knowing can be coded and canned in computers (structural capital), eventually leading to the enterprise without humans. Earlier critics (Gourlay, 2002, 2006; Gourlay & Nurse, 2005, Grant, 2007; Philip- son, 2016, 2019) of the knowledge management paradigm have shown that it does not understand Polanyi’s concept tacit knowing and that it is much more complicated to “externalize” such knowing than presumed by KM. The understanding in extant management litera- ture of this process has been very problematic. Building on concepts in philosophy, psychology, pedagogics, organizational science, and engineering, a model is built and exemplified. This paper develops a theoretical framework for how tacit knowing can be externalized, what is required for such an externalization, and discusses the problems in such externalization, limiting it.
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