Communities of Practice Approach for Knowledge Management Systems
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Forming Communities of Practice in Higher Education: a Theoretical Perspective
FORMING COMMUNITIES OF PRACTICE IN HIGHER EDUCATION: A THEORETICAL PERSPECTIVE Maria Jakovljevic University of South Africa, South Africa [email protected] Sheryl Buckley University of South Africa, South Africa [email protected] Melanie Bushney University of South Africa, South Africa [email protected] Abstract: Communities of practice are groups of people who share a concern or a passion for something they do and learn how to do it better as they interact regularly. The current problem is that there is no specific guidance to form communities of practice (CoP) in higher educational institutions to guide learners’ practical and theoretical knowledge and learning experiences. This comparative action research study will investigate, explore and describe ways of developing learning communities at institutions of higher education in South Africa and Europe, as well as determine the feasibility of doing so. In this research project entitled ‘Women in research’ the team of researchers who are predominantly women will focus on how learner learning can be stimulated through learning in communities of practice. Communities of practice recognise the diverse needs of the increasing numbers of learners entering university with different academic and cultural backgrounds and with varying social expectations and experiences. This study consists of six phases: developing a theoretical framework for communities of practice; exploring preliminary learners’ attitudes toward communities of practice; forming pilot communities of practice; evaluating pilot communities of practice groups; implementing action research to pilot communities of practice; and applying the communities of practice model to other groups. The aim of this paper is to highlight phase one of the study, that of developing a theoretical framework for communities of practice. -
Theory and Application of Tacit Knowledge Transfer
Creative Education, 2014, 5, 1733-1739 Published Online November 2014 in SciRes. http://www.scirp.org/journal/ce http://dx.doi.org/10.4236/ce.2014.519193 Theory and Application of Tacit Knowledge Transfer Jia-Cheng Chang1,2,3, Ding-Bang Luh2, Shiann-Far Kung2, Akira Ueda3 1Creative Product Design, Southern Taiwan University, Tainan City, Chinese Taipei 2Institute of Creative Industries Design, National Cheng Kung University, Tainan City, Chinese Taipei 3Design Culture Unit, Design Science Department, Graduate School of Engineering, Chiba University, Chiba, Japan Email: [email protected] Received 12 September 2014; revised 6 October 2014; accepted 18 October 2014 Copyright © 2014 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract Tacit knowledge, regarding its essence, is a kind of “understanding”, comprehension, and the pro- cess of grasping and re-organizing experiences. Moreover, such ability can be controlled at will. However, spiritual understanding enables people to display the function of dominance and deter- mination of knowledge. Therefore, this study first proposed the tacit knowledge transfer mode; there are two major strategies for the Tacit Knowledge Transfer Method (TKTM): depict the es- sence instead of the appearance and understand spiritually. In other words, it allows learners to represent the knowledge learned and transfer it into body memory in order to apply it to similar situations through deduction and inference. This study aims to integrate Tacit Knowledge Trans- fer Method (TKTM) into sketch instruction. The first phase was “knowledge accumulation”: we used “Mu” way to accumulate drawing knowledge. -
Creating Intellectual Capital: a Habermasisn Community of Practice
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Queen Margaret University eResearch eResearch: the open access repository of the research output of Queen Margaret University, Edinburgh This is an author-formatted version of document published as: O'Donnell, D., Porter, G., McGuire D., Garavan, T.N., Heffernan, M. & Cleary P. (2003): "Creating Intellectual Capital: A Habermasian Community of Practice (CoP) Introduction ", Journal of European Industrial Training, Vol. 27, No. 2/3/4, p. 80 – 87. Accessed from: http://eresearch.qmu.ac.uk/118/ Repository Use Policy The full-text may be used and/or reproduced, and given to third parties for personal research or study, educational or not-for-profit purposes providing that: • The full-text is not changed in any way • A full bibliographic reference is made • A hyperlink is given to the original metadata page in eResearch eResearch policies on access and re-use can be viewed on our Policies page: http://eresearch.qmu.ac.uk/policies.html Copyright © and Moral Rights for this article are retained by the individual authors and/or other copyright owners. http://eresearch.qmu.ac.uk CREATING INTELLECTUAL CAPITAL: A HABERMASIAN COMMUNITY OF PRACTICE (CoP) INTRODUCTION David O’Donnell, Gayle Porter, Dave McGuire, Thomas N. Garavan, Margaret Heffernan and Peter Cleary David O’Donnell The Intellectual Capital Research Institute of Ireland 7 Clonee Road, Ballyagran, Limerick County, Ireland Phone: +353 (0)87 6821032 Email: [email protected] Dr. Gayle Porter Rutgers University School of Business, 227 Penn Street, Camden, NJ 08102, U.S.A. -
Tacit Knowledge in Community of Practice: - Implications of Using Social Communication Tools
Degree project Tacit Knowledge in Community of Practice: - Implications of using Social Communication Tools Author: Yuanmao Wang Date: 2013-05-14 Subject: Information System Level: Master Course code: 4IK00E Abstract Knowledge plays an increasingly important role in business, company, and organiza- tion, it is the ability for organization to learn and assimilate new knowledge in order to make plans or business progresses. However, when comes to the tacit knowledge, in most cases, as Polanyi (1969) said ”we can know more than we can tell”, which means in our daily lives, most of the knowledge stored in our brain can not be ex- pressed out to others easily, we call this kind of knowledge ”tacit”. Therefore, tacit knowledge holds most part of our knowledge - and at the same time - harder to iden- tify and share. There is an popular approach called ’Community of Practice (CoP)’ which aims at creating and sharing knowledge through informal practicing and learning. Thus, in this study, a qualitative research is desired to be made on the approach of commu- nity of practice as well as its effects on tacit knowledge sharing. The purpose of this study is to understand the pattern of sharing tacit knowledge among communities with social communication technologies (Tencent QQ) embedded, and to explore the mechanisms of generating and transferring tacit knowledge with ”community of practice”. keywords: knowledge, tacit knowledge, knowledge sharing, knowledge creation, community of practice, team learning, social communication tools. i Contents 1 Introduction1 -
Exploring Intellectual Capital Management in Smes
Journal of Intellectual Capital Exploring intellectual capital management in SMEs: an in-depth Italian case study Giuseppe Marzo Elena Scarpino Article information: To cite this document: Giuseppe Marzo Elena Scarpino , (2016),"Exploring intellectual capital management in SMEs: an in- depth Italian case study", Journal of Intellectual Capital, Vol. 17 Iss 1 pp. 27 - 51 Permanent link to this document: http://dx.doi.org/10.1108/JIC-09-2015-0075 Downloaded on: 11 January 2016, At: 04:12 (PT) References: this document contains references to 80 other documents. To copy this document: [email protected] The fulltext of this document has been downloaded 94 times since 2016* Users who downloaded this article also downloaded: Stefano Zambon, (2016),"Ten years after: the past, the present and the future of scholarly investigation on intangibles and intellectual capital (IC)", Journal of Intellectual Capital, Vol. 17 Iss 1 pp. - http://dx.doi.org/10.1108/JIC-11-2015-0093 Stefan Schaper, (2016),"Contemplating the usefulness of intellectual capital reporting: Reasons behind the demise of IC disclosures in Denmark", Journal of Intellectual Capital, Vol. 17 Iss 1 pp. 52-82 http://dx.doi.org/10.1108/JIC-09-2015-0080 John Dumay, (2016),"A critical reflection on the future of intellectual capital: from reporting to disclosure", Journal of Intellectual Capital, Vol. 17 Iss 1 pp. 168-184 http://dx.doi.org/10.1108/ JIC-08-2015-0072 Access to this document was granted through an Emerald subscription provided by emerald- srm:518072 [] For Authors If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. -
Nonaka's Four Modes of Knowledge Conversion
At the Knowledge Advantage Conference held November 11-12, 1997, Dr. Ikujiro Nonaka gave a presentation. Below is a summary of his presentation written by Bill Spencer of the National Security Agency. Organizational Knowledge Creation Ikujiro Nonaka It would take a book to do justice to Professor Nonaka’s presentation. Fortunately, he already wrote it - The Knowledge Creating Company. These notes will just hit some of the highlights. At the heart of Nonaka's work is the premise that there are two types of knowledge: tacit and explicit. Tacit knowledge is subjective and experience based knowledge that can not be expressed in words, sentences, numbers or formulas, often because it is context specific. This also includes cognitive skills such as beliefs, images, intuition and mental models as well as technical skills such as craft and know- how. Explicit knowledge is objective and rational knowledge that can be expressed in words, sentences, numbers or formulas (context free). It includes theoretical approaches, problem solving, manuals and databases. Nonaka models knowledge transfer as a spiral process. Start with a 2x2 matrix, in which existing knowledge can be in either form - tacit or explicit - and the objective of knowledge transfer can be to convey either tacit or explicit knowledge. Each mode of transfer operates differently: Nonaka’s Four Modes of Knowledge Conversion Tacit Knowledge Tacit Knowledge Tacit Socialization Externalization Explicit Knowledge Knowledge Tacit Explicit Knowledge Internalization Combination Knowledge Explicit Knowledge Explicit Knowledge Each type of knowledge can be converted. When viewed as a continuous learning process, the model becomes a clockwise spiral; organizational learning depends on initiating and sustaining the learning spiral. -
Intellectual Capital, Social Capital and Communities of Practice
Intellectual Capital, Social Capital and Communities of Practice John Pierce C Eng, FICS This, the third of a series of articles on Managing Knowledge, visits the concepts of intellectual and social capital and looks at communities of practice, with a real example; Fujitsu’s Café VIK. Later articles will address learning, categorising and searching, and will attempt to define a knowledge management system and suggest a path towards exploiting knowledge for profit. I wrote in a previous article about knowledge having both a value and a cost. The value is often discussed – look at any advertisement for knowledge management ‘systems’ or consulting companies – but the cost is usually ignored. We shall return in a later article to the concept of cost and the knowledge market, but let us first look at that of value. A lot of the original work on this came from the Nordic countries, where Karl-Eric Sveibyi,ii and Leif Edvinssoniii at Skandiaiv created the concept of Intellectual Capital. Consider Microsoft’s market value. Subtract from that the financial capital, represented by the assets on the books, and you are left with a very large positive number. This is deemed to represent the intellectual capital, which is further broken down into structural or organizational capital and human capital (Figure 1). A further refinement is the addition of customer capital, which includes the customers you have, your reputation and Figure 1 Financial and intellectual capital (after relationship with them, Edvinsson) what you know about them and the potential business that you might do with them. Human capital, according to Edvinsson, is defined as the combined knowledge, skill, innovativeness and ability of the company's individual employees to meet the task at hand. -
Participant Perceptions of Knowledge Sharing in a Higher Education Community of Practice
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UNF Digital Commons University of North Florida UNF Digital Commons UNF Graduate Theses and Dissertations Student Scholarship 2016 Participant Perceptions of Knowledge Sharing in a Higher Education Community of Practice Shawn Whittaker Brayton University of North Florida, [email protected] Follow this and additional works at: https://digitalcommons.unf.edu/etd Part of the Educational Leadership Commons Suggested Citation Brayton, Shawn Whittaker, "Participant Perceptions of Knowledge Sharing in a Higher Education Community of Practice" (2016). UNF Graduate Theses and Dissertations. 636. https://digitalcommons.unf.edu/etd/636 This Doctoral Dissertation is brought to you for free and open access by the Student Scholarship at UNF Digital Commons. It has been accepted for inclusion in UNF Graduate Theses and Dissertations by an authorized administrator of UNF Digital Commons. For more information, please contact Digital Projects. © 2016 All Rights Reserved PARTICIPANT PERCEPTIONS OF KNOWLEDGE SHARING IN A HIGHER EDUCATION COMMUNITY OF PRACTICE by Shawn Whittaker Brayton A dissertation proposal submitted to the Department of Leadership, School Counseling, and Sport Management in partial fulfillment of the requirements for the degree of Doctorate of Educational Leadership UNIVERSITY OF NORTH FLORIDA COLLEGE OF EDUCATION AND HUMAN SERVICES Summer, 2016 Unpublished work © Shawn W. Brayton i The dissertation of Shawn W. Brayton is approved: ___________________________________________ Date____________________ Elinor A. Scheirer, Ph.D., Chair ___________________________________________ Date____________________ C. Bruce Kavan, Ph.D. ___________________________________________ Date____________________ Luke M. Cornelius, Ph.D. ___________________________________________ Date____________________ Jennifer A. Kane, Ph.D. Accepting for the Department: ___________________________________________ ____________________ Christopher A. -
3.996 Peer Reviewed & Indexed Journal IJMSRR E- ISSN
Re sea rch Pa per IJMSRR Impact Factor: 3.996 E- ISSN - 2349-6746 Peer Reviewed & Indexed Journal ISSN -2349-6738 ORGANIZATIONAL CULTURE AS DETERMINANT OF KNOWLEDGE SHARING PRACTICES OF TEACHERS WORKING IN HIGHER EDUCATION SECTOR Dr. Santhosh Areekkuzhiyil Assistant Professor, Government Brennen College of Teacher Education, (Research Centre in Education, Kannur University), Kerala. Abstract The current study aims to explore the influence of organisational culture on the knowledge sharing practices of teachers working in higher education sector. The study hypothesized the impact of various aspects of organisational culture on the knowledge sharing practices of teachers working in higher education sector. The data required for the study has been conveniently collected from 250 teachers working in various higher educational institutions in the Kerala state. The study used PSL SEM for analysis and found that the organisational culture explain 35.9 % the knowledge sharing practices of the teachers working in the higher education sector of the state. Out of the factors of organisationl culture, communication, trust and organizational structure influence significantly the knowledge sharing practice of teachers Key words : Knowledge Sharing Practices, Organisational Culture, Higher Education, Partial Least Square, PLS-SEM. 1. Background of the Study Knowledge sharing is the process by which individuals make their knowledge available to others. Davenport (1997) defined it as voluntary and distinguished it from reporting. While reporting involves the exchange of information based on some routines or structured formats, sharing implies a voluntary act by an individual who participates in the knowledge exchange even though there is no compulsion to do so. Knowledge sharing can occur through communications and networking with other experts, or documenting, organising and capturing knowledge for others (Cummings, 2004; Pulakos et al. -
6 Principles of Knowledge Sharing
6 Principles of Knowledge Sharing By Flemming Poulfelt, Professor at the Copenhagen Business School & Nicoline Jacoby Petersen, Programme Co-ordinator of the Master of Knowledge Management programme Knowledge sharing is often ranked side-by- always say more than we can write down. So side with IT: databases, intranet and email not all knowledge can be made explicit, systems. “It’s on the Internet” or ”I sent you written down and categorised. But even in an email about that” are the answers one those occasions where this is actually most frequently receives when requesting possible, there can be “noise” in the receiver information about something or the other. This end. It is a common belief that the knowledge has resulted in a paradoxical situation where – keyed into a database by one person is not despite the accessibility of increasing amounts necessarily the same as that extracted by of information - many feel that they don’t have another person, since our mental models are enough information… different. Hence the way in which we receive and understand information vary greatly, and The fact that information is available by no therefore, we interpret it differently. There’s an means makes it visible or usable by the old saying: brain, heart, feet. In other words, receiver. Building a knowledge sharing understanding what is written is not the same organisation on databases brings along a as agreeing with it, let alone that one is able range of other problems: motivation of to act on it. employees to contribute and to utilise them, updating the data and assuring the quality. -
Collective Intelligence-Based Resource Allocation to Optimise Knowledge and Innovation Harnessing in Corporate Environments Ioan
Int. J. Organisational Design and Engineering, Vol. X, No. Y, xxxx 1 Collective intelligence-based resource allocation to optimise knowledge and innovation harnessing in corporate environments Ioanna Lykourentzou* Institut National de Recherche en Informatique et en Automatique (INRIA), 615 rue du Jardin Botanique, 54600 Villers-lès-Nancy, France and Centre de Recherche Public Henri Tudor, 29, Avenue John F. Kennedy L-1855 Luxembourg-Kirchberg, Luxembourg E-mail: [email protected] E-mail: [email protected] *Corresponding author Dimitrios J. Vergados School of Electrical and Computer Engineering, National Technical University of Athens, Zographou Campus, 15773 Athens, Greece and Informatics and Computer Technology Department, Technological Educational Institute of Western Macedonia, P.O. Box, Fourka Area, 52100 Kastoria, Greece E-mail: [email protected] Amedeo Napoli Institut National de Recherche en Informatique et en Automatique (INRIA), 615 rue du Jardin Botanique, 54600 Villers-lès-Nancy, France E-mail: [email protected] Abstract: A typical problem that large enterprises face is how to effectively harness the intangible knowledge, expertise, skills and lessons learnt of their staff members. Intangible knowledge harnessing and its codification into usable document formats are vital for the enterprise since they directly affect its ability to innovate and solve complex new problems. However, the identification of the individuals whose contribution can solve each knowledge-demanding problem may be difficult. In this paper, we propose a novel mechanism that uses the collective intelligence of the corporate crowd to identify the tacit knowledge competencies of each employee and coordinate their contributions, inside a wiki-like system, so that each individual may contribute in the Copyright © 200x Inderscience Enterprises Ltd. -
Community's Knowledge Need and Knowledge Sharing in Wikipedia
Cite as: Pee, L.G. 2018. "Community’s Knowledge Need and Knowledge Sharing in Wikipedia," Journal of Knowledge Management (22:4), pp. 912-930. Community’s Knowledge Need and Knowledge Sharing in Wikipedia L. G. Pee, Nanyang Technological University, [email protected] Abstract In practice, showing the community’s need for knowledge (e.g., listing requests for new articles) is used to drive knowledge sharing in Wikipedia. Yet, theoretical understanding of how it influences one’s knowledge sharing is still lacking. This study develops a model of the influence and shows that one takes others’ utility into account (utility interdependence). Specifically, others’ knowledge need affects one’s perceived forgone benefit of free riding (i.e., a cost of knowledge sharing) and thereby increases the intention to share knowledge. This study contributes to research by identifying utility interdependence in knowledge sharing. For practice, the findings provide empirical support for the general belief that showing others’ knowledge need is useful for promoting sharing. Keywords: Others’ need, knowledge sharing, utility interdependence, knowledge codification effort, Wikipedia Page 1 Community’s Knowledge Need and Knowledge Sharing in Wikipedia Introduction Wikipedia seeks to “create a web‐based, free content encyclopedia of all branches of knowledge” (Wikipedia, 2016). As of September 2017, Wikipedia has more than 43 million articles in more than 250 languages (Wikipedia, 2017). The comprehensiveness and accessibility of Wikipedia have made it a popular collaborative knowledge repository. Wikipedia has been consistently ranked among the ten most‐visited websites globally, with more than 500 million unique visitors a month (Alexa, 2016). At the core of Wikipedia’s development is voluntary knowledge sharing, which occurs as knowledgeable users address others’ need for knowledge.