Special Issue "Knowledge Management: Best Practices in Sharing and Preserving Valuable Knowledge"

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A special issue of Information (ISSN 2078-2489).

Deadline for manuscript submissions: closed (30 June 2014)

Special Issue Editor

Guest Editor
Prof. Dr. Eric Tsui

Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Website | E-Mail
Phone: +85227666609
Interests: Cloud intelligence; Cloud logic; Knowledge quality analysis; Semantic technologies; Blended Learning; Knowledge-enabled Business Processes; Personal Knowledge Management; Web 2.0; Enterprise 2.0 tools

Special Issue Information

Dear Colleagues,

Knowledge management (KM) is a multidisciplinary field of research and practice that builds upon the foundations of data, records, document and information management. KM encompasses the creation, documentation, organization, transfer and preservation of valuable know-how that has been gleaned from practical experience. It is the opposite of “organizational amnesia”—we do not want to forget innovative new ideas and practices, nor do we want to learn things again (especially not the hard way). Both theory and practice go hand-in-hand in order to identify what knowledge is of value to an individual, a group/team and an organization. Once identified, this content needs to be documented, classified and well tagged for future retrieval and reuse. Organizational learning cannot occur if we cannot remember and learn from past experiences. In addition to being based on experiential learning (as opposed to “book” knowledge), KM is distinguished by its inclusion of tacit as well as explicit knowledge. Tacit knowledge tends to be knowledge that is very difficult to share or transfer to others, residing primarily in people, whereas explicit knowledge has been documented in some form (text, audio, etc.). Both tacit and explicit forms of knowledge play a crucial role in ensuring that knowledge workers find and use the latest vetted and validated best practices. Conversely, KM also plays a vital role in ensuring that past mistakes are not repeated, that lessons are learned and that we always start off on the right foot—that is, standing on the accumulated collective knowledge, know-how and experience that has gone before.

The goal of this Special Issue is to provide the interested reader with a collection papers describing recent developments in knowledge transfer and preservation. Topics of interest include, but are not limited to:

  • Knowledge transfer techniques: 
    • methods used to transfer tacit knowledge
    • methods used to transfer explicit knowledge
  • Knowledge preservation best practices
    • Organizational learning
    • Organizational memory
    • Knowledge retention when employees leave (retirement, non-anticipated departures)
  • Case studies in knowledge transfer and preservation: HR, IT and other perspectives
  • Theoretical frameworks and models
  • Key obstacles to knowledge transfer and preservation
    • Copyright issues
    • Cultural barriers
  • Key success factors

Prof. Dr. Eric Tsui
Guest Editor

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed Open Access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 300 CHF (Swiss Francs). English correction and/or formatting fees of 250 CHF (Swiss Francs) will be charged in certain cases for those articles accepted for publication that require extensive additional formatting and/or English corrections.


Keywords

  • knowledge transfer
  • knowledge preservation
  • knowledge retention
  • organizational learning
  • organizational memory
  • knowledge continuity
  • organizational amnesia
  • knowledge management cycle
  • knowledge management technologies
  • knowledge management models
  • knowledge transfer and retention policies
  • organizational culture

Published Papers (2 papers)

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Research

Open AccessArticle Critical Success Factors in Capturing Knowledge for Retention in IT-Supported Repositories
Information 2014, 5(4), 558-569; doi:10.3390/info5040558
Received: 27 June 2014 / Revised: 16 October 2014 / Accepted: 17 October 2014 / Published: 28 October 2014
Cited by 1 | PDF Full-text (979 KB) | HTML Full-text | XML Full-text
Abstract
In this paper, the authors demonstrate the suitability of IT-supported knowledge repositories for knowledge retention. Successful knowledge retention is dependent on what is stored in a repository and, hence, possible to share. Accordingly, the ability to capture the right (relevant) knowledge is a
[...] Read more.
In this paper, the authors demonstrate the suitability of IT-supported knowledge repositories for knowledge retention. Successful knowledge retention is dependent on what is stored in a repository and, hence, possible to share. Accordingly, the ability to capture the right (relevant) knowledge is a key aspect. Therefore, to increase the quality in an IT-supported knowledge repository, the identification activity, which starts the capture process, must be successfully performed. While critical success factors (CSFs) for knowledge retention and knowledge management are frequently discussed in the literature, there is a knowledge gap concerning CSFs for this specific knowledge capture activity. From a knowledge retention perspective, this paper proposes a model that characterizes CSFs for the identification activity and highlights the CSFs’ contribution to knowledge retention. Full article
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Open AccessArticle Knowledge Leakages and Ways to Reduce Them in Small and Medium-Sized Enterprises (SMEs)
Information 2014, 5(3), 440-450; doi:10.3390/info5030440
Received: 28 June 2014 / Revised: 29 August 2014 / Accepted: 29 August 2014 / Published: 4 September 2014
PDF Full-text (1410 KB) | HTML Full-text | XML Full-text
Abstract
In this paper, we look into knowledge leakages and ways to address them. It is conducted from the point of view of small and medium-sized enterprises (SMEs), as their specific attributes create unique challenges. Based on a discussion of the relevant fields, ways
[...] Read more.
In this paper, we look into knowledge leakages and ways to address them. It is conducted from the point of view of small and medium-sized enterprises (SMEs), as their specific attributes create unique challenges. Based on a discussion of the relevant fields, ways are presented in order to reduce the danger of knowledge leakages. In view of practitioners, the paper’s findings may enable an increased awareness towards the areas where existing knowledge is at the mercy of “leakage”. This can assist managers of SMEs to better cope with risks related to knowledge leakage and, therefore, better exploit the (limited) knowledge base available. Full article

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