Collaborative knowledge management for corporate ecological responsibility

Purpose Knowledge has become the basis of enhancing the core competitiveness of enterprises in this era of knowledge-driven economies. Collaborative knowledge management not only realizes the real-time exchange and communication of knowledge among different enterprises, but also facilitates the collaboration and integration of knowledge. Collaborative knowledge management has been successfully applied to different fields. To address the poor ecological responsibility of enterprises, the purpose of this paper is to introduce the concept of collaborative knowledge management in this research to determine if the evolution of the decision-making process in collaborative knowledge management is involved in corporate ecological responsibility (CER). Design/methodology/approach This research established an evolutionary game model of collaborative knowledge management for CER. The behavioral, evolutionary law and stable behavioral, evolutionary strategy of the participants was identified according to the replicator dynamics equation. Simulation analysis was conducted using MATLAB software. Findings Research results demonstrated that, first, the strategic selection of firms is influenced by cost and interest coefficients. Second, the strategy, selection of enterprises, is related to the common benefits of enterprise cooperation. Third, during the systematic evolution and stabilization of strategies, enterprises adopt the same knowledge strategies. Originality/value On the basis of the research findings, policy suggestions were proposed to encourage enterprises to implement collaborative knowledge management strategies in ecological responsibility.

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Mass collaborative knowledge management

Program electronic library and information systems ◽

10.1108/prog-02-2015-0023 ◽

2015 ◽

Vol 49 (3) ◽

pp. 325-342 ◽

Cited By ~ 7

Author(s):

Chaolemen Borjigen

Keyword(s):

Knowledge Management ◽

Domain Knowledge ◽

Interaction Model ◽

Organizational Knowledge ◽

Literature Study ◽

Knowledge Processing ◽

Content Type ◽

Mass Collaboration ◽

Collaborative Knowledge Management ◽

Collaborative Knowledge

Purpose – The purpose of this paper is to reveal the underlying principles of knowledge processing in a new era of mass collaboration and provide an integrated guideline for organizational knowledge management (KM) based on identifying the gaps between the existing KM theories and emerging knowledge initiatives such as Web 2.0, Pro-Am, Crowdsourcing, as well as Open Innovation. Design/methodology/approach – This research mainly employs three types of research methodologies: Literature study was conducted to connect this study with conventional theories in KM and propose the main principles of Mass Collaborative Knowledge Management (MCKM). Object-oriented modeling was used for designing its interaction model. The case study method was employed to discuss the two typical practices carried out by Goldcorp Inc. as well as the Defence Advanced Research Projects Agency. Findings – This paper proposes the novel KM paradigm called MCKM and also provides its main principles and the interaction model. First, it identifies the gaps between emerging practices and existing KM theories. Second, it embraces the long tails into the scope of organizational KM and extends the scope of prevailing KM studies. Third, it falls back on Pro-Ams to save the costs of and to reduce the risk to organizational KM as well. Fourth, it highlights the advantages of opening organizational internal knowledge and transforms the core beliefs in conventional KM. Finally, it classifies organizational knowledge into two types, domain knowledge and non-domain knowledge, and provides some managing policies, respectively. Practical implications – Introducing MCKM into organizational KM will not only enhance the organizational knowledge creation and sharing, but also help an organization build its open knowledge ecosystem. Originality/value – This is a paper to introduce a new direction of KM studies, which guides an organization to build an open knowledge ecosystem by implementing mass collaborations and taking advantages of the complementary advantages of men and machines in knowledge processing.

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Modeling of User Interest Based on Its Interaction with a Collaborative Knowledge Management System

Human-Computer Interaction. Ambient, Ubiquitous and Intelligent Interaction - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02580-8_36 ◽

2009 ◽

pp. 330-339

Author(s):

Jaime Moreno-Llorena ◽

Xavier Alamán Roldán ◽

Ruth Cobos Perez

Keyword(s):

Knowledge Management ◽

Management System ◽

Knowledge Management System ◽

User Interest ◽

Collaborative Knowledge Management ◽

Collaborative Knowledge

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Enabling Intelligence in Web-Based Collaborative Knowledge Management System

Mobile and Web Innovations in Systems and Service-Oriented Engineering ◽

10.4018/978-1-4666-2470-2.ch004 ◽

2013 ◽

pp. 63-82

Author(s):

Krissada Maleewong ◽

Chutiporn Anutariya ◽

Vilas Wuwongse

Keyword(s):

Knowledge Management ◽

Knowledge Creation ◽

Management System ◽

Knowledge Management System ◽

Web Based ◽

Creation Process ◽

Relevant Term ◽

Collaborative Knowledge Management ◽

Knowledge Representation Language ◽

Collaborative Knowledge

This paper presents an approach to enhance various intelligent services of a Web-based collaborative knowledge management system. The proposed approach applies the two widely-used argumentation technologies, namely IBIS and Toulmin’s argumentation schemes, to structurally capture the deliberation and collaboration occurred during the consensual knowledge creation process. It employs RDF and OWL as its underlying knowledge representation language with well-defined semantics and reasoning mechanisms. Users can easily create knowledge using a simple corresponding graphical notation with machine-processable semantics. Derivation of implicit knowledge, similar concept discovery, as well as semantic search, are also enabled. In addition, the proposed approach incorporates the term suggestion function for assisting users in the knowledge creation process by computing the relevance score for each relevant term, and presenting the most relevant terms to users for possible term reusing or equivalence concepts mapping. To ensure the knowledge consistency, a logical mechanism for validating conflicting arguments and contradicting concepts is also developed. Founded on the proposed approach, a Web-based system, namely ciSAM, is implemented and available for public usage.

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