Social Knowledge Workspace

2011 ◽  
pp. 193-206
Author(s):  
Jagdish K. Vasishtha
Keyword(s):  
Knowledge Management ◽  
Organizational Learning ◽  
Relevant Information ◽  
Content Management ◽  
Social Knowledge ◽  
Knowledge Capture ◽  
Team Collaboration ◽  
Technological Advances ◽  
Key Characteristics ◽  
Content Management Systems

Over the years, knowledge management in organizations has picked up steam with implementation of various solutions like Content Management Systems, Wiki, etc. However, the ability to find relevant information and capture organizational learning still looks like a distant dream. Also, organizations worldwide are transforming due to changes in worker demographics, globalization of business and technological advances. The knowledge workers of today need tools for effective knowledge capture and team collaboration. Some of the key concerns which will be analyzed in this chapter are; (a) Knowledge fragmentation due to technology, (b) Relevancy of information to a user and (c) Push vs. Pull approach of accessing information. The chapter will also explore how these challenges can be addressed by social knowledge workspaces and what should be some of the key characteristics of these technologies under development.

Chief Knowledge Officers

2011 ◽  
pp. 527-531 ◽  
Author(s):  
Richard T. Herschel
Keyword(s):  
Knowledge Management ◽  
Content Management ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Use Of Data ◽  
Yellow Page ◽  
Improved Performance ◽  
Effective Use ◽  
Innovation Knowledge ◽  
Content Management Systems

Knowledge management (KM) refers to a range of practices used by organizations to identify, create, represent, and distribute knowledge for reuse, awareness, and learning across the organization. KM typically takes the form of programs that are tied to organizational objectives and are intended to lead to the achievement of specific outcomes such as shared intelligence, improved performance, competitive advantage, or higher levels of innovation. Knowledge management focuses on developing and maintaining intellectual capital across the organization. It attempts to bring under one set of practices various strands of thought and practice relating to: • Harnessing the effective use of data, information, and know-how in a knowledge-based organization and economy • The idea of the learning organization • Various enabling organizational practices such as communities of practice and corporate yellow page directories for accessing key personnel and expertise • Various enabling technologies such as knowledge bases and expert systems, help desks, corporate intranets and extranets, and content management systems (Wikipedia, 2007). Beginning in the 1990s, the person responsible for directing and coordinating these activities for organizations was oftentimes designated the chief knowledge office (CKO).

Knowledge Management Systems

2011 ◽  
pp. 442-450 ◽  
Author(s):  
Ronald Maier ◽  
Thomas Hadrich
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Content Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Future Trends ◽  
E Learning ◽  
Abstract Level ◽  
State Of Practice ◽  
Content Management Systems

Knowledge management systems (KMSs) are seen as enabling technologies for an effective and efficient knowledge management (KM). However, up to date the term knowledge management system has often been used ambiguously. Examples are its use for specific KM tools, for KM platforms, or for (a combination of) tools that are applied with KM in mind. So far, investigations about the notion of KMS remain on the abstract level of what a KMS is used for, for example, “a class of information systems applied to managing organizational knowledge” (Alavi & Leidner, 2001, p. 114). The following two sections define the term KMS and obtain a set of characteristics that differentiates KMS from traditional information systems, such as intranet infrastructures, document- and content-management systems, groupware, or e-learning systems. Then, two ideal architectures for KMS are contrasted. It is discussed which KMS architecture fits what type of KM initiatives, and some empirical findings on the state of practice of KMS are summarized. The last sections give an outlook on future trends and conclude the article.

Knowledge Management Systems

2010 ◽  
pp. 779-790 ◽  
Author(s):  
Ronald Maier ◽  
Thomas Hadrich
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Content Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Future Trends ◽  
E Learning ◽  
Abstract Level ◽  
State Of Practice ◽  
Content Management Systems

Knowledge management systems (KMSs) are seen as enabling technologies for an effective and efficient knowledge management (KM). However, up to date the term knowledge management system has often been used ambiguously. Examples are its use for specific KM tools, for KM platforms, or for (a combination of) tools that are applied with KM in mind. So far, investigations about the notion of KMS remain on the abstract level of what a KMS is used for, for example, “a class of information systems applied to managing organizational knowledge” (Alavi & Leidner, 2001, p. 114). The following two sections define the term KMS and obtain a set of characteristics that differentiates KMS from traditional information systems, such as intranet infrastructures, document- and content-management systems, groupware, or e-learning systems. Then, two ideal architectures for KMS are contrasted. It is discussed which KMS architecture fits what type of KM initiatives, and some empirical findings on the state of practice of KMS are summarized. The last sections give an outlook on future trends and conclude the article.

Integration of Knowledge Management and Business Intelligence for Lean Organizational Learning by the Digital Worker

2019 ◽  
pp. 130-140 ◽  
Author(s):  
Selvi Kannan ◽  
Shah J. Miah
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Labor Market ◽  
Organizational Learning ◽  
Behavioral Science ◽  
Content Management ◽  
Decision Makers ◽  
Digital World ◽  
Global Labor Market ◽  
Work Knowledge

The polarization of global labor market, hunt for talent, need to adapt quickly to changing environment is pressuring businesses more than ever before on their performance. This is further snowballed with the development of digitalization, automation, robotization, and artificial intelligence that offer approaches for addressing enormous industry challenges. These challenges create a push for organizational decision makers to rethink on the management of work. Knowledge management (KM) is understood to encourage content management, collaboration with inclusion of organizational behavioral science, and of course technologies. Complementing BI with knowledge management (KM) system in an organization can account for lean and accelerated performance. In this chapter, the authors present their position and insights in the integration of KM and BI suited for the worker in the digital world which possibly encourages lifelong learning with the focus on adaptability.

Knowledge Management Software

2009 ◽  
pp. 438-449
Author(s):  
Rodrigo Baroni de Carvalho ◽  
Marta Araújo Tavares Ferreira
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Content Management ◽  
Knowledge Map ◽  
Management Software ◽  
Software Products ◽  
Software Market ◽  
Knowledge Processes ◽  
Innovation Support ◽  
Content Management Systems

Due to the vagueness of the concept of knowledge, the software market for knowledge management (KM) seems to be quite confusing. Technology vendors are developing different implementations of the KM concepts in their software products. Because of the variety and quantity of KM tools available on the market, a typology may be a valuable aid to organizations that are searching and evaluating KM software suitable to their needs. The objective of this article is to present a typology that links software features to knowledge processes described in the SECI (socialization, externalization, combination, internalization) model developed by Nonaka and Takeuchi (1995). KM solutions such as intranet systems, content-management systems (CMSs), groupware, work flow, artificial intelligence- (AI) based systems, business intelligence (BI), knowledge-map systems, innovation support, competitive intelligence (CI) tools, and knowledge portals are discussed in terms of their potential contributions to the processes of socialization, externalization, internalization, and combination.

Knowledge Management Systems

2011 ◽  
pp. 541-552 ◽  
Author(s):  
Ronald Maier ◽  
Thomas Hadrich
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Content Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Future Trends ◽  
E Learning ◽  
Abstract Level ◽  
State Of Practice ◽  
Content Management Systems

Knowledge management systems (KMSs) are seen as enabling technologies for an effective and efficient knowledge management (KM). However, up to date the term knowledge management system has often been used ambiguously. Examples are its use for specific KM tools, for KM platforms, or for (a combination of) tools that are applied with KM in mind. So far, investigations about the notion of KMS remain on the abstract level of what a KMS is used for, for example, “a class of information systems applied to managing organizational knowledge” (Alavi & Leidner, 2001, p. 114). The following two sections define the term KMS and obtain a set of characteristics that differentiates KMS from traditional information systems, such as intranet infrastructures, document- and content-management systems, groupware, or e-learning systems. Then, two ideal architectures for KMS are contrasted. It is discussed which KMS architecture fits what type of KM initiatives, and some empirical findings on the state of practice of KMS are summarized. The last sections give an outlook on future trends and conclude the article.

Ontology-Supported Web Content Management

2005 ◽  
pp. 203-223
Author(s):  
Geun-Sik Jo ◽  
Jason J. Jung
Keyword(s):  
Semantic Web ◽  
Electronic Commerce ◽  
Case Studies ◽  
Relevant Information ◽  
Content Management ◽  
Management Systems ◽  
Web Content ◽  
Content Management Systems ◽  
The Web

This chapter introduces the ontology-supported Web content management. Since the Web was regarded as one of the most important tools for searching relevant information, many studies have been attempting to develop efficient and accurate management of Web content and resources. We have been focusing on how to exploit the ontology to support semantic conceptualization of information on the Web. Especially, the emergence of semantic Web emphasizes the importance of the ontological processes. In this chapter, we will mention content management systems on the semantic Web, and then, we will introduce two applications from viewpoints of personalized content and electronic commerce as case studies.

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