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.

Design of Knowledge Based Analytical Model for Organizational Excellence

2019 ◽  
Vol 9 (1) ◽  
pp. 12-25 ◽  
Author(s):  
Sonal Pathak ◽  
Rashmi Agrawal
Keyword(s):  
Knowledge Management ◽  
Analytical Model ◽  
Research Model ◽  
System Perspective ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Organizational Excellence ◽  
Managerial Task ◽  
Improved Performance ◽  
Almost All

Knowledge is the key resource which always contributes to an improved performance of an organization if it is properly harnessed and leveraged. The administration of assets related to intellect has become an essential managerial task. An ample variety of organizations have commenced initiative to contribute their best ideas on knowledge management. This article focuses this progression in more detailed approach with a description of its basic elements. Organizations have always faced a challenge to the acceptance of knowledge management in their firms. The authors of the article suggest a model for knowledge management (KM) from system perspective. This article includes an overview of knowledge management components and the proposal of an analytical model which includes all the factors required for an excellent knowledge-based system. As knowledge is generally disseminated among almost all systems in any organization, the proposed research model supports the evaluation of knowledge within the organization, using both subjective and objective dimensions which are a challenge point out in many of the existing research studies.

scholarly journals Content Management Systems Viewed From A Behaviorism, Cognitivism, Constructivism & Connectivism Perspective

2015 ◽  
Vol 21 (3) ◽  
pp. 688-693
Author(s):  
Luminiţa Giurgiu ◽  
Ghiţă Bârsan
Keyword(s):  
Information And Communication Technologies ◽  
Content Management ◽  
Management Systems ◽  
Education Student ◽  
Resource Information ◽  
Knowledge Based ◽  
It Systems ◽  
Wide Range ◽  
Content Reuse ◽  
Content Management Systems

Abstract The knowledge based organization is the organization in which production and consumption of knowledge is the most important type of activity, knowledge is recognized as a key resource, information and communication technologies are core technologies and information environment, together with the social and the ecological ones, constitute the human existence. The information society allows broad access to information for its members, becoming a new way of working and knowledge. The new digital technologies essential reduce the cost of access, storage and transmission of information. IT systems play an important role in processes that speed up the exchange of information within the organization and between organizations and in effective dissemination of information to the consumer or, if we are talking in the context of education, student. In this context, where there is an ongoing need for education and training, the Web has become a new medium for publishing the information. So, websites are used to promote businesses and products, provide services and information, and facilitate communication. For medium and large sites, the question of their content management occurs. Therefore content management systems have been implemented (CMS). The system inputs are information to be published, and the outputs are the pages that will be seen by visitors. Content management is the systematic and structured supply, creation, processing, management, presentation, publishing and content reuse. There is a wide range of CMS, but no solution is able to manage all types of content. Referring this in the field of education and learning, the article aims to analyze the types of CMS systems consistent with known theories and models of learning: behaviorism, cognitivism, constructivism & connectivism.

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.

scholarly journals The Impact of Intelligent Interfaces on the Performance of Knowledge Base Systems

2016 ◽  
Vol 4 (2) ◽  
pp. 84
Author(s):  
Abid Thyab Al Ajeeli
Keyword(s):  
Knowledge Management ◽  
Knowledge Base ◽  
Knowledge Bases ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Knowledge Based ◽  
Experimental Systems ◽  
Knowledge Base Systems ◽  
The Right ◽  
The Impact

<div><p><em>Although Knowledge is recognized as a strategic force in organizations, knowledge creation and management is not simply the capture and storage of items of information. It requires the storage and processing of associations through which meaning can be derived from the information. Association can be represented in explicit and observable forms in a knowledge base. The paper discusses issues relating to design a better quality</em><em> interactive interface system for human to have a dialog with the knowledge management systems. At the same time, the paper investigates the ease of evaluation and implementation of a knowledge management system. It performs a major role in providing users with capabilities of dealing with underlying systems. Designing a good interface style using knowledge bases can have a profound effect on the nature of the dialog. </em></p><p><em> </em></p><p><em>Interfacing a knowledge base oriented system can be seen as a dialog between the knowledge base and the user. It plays a major role in providing users with capabilities that deal with underlying systems. Designing a good interface style can have a profound effect on the nature of the dialog. Design of a user interface involves determining approaches in which users interact with the knowledge-based system. The design process, can be complex and multifaceted, begins by identifying system users, through classification of them to understanding their characteristics. The study investigates the improvement of performance by performing an actual study of many experimental systems sufficient to provide judgments for taking the right decision.  Results confirm that a good interface has a great impact on the performance of knowledge management systems. </em></p></div>

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.

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.

Finite-Base Revision Supporting Knowledge Management and Decision Making

2011 ◽  
pp. 374-381
Author(s):  
Fátima C.C. Dargam
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Procedural Knowledge ◽  
Knowledge Bases ◽  
Effective Control ◽  
Complex Nature ◽  
Knowledge Maps ◽  
Knowledge Based ◽  
Km Strategy ◽  
Base Revision

Generation and most of all sustainability of organizational success rely heavily on proper decision making and on the application of knowledge management (KM) concepts, where knowledge-based structures are fundamental components. KM can also be viewed as a means to support enhanced decision making through effective control of organizational knowledge. One of the main goals of KM is to capture, codify, organize, and store relevant knowledge into repositories, knowledge bases (KB), for later retrieval and use by organizations. However, there is always the danger of accumulating knowledge in an increasingly vast way, such that it becomes impossible to process it when necessary. Therefore, appropriate technologies have to be identified to protect us from irrelevant information. As the study in Handzic (2004) shows, decision-makers need to pursue primarily one KM strategy in order to use knowledge effectively. Moreover, the codification KM strategy using procedural knowledge maps was proven to be quite appropriate for solving decision problems of a complex nature. It is commonly agreed that KM can bridge the existing information and communication gaps within organizations, consequently improving decision making (Dargam & Rollett, 2007).

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