scholarly journals Organizacijų žinių vadybos sistemos: technologinis aspektas

2008 ◽  
Vol 44 ◽  
pp. 22-43 ◽  
Author(s):  
Juozas Mačiuitis ◽  
Audronė Ona Mikalauskienė ◽  
Laima Zalieckaitė
Keyword(s):  
Knowledge Management ◽  
Learning Organization ◽  
Content Management ◽  
Complex Problem ◽  
Organization Culture ◽  
Management Systems ◽  
Software Systems ◽  
Knowledge Management Systems ◽  
Management Tools ◽  
The Right

Žmogiškieji ištekliai yra daugelio organizacijų pagrindinis turtas. Darbuotojų žinios turi būti išsaugotos ir pereiti iš individualaus į organizacijos lygmenį, tuo užtikrinant organizacijos mokymosi procesą ir jos gerovės augimą. Žinių vadyba susideda iš įvairių komponentų ir aspektų, tokių kaip socialinis-kultūrinis, organizacinis ir technologinis. Šiame straipsnyje daugiau dėmesio skiriama technologiniam aspektui, apžvelgta programinė įranga, naudojama įvairiems žinių vadybos procesams palaikyti. Pateikti programinės įrangos pavyzdžiai pagal atliekamas pagrindines funkcijas, taip pat apžvelgtos kai kurios integruotos žinių vadybos sistemos.Knowledge management systems in organizations: technological aspectJuozas Mačiuitis, Audronė Ona Mikalauskienė, Laima Zalieckaitė SummaryKnowledge management is a hot topic in many business organizations. If properly applied, knowledge management may become a useful tool for business transformation and even the key to competitive advantage. Knowledge management is a very complex problem and can be tackled from several viewpoints: socio-organizational, financial and economical, technical, human, and legal. Knowledge management is essentially about facilitating the processes by which knowledge is created, shared and used in organisations. In this paper we address the technological aspect and survey available software systems that support different knowledge management activities. We categorize these tools into groups, based on their capabilities and functionality: document and content management tools, groupware and collaborative tools, taxonomy software, data mining and knowledge discovery tools, knowledge portals and networks, e-learning systems, intelectual property management tools, competence management tools, etc. We discussed samples of tools that represent what the market offers. We do not claim to cover the entire market, which is large, dynamic and expanding. Our research shows, that the most available tools are specialized, but some integrated suites exist too. To implement an efficient knowledge management system, organizations must identify their main problems, assign priorities, define strategy, and then select appropriate tools. Even though this paper focuses on tools, it is important to state that technology alone will never be the right solution to knowledge management. There are other components of knowledge management systems, and they are discussed in this paper. One popular and widely-used approach is to think of knowledge management in terms of three components: people, processes and technology. Another approach review the roles of knowledge management in learning organization from four perspectives: personal knowledge management, learning organization, organization culture, and organization corporate. Additionally, we present different ways of classifying knowledge management systems, and what requirements they must to meet.

Ontologies in Expertise Finding Systems

2013 ◽  
pp. 158-177 ◽  
Author(s):  
Maryam Fazel-Zarandi ◽  
Mark S. Fox ◽  
Eric Yu
Keyword(s):  
Knowledge Management ◽  
Requirements Engineering ◽  
Modeling Technique ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Organizational Settings ◽  
Potential Benefits ◽  
The Right ◽  
Expertise Finding ◽  
The Impact

Knowledge Management Systems that enhance and facilitate the process of finding the right expert in an organization have gained much attention in recent years. This chapter explores the potential benefits and challenges of using ontologies for improving existing systems. A modeling technique from requirements engineering is used to evaluate the proposed system and analyze the impact it would have on the goals of the stakeholders. Based on the analysis, an ontology-based expertise finding system is proposed. This chapter also discusses the organizational settings required for the successful deployment of the system in practice.

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.

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 and Trust in E-Networks

2011 ◽  
pp. 228-239 ◽  
Author(s):  
G. Scott Erickson ◽  
Helen N. Rothberg
Keyword(s):  
Knowledge Management ◽  
Information Systems ◽  
Complex Problem ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Knowledge Assets ◽  
Proprietary Information ◽  
Management Knowledge ◽  
Executives And Managers

This chapter focuses on trust issues relating to knowledge management. Knowledge management is increasingly reliant on information systems to identify, collect, and disperse information and knowledge. Moreover, such systems are stretching across the borders of the firm to include collaborators and their knowledge assets in e-networks. This scenario has important implications for trust between the organization and individuals who contribute to and/or use knowledge management systems. Organization-to-organization trust issues are also apparent as valuable, proprietary information and knowledge are shared across the borders of firms. The authors hope that with an increased awareness of the trust issues implicit in the burgeoning field of knowledge management, executives and managers will be better prepared to employ some of our suggestions for dealing with this complex problem.

scholarly journals Typical functionality, application and deployment specifics of knowledge management systems in IT companies

2020 ◽  
Vol 8 ◽  
pp. 45-54
Author(s):  
Volodymyr Sokol ◽  
◽  
Mariia Bilova ◽  
Oleksii Kosmachov ◽  
◽  
...  
Keyword(s):  
Knowledge Management ◽  
Software Development ◽  
Data Storage ◽  
Success Factors ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Software Projects ◽  
Management Tools ◽  
Storage And Retrieval ◽  
Emerging Issues

The work is focused on features of knowledge storage and its reuse in companies whose activities are related to software development. The concepts of knowledge, knowledge management and knowledge management systems from the standpoint of their usage in an IT company are given. It is determined that organizational knowledge is divided into explicit, which can be presented in the form of a letter, instructions, reference book, etc., and implicit, which exists only in an employee's mind directly and cannot be easily extracted. The main goal of knowledge management is formed, which is the organization of processes of creation, storage, acquisition, transfer and application of knowledge. The main strategies of knowledge are described, including the creation of knowledge, storage and retrieval of knowledge, transfer and exchange of knowledge, application of knowledge, examples of their use in software development. The characteristics of the knowledge management system is given as an information system that is designed to improve the efficiency of knowledge management of the organization. This system allows to solve problems related to the variety of software projects in which the IT company is involved. The main structural components and functions of knowledge management systems are identified, which include search tools, content and interaction management tools, data storage tools and mining tools, as well as group and artificial intelligence tools. The features of the usage and implementation of knowledge management systems at the work of small and medium-sized IT companies on the example of the Academy Smart Ltd are analyzed. The emerging issues of implementation of the system and success factors are considered. The features of the knowledge management process in Academy Smart Ltd is given, conclusions about efficiency of this organization are made, according to what the directions of the further researches are formed.

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.

Social Influence and Knowledge Management Systems Use: Evidence from Panel Data

MIS Quarterly ◽  
2013 ◽  
Vol 37 (1) ◽  
pp. 299-313 ◽  
Author(s):  
Yinglei Wang ◽  
◽  
Darren B. Meister ◽  
Peter H. Gray ◽  
◽  
...  
Keyword(s):  
Knowledge Management ◽  
Panel Data ◽  
Social Influence ◽  
Management Systems ◽  
Knowledge Management Systems

Utilizing a systematic literature review to develop an integrated framework for information and knowledge management systems

2017 ◽  
Vol 47 (2) ◽  
pp. 250-264 ◽  
Author(s):  
Chulatep Senivongse ◽  
Alex Bennet ◽  
Stefania Mariano
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Value Added ◽  
Specific Area ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Content Type ◽  
Integrated Framework ◽  
Information And Knowledge Management

Purpose The purpose of this paper is to demonstrate the value of using a systematic literature review to develop an integrated framework for information and knowledge management systems. Design/methodology/approach First, the systematic literature review method is introduced, differentiating it from traditional literature reviews in terms of value-added and limitations. Second, this methodology is used in a research application focused on absorptive capacity internal capabilities with regard to the processes of acquisition, assimilation, transformation and exploitation. Third, an integrated framework for information and knowledge management systems is developed from this application. Findings The systematic literature review approach provides a rigor that can assist in reducing researcher bias while simultaneously enabling the definition of a precise scope of review, with a clear explanation of selection criteria with the objective to find and review all the studies that are relevant to the search definitions. As a research method, it effectively supports a qualitative, quantitative or mixed methodology. Research limitations/implications This methodology was applied to one specific area of research. Specific limitations include the availability of articles in subscribed databases and the analytical capabilities of the tools used for text mining and analytics. Originality/value This paper demonstrates the usefulness of the systematic literature review methodology in developing an integrated framework for analysis.

Use of Knowledge Management Systems and the Impact on the Acquisition of Explicit Knowledge

2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton
Keyword(s):  
Knowledge Management ◽  
Problem Solving ◽  
Knowledge Acquisition ◽  
Reference Materials ◽  
Explicit Knowledge ◽  
Experimental Methodology ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Use Of Knowledge ◽  
The Impact

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.

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