Enterprise Knowledge Management System Research Articles

Research on digital knowledge management model within enterprises

In the era of digital economy, the digital transformation of enterprise management mode has greatly promoted the efficiency of internal knowledge utilization and enterprise innovation process, while the construction mechanism of enterprise digital management still needs to be theoretically explored. This paper adopts literature research method to define the concept of knowledge digitization and discusses the motives and mechanisms of the operation mechanism of the internal knowledge digitization management mode of enterprises based on the perspective of the whole life cycle management of data. Digital technology is incorporated into the enterprise internal knowledge management system, and digital knowledge management organization makes the knowledge in the enterprise knowledge management system more interrelated and more intelligent and convenient in solving business. It promotes the in-depth and universal development of the theory of intra-enterprise knowledge management mode and provides practical reference for improving the level of enterprise knowledge management.

APPLICATION OF THE METHOT OF GRAY RELATION ANALYSIS FOR THE FORMATION OF COMPLEX ASSESSMENT AND DETERMINATION OF THE MATURITY OF THE ENTERPRISE KNOWLEDGE MANAGEMENT SYSTEM

The economic-mathematical model of formation of complex estimation and definition of level of risk of system of management of knowledge of the enterprise with use of the gray relational analysis and a method of the analysis of hierarchies is developed in work. An enterprise knowledge management system, an example of a “gray” system, is usually a variant of “black”, in which all criteria are fuzzy, and “white”, in any there is a complete set of data on criteria and constraints, are between them and is a system. with incomplete description. The proposed model consists of the following stages: problem statement; determination of criteria and indicators of knowledge management system; evaluation of indicators of the knowledge management system (in numerical form and in linguistic terms) and determination of their reference values; preliminary data processing (reduction of all indicators to one order); calculation of gray relational classes (determination of gray relational coefficients; determination of weight coefficients; determination of gray relational classes); construction of a matrix of estimates; formation of a comprehensive assessment of the knowledge management system of enterprises; determining the maturity of the enterprise for knowledge management; interpretation of the obtained results. Three general criteria and 43 indicators (in terms of quantitative and qualitative characteristics) were selected: People (11 indicators), Technology (9 indicators), Processes (23 indicators). Criterion Processes include blocks: Learning (2 indicators), Innovation (5 indicators), Innovation processes (7 indicators), Innovation cooperation (2 indicators), Core activity (7 indicators). The model consists of constituent elements (people, technologies, processes), levels (individual, group, organizational, inter-organizational), stages (phases) of knowledge management (Formation – accumulation, exchange – generation – storage and documentation – use – result of knowledge management) and allows the interaction of the level of maturity of the enterprise for knowledge management. The weights of the criteria and indicators of knowledge management of the enterprise analysis of the definition system occur using the method of hierarchy (pairwise comparison method). The practical implementation of the model was implemented for public utilities of Ukraine. The developed model is universal and can be used for enterprises of different spheres of activity to comprehensively assess the knowledge management system in comparison with the benchmark enterprise, determine the level of maturity of the enterprise with management and identify problems of effective management decisions to improve competitiveness.

KNOWLEDGE MANAGEMENT AS A TOOL TO INCREASE THE ECONOMIC EFFICIENCY OF ENTERPRISES

The knowledge management system has a significant impact on the indicators of economic efficiency and competitiveness of the enterprise. To make an effective informed management decision in the field of knowledge management, it is necessary to identify and build models of the relationship between the complex indicator of the knowledge management system and the selected indicator of economic efficiency of the enterprise. The article analyzes the efficiency of utilities in the period 2015-2020. It is established that one of the main indicators of economic efficiency of the surveyed enterprises is labor productivity per employee. Models of dependence of enterprise productivity on the complex indicator of the enterprise knowledge management system (exponential, linear, logarithmic, polynomial, degree dependence) are represented. For each enterprise the optimal dependence model is chosen considering the value of the reliability of the approximation. The selected models allow to determine the required value of the complex indicator of the knowledge management system of the enterprise to achieve the target value of the productivity indicator. The article proposes the following possible scenarios of knowledge management: scenario "People", scenario "Technology", scenario "Learning", scenario " Innovative activity ", scenario "Innovation processes", scenario "Innovation cooperation", scenario "Operational activity" and scenario "Complex". Each of the scenarios reflects the individual threshold value of the complex indicator of the enterprise knowledge management system and, accordingly, labor productivity for each surveyed enterprise, as well as the corresponding level of costs. Depending on the level of the target value of the indicator of economic efficiency of activity, enterprises can choose one of the proposed scenarios of knowledge management. Keywords: enterprise knowledge management, economic efficiency, labor productivity, economic-mathematical model, scenario.

Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence

ABSTRACT Enterprise knowledge management research is required to improve the enterprise content management system and knowledge management theory. A general model of knowledge integration is developed based on the concept of multi-view modelling, starting with the necessity for knowledge integration and application in the networked manufacturing process of complex products. This paper used social exchange theory to explain chain transmission’s online knowledge transfer process and analysed the related influencing factors. In addition, the key technologies that need to be solved to achieve knowledge integration, including the integration of distributed heterogeneous knowledge among enterprises, correlation integration, and integration of knowledge and manufacturing processes, were pointed out. The fuzzy theory was used to establish the knowledge extraction mechanism and reference model library from the project model to the dedicated reference model. Finally, we established a layered diffusion model that fits the characteristics of online knowledge transfer.

Aligning enterprise knowledge and knowledge management systems to improve efficiency and effectiveness performance: A three-dimensional Fuzzy-based decision support system

Abstract The purpose of this paper is to propose a three-dimensional fuzzy logic approach to evaluate the level of alignment between the knowledge an enterprise possesses and the knowledge management systems (KMSs) it adopts. The study also aims to propose the KMSs best suited to reducing misalignment and improving operational performance in terms of efficiency and effectiveness, analysing the level of alignment between an enterprise's knowledge and its KMSs from both the ontological and epistemological points of view. The authors have used the proposed methodology to develop a software-based Knowledge Management Decision Support System (KM-DSS), which was tested on a small and medium enterprise (SME) operating in the high-tech industry. The results highlight that the proposed DSS allows managers to evaluate knowledge management processes and identify which KMSs to adopt to improve alignment with the nature of the knowledge their enterprise possesses as well as to increase their level of efficiency and effectiveness.

Developing an ontology-based knowledge combination mechanism to customise complementary knowledge content

In rapidly changing business environments, enterprises are encountering increasingly complicated and multidimensional challenges related to R&D and manufacturing processes. To address these challenges, knowledge requesters working for these enterprises must effectively gain knowledge from enterprise knowledge bases, other enterprises or knowledge markets. However, knowledge requesters cannot obtain a desired and distinctive solution from a single knowledge source, including their own enterprise knowledge base. If knowledge can be customised by combining knowledge from various sources to create personalised complementary knowledge combinations that are more suited to their knowledge requirements, then knowledge acquisition and searches invariably become more efficient and accurate. Therefore, an ontology-based complementary knowledge combination mechanism, which can be employed to enhance online digitised knowledge recommendations or enterprise knowledge management systems, was developed in this study. First, a knowledge requirement model and a knowledge-product ontology model was constructed to describe and structure knowledge content, and then an ontology similarity calculation method was developed to enable precise comparisons of the requirements and knowledge structuralised by the knowledge requirement and product models. Finally, according to the four indicators of similarity, duplication, amount of knowledge and cost, a genetic algorithm (GA)-based knowledge-product ontology combination method was developed to identify optimal knowledge combinations and subsequently provide a reference for knowledge requesters.

Extended Access Control and Recommendation Methods for Enterprise Knowledge Management System

Knowledge Management (KM) is one of the hotspots for research in the past decade. In most cases, the number of users in a Knowledge Management System (KMS) is very large, and they are from varied departments, even other companies. In this paper, some defects when existing methods about access control and recommendation are deployed in KMS are analyzed to show that these widely-used approaches need to be extended. To overcome the deficiencies of previous work, this paper proposes an extended Role-Based Access Control (RBAC) method and a hybrid recommendation approach for Knowledge Management System. Also, a real-life system is presented to verify the proposed methodology.

E-KMS: A KM Tool for Educational ERP System

Enterprise Resource Planning (ERP) is widely adoptable technology by the organizations world-wide to grow their business. In the same manner the educational institutes and Universities are also implementing the ERP systems for their organizations to utilize their resources in the best way to achieve their goal and objective. In the history of the ERP systems, its implementation has higher failure rates than the implementation of any other application. Same rate of failures are also realized in the higher education institutes. ERP system was meant for manufacturing organization only but now it is adopted by all type of organizations, and higher education institutes are one of them. There are hundreds of educations ERP available in the market, but still there are higher failure rate and one can reduce this by integrating other technology like Knowledge management (KM) with it. In this article we are focusing a module of Enterprise Knowledge Management system through which knowledge of the faculty can be explored and their teaching can be improved which as a result can be helpful for the overall development of the students.

Requirements Elicitation and Planning of a Knowledge Portal: case Study of a Property Management Division in a Housing Organization

Enterprise knowledge portals offer, among other characteristics, a centralized access point for information as well as a wide range of tools and content for individual knowledge workers to personalize to suit their daily tasks. Such tasks often include the collection, aggregation, and analysis of data/information as well as collaborative work among workers to solve problems and make decisions. Leveraging on a quantitative–qualitative research approach including the use of a prior research instrument developed for the elicitation of requirements for collaboration tools, this paper seeks to identify the primary and secondary functions of a knowledge portal for knowledge workers in the property management division of a housing organization in Hong Kong. Although portals are often treated as a kind of stand‐alone enterprise knowledge management systems, proper planning and deployment of a portal with appropriate functionalities and a widely agreed content classification scheme can also help to enhance the navigation and presentation of knowledge assets in a knowledge‐leveraged organization. In particular, the introduction of a federated search engine can save considerable time in conducting (multiple) searches; selective Web 2.0 tools can help to foster collaborative work as well as help knowledge workers to reduce time spent on search but keep pace with nominated topics on a timely basis. Drawing on the existing literature as well as the authors' experience in working with many other organizations to deploy portals and relevant tools in the Asia Pacific, the initial recommendations are further consolidated to form a two‐phase deployment with the aim of enhancing the probability of success for the knowledge journey in the housing organization. Copyright © 2012 John Wiley & Sons, Ltd.

Study on the Framework of an Enterprise's Knowledge Management System Based on Social Network

Study on the Framework of an Enterprise's Knowledge Management System Based on Social Network

Research of Ontology-Based Coal Enterprise Knowledge Management Model System

To facilitate the share and reuse and effective retrieval of knowledge, an ontology-based knowledge system model was presented focusing on the coal enterprises application. Coal ontology was introduced to represent domain knowledge and solve semantic heterogeneity problems. These practices provide experience for further implementation of enterprise knowledge management system. The paper describes the structure of knowledge management system which has the competitive power in the market competition.

A distributed knowledge management infrastructure based on a Topic Map grid

Modern enterprise knowledge management systems typically require distributed approaches and the integration of numerous heterogeneous sources of information. A powerful foundation for these tasks can be Topic Maps, which not only provide a semantic net-like knowledge representation means and the possibility to use ontologies for modelling knowledge structures, but also offer concepts to link these knowledge structures with unstructured data stored in files, external documents etc. In this paper, we present the architecture and prototypical implementation of a Topic Map application infrastructure, the 'Topic Grid', which enables transparent, node-spanning access to different Topic Maps distributed in a network.

Commentary on Karl E. Weick's ‘The role of imagination in the organizing of knowledge’

Imagination is more important than knowledge. Knowledge is limited. Imagination encircles the world.Albert Einstein, as quoted in Calaprice (2000).Weick asserts that most organizations create obsta...

A Knowledge Component Analysis Model Based on Term Frequency and Correlation Analysis

Knowledge extraction, storage, management and reuse are the typical issues for an enterprise to maintain its competitiveness in the knowledge economy. Implicit knowledge of the domain experts is usually extracted and represented in the form of documents. The valuable knowledge lying in the documents should be explored and reconstructed by human beings through reading. Regarding the knowledge recognition issue, this paper proposes a model for document component analysis. In the proposed approach, two algorithms, namely frequency repository construction algorithm and document fragmentation algorithm, are developed. By construction of term frequency and correlation repositories, a comparison basis for document fragmentation is established. A web-based platform as well as a real case (i.e., analysis of intellectual property (IP) documents of automobile component designs) is provided to demonstrate the feasibility and performance of the proposed model. Concerning the importance of document contents and structure, the document fragmentation model can be applied in the enterprise knowledge management systems for efficient knowledge representation and acquisition.

Introduction: Justifying a Retrospective Approach

Today, with the digitisation of texts, sounds and images and their circulation on the Internet, we are deploying new techniques for storing knowledge which will increasingly supplement and even replace older memory recording systems, such as books, vinyl discs, and photographs on celluloid. It looks as if the extent of these changes will be far reaching. And if, as many believe, the practical methods of inscribing thought have an impact on the way it is developed through the writing and reading process, we can understand why the changes now taking place could profoundly affect our ways of thinking. Here we have gathered together specialists in ancient means of recording memory - clay tablets, papyrus rolls and manuscripts - along with experts from the electronic age - originators of man-machine interfaces, enterprise knowledge management systems, hypermedia and intelligent agents - with the purpose of elucidating the present by reference to intellectual technologies of the past.

Process‐oriented knowledge management systems based on KM‐services: the PROMOTE® approach

AbstractThis article describes the PROMOTE® approach, to define and implement a Service‐Based Enterprise Knowledge Management System (E‐KMS) that has been developed during the EC‐funded project PROMOTE (IST‐1999‐11658). The aim is to define a modelling language that is used to analyse, document and implement an E‐KMS on the basis of so‐called Knowledge Management Processes (KMPs). KMPs define the knowledge interaction between knowledge workers in a process‐oriented manner and consists of activities that are supported by knowledge management key actions (KA) like searching, categorising or storing information. These knowledge management key actions are supported by Knowledge Management Services (KM‐Service). The prototype of PROMOTE® is briefly mentioned to discuss the KMP‐models and the service based E‐KMS. Copyright © 2003 John Wiley & Sons, Ltd.

Information Resource Center Management (IRCM)

Cet article presente le nouveau role des centres de ressources d'information des entreprises : il participent activement dans la creation de systemes de gestion des connaissances dans les entreprises, ils entrent donc, comme l'entreprise, dans la concurrence. Apres une presentation de la situation actuelle des centres de ressources d'information, la place que ces centres prennent sur le marche du developpement electronique est dessinee. Et enfin, l'evolution de la gestion des connaissances est examinee