Building Smart Knowledge Mapping Conceptual Model

2019 ◽  
Vol 18 (02) ◽  
pp. 1950021 ◽  
Author(s):  
Dana Indra Sensuse ◽  
Shidiq Al Hakim
Keyword(s):  
Knowledge Management ◽  
Conceptual Model ◽  
State Ownership ◽  
Human Interaction ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Knowledge Maps ◽  
Challenges And Opportunities ◽  
Use Of The Internet ◽  
Critical Components

Transformation in patterns of human interaction has shifted significantly in the use of the Internet, as these trends are rapidly evolving with the advent of online means for social interaction, such as social media, social networking, messaging, and so on. The transformation happens to give us challenges and opportunities to improve the quality of knowledge management undertaken by an organization. The most critical problem that in knowledge management issue is how to identify the state, ownership, and connectedness of critical knowledge in an organization visually. The studies to overcome these problems already done with a knowledge map approach, but in practice to do knowledge mapping is still done partially, either by the manual or automatic approach. Accordingly, this study aims to identify the critical components in building integrated knowledge maps from various electronic information sources that developed in the current Internet era. Through a literary study in an article that examines the map model of knowledge and by analysing smart terminology in several contexts from several kinds of literature. This study proposes a model of smart knowledge mapping conceptual model to be an initial model in developing a knowledge map that integrates various critical components.

Classifying Knowledge Maps

2011 ◽  
pp. 116-142 ◽  
Author(s):  
Martin J. Eppler
Keyword(s):  
Knowledge Management ◽  
Future Research ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Knowledge Maps ◽  
Useful Knowledge ◽  
Types Of Knowledge ◽  
Management Processes ◽  
Research Questions ◽  
Reference Knowledge

This chapter looks at graphic strategies to reference knowledge and to make it more accessible through interactive knowledge maps. It discusses pragmatic ways of classifying knowledge maps to give an overview of their application contexts and formats. In the chapter, we show where and how the term knowledge map has been previously used and which criteria must be met in a sound and useful knowledge map classification that can support knowledge management processes and strategies. Various classification principles are presented and discussed. A table then matches map formats to knowledge management purposes and knowledge-related contents in order to serve as a selection and organizing framework. Examples of some of the main types of knowledge maps are presented to illustrate the varieties of knowledge mapping present in the classification. The article concludes by discussing its limitations and future research questions in the area of knowledge mapping.

A Knowledge Management Portal System for Construction Projects Using Knowledge Map

2011 ◽  
pp. 299-322 ◽  
Author(s):  
H. Ping J. Tserng ◽  
Yu-Cheng (V.) Lin
Keyword(s):  
Knowledge Management ◽  
Construction Projects ◽  
Explicit Knowledge ◽  
Portal System ◽  
Knowledge Map ◽  
Knowledge Maps ◽  
General Contractors ◽  
Management Concept ◽  
Core Project ◽  
Map Search

Knowledge management (KM) has become an important term in the construction industry. Knowledge management involves creating, securing, capturing, coordinating, combining, retrieving, and distributing knowledge. Most know-what, know-how, and experience exists only in the minds of individual participants during the construction phase of construction projects. The knowledge can be reused and shared among the involved engineers and experts to improve the construction process and reduce the time and cost of solving problems. Sharing and reusing knowledge depends on acquiring and preserving of both tacit knowledge and explicit knowledge as the property of a corporation. This study addresses application of knowledge management in the construction phase of construction projects and proposes a construction activity-based knowledge management (ABKM) concept and system for general contractors. This chapter proposes a practical methodology to capture and represent construction project knowledge by using knowledge maps. Using knowledge maps, users can get an overview of available and missing knowledge in core project areas and take appropriate management in tacit and explicit knowledge. Also, a Web-based system is developed to assist and present project-related knowledge by providing keyword and map search on the Internet environment. The ABKM system is then applied in a case study of a construction precast building project in Taiwan to verify our proposed methodology and demonstrate the effectiveness of sharing knowledge special in the construction phase. By effectively using information and Web technologies during the construction phase of a project, knowledge can be captured and managed to benefit future projects. The combined results demonstrate that an ABKM-like system can be an effective tool for all experts and engineers participating in construction projects by utilising the knowledge management concept and Web technology.

A Knowledge Management Portal System for Construction Projects Using Knowledge Map

2011 ◽  
pp. 692-710
Author(s):  
H. Ping ("Jack") Tseng ◽  
Yu-Cheng ("Vincent") Lin
Keyword(s):  
Knowledge Management ◽  
Construction Projects ◽  
Explicit Knowledge ◽  
Portal System ◽  
Knowledge Map ◽  
Knowledge Maps ◽  
General Contractors ◽  
Management Concept ◽  
Core Project ◽  
Map Search

Knowledge management (KM) has become an important term in the construction industry. Knowledge management involves creating, securing, capturing, coordinating, combining, retrieving, and distributing knowledge. Most know-what, know-how, and experience exists only in the minds of individual participants during the construction phase of construction projects. The knowledge can be reused and shared among the involved engineers and experts to improve the construction process and reduce the time and cost of solving problems. Sharing and reusing knowledge depends on acquiring and preserving of both tacit knowledge and explicit knowledge as the property of a corporation. This study addresses application of knowledge management in the construction phase of construction projects and proposes a construction activity-based knowledge management (ABKM) concept and system for general contractors. This chapter proposes a practical methodology to capture and represent construction project knowledge by using knowledge maps. Using knowledge maps, users can get an overview of available and missing knowledge in core project areas and take appropriate management in tacit and explicit knowledge. Also, a Web-based system is developed to assist and present project-related knowledge by providing keyword and map search on the Internet environment. The ABKM system is then applied in a case study of a construction precast building project in Taiwan to verify our proposed methodology and demonstrate the effectiveness of sharing knowledge special in the construction phase. By effectively using information and Web technologies during the construction phase of a project, knowledge can be captured and managed to benefit future projects. The combined results demonstrate that an ABKM-like system can be an effective tool for all experts and engineers participating in construction projects by utilising the knowledge management concept and Web technology.

Knowledge Mapping

2011 ◽  
pp. 23-29 ◽  
Author(s):  
Jay Liebowitz
Keyword(s):  
Knowledge Management ◽  
Concept Mapping ◽  
Knowledge Mapping ◽  
Knowledge Maps ◽  
Comprehensive Knowledge ◽  
The Creation ◽  
Tools And Techniques ◽  
Use Of Knowledge

Knowledge management is one of the fastest emerging fields in industry today. Unfortunately, however, most of the knowledge management endeavors do not seem to have rigorous and comprehensive knowledge management methodologies, tools, and techniques. One technique that can greatly aid the knowledge management field can be borrowed from the concept mapping community, namely the use of knowledge maps. This chapter will discuss the role of knowledge mapping for improving knowledge management projects, and the specific use of a tool called WisdomBuilder to aid in the creation of the knowledge maps.

scholarly journals Open Knowledge Maps: Creating a Visual Interface to the World’s Scientific Knowledge Based on Natural Language Processing

2016 ◽  
Vol 4 (2) ◽  
pp. 98-103 ◽  
Author(s):  
Peter Kraker ◽  
Christopher Kittel ◽  
Asura Enkhbayar
Keyword(s):  
Open Source ◽  
Language Processing ◽  
Scientific Knowledge ◽  
Similarity Measures ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Knowledge Maps ◽  
Knowledge Based ◽  
Mapping Software ◽  
Visual Interface

The goal of Open Knowledge Maps is to create a visual interface to the world’s scientific knowledge. The base for this visual interface consists of so-called knowledge maps, which enable the exploration of existing knowledge and the discovery of new knowledge. Our open source knowledge mapping software applies a mixture of summarization techniques and similarity measures on article metadata, which are iteratively chained together. After processing, the representation is saved in a database for use in a web visualization. In the future, we want to create a space for collective knowledge mapping that brings together individuals and communities involved in exploration and discovery. We want to enable people to guide each other in their discovery by collaboratively annotating and modifying the automatically created maps.Das Ziel von Open Knowledge Map ist es, ein visuelles Interface zum wissenschaftlichen Wissen der Welt bereitzustellen. Die Basis für die dieses Interface sind sogenannte “knowledge maps”, zu deutsch Wissenslandkarten. Wissenslandkarten ermöglichen die Exploration bestehenden Wissens und die Entdeckung neuen Wissens. Unsere Open Source Software wendet für die Erstellung der Wissenslandkarten eine Reihe von Text Mining Verfahren iterativ auf die Metadaten wissenschaftlicher Artikel an. Die daraus resultierende Repräsentation wird in einer Datenbank für die Anzeige in einer Web-Visualisierung abgespeichert. In Zukunft wollen wir einen Raum für das kollektive Erstellen von Wissenslandkarten schaffen, der die Personen und Communities, welche sich mit der Exploration und Entdeckung wissenschaftlichen Wissens beschäftigen, zusammenbringt. Wir wollen es den NutzerInnen ermöglichen, einander in der Literatursuche durch kollaboratives Annotieren und Modifizieren von automatisch erstellten Wissenslandkarten zu unterstützen.

scholarly journals An evaluation of critical knowledge areas for managing the COVID-19 pandemic

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wala Abdalla ◽  
Suresh Renukappa ◽  
Subashini Suresh
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Methodological Approach ◽  
Decision Makers ◽  
Control Measures ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Great Opportunity ◽  
Content Type ◽  
Critical Knowledge

Purpose The ability to manage the COVID-19 pandemic is contingent upon the ability to effectively manage its heterogeneous knowledge resources. Knowledge mapping represents a great opportunity to create value by bringing stakeholders together, facilitating comprehensive collaboration and facilitating broader in-depth knowledge sharing and transfer. However, identifying and analysing critical knowledge areas is one of the most important steps when creating a knowledge map. Therefore, the purpose of this paper is to appraise the critical knowledge areas for managing COVID-19, and thereby enhance decision-making in tackling the consequences of the pandemic. Design/methodology/approach The methodological approach for this study is a critical literature review, covering publications on knowledge management, knowledge mapping and COVID-19. EBSCOhost, PubMed, Scopus, Science Direct, TRID, Web of Science and Wiley Online Library were searched for full text, peer-reviewed articles written in English that investigated on critical knowledge areas for managing the spread of COVID-19. After full screening, 21 articles met the criteria for inclusion and were analysed and reported. Findings The study revealed seven critical knowledge areas for managing the COVID-19 pandemic. These are cleaning and disinfection; training, education and communication; reporting guidance and updates; testing; infection control measures, personal protective equipment; and potential COVID-19 transmission in health and other care settings. The study developed a concept knowledge map illustrating areas of critical knowledge which decision-makers need to be aware of. Practical implications Providing decision-makers with access to key knowledge during the COVID-19 pandemic seems to be crucial for effective decision-making. This study has provided insights for the professionals and decision-makers identifying the critical knowledge areas for managing the COVID-19 pandemic. Social implications The study advances the literature on knowledge management and builds a theoretical link with the management of public health emergencies. Additionally, the findings support the theoretical position that knowledge maps facilitate decision-making and help users to identify critical knowledge areas easily and effectively. Originality/value This study fills gaps in the existing literature by providing an explicit representation of know-how for managing the COVID-19 pandemic. This paper uses an objective and qualitative approach by reviewing related publications, reports and guidelines in the analysis. The concept map illustrates the critical knowledge areas for managing the COVID-19 pandemic.

Data-Driven Methods to Create Knowledge Maps for Decision Making in Academic Contexts

2017 ◽  
Vol 16 (01) ◽  
pp. 1750008 ◽  
Author(s):  
Rizan Moradi ◽  
Khalil Taheri ◽  
Maryam S. Mirian
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Real Data ◽  
Research Management ◽  
Management Tool ◽  
Knowledge Map ◽  
Functional Evaluation ◽  
Knowledge Maps ◽  
The Real ◽  
Associate Dean

Knowledge is the primary asset of today’s organisations; thus, knowledge management has been focused on discovery, representation, modification, transformation, and creation of knowledge within an enterprise. A knowledge map is a knowledge management tool that makes organisational processes more visible, feasible, and practicable. It is a graphical representation of decision-related information. What happens, how various events can be managed, and why they happened: all can be demonstrated very precisely by a well-designed knowledge map. There are diverse knowledge-related roles; for example, each university dean’s office — as an instance of a knowledge-based organisation — usually relies upon their institutional memory to make daily decisions. However, utilising a knowledge map greatly facilitates any individual’s or group’s decision-making process, by proposing or establishing key required information. In this study, two important managerial roles — Associate Deans of Research and Education — were selected; then we reviewed their key managerial decisions and proposed three different techniques for supporting their decisions. The chief superiority of the approach offered here was in the creation of role-based knowledge maps, including an expertness map and a collaboration map for the Associate Dean of Research, which were formed using clustering, taxonomy formation, and information retrieval methods. A third map was created for the Associate Dean of Education, including a Bayesian reasoning map based on an Improved PC (IPC) algorithm, which learned the structure and the parameters of a Bayesian network to describe decision-making in the domain of education. To evaluate the proposed approaches, structural and functional evaluation measures and standard datasets (in the available cases) were chosen. The results found that the approaches were comparable to the selected benchmarks within the real data; even after considering the challenging nature of the real data, which included problems such as incomplete and unclean data extracted from the University of Tehran’s education and research management information systems.

A model of mobile technologies acceptance for knowledge transfer by employees

2017 ◽  
Vol 21 (5) ◽  
pp. 1053-1076 ◽  
Author(s):  
Michal Kuciapski
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Conceptual Model ◽  
Mobile Devices ◽  
Mobile Technologies ◽  
Intention To Use ◽  
Content Type ◽  
Model Based ◽  
New Variables ◽  
Practical Implications

Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.

scholarly journals Optimizing Knowledge Management using Knowledge Map

2012 ◽  
Vol 32 ◽  
pp. 1169-1177 ◽  
Author(s):  
J. Watthananon ◽  
A. Mingkhwan
Keyword(s):  
Knowledge Management ◽  
Knowledge Map
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