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 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.

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. 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.

scholarly journals Strategic flexibilities: valuation of a company with the application of the Real Options Theory

2019 ◽  
Vol 16 (4) ◽  
pp. 650-658 ◽  
Author(s):  
Izabelle Martinez Martinez ◽  
Gislaine Cristina Batistela ◽  
Danilo Simões
Keyword(s):  
Decision Making ◽  
Real Options ◽  
Investment Project ◽  
Real Data ◽  
Added Value ◽  
Binomial Model ◽  
Real Options Theory ◽  
The Real ◽  
Secondary Sector ◽  
A Company

Goal: In this paper, a binomial model is proposed to evaluate the option of deferring an investment and expanding the operational scale of a forest-based company that will perform the de-duplication of Pinus sp. and will market packaging for storage and transportation of vegetables. Design/Methodology/Approach: The proposed model measured the options of deferring an investment and expanding the operational scale of the forest-based company. In this perspective, the model of evaluation used was the binomial model in discrete time using the Real Options. Results: It was observed that the inclusion of management flexibilities in the decision making process has added value to the investment project; therefore, the project of investments in real assets proved to be economically feasible. Limitations of the investigation: The studies that address the corporate finance framework based on real data are a restrictive factor, due to the lack of collaboration of companies, that is, the availability of information that is usually classified. Practical implications: The study was based on the real data of a company; therefore, it can be adopted as a stimulus to the Real Options approach to the decision making of entrepreneurs or researchers. Originality/value: The focus of the study was to contemplate the managerial flexibilities of an industry of the secondary sector of the Brazilian economy, which performs the unfolding of wood, demonstrating the innovation of the technique approach used in this market segment.

scholarly journals An innovative picture fuzzy distance measure and novel multi-attribute decision-making method

2021 ◽  
Author(s):  
Abdul Haseeb Ganie ◽  
Surender Singh
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Distance Measure ◽  
Real Data ◽  
Distance Measures ◽  
Classification Problems ◽  
Data Set ◽  
The Real ◽  
Picture Fuzzy Set ◽  
Multi Attribute Decision Making

AbstractPicture fuzzy set (PFS) is a direct generalization of the fuzzy sets (FSs) and intuitionistic fuzzy sets (IFSs). The concept of PFS is suitable to model the situations that involve more answers of the type yes, no, abstain, and refuse. In this study, we introduce a novel picture fuzzy (PF) distance measure on the basis of direct operation on the functions of membership, non-membership, neutrality, refusal, and the upper bound of the function of membership of two PFSs. We contrast the proposed PF distance measure with the existing PF distance measures and discuss the advantages in the pattern classification problems. The application of fuzzy and non-standard fuzzy models in the real data is very challenging as real data is always found in crisp form. Here, we also derive some conversion formulae to apply proposed method in the real data set. Moreover, we introduce a new multi-attribute decision-making (MADM) method using the proposed PF distance measure. In addition, we justify necessity of the newly proposed MADM method using appropriate counterintuitive examples. Finally, we contrast the performance of the proposed MADM method with the classical MADM methods in the PF environment.

scholarly journals Software Processes Analysis with Provenance

2018 ◽  
Author(s):  
Gabriella C. B. Costa ◽  
Humberto L. O. Dalpra ◽  
Eldânae N. Teixeira ◽  
Cláudia M. L. Werner ◽  
Regina M. M. Braga ◽  
...  
Keyword(s):  
Decision Making ◽  
Process Management ◽  
Process Analysis ◽  
Real Data ◽  
Management Tool ◽  
Process Data ◽  
Novel Approach ◽  
Provenance Data ◽  
Data Capturing ◽  
Storage Technologies

Companies have been increasing the amount of data that they collect from their systems and processes, considering the decrease in the cost of memory and storage technologies in recent years. The emergence of technologies such as Big Data, Cloud Computing, E-Science, and the growing complexity of information systems made evident that traceability and provenance are promising approaches. Provenance has been successfully used in complex domains, like health sciences, chemical industries, and scientific computing, considering that these areas require a comprehensive semantic traceability mechanism. Based on these, we investigate the use of provenance in the context of Software Process (SP) and introduce a novel approach based on provenance concepts to model and represent SP data. It addresses SP provenance data capturing, storing, new information inferencing and visualization. The main contribution of our approach is PROV-SwProcess, a provenance model to deal with the specificities of SP and its ability in supporting process managers to deal with vast amounts of execution data during the process analysis and data-driven decision-making. A set of analysis possibilities were derived from this model, using SP goals and questions. A case study was conducted in collaboration with a software development company to instantiate the PROV-SwProcess model (using the proposed approach) with real-word process data. This study showed that 87.5% of the analysis possibilities using real data was correct and can assist in decision-making, while 62.5% of them are not possible to be performed by the process manager using his currently dashboard or process management tool.

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.

scholarly journals Gestión de conocimiento desde el aprendizaje basado en realidades apoyado en la simulación: Casos de Aplicación / Knowledge Management from Realities Based Learning Supported by Simulation: Application Cases

2016 ◽  
Vol 3 (1) ◽  
pp. 55-72
Author(s):  
Milton César García Castiblanco
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Systems Engineering ◽  
The Real ◽  
First Semester ◽  
Actual Use ◽  
Toma De Decisiones ◽  
The Subject ◽  
The Moment ◽  
Support Decision Making

ABSTRACTThis report is part of the experience as a teacher for five years, the subject of simulation programs Systems Engineering. The simulation is to build computer models that describe the essential part of the behavior of a system of interest. As well as designing and conducting experiments with such models in order to draw conclusions from their results to support decision-making. A typical question of students to the knowledge received from many of the issues during his career is: What is the actual use can give this issue? In the case of simulation this situation is more complex because the basics needed to make the most of this course are acquired in the first semester, in different subjects and not generally work transversely. In my experience I have found that the best way with which the student can understand the use that can give you the knowledge acquired is to face real situations, not just cases of typical study such as business, but situations that happen in your environment real, at the moment of learning. This document will not only reference to based on realities but also to the real problems which have achieved together with my students apply the knowledge acquired learning.RESUMENEste informe hace parte de las experiencias como docente durante cinco años, de la asignatura de simulación en programas de Ingeniería de Sistemas. La simulación consiste en construir modelos informáticos que describen la parte esencial del comportamiento de un sistema de interés. Así como en diseñar y realizar experimentos con tales modelos con el fin de extraer conclusiones de sus resultados para apoyar la toma de decisiones. Una pregunta típica de los estudiantes ante el conocimiento recibido de los temas durante su carrera es: ¿Cuál es el uso real que puedo darle? Para la simulación esta situación es más compleja dado que los conceptos básicos necesarios para esta asignatura son adquiridos en los primeros semestres, en asignaturas diferentes y que no se trabajan transversalmente. En mi experiencia he encontrado que la mejor forma para que el estudiante entienda el uso que le puede dar a su conocimiento, es enfrentarse a situaciones reales, no solo a casos de estudio típico, sino a situaciones que suceden en su entorno real, en el momento actual de su aprendizaje. Este documento no solo hará referencia al aprendizaje basado en realidades sino también a los problemas reales trabajados con mis estudiantes aplicando el conocimiento adquirido. Contacto principal: [email protected]

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).

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.

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