Knowledge Management Model Research Articles

Knowledge management of product design: A requirements-oriented knowledge management framework based on Kansei engineering and knowledge map

For the knowledge management of product design, knowledge innovation is the foundation and motivation for the independent innovation and enhancing the core competitiveness. Most of the product knowledge exists in the brain of designers. How to obtain the required knowledge accurately in massive knowledge database becomes the key to knowledge innovation. However, the design knowledge based on consumer’s requirement has not been extensively studied. There is no consensus on the reasonable and effective implementation of the knowledge management framework to select the optimum design knowledge based on the consumer’s requirements. In this study, to efficiently realize the knowledge acquisition and knowledge selection, a requirements-oriented knowledge management model is established, with the advantage of Kansei engineering in knowledge acquisition and multi-objective decision-making in knowledge selection. Finally, the outdoor leisure chairs design is used as a case study to explain the implementation of the knowledge management framework. To reveal the advantages of the framework, it was compared with other frameworks. The results show that the proposed knowledge management framework is more efficient and provided a method of designers to acquire design knowledge based on the consumer’s requirements.

Knowledge is power: toward a combined model of knowledge acquisition and knowledge application of enterprises

PurposeThis paper aims to theoretically investigate a knowledge management model from the combined perspective of knowledge acquisition and knowledge application and its effect on organizational performance.Design/methodology/approachThis study reviews prior research on knowledge acquisition and knowledge application, puts forward the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application” and more importantly proposes an integrated model by combining these two dimensions. Four case examples of enterprises are subsequently described and analyzed to illustrate the sources of knowledge acquisition, the objects of knowledge application and their influences on organizational performance.FindingsFour knowledge management modes and their impacts are confirmed in this study. Specifically, the organization of the turbojet engine mode (high extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve good performance. The pipeline mode (high extensiveness of knowledge acquisition and low concentration of knowledge application) is the second, which has limited influence on good organizational performance. Organizations with the flashlight mode (low extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve limited performance under the appropriate environment. The candle mode (low extensiveness of knowledge acquisition and low concentration of knowledge application) is the worst, performance of which is poor due to the break of the knowledge chain.Practical implicationsThis paper holds that organizations should actively use the turbojet engine mode, adopt the pipeline mode and the flashlight mode cautiously, and avoid falling into the candle mode.Originality/valueTo the best of the authors’ knowledge, this study is among the first to propose the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application,” and provides a combined model for analyzing differences in organizational performance from the perspective of knowledge.

Sustainable knowledge management in academia and research organizations in the innovation context

This work proposes a conceptual knowledge management model specific for the academics researchers and business stakeholders working in the innovation context, through a bibliographic revision from the business domain and reoriented to the innovation context.This revision arise from the need of them to adapt to the fast knowledge growth and changes at the backwards of 4.0 industry. This fast growth demands them finding the synergies of diverse domain of knowledges to ensure a sustainable and efficient management of knowledge, resources, and relate dynamics of stakeholders, fostering the promotion of Research and Development (R&D) projects. This approach will help the improvement in responsible management education (RME) as a result of the collaborative work.The overall work also defines the steps for research knowledge audit and its combination with key performance indicators that differs human, organizational, and relational and innovation and development capitals. Functional maps, topic and taxonomy maps and social network analysis are proposed as tools. This guide will help the academia and research community to address stakeholder heterogeneity and find a starting point for implementing a sustainable long-term plan, under sustainable concepts. At the end this will also being translated to education for sustainable development (ESD) promoted by academics.

Knowledge Management Model for Smart Campus in Indonesia

The application of smart campuses (SC), especially at higher education institutions (HEI) in Indonesia, is very diverse, and does not yet have standards. As a result, SC practice is spread across various areas in an unstructured and uneven manner. KM is one of the critical components of SC. However, the use of KM to support SC is less clearly discussed. Most implementations and assumptions still consider the latest IT application as the SC component. As such, this study aims to identify the components of the KM model for SC. This study used a systematic literature review (SLR) technique with PRISMA procedures, an analytical hierarchy process, and expert interviews. SLR is used to identify the components of the conceptual model, and AHP is used for model priority component analysis. Interviews were used for validation and model development. The results show that KM, IoT, and big data have the highest trends. Governance, people, and smart education have the highest trends. IT is the highest priority component. The KM model for SC has five main layers grouped in phases of the system cycle. This cycle describes the organization’s intellectual ability to adapt in achieving SC indicators. The knowledge cycle at HEIs focuses on education, research, and community service.

The Effectiveness of The Knowledge Management Model for Private Universities’ Identity Branding

This study aims to create a knowledge management model in private universities and make the model a means for branding. In this study, researchers used meta-analysis and systematic secondary data search. As much as 40 private university leaders at Wet Java have been selected using purposive method as the research analysis unit. The data is collected using questionnaire and then analyzed using meta analysis  method  The results of the study found three models of knowledge management which were then used as a reference for making models by the author. The author's management model will be used as a means to generate competitive advantage which then becomes a medium for branding the institution's brand. Branding that is successful in increasing the name of the institution can eventually become brand equity which will ultimately generate economic benefits for the institution concerned.

Modeling of legal knowledge management system based on ontology

The work presents an analysis of the possibilities of applying it systems modeling methodologies in the management of legal knowledge. Legal knowledge is a specific type of knowledge that is characterized by a unique dynamic, which is law. The constant volatility of legal regulations means that in some areas, e.g. accounting, it can cause unnecessary errors in the books, as well as cause costs in the form of penalties. The area of application of ICT tools in supporting the management of legal knowledge in Poland has not yet been examined, which allows us to conclude that this article goes in the direction of filling gaps. The research method used is an experiment consisting in creating a model of legal knowledge management using ontology. The experiment used the classic approach to creating IT solutions based on UML notation.

Presentation of Knowledge Management Model in Farhangian University (Infrastructures, Processes and Improvement of Business Processes)

Presentation of Knowledge Management Model in Farhangian University (Infrastructures, Processes and Improvement of Business Processes)

Knowledge Management Model for Construction Design Consulting Companies

An optimum design is critical for improving a construction project efficiency in its implementation phase. However, it is observed in Vietnam that in many construction projects, the design optimization process has not attracted reasonable attention; this process is often carried out in a perfunctory manner without a systematic approach, then the projects’ designs are often not optimized, leading to a reduction in their performance efficiency. This study presents a knowledge-based approach with knowledge management model developed to aid in the management of a construction project's design process, based on the intelligent use of accessible corporate data and experience knowledge. Semi-structured interviews were conducted in three construction consulting companies with the goal of learning how the selected design solution process was executed in practice and gaining necessary knowledge for system identification and design of the suggested model. A Construction Design Knowledge Model was created, operated, and validated with consultancy construction experts. The developed Construction Design Knowledge Model was deemed an advanced tool for building design selection as a result of its ability to assist consulting firms in creating corporate information, making decision-making in a less subjective manner, and lowering reliance on personal knowledge. The system's indicated advantages helped to increase construction design performance.

Digital Resources Integration and Performance Evaluation Under the Knowledge Management Model in Academic Libraries

Abstract Leveraging a knowledge management model (KMM), organizing digital resources, and measuring performance beyond digital libraries continue to be hot topics for many organizations. Given its growing importance, the aim of this study was to design a robust integrated research model based on social cognitive theory and KMM to organize resources and improve the productivity of academic librarians to make services effective. Using a quantitative method based on key data collected by librarians at Pakistani universities, the researchers reviewed previously published literature and sought expert opinions to develop a research tool. The authors distributed 350 printed questionnaires to professionals from 190 universities, of which 339 were returned. These were analyzed to test the hypotheses and assess the accuracy of the measurement and structural models. After undergoing rigorous statistical analysis, the seven constructs using Social Cognitive Theory and the Knowledge Management Model have proven to be suitable for digital asset integration, employee productivity measurement, and high-quality academic services. In addition, the model based on social cognitive theory supports the application of KMM to promote knowledge culture, resource organization, and successful integration and innovation of academic services by enhancing the technical and professional skills of staff in academic institutions.

Development of an integrated knowledge management and quality management model for small and medium sized companies in Trinidad and Tobago

There appears to exist limited research regarding the integration of Knowledge Management (KM) and International Organization for Standardization (ISO)’s ISO9001 Quality Management Systems (QMS) for Small and Medium Sized Enterprises (SMEs), for Trinidad and Tobago (TT) and the Caribbean Region. TT has over 16,000 SMEs and approximately 10,000 micro enterprises, representing over 70% of all registered businesses, that employs over 50% of the workforce. SMEs spark competition, create jobs, as well as promote innovation and knowledge transfer, thus are the engine of economic growth. SMEs in TT need to develop KM practices to compete regionally and globally, especially with the advent of the COVID-19 pandemic, which has triggered the deepest economic recession worldwide. Existing integrated KM models in other jurisdictions cannot be adopted in TT as KM is a culturally sensitive platform that needs to be customized to its applied environment. Results of a survey identified the Critical Success Factors (CSFs) for both Quality Management (QM) and KM required for the successful implementation of a Knowledge Management System (KMS). Data obtained showed that although the SMEs in TT demonstrated insignificant KM maturity, there is KM readiness, due to the existence of QMSs, significant information systems, human resource support, technical infrastructure, and senior management commitment. A five phase KM/QM integration model for SMEs in TT is proposed. Managers of SMEs and other similar operations may apply the findings of this study to develop strategies to integrate QM and KM to improve business results.

Knowledge management model for the systematization of significant experiencesin high school mathematic

La globalización y la pandemia generada por el Covid 19, las tecnologías de la información y comunicación juegan un rol importante en la sociedad para elevar la calidad de la educación, por ello el presente artículo tiene como objetivo divulgar los resultados de la investigación orientada a generar un modelo teórico - práctico de gestión del conocimiento para la sistematización de experiencias significativas en matemáticas de básica secundaria en las instituciones educativas públicas del municipio de Ciénaga, departamento del Magdalena, Colombia, se fundamentó con los aportes teóricos de Bornachera (2019), Ministerio de Educación Nacional [MEN], (2019), Calle (2020), Rodríguez y Gairin (2015), Majad (2016), Nonaka y Takeuchi (1995), entre otros. La metodología fue cuantitativa, el tipo de investigación proyectiva, con diseño de campo, no experimental, transeccional. La población se constituyó por 410 docentes, la muestra fue de 52 sujetos y el muestreo fue probabilístico, el instrumento para recolectar los datos fue un cuestionario con escala tipo Likert de 63 ítems y cinco alternativas de respuesta, sometido a validez y confiabilidad para su aplicación, los datos se procesaron con la estadística descriptiva e inferencial. Al aplicar la prueba de normalidad se Rechazó Ho (No es Normal) al no cumplir la prueba de normalidad y la de homogeneidad, se utilizó la prueba no paramétrica H de Kruskal-Wallis. El resultado obtenido indica una media de 3,37 en la variable gestión del conocimiento y en sistematización de experiencias significativas en matemáticas se tiene una media de 3,34 ubicadas en moderada presencia, se concluyó que los docentes a veces utilizan la gestión del conocimiento para las sistematización de experiencias significativas en matemática, por lo que se elaboró un modelo teórico - práctico de gestión del conocimiento para la sistematización de experiencias significativas en matemáticas de básica secundaria, se recomienda su aplicación.

A memory-based structural model for knowledge management and transfer

ABSTRACT In this paper, we aimed to develop a system for knowledge management mimicking the memory in the human brain. This system was used to create a multilingual guide for patients suffering from disorders of the spine. We viewed the transfer of knowledge as the transmission of a chain of small, interchangeable, semantic units. We defined the smallest amount of information that can be accurately communicated as a Knowledge Transfer Unit (KTU). Combining these KTUs in different sequences allowed us to create text chapters on more than 70 diseases. Through using KTUs, we reduced the number of characters by 72%, from 528,821 in the final output files to only 147,451 in our text database. In this paper, we present a new tool for knowledge management and transfer mimicking the process of integration of information and information recall within the human memory.

Public management in the education sphere: Prospects for realizing human capital in the development of knowledge management technologies

The study aims to form and test a knowledge management model for universities, which made it possible to identify the most influential factors and their relationship with knowledge management processes. The sample of the study (N = 100) included members of the administrations of the United Arab Emirates universities, senior students (graduate students) and teachers. The data were collected based on a Google Forms questionnaire (65 questions). The model includes 6 main factors: leadership, organizational culture, organizational structure, human resources, information technology, measurement and control. It is assumed that the favourable influence of these factors will contribute to the effective implementation of the knowledge management process. Statistical analysis of the collected data was performed in SPSS and EViews. The model was verified with the help of the root-mean-square error of approximation. The factors "organizational culture", "human resources", "organizational structure", as the processes of creation, storage and use of information demonstrate the highest degree of compliance (value is 0.5 and below). Internal consistency was checked by calculating Cronbach's alpha (total Cronbach alpha is 0.97). To assess the existing relationships between the processes and factors of knowledge management, an analysis of Spearman's ρ correlation was performed (confidence level is 99%). The findings of the study show that the factor "organizational culture" has the greatest impact on the process of creating knowledge, and the factor of the organizational structure considerably affects knowledge management. It has been concluded that information technology is the least influential factor in the knowledge management process. The model demonstrates that the greatest influence of the “leadership” factor can be observed in the context of the process of applying knowledge. The validity of the model makes it possible to argue that it can be used as a public policy tool for the implementation of knowledge management initiatives in universities. The practical significance of the research lies in the fact that on the basis of the model described in the study, it is possible to perform a preliminary assessment of the knowledge assets of universities in order to improve the process of knowledge transfer in education and research. The model will provide university administrations with an opportunity to identify areas for improvement in order for the knowledge management process to be more effective, which ultimately should result in the creation of human capital that meets modern needs.

KNOWLEDGE MANAGEMENT AT PROJECT-ORIENTED ENTERPRISES

The analysis of the peculiarities of knowledge management of operational and project activities at the project-oriented enterprise is carried out in the work. The conceptual model of knowledge management of the project-oriented enterprise for achievement of optimum economic indicators of the enterprise activity is developed. For operational activities, the constituent elements of knowledge management are people (employees), technology and processes. For project activities, these are project knowledge management, knowledge management between projects and knowledge management about project management. Project knowledge management involves people (project team), technology and processes. Knowledge management between projects includes technologies that allow the dissemination of knowledge between the projects of the enterprise that are being implemented. Project management knowledge includes integration, content, timing, cost, quality, resources, communications, risk, procurement, and project stakeholder management. Operational knowledge management is carried out at the following levels: individual (employee level), group (department level), organizational (enterprise level) and inter-organizational. Knowledge management of project activities is carried out at the following levels: individual (project team member level), group (project team level), organizational (implemented project), global. Stages (phases) of knowledge management are formation → accumulation, acquisition → generation → exchange → storage and documentation → use → knowledge management result. As a result of knowledge management of operational and project activities, taking into account the constituent elements, levels, stages (phases), we can form a generalized indicator. For operational activities, this is the level of maturity of knowledge management enterprises, for project activities, this is the level of maturity of the project management enterprise (in the context of knowledge management of project activities). Keywords: knowledge management, project-oriented enterprise, conceptual model.

Does employee readiness to change impact organization change implementation? Empirical evidence from emerging economy

PurposeThis study aims to gain insight into factors that impact employee readiness to change and organizational change management. Therefore, an integrative research model is developed with the combination of perceived competence, perceived relatedness, perceived autonomy, codification strategy and personalization strategy to investigate employee readiness to change. The research model tests the mediating role of employee readiness to change between factors underpinned self-determination theory, knowledge management strategy and organizational change management. In addition to the moderating role of self-efficacy is examined between the relationship of employee readiness to change and organizational change implementation.Design/methodology/approachThis research is conducted under a positive paradigm, and therefore, a quantitative research approach is incorporated to design a research strategy. The research model is empirically tested with a sample size of 361 employees working in commercial banks of Pakistan. For data analysis, the structural equation modelling approach is applied.FindingsEmpirical findings indicate that altogether perceived competence, perceived autonomy, perceived relatedness, codification and personalization strategies had explained 76.8% variance in employee readiness to change. The effect size analysis shows that codification strategy has the largest impact in determining employee readiness to change. Therefore, the relatedness of employee tasks stands at the second stage in determining employee readiness to change. The predictive relevance of the research model is computed through blindfolding procedure and revealed substantial predictive relevance in measuring employee readiness to change. The findings of the research confirmed that the relationship between employee readiness to change and organizational change implementation will be stronger when self-efficacy is higher.Practical implicationsThe current research has several contributions to theory and practice. Theoretically, this research extends the self-determination theory with knowledge management strategy and enriches literature in employee readiness to change and organizational change management context. Practically, this research suggests that policymakers should focus on factors underpinned by self-determination theory and knowledge management model to develop a positive attitude among employees towards readiness to change. Similarly, self-efficacy is another important factor that moderates the relationship between readiness to change and change implementation and should be considered for managerial implication.Originality/valueThis research is significant as it integrates two unique models, namely, the self-determination framework and the knowledge management model to investigate employee readiness to change. In addition to that, the research model is extended with the moderating effect of self-efficacy between the relationship of employee readiness to change and organizational change implementation.

The innovation ecosystem in rural tourism and hospitality – a systematic review of innovation in rural tourism

PurposeInnovation in rural tourism and hospitality (RT) is a complex process that involves the exchange of knowledge and resources between many actors and the interrelationships between those actors in the business environment. The purpose of this paper is to provide structure to this “knowledge and resource ecosystem” through a thorough systematic review of the extant literature.Design/methodology/approachThe current study uses a time-tested and reproducible systematic literature review process to identify and analyse 79 research papers that have discussed innovation in RT.FindingsThrough content analyses, this review identifies critical stakeholders in the innovation ecosystem, as well as the enabling and hindering roles these stakeholders play in innovation. The thematic analysis uncovers three key research foci: stakeholders and their roles, outcomes of innovation and business model innovation. The review also identifies types of innovation and critically analyses the bibliographical research profile. The authors summarise the findings in an RT innovation ecosystem model, which includes the various actors and their knowledge and resource sharing roles within the business environment.Originality/valueThis is one of the first systematic reviews to concentrate on RT innovation and, within that focus, on knowledge and resource networks in particular rather than on innovation in tourism in general, which was the focus of prior reviews. The authors encourage cross-pollination of ideas by introducing theories from the strategic management, innovation, knowledge management and business model innovation literature wherever appropriate. To consolidate and present the findings on the innovation process’s antecedents and outcomes, the authors present an ecosystem of innovation within the RT framework.

Creation of a knowledge management model based on CBR

This paper proposes a solution to facilitate maintenance activities associated with stand-alone solar photovoltaic installations in our developing countries. The autonomous photovoltaic solar installation is not connected to the electricity distribution grid. It meets the electricity needs on the one hand, of those who are too far away and who do not have access to the distribution grid. On the other hand, those who wish to overcome the constraints of connection to the electrical distribution grid. Our work focuses on the capitalization of knowledge in maintenance activity. The goal is to propose a model capable of helping maintenance technicians during their interventions by providing them with knowledge elements that will be drawn from a knowledge base. This knowledge base is built from the knowledge collected during previous maintenance activities in a given solar photovoltaic installation.

Interfaces between entrepreneurial and innovative strategies and knowledge management

This research aimed at mapping the international production over the interface between entrepreneurial and innovative strategies and knowledge management in the ISI Web of Science database with a 20-year temporal cut by highlighting the theoretical and methodological aspects to be explored. It is a bibliometric study in which the data were collected from the Web of Science database and processed through the HistCiteTM bibliometric analysis and visualization software. Through the research it was possible to identify the distribution of publications by year, the journals with the most articles published on the subject, the main authors, the country of origin of the publications, the principal journals, the theoretical gaps on the interface between the themes researched and the main methodological approaches. As a managerial contribution, this research shows the comprehension that the entrepreneurial and innovative strategies and KM must be linked to the business strategies, whereas the business strategy design needs, above all, to take the shape of a learning process overtime, which can be enabled through the organizational Knowledge Management model. Through this research, it was also possible to identify emerging themes on the interface between entrepreneurial, innovative strategies and knowledge management.

Creative Cities and Knowledge Management Approach to Culture-Based Urban Regeneration in Slovakia: A Model

The term "Creative City" emerged in the 90s of the 20th century reflecting the trend of transforming post-industrial cities into new creative urban centres - bases for knowledge intensive firms, highly-skilled workers and major cultural assets. The concept of culture-based urban regeneration describes a scheme where culture is purposely employed as a vehicle for an overall urban and social revitalization. The paper addresses innovative processes within culture-based urban regeneration projects in three Slovak cities - Bratislava, Zilina and Kosice - under the concept of creative city. The focus is on the implementation of a tailor-made multi-factor knowledge management model with the aim of exploring the knowledge management practices in urban development projects dealing with the adaptive re-use of industrial and cultural heritage based on the non-profit bottom-up initiatives.

Knowledge management model for decision-making through ontologies for an employment and employability observatory

Introduction: This article is the product of the research "Knowledge management model for decision-making through ontologies for an employment and employability observatory" developed within the ComplexUD Research Group in the Universidad Distrital Francisco José de Caldas between 2018 and 2020.
 Objective: The objective of this research is the construction of a knowledge management model using ontologies of the actors involved in the employability process.
 Methodology: The construction of knowledge was carried out through the creation of ontologies, which describe the conceptual components of each actor that participates in employability, since their interaction forms the proposed model.
 Conclusion: It is observed that representing the actors through ontologies allows the behavior among them to be modeled in a way that is very close to reality, however, it must be taken into account that the components that describe the actors can change over time, for what is necessary a periodic update of the model.
 Originality: This document proposes original ideas regarding the definition and behavior of the actors identified in the development of the research, if the work of other authors is mentioned throughout the article, it is cited according to the norms established by its publication.