Knowledge Management Model Research Articles

Organizational Culture and Knowledge Management in a Basic Education Educational Institution

There is a broad consensus that knowledge management represents an asset that can be used by different organizations as long as it is incorporated within the framework of an organizational culture. In this context, the research aimed to determine the influence of organizational culture on knowledge management in basic education institutions. Basic research taken from a non-experimental, correlational design, took a sample of 150 teachers. Standardized instruments were applied for both variables which had a good level of reliability. It was found that 51.3% of teachers characterized the organizational culture at a process level and 43.3% at the same level for Knowledge Management. The ordinal regression model allowed us to determine that the characteristics of the organizational culture configure a model for knowledge management. The Nagelkerke coefficient showed that organizational culture predicts 39.4% of knowledge management levels in basic education institutions.

Achieving and sustaining reduction in hospital-acquired complications in an Australian local health service

BackgroundReducing the prevalence of hospital-acquired complications (HACs) is paramount for both patient safety and hospital financial performance because of its impact on patient’s recovery and health service delivery by diverting...

The effectiveness of a proposed strategy according to the Fraunhofer model of knowledge management in the achievement of second intermediate female students in mathematics

The goal of the research is to identify the effectiveness of using a proposed strategy according to the Fraunhofer model of knowledge management in mathematics achievement for second-grade female students in middle and high schools affiliated with the General Directorate of Education in Baghdad / Al-Karkh II. The objective was to prove the following null hypothesis: "The average scores of the experimental group who will study with the proposed strategy according to the Fraunhofer model and the scores of the control group students who will study in the usual way in the mathematics achievement test are not statistically significant different at the significance level (0.05)." The General Directorate of Education of Baghdad / Al-Karkh II identified the research population, which represents middle and secondary schools for girls. Sayyida Zainab (peace be upon her) middle school was specifically selected as the research sample, which was divided into two groups and included sixty-one female students in the second middle grade. For the experimental group, represented by Section (A), there were thirty-three female students; for the control group, represented by Section (C), there were twenty-eight female students. Achievement test was developed to gather data for the study. Its final form included 36 objective items of the multiple choice type with four alternatives. Parity was carried out statistically between the female students of the experimental and control groups in the variables (previous achievement in mathematics, previous mathematical knowledge, intelligence). Appropriate statistical techniques were applied when administering the test to the female students in the experimental and control groups (difficulty and ease coefficient, discrimination coefficient, efficacy of alternatives). After the two researchers applied suitable statistical techniques to analyze the data and administer a test like the Leaven's test, the results showed that teaching with the suggested strategy according to the Fraunhofer model of knowledge management has a significant impact in improving the achievement of the female students of the experimental group compared to the control group. Its psychometric properties were acknowledged.

A Taxonomy of Knowledge Management Systems in the Micro-Enterprise

Knowledge Management Systems enhance innovation, increase operational efficiency, and improve decision-making in business organisations. The administrative and resource overheads required to implement and maintain such systems inherently exclude the smallest of firms from reaping these benefits. This research aims to identify, evaluate, and summarize the distribution of research on knowledge management and supporting systems across business size classifications with a particular focus on micro-enterprises. It also seeks to establish if existing knowledge management models, practices, and systems have invested due consideration in their design to cater for the limited resources typically found in the micro-enterprise. It contributes new insight into the applicability of knowledge management systems to micro-enterprises and it stimulates a possible re-think of how such systems can cater to the specific constraints of this prolific business type. This taxonomy is the result of a thorough analysis of 168 research papers from a total of 10511 papers published in reputable conference proceedings since 2012. It focuses on key knowledge management themes covered, including the size of the enterprise, the adoption challenges, the potential benefits, the technologies used, and the aspects of the knowledge management cycle that are being employed. Furthermore, it draws on this analysis to highlight the appropriateness of existing knowledge management systems to the distinctive risk and opportunity characteristics of the micro-enterprise.

Proposal of a Knowledge Management Model for Complex Systems: Case of the Supervision and Control Subsystem of the Colombian Health System.

Considering regulatory, supervision, and control health policy, an innovative knowledge management model is proposed for the Colombian health system, which is recognized as a complex system. A model is constructed through a comparative analysis of various theoretical and conceptual frameworks, and an original methodology is proposed based on an analysis of the macroprocesses of the Supervision and Control System (SSC) of the Colombian General Social Security System in Health (SGSSS). After formulating hypotheses and conceptual references, information errors are determined within the different macroprocesses of the SGSSS, including those of governance and the SSC. The risks of generating duplicate, wrong, hidden, or non-existent information arise when the associated regulations need more specificity to be applied in all cases, thus leading to the risk of different interpretations by some actors. In this way, it is possible to hinder the generation of unified information, as there is no clarity as to who is responsible for the generation or creation of certain data. The proposed model is characterized by its flexibility and adaptability, integrating several processes that can be executed simultaneously or cyclically (depending on the system's needs) and allowing for the generation and feedback of knowledge at different stages, with some processes simultaneously executed to complement each other.

Impact of modern technological methods of knowledge management and total quality management on the performance of educational colleges faculty: A case of Jordan

This research investigates the impact of modern technological methods of knowledge management (KM) and total quality management (TQM) on the performance of faculty members in educational colleges in Jordan. Drawing on a survey conducted with 306 faculty members, the study examines the influence of technology on teaching methodologies and academic quality within the Jordanian higher education context. The study utilizes the Technology Acceptance Model (TAM) to back up the modern technological methods of knowledge management (KM) and total quality management (TQM) models. The findings reveal a generally positive perception among respondents regarding the beneficial effects of modern technological tools on teaching effectiveness, collaboration, and innovation. Additionally, technology-enhanced TQM practices were found to contribute to improvements in curriculum design, student engagement, and administrative processes. Regression and correlation analyses support significant relationships between technology-enabled KM and TQM practices and faculty performance, highlighting the transformative role of technology in shaping the future of higher education in Jordan. Recommendations are provided for educational institutions to enhance the integration of technology and foster a culture of innovation and continuous improvement among faculty members.

“It answers questions that I didn’t know I had”: PhD students’ evaluation of an information-sharing knowledge graph

PurposeInterdisciplinary PhD programs can be challenging as the vital information needed by students may not be readily available; it is scattered across the university’s websites, while tacit knowledge can be obtained only by interacting with people. Hence, there is a need to develop a knowledge management model to create, query and maintain a knowledge repository for interdisciplinary students. This study aims to propose a knowledge graph containing information on critical categories (faculty, classes, dissertations, etc.) and their relationships, extracted from multiple sources, essential for interdisciplinary PhD students. This study evaluates the usability of a participatory-designed knowledge graph intended to facilitate information exchange and decision-making.MethodologyThe authors used data from multiple sources (such as university websites, faculty profiles, publication and dissertation metadata and crowdsourced data) to generate a knowledge graph in the Neo4J Bloom platform. The authors recruited 15 interdisciplinary PhD students using convenience sampling from the University of Hawaiʻi at Mānoa at various PhD stages to design and populate the knowledge graph. Next, the authors conducted a mixed methods study to perform its usability evaluation. First, the authors engaged the students in a participatory design workshop to identify relevant graph queries. Second, the authors conducted semi-structured interviews to determine the usability of the knowledge graph and rate the queries. Each interview was coded with structural and thematic codes and was further analyzed using sentiment analysis in R programming language.FindingsThe usability findings demonstrate that interaction with this knowledge graph benefits PhD students by notably reducing uncertainty and academic stress, particularly among newcomers. Knowledge graph supported them in decision-making, especially when choosing collaborators (e.g. supervisor or dissertation committee members) in an interdisciplinary setting. Key helpful features are related to exploring student–faculty networks, milestones tracking, rapid access to aggregated data and insights into crowdsourced fellow students’ activities. However, they showed concerns about crowdsourced data privacy and accessibility. Although participants expressed the need for more qualitative data in the graph, they noted it helped identify people to talk to about the topics of their interest.OriginalityThe knowledge graph provides a solution to meet the personalized needs of doctoral researchers and has the potential to improve the information discovery and decision-making process substantially. It also includes the tacit knowledge exchange support missing from most current approaches, which is critical for this population and establishing interdisciplinary collaborations. This approach can be applied to other interdisciplinary programs and domains globally.

Impact of knowledge management on knowledge worker productivity: individual knowledge management engagement as a mediator

ABSTRACT The current research intends to develop and test a multidimensional model of knowledge management using second-order psychometric constructs and determine whether individual knowledge management engagement mediates the knowledge worker productivity. Data was collected using structured questionnaires, and 411 final samples were analysed using structural equation modelling. The results show that knowledge worker productivity is positively impacted by the knowledge management factor. The research also discovered evidence of an interaction between knowledge management and knowledge worker productivity that is mediated by individual knowledge management engagement. The theoretical conclusion of the research is that this multidimensional knowledge management model is suitable for gauging knowledge worker productivity in developing nations as well as industrialised ones, and it may also be applied to other service sectors. This study demonstrates a clear relationship between knowledge worker productivity and individual knowledge management engagement which will the practitioners to create efficient knowledge management strategies.

The incorporation of organizational integrity culture in outsourced service provision

The research addresses the incorporation of a culture of integrity in outsourced service provision companies, with an emphasis on knowledge management and organizational learning. The study examines the challenges faced by these companies in disseminating a culture of integrity among their employees, who often operate far from the physical structures of the employers. The methodology adopted includes both qualitative and quantitative analysis, using questionnaires and data analysis to explore employees' perceptions of the culture of integrity. The Ethical Climate Index (ECI) is utilized to measure employees' attitudes and perceptions regarding ethical issues in the workplace, while theoretical models of knowledge management are applied to investigate the transfer and assimilation of the culture of integrity. The findings indicate that, although companies implement Integrity Programs, the effective incorporation of a culture of integrity faces obstacles such as physical distance from company headquarters and limited socialization among employees, which can weaken the incorporation of organizational values. The study concludes that continuous efforts and organizational commitment are crucial to overcoming these challenges and reinforcing the culture of integrity. Future research is suggested to investigate more effective engagement strategies across different sectors and organizational contexts.

Knowledge Management Model for Urban Flood Emergency Response Based on Multimodal Knowledge Graphs

Recently, frequent flood disasters in China have seriously threatened economic development and public safety. This paper addresses the need for a dynamic urban flood emergency knowledge management system in emergency management departments and the lack of systematic knowledge among emergency managers regarding urban flood control. A multimodal knowledge graph-based urban flood emergency knowledge management model was constructed to enhance the decision-making capabilities of emergency management departments, improve the efficiency of public emergency evacuation, and reduce losses from urban flood disasters by analyzing the shortcomings of the existing emergency management system. An intelligent and dynamic flood emergency knowledge management model was built. This paper integrates multimodal knowledge graph technology to establish a multimodal emergency knowledge management framework for urban flood control. It develops and simulates the proposed model’s application scenarios for urban flood emergency evacuation using the Flocking algorithm on the NetLogo platform. Through simulation experiments, the practicality and effectiveness of the model in real flood disaster situations were examined, particularly in simulating crowd evacuation behavior. The study found that the model significantly improves the accuracy of information and decision-making speed during emergency responses and supports emergency management departments in conducting targeted and personalized emergency decisions. This research provides a scientific basis for emergency management departments to optimize their emergency response strategies to flood disasters and serves as a reference and example for the application of multimodal knowledge graph technology in emergency management.

Presenting a Personal Knowledge Management Model of Self-Care and Experience in Individuals with Bipolar Disorder and Families: A Study Protocol

Background. Bipolar disorder is a chronic condition that necessitates lifelong medication, therapeutic interventions, and self-care. People with bipolar disorder and their families may have varied experiences regarding sleep management, stress, interpersonal relationships, and anger, which are frequently overlooked. In the current study, the knowledge acquired by patients with bipolar disorder and their families was evaluated. Then, an appropriate model for managing self-care knowledge among individuals with bipolar disorder was proposed. Methods. The current mixed-methods study was conducted in four stages. The first stage involved a systematic review and meta-synthesis study in the field of knowledge management in the healthcare system. The second stage involved assessing the self-care experiences of patients with bipolar disorder. In the third stage, the codes obtained from the previous stages were prioritized by experts using Delphi techniques. In the fourth stage, a researcher prepared, validated, and distributed a questionnaire among mental health service providers stages. Finally, the personal knowledge management model of self-care and experience in individuals with bipolar disorder and their families was presented. Conclusion. Almost half of patients with bipolar disorder do not adhere to their long-term treatment. Also, this disease requires patients to perform self-care activities in addition to drug therapy. So, the design and implementation of a knowledge management model for self-care and experience in people with bipolar disorder can be effective in improving their self-care behaviors and quality of life.

Implementation of the Knowledge Management (KM) Model in Increasing Student Body in Private Universities

The Knowledge Management concept is a method that will be used in research and allows an organization to manage its knowledge as an asset. In order to improve organizational performance, especially in the field of Higher Education (PT) services, various efforts are needed to channel correct and appropriate knowledge to PT managers, so that the implementation of activities can run as expected. This research uses a descriptive research method that systematically describes the facts, objects and subjects studied accurately. Knowledge is one form of achieving PT excellence, if the value of the knowledge created can be implemented by the PT. The idea to implement a knowledge management (KM) system model is to carry out a real reaction in the optimization efforts of Private PTs in increasing the student body at Satya Negara Indonesia University (USNI), which in fact is experiencing a degradation of prospective students. So that the implementation of Knowledge Management can run as expected, USNI needs to apply the general characteristics of its academics to the KM model by (a) Providing knowledge; (b) Carrying out academic activities; (c) carry out the Tri Dharma of Higher Education; and (d) Development of academic culture. This research aims to provide knowledge information in the form of a knowledge management model that must be implemented and carried out by USNI through changing mindsets through general characteristics in the development of lecturers as USNI resources in an effort to gradually increase the student body which ultimately results in superior learning products and education.

Metodología deductiva del cuidado: descripción y prueba de los modos de investigación acerca del cuidado

ObjectiveDefine the modes of procedure of the Deductive Care Methodology (DCM) in the generation of knowledge about person's health care. MethodologyDesign and test of the DCM modes based on three phases: mapping of the MDC, generation of models from this methodology and testing of the models through studies in a clinical context. ResultsThe MDC presents five levels of abstraction with three modes broken down to 16 types. The modes are: Philosophical Mode to conceptualize and obtain generalities about reality, Mathematical Mode to operate with generalities, and Physical Mode to operationally verify, validating the results and the predictive capacity of the model. This MDC allows the creation of three models: Knowledge Model about Person Care, an ontology of care, Vulnerability Model about the person and Taxonomic Triangulation Model for knowledge management. All models generate products for computational knowledge management. In addition, the models are applied in teaching and generate research with more than a hundred participations in conferences and journals, of which five impact publications (from 2008 to 2022) classified in the categories of Nursing and Informatics are analysed. ConclusionsThe MDC collects prior knowledge to work with certainties, evidence and applying inferences that do not depend on the number of cases or inductive designs. This research presents a formal structure of the MDC with an interdisciplinary orientation between Health Sciences and Computer Sciences.

Knowledge Management in Parliament. A quantitative overview for Europe

Despite being the fundamental pillar of our democratic systems, there has been a notable scarcity of research on knowledge management within parliamentary settings. The few existing approaches fail to consider the unique structure of parliaments and the challenges newly elected members face. Previous research concluded that knowledge in parliaments still tends to be tacit, informal, and not recorded. In view of the multitude of highly knowledge-intensive crises in the last decade, the need for political knowledge management becomes apparent. This paper investigates how members of the national parliaments in Europe manage their knowledge relevant for policy-making, using original data collected in a quantitative online-survey in mid-2023. I was able to show that both organizational and cultural barriers hinder good knowledge work and that a systematic approach is still not being pursued. I come to the conclusion that modern politics lacks sufficient resources and know-how to adequately evaluate and apply the flood of information in everyday business. This deficiency is especially detrimental to inexperienced MPs and members of the opposition. Building on these findings, a proposed model for political knowledge management is presented. The central pillars are, on the one hand, the creation of awareness, the formulation of a knowledge strategy, the more intensive integration of external expertise and the establishment of IT support.

Bridging excellence, knowledge management and sustainability: Introducing the ‘Knowledge Management Excellence Model 21′, a model for sustainable development goals alignment

This paper aims to introduce a new sustainable business excellence model, called Knowledge Management Excellence Model 21 (KMEM21), a theoretical framework that combines Knowledge Management and Business Excellence Models (BEMs), proposing an approach applicable to organizations to directly contribute towards achieving the United Nations Sustainable Development Goals (SDGs). The paper through a qualitative-exploratory methodology makes an analysis and benchmarking, emphasizes the integration of Knowledge Management and three specific Business Excellence Models (Management Excellence Model (MEG) from Brazil, Baldrige Excellence Framework, and EFQM). This integration uncovers relationships between organizational concepts associated with Knowledge Management and BEMs, which contributes to new insights in the literature regarding these concepts' interplay. BEMs are presented as tools that can catalyze the power of Knowledge Management towards achieving SDGs. However, it's noted that the existing BEMs might not be adequate, as the goal extends beyond organizational improvement and excellence to encompass sustainable development aligned with SDGs. The article suggests that specific organizational concepts, identified through a literature review and aligned with Knowledge Management and BEMs, can be selected as indicators associated with the constructed KMEM21 and the SDGs. These indicators are intended to form a bridge between the new model and the SDGs. However, given the comprehensive nature of the theory, model development, application, result acquisition, and analysis, the article's primary contribution will be in its focus on elaborating the instrument and technique, demonstrating the creation of a theoretical framework for the SDGs. Future works will showcase the application of the proposed KMEM21 method in five Brazilian organizations, members of Global Compact, to compare the achieved objectives and the results obtained with the organizations' performance and their sustainability reports.

Research on the Construction of a Higher Education Knowledge Management Model Based on the Integration of Shadow Teams

With the advancement of technology and the development of globalization, higher education institutions are facing increasingly complex knowledge management challenges. Shadow team usually refers to an informal and flexible team, where different departments or fields work together to promote knowledge exchange and integration, and stimulate innovative thinking. In order to enhance the knowledge management capabilities and competitiveness of higher education knowledge management institutions, this study will integrate shadow teams, construct a knowledge management model for higher education training enterprises, and use Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation Method to construct an evaluation model for knowledge management capabilities of higher education training enterprises. The research results indicate that compared with traditional knowledge management models, the knowledge management model of higher education training enterprises integrating shadow teams collects 253 and 164 pieces of intelligence information at the 60th second, respectively; When the intelligence information is 300 pieces, the effectiveness of the analysis of the two models is 87.2\% and 39.5\%, respectively. An empirical analysis was conducted on a certain postgraduate entrance examination institution, and it was found that compared to students who reviewed independently, most of the students who participated in the training had significantly higher grades than those who did not receive training. The higher education knowledge management model that integrates shadow teams has stronger knowledge management capabilities and higher competitiveness.

Deductive Care Methodology: Describing and testing modes of care research

ObjectiveDefine the modes of procedure of the Deductive Care Methodology (DCM) in the generation of knowledge about person's health care. MethodologyDesign and test of the DCM modes based on three phases: mapping of the DCM, generation of models from this methodology and testing of the models through studies in a clinical context. ResultsThe DCM presents five levels of abstraction with three modes broken down to 16 types. The modes are: Philosophical Mode to conceptualize and obtain generalities about reality, Mathematical Mode to operate with generalities, and Physical Mode to operationally verify, validating the results and the predictive capacity of the model. This MDC allows the creation of three models: Knowledge Model about Person Care, an ontology of care, Vulnerability Model about the person and Taxonomic Triangulation Model for knowledge management. All models generate products for computational knowledge management. In addition, the models are applied in teaching and generate research with more than a hundred participations in conferences and journals, of which five impact publications (from 2008 to 2022) classified in the categories of Nursing and Informatics are analysed. ConclusionsThe DCM collects prior knowledge to work with certainties, evidence and applying inferences that do not depend on the number of cases or inductive designs. This research presents a formal structure of the DCM with an interdisciplinary orientation between Health Sciences and Computer Sciences.

A framework on interplay of knowledge types and dimensions in pandemics – Example of COVID‐19

AbstractRecent literature has documented numerous knowledge management (KM) policy frameworks and models utilised for managing pandemics such as COVID‐19. Perhaps the major focus of existing scholarly work is on the role and relevance of healthcare KM in the COVID‐19 crisis compared to the understanding of healthcare knowledge dimensions and knowledge types in pandemic management and control. Considering the complexities of COVID‐19, we attempt to address a literature gap in the management knowledge of pandemics as the study problem in this paper. The paper proposes a framework to analyse the interplay between the dimensions and knowledge types and its application benefits using the example of COVID‐19 management in the state of Kerala. Considering the disparities in how the pandemic was managed globally, we use the Kerala case to illuminate the different interactions between the three types and four dimensions of knowledge for pandemic management. Future studies may explore the extension and testing of the proposed interplay framework in other contexts.

The overview of knowledge management for the benefits of service-based value in the university libraries:

There is an exclusive chance for university libraries to contribute to the future reimagining of library services. In this regard, the job of KM might be extremely successful. As a result, university libraries may provide excellent user services by utilizing KM. This research is to explore the existing models of Knowledge Management (KM) and how the existing models of KM are implemented at university libraries, to recognize how KM is being implemented at university libraries as reported in earlier research, and the benefits of KM practices for creating service value for libraries. This research was performed following the “Preferred reporting items for systematic reviews and meta-analyses (PRISMA)” guidelines. The study found that a skilled workforce and expertise are required for effective KM implementation in university libraries. Outdated skills may serve as a starting point for KM in university libraries, but they are insufficient for providing service-based value. There is a need for Library and Information Science (LIS) professionals to develop additional competencies for KM practice in university libraries. Based on the findings and discussion, it can be concluded that all the authors have recognized the importance of KM in libraries. This finding would aid the university libraries and offer current KM knowledge to other libraries. Therefore, this research would be an excellent addition to the application of KM in university libraries.

In-House Knowledge Management Using a Large Language Model: Focusing on Technical Specification Documents Review

In complex construction projects, technical specifications have to be reviewed in a short period of time. Even experienced engineers find it difficult to review every detail of technical specifications. In addition, it is not easy to transfer experienced knowledge to junior engineers. With the technological innovation of large language models such as ChatGPT, a fine-tuned language model is proposed as an effective solution for the automatic review of technical specification documents. Against this backdrop, this study examines the in-house technical specification documents that are not publicly available. Then, two fine-tuned large language models, GPT-3 and LLaMA2, are trained to answer questions related to technical specification documents. The results show that the fine-tuned LLaMA2 model generally outperforms the fine-tuned GPT-3 model in terms of accuracy, reliability, and conciseness of responses. In particular, the fine-tuned LLaMA2 model suppressed hallucinogenic effects better than the fine-tuned GPT-3 model. Based on the results, this study discussed the applicability and limitations of a fine-tuned large language model for in-house knowledge management. The results of this study are expected to assist practitioners in developing a domain-specific knowledge management solution by fine-tuning an open-source large language model with private datasets.