Knowledge Management Tools Research Articles

Модель процесса формирования каталога сценариев для анализа и оценки функциональной безопасности автоматизированных систем вождения автомобилей

In the development of highly automated and unmanned vehicles, the auto industry is faced with a new set of problems associated with the need to standardize elements of automated driving systems and determine the rules for their testing and certification. Due to the acceleration of scientific and technological progress and the development of new technologies, previously used standards began to become obsolete as the practice of their application accumulated, and sometimes even before the approval of a particular technical regulation. In these conditions, a promising technical and legal solution may be the use of fuzzy logic in tools for aggregation and management of expert knowledge in the processes of certification and testing of highly automated vehicles and elements of their automated control systems. Fuzzy decision-making models use typical fuzzy situations that form catalogs of scenarios for testing vehicles and their systems. In this way, an expert system knowledge base can be formed in which knowledge engineers apply a set of test scenario or experiment parameters for testing and simulation. Determining the parameters of a new scenario, their similarity with previously formalized scenarios and the decision to include a particular scenario in the scenario catalog remains with the experts. The approaches used at the present stage to the formalization of expert knowledge are not acceptable for creating knowledge bases controlled by big data management systems or artificial neural networks, which are in the near future in the development of expert systems. The article proposes a method by which a knowledge engineer administering an expert system can automate the creation of a catalog of “fuzzy” test scenarios and simulation modeling of systems, by automatically searching for the maximum value of the states of these systems belonging to maps and catalogs of scenarios, with a probability specified by the expert, with using machine learning methods.

MODEL FOR DATA OBJECTS SELECTION BY SEARCH IMAGE FOR INTELLIGENT RECOMMENDER SYSTEMS

The research is conducted to develop and analyze an object filtering model for intelligent recommender systems. The main objective is to solve the problem of orientation in the vast amounts of information accumulated by mankind. The aim of the research is to create an effective tool for systematization and knowledge management, which in turn contributes to the optimization of decision-making processes and interaction with data. The paper focuses on the research and development of an object filtering model for intelligent recommender systems. Within the methodology and research area, the developed model is described in detail and the theoretical and practical aspects of the methodology are analyzed. In this paper, a variant of the problem statement of the research and development of an object filtering model for intelligent recommender systems is presented. In addition, the paper deconstructs the second stage of this problem, emphasizing its importance in the context of achieving system performance. The results of the study are analyzed in detail, highlighting the key points and features of the proposed model. The scope of the study is reviewed, detailing the prospects of applying the results in scientific and practical applications, providing the reader with a deeper understanding of the potential of the proposed model. The object filtering model has a high potential of usefulness for business and manufacturing. This work will be useful for developers and researchers of recommender systems in which users rarely or never interact with the same object.

Financial Crisis Management from the Perspective of national MPs: A Qualitative Assessment

Background: Financial crises have characterized economic history since the Roman Empire. Despite intensive political debate and extensive scientific research, parliaments in their role as legislators have failed to develop effective protection mechanisms. The example of the financial crisis of 2008 showed a major lack of political foresight with regard to the long-term consequences of decisions. Aim: The paper aims to provide insights into how financial politicians use their individual knowledge in policymaking and how knowledge management tools can help achieve financial market stability. Methods: Seven qualitative interviews with Members of national Parliaments in Europe were conducted in mid-2023. The evaluation was carried out using qualitative content analysis. Results: The results show that while the majority have the skills and understanding, the topic itself is underrepresented in everyday parliamentary life. The article concludes with a discussion of the need to introduce knowledge management systems in the parliamentary context. Practical relevance: This paper helps to uncover structural knowledge deficits among MPs. Knowledge management instruments could provide easy-to-implement support.

Impact of Knowledge Management Strategies on Innovation Performance in Small and Medium Enterprises (SMEs) in Rwanda

Purpose: The aim of the study was to assess the impact of knowledge management strategies on innovation performance in small and medium enterprises (SMEs) in Rwanda. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The study indicate that effective knowledge management practices within SMEs positively influence innovation performance, leading to enhanced competitiveness and sustainable growth. Implementing knowledge management strategies such as knowledge sharing, creation, and utilization facilitates idea generation, problem-solving, and product/service development. Furthermore, fostering a knowledge-sharing culture among employees promotes collaboration, learning, and creativity, thus fueling innovation within SMEs. Additionally, leveraging technology platforms and tools for knowledge management facilitates seamless information exchange, retrieval, and utilization, further enhancing innovation capabilities. Implications to Theory, Practice and Policy: Resource-based view, social capital theory and dynamic capabilities theory may be used to anchor future studies on assessing the impact of knowledge management strategies on innovation performance in small and medium enterprises (SMEs) in Rwanda. SMEs should prioritize investments in knowledge management initiatives aimed at fostering a culture of innovation, collaboration, and continuous learning within the organization. Policymakers should develop supportive frameworks and incentives to encourage SMEs to invest in knowledge management initiatives.

Assessing Knowledge Management Readiness to Improve Data Quality by Prevent Incorrect Data Input on ERP System in Component Rebuild Center PT Kalcoal

To fulfil the demand of availability component for supporting the mining operation at PT Kalcoal. Recondition component daily activity of recondition is entanglement from one process to another until the end of process. For transform digitalization, recondition component activity will using Enterprise Resource Planning (ERP) in every process. The purpose of this study is to understand the level of knowledge management readiness in the component rebuild center in the Implementation of the ERP work system, to understand the strengths and areas for improvement for Knowledge Management, and to find tools that can be used to implement Knowledge Management in the component rebuild center. This research using quantitative method, collected through a questionnaire. Furthermore, qualitative data was used to enrich the primary data collected through focus group discussions. By using APO as tools of knowledge management readiness, the results showed that the component rebuild center is still in the expansion phase, where knowledge management efforts are present in the core activity process and the company sees the benefits of knowledge sharing. The component rebuild center can further develop itself by using people as its accelerator. Having committed change groups and leaders will create a culture of knowledge sharing that can be followed by all lines of business in the company. In order for employees to have a single source of knowledge, it is important to create a knowledge management tool that can be done by building a new portal that can be accessed by all employee users. For the source of knowledge to always align the needs and developments of the company, it is necessary to have the ability to grow and store information safely and freely for employees so that information is always updated and well-maintained.

Cultural institutions as knowledge-intensive public organisations (KIPOs) and their role: how digitalisation can change them providing sustainable and accessible public services

PurposeThis exploratory research seeks to clarify the role of cultural organisations as knowledge-intensive public organisations (KIPOs) and the trend of digital content creation in museum sectors and national strategies through a country case study. It aims to provide a deeper understanding and analysis of museums' roles as KIPOs, specifically focusing on their digitalisation and digital content development for service delivery. Digital technology utilisation in the museum sector has amplified the significance of digital content, not only because of the increasing use of digital technologies among the public but also because it provides attractive new content to appeal to customers, as well as more efficient knowledge management and knowledge reproduction tools for KIPOs. Thus, this paper analyses digital content creation in the museum sector and policy frameworks to provide insights into the role of museums as KIPOs by utilising digital technologies.Design/methodology/approachWe conducted literature review on six keywords, combination of “cultural institution”, “museum”, “digitalization”, “digital content”, and “ICT” to understand the digitalisation of museums amongst academic papers, then used a case study to figure out the common issues as well as case-specific features of these digital offerings through analysis of the digital platforms of museums. Specifically, we choose the case of South Korea, its national strategies and budget allocations and the museum sectors in the country. Thus, the secondary data analysis was provided by the official channels, such as documents from government agencies, media sources, such as articles from newspapers and magazines and academic works of literature, such as papers in scientific journals.FindingsThis paper reveals the research trend in museums' digitalisation, especially through the case study, how the South Korean government has argued digital content development in museum sectors through their national strategies and budget allocations, and the trend of museums' digital offerings since 2021. This paper thus presents a novel contribution to the field by delving into the research trend in digitalisation and digital content development in the museum sector and analysing the South Korean government's national strategies and budget allocation in this context. The literature review shows that the digitalisation of museums has increased research interest in the last few years in limited areas. South Korea has allocated budgets and policies to encourage digital content creation in museums, and this study identifies an increase in digital content creation in the museum sector.Research limitations/implicationsThe paper chose one-country case study, that of South Korea; thus, there are representative limitations and thus in terms of generalisation of the results. Further research with case studies from other countries and comparative studies are required.Practical implicationsThis study highlights the importance of digitalisation and digital content development in the museum sector through government policies, strategies and financial investment.Social implicationsIt highlights the importance of digitalisation and the introduction of digital contents amongst museums to gain new visitors and change the relationship between the institutions and the customers.Originality/valueIt deals with the digitalisation of museums as KIPOs and it is a new and relevant topic per se. This study enhances the understanding of the museum sector’s digital content development and national policies to support its activities. It provides insights into the utilisation of digital technologies in cultural institutions for digital service delivery in public organisations.

KNOWLEDGE MANAGEMENT IN THE CONDITIONS OF INDUSTRIAL ENTERPRISES INTELLECTUALIZATION AND DIGITALIZATION DEVELOPMENT

Objective. The purpose of the research is to deepen the methodological and applied foundations of knowledge management in the conditions of industrial enterprises intellectualization and digitalization development. Methodology. The methodological basis of the research article is a set of theories and concepts that contribute to a full understanding of the knowledge management process of the content at an enterprise in the context of intellectualization and digitalization: theories of knowledge economy, entrepreneurship, institutionalism, microeconomic theory of knowledge management, theory of new knowledge acquisition; the concept of information society; the concept of intellectual capital; the concept of social capital. The methodology is based on system analysis as a scientific method of researching the enterprise knowledge management functions. The study used quantitative and qualitative methods of data and information collection and analysis; methods of analytical, situational analysis and synthesis; comparative analysis, generalization of scientific experience of modern theoretical research, and a systemic and integrated approach. Results. The article outlines the important role of knowledge management in creating competitive advantages, increasing the value of enterprises and ensuring their long-term sustainable development. A new understanding of the essence of the categories of “knowledge management of an industrial enterprise” and “knowledge management system of an industrial enterprise” has been proposed. A theoretical generalization of the concept of knowledge management of industrial enterprises has been carried out. The article describes new trends in the knowledge management system based on the synergistic relationship between technological components and behavioral aspects in management. The scientific novelty lies in improving the methodology and concept of an integrated knowledge management system and methodological support for its effective practical application. The implementation of the knowledge management system in the conditions of intellectualization and digitalization is substantiated, which improves knowledge accumulation processes, integrates knowledge into the field of the enterprise activity and ensures the exchange of knowledge between employees and key stakeholders. Modern knowledge management tools that enable intellectualization and high-quality digitalization of an enterprise are identified. Recommendations for improving knowledge management at industrial enterprises have been developed, as well as mechanisms for their practical implementation have been proposed. Practical significance of the obtained results. The author’s developments and recommendations can be used to effectively use the intellectual potential of an enterprises to increase economic added value through the growth of organizational knowledge.

FUNDAMENTAL CONCEPTS IN ORGANIZATIONAL KNOWLEDGE MANAGEMENT

The purpose of this article is to provide a comprehensive review and critical examination of knowledge management (KM) concepts, processes, and tools, highlighting their significance for enhancing competitiveness in today's business landscape. We trace the evolution of KM, delineating key processes such as knowledge creation, sharing, and application, and classify KM tools into technical and non-technical categories, underscoring their complementary roles. Through a detailed literature review, we identify and tackle the predominant challenges in KM, particularly emphasizing the difficulties associated with managing tacit knowledge. Our findings reveal innovative strategies for leveraging information technology in KM to automate decision-making processes and foster novel applications. Furthermore, we propose practical solutions for the efficient storage and sharing of tacit knowledge, addressing a critical gap in the literature. The study not only enriches the KM field by providing a synthesized overview of existing research but also contributes novel insights by highlighting specific challenges and offering evidence-based recommendations for practitioners. In conclusion, our research elucidates the multifaceted benefits and challenges of KM, paving the way for future studies to explore uncharted territories in the KM landscape.

Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking.

Recent advances in natural language processing enable more intelligent ways to support knowledge sharing in factories. In manufacturing, operating production lines has become increasingly knowledge-intensive, putting strain on a factory's capacity to train and support new operators. This paper introduces a Large Language Model (LLM)-based system designed to retrieve information from the extensive knowledge contained in factory documentation and knowledge shared by expert operators. The system aims to efficiently answer queries from operators and facilitate the sharing of new knowledge. We conducted a user study at a factory to assess its potential impact and adoption, eliciting several perceived benefits, namely, enabling quicker information retrieval and more efficient resolution of issues. However, the study also highlighted a preference for learning from a human expert when such an option is available. Furthermore, we benchmarked several commercial and open-sourced LLMs for this system. The current state-of-the-art model, GPT-4, consistently outperformed its counterparts, with open-source models trailing closely, presenting an attractive option given their data privacy and customization benefits. In summary, this work offers preliminary insights and a system design for factories considering using LLM tools for knowledge management.

Knowledge Conversion Abilities and Innovative Work Behavior of Indonesian Academic Librarians

This study aims to investigate the connection between knowledge conversion abilities and innovative work behavior among academic librarians. It was undertaken due to the scarcity of information on the knowledge conversion capabilities of academic librarians and their association with innovative work behavior. This study conducted quantitative research using a survey questionnaire to collect data from 320 academic librarians working in public and private universities in Indonesia. The study found that academic librarians reported engaging in all four knowledge conversion processes, with combination being the most frequently used, followed by externalization and internalization. Additionally, academic librarians reported being engaged in both types of innovation, but more involved in service innovation than process innovation. The study found that externalization, combination, and internalization were positively related to innovative work behavior, but socialization was not significantly related. The study emphasizes the need for infrastructure and competencies support for librarians to foster knowledge conversion and access to knowledge management tools. A conducive work environment is essential for innovation in academic libraries, and relevant authorities need to provide adequate support. Moreover, this research enhances our understanding of the role of knowledge conversion abilities and innovative work behavior in the context of Indonesian academic libraries.

The effects of knowledge management processes on service sector performance: evidence from Saudi Arabia

This study examines the effect of Knowledge Management (KM) processes on organizational performance in Saudi Arabian service organizations. It focuses on knowledge creation, capture, sharing, and application, and examines their effects on quality, operational, and innovation performance. While the service sector can enhance operational efficiencies through effective KM implementation, the extent of this impact, particularly in terms of quality and operational performance in developing countries like Saudi Arabia, remains underexplored. The study uses a quantitative methodology, obtaining 605 valid responses from Saudi service sector managers through an online self-reported questionnaire. Structural equation modeling validates the research model and tests the hypotheses. Results indicate that knowledge sharing has a nonsignificant effect, while knowledge creation, capture, and application have substantial impacts. Specifically, knowledge application significantly improves operational performance, while knowledge creation influences quality and innovation performance. Organizations are advised to understand their KM processes’ structure to effectively implement and leverage their impact on performance. Emphasizing knowledge sharing through personalized communication channels, employee development opportunities, and effective incentive systems is recommended to sustain engagement and motivation. Furthermore, prioritizing KM tools and technology for seamless knowledge flow across organizational levels and implementing collaborative tools can enhance innovative capabilities, adaptability, and competitive advantages.

Knowledge-oriented leadership for improved coordination as a solution to relationship conflict: effects on innovation capabilities

ABSTRACT This paper analyzes knowledge-oriented leadership and coordination as factors that help organisations to reduce conflicts in workplace relationships, with the aim of improving innovation capabilities. To date, these factors remain underexplored in the hotel industry, the future sustainability of which depends on the development of new services and business processes. This paper proposes a series of hypotheses about the role of knowledge-oriented leadership and coordination in developing an environment that is conducive to reducing conflicts, the result of which is an improvement in the innovation capabilities of hotel establishments. The hypothesised relationships between variables have been tested by means of structural equation modelling using SmartPLS 4.0. The results show that innovation capabilities improve when hotel establishments implement this type of leadership adequately as, with the use of knowledge management tools, the coordination of tasks is improved, thereby reducing the negative effects of workplace relationship conflict.

Analysing the Knowledge Management Culture of Construction Firms in Abuja

Construction projects are temporal in nature and involves project managers assembling construction professionals that are often disbanded immediately a project is completed. This disbandment causes construction knowledge that firms accumulate from the experience of teams to be lost or go uncaptured. This is a concern for firms that need to retain knowledge to remain competitive and often compete for limited contracts. Research into construction knowledge tends to focus on the relationship between the culture of organisations and construction knowledge. A second piece of the literature focusses on the nexus between construction knowledge and organisational performance. However, investigations that examine the knowledge management culture in construction firms with a view to analyse various issues and factors involved is limited. Therefore, the aim of this study is to examine the knowledge management culture within organizations in the Federal Capital Territory, Abuja, Nigeria. A descriptive survey approach is adopted, and data is obtained through questionnaires in Abuja. The results showed that many construction firms struggle or fail to formally capture/share construction knowledge because many employees have little or basic knowledge of knowledge management techniques or tools and often rely heavily on face-to-face interactions to share knowledge. The study argues that a superior knowledge of as well as an increased adoption of knowledge management techniques and tools by employees can significantly enhance the ability of an organisation to share and capture construction knowledge to minimise knowledge loss.

ICT Tools for Open Educational Resources Used in an Open Distance E-learning Institution in the Fourth Industrial Revolution Era

Open educational resources (OER) are gaining popularity in higher education spaces and more attention in open distance e-learning (ODeL) institutions as they are gradually substituting printed prescribed textbooks in the teaching and learning space. The adoption and development of OER have been researched; however, the roles of knowledge management tools in storing and disseminating the resources are not well articulated. This research explores the use of knowledge management tools in an ODeL learning context. ODeL institutions use knowledge management tools and a host of other information and communication technologies (ICT) to deliver and facilitate synchronous and asynchronous learning and bridge transactional distance. Therefore, this study employed a qualitative approach to investigate ways in which lecturers use knowledge management tools to embrace and create OER. A case study approach was used at one ODeL institution. The knowledge management cycle (KMC) was chosen as the theoretical framework of the study. The key finding demonstrates that lecturers utilised a wide range of ICT tools for the storage, collection, and dissemination of OER as part of knowledge production. The study proposes the extension of the KMC from three cycles to four where “system” is added. There is a significant need for policy, impact, and the matrix to be covered under the system cycle. The study recommends that scholars who are investigating any IT artefact opt for an extended KMC where impact and user metrics will be evaluated, as this will enhance academic support.

Description of Crowdsourcing and AI-Based Tool for Knowledge Management and Systems Change in Public Services

This study presents a crowdsourcing IT platform and working model intended to support knowledge management processes and systems change to help public service organizations fulfill their purpose and perform their tasks in a rapidly changing environment. The tool brings together tacit and explicit knowledge regarding organizational processes in one database and provides an AI-assisted platform for knowledge processing. Additionally, it allows for disseminating refined data to grassroots-level actors, enables the implementation of initiatives, and monitors their effectiveness. By utilizing crowdsourcing, the tool leverages the collective intelligence of actors across organizational boundaries, thereby promoting collective, knowledge-based learning and organizational self-renewal.

Development of Guimaras State University knowledge base for ict technical support: Notionas knowledge management tool

Development of Guimaras State University knowledge base for ict technical support: Notionas knowledge management tool

A Study on Adoption of Knowledge Management Tools and its Impact on Organizational Performance - A Balance Scorecard Approach

Knowledge Management (KM) systems are useful in promoting innovation and providing firms with a competitive advantage by enabling the creation of unique and customized goods that increase revenue. KM is instrumental in achieving organizational goals. Various companies now considering implementing KM software. This paper discusses and compares select companies like Ford, Amazon, World Bank, GE and Pratt and Whitney. The researcher used the Balanced Score Card Framework to compare organizational performance. The research is based on secondary data. It seeks to ascertain the level to which KM tools are being implemented in select organisations. Second, the study aims to study the impact of the degree of application of these technologies on the overall performance of the company in question. It has been identified that the total application of knowledge management technologies in case organizations has helped them achieve organizational success. Even though organizations implemented the internet to a high degree and intranets, decision support systems and e-learning to a reasonable level, some case companies are lagging in the implementation of other tools.

Optimizing User Engagement in Enterprise Knowledge Management: Insights and Innovations from a Confluence Pages Project

In the pursuit of enhancing user engagement within Confluence-based knowledge repositories, this paper details the development of an advanced scoring system tailored to evaluate content efficacy. Central to this system is the normalization of disparate content metrics against a common scale and the strategic weighting of key performance indicators—such as engagement, timeliness of updates, frequency of edits, content length, and collaborative contributions. The confluence of these metrics culminates in a composite score per content piece, enabling a nuanced appraisal of its value. Employing Z-scores for benchmarking facilitates the delineation of content into actionable tiers, thus informing a data-driven approach to content management. This scoring framework, with its capacity to quantify and qualify user-content interaction, presents a transformative tool for knowledge management, ensuring that content not only resonates with its audience but also aligns with organizational objectives.

HeNeCOn: An ontology for integrative research in Head and Neck cancer

BackgroundHead and Neck Cancer (HNC) has a high incidence and prevalence in the worldwide population. The broad terminology associated with these diseases and their multimodality treatments generates large amounts of heterogeneous clinical data, which motivates the construction of a high-quality harmonization model to standardize this multi-source clinical data in terms of format and semantics. The use of ontologies and semantic techniques is a well-known approach to face this challenge. ObjectiveThis work aims to provide a clinically reliable data model for HNC processes during all phases of the disease: prognosis, treatment, and follow-up. Therefore, we built the first ontology specifically focused on the HNC domain, named HeNeCOn (Head and Neck Cancer Ontology). MethodsFirst, an annotated dataset was established to provide a formal reference description of HNC. Then, 170 clinical variables were organized into a taxonomy, and later expanded and mapped to formalize and integrate multiple databases into the HeNeCOn ontology. The outcomes of this iterative process were reviewed and validated by clinicians and statisticians. ResultsHeNeCOn is an ontology consisting of 502 classes, a taxonomy with a hierarchical structure, semantic definitions of 283 medical terms and detailed relations between them, which can be used as a tool for information extraction and knowledge management. ConclusionHeNeCOn is a reusable, extendible and standardized ontology which establishes a reference data model for terminology structure and standard definitions in the Head and Neck Cancer domain. This ontology allows handling both current and newly generated knowledge in Head and Neck cancer research, by means of data linking and mapping with other public ontologies.

Knowledge management tools and mechanisms for evidence-informed decision-making in the WHO European Region: a scoping review

BackgroundKnowledge management (KM) emerged as a strategy to promote evidence-informed decision-making. This scoping review aims to map existing KM tools and mechanisms used to promote evidence-informed health decision-making in the WHO European Region and identify knowledge gaps.MethodsFollowing the Joanna Briggs Institute (JBI) guidance for conducting scoping reviews, we searched Medline, PubMed, EMBASE, the Cochrane library, and Open Grey. We conducted a descriptive analysis of the general characteristics of the included papers and conducted narrative analysis of the included studies and categorized studies according to KM type and phase.ResultsOut of 9541 citations identified, we included 141 studies. The KM tools mostly assessed are evidence networks, surveillance tools, observatories, data platforms and registries, with most examining KM tools in high-income countries of the WHO European region. Findings suggest that KM tools can identify health problems, inform health planning and resource allocation, increase the use of evidence by policymakers and stimulate policy discussion.ConclusionPolicymakers and funding agencies are called to support capacity-building activities, and future studies to strengthen KM in the WHO European region particularly in Eastern Europe and Central Asia. An updated over-arching strategy to coordinate KM activities in the WHO European region will be useful in these efforts.