Effective Knowledge Management Research Articles

Unveiling dilemmas and countermeasures in the green transformation of China’s real estate industry through the lens of knowledge management

Purpose Effective knowledge management has played a crucial role in propelling the green transformation of organisations and industries. Nevertheless, its underutilisation in the real estate sector has impeded the progress of green transformation. Therefore, the purpose of this paper is to offer a theoretical and practical analysis of the green transformation of the real estate industry through the lens of knowledge management and to provide a valuable reference to facilitate the industry’s green transformation. Design/methodology/approach This study entailed applying induction and deduction method, using China’s real estate industry as a typical case, and collecting and analysing the public data, corporate reports and literature of China’s real estate industry. On this basis, the authors conducted an in-depth analysis of the mechanisms through which the green transformation has empowered the sustainable development of China’s real estate industry, as well as the critical role of knowledge management. Findings The study has revealed that the primary challenges encountered by China’s real estate industry during the green transformation have stemmed from significant disparities in the knowledge base among different industry entities, the complexities related to knowledge integration and the “difficulty” of applying green knowledge across the entire life cycle. To address these issues, the authors recommend several strategic actions, including creating a dedicated green knowledge platform for the real estate industry, establishing a knowledge-sharing mechanism, enhancing knowledge acquisition on both the supply and demand sides and intensifying the focus on the application of green knowledge within the real estate industry. Research limitations/implications This research holds considerable theoretical and practical significance concerning the comprehension and promotion of knowledge management’s role in the green transformation of China’s real estate industry. These insights can be applied to significantly enhance the theoretical framework of knowledge management, and the research outcomes provide substantial support for propelling the green transformation in China’s real estate industry and contributing to the sustainable development of the overall economy in China. Originality/value From a knowledge management perspective, this study introduces a series of solutions and recommendations, presenting new research ideas and pathways for advancing the green transformation of the real estate industry. In addition to guiding the industry’s sustainable development, it also significantly contributes to enhancing the theoretical framework of knowledge management.

Assessing The Impact of Organizational Context on Learning Barrier Formation in Lima’s Private Universities

This research focuses on exploring the relationship between organizational learning barriers and organizational context in Private Universities in Lima, with the primary aim of elucidating how these elements interact and affect the learning dynamics within these institutions. Adopting a correlational cross-sectional non-experimental approach, a specific survey was designed and validated for application in the Peruvian context, gathering responses from 384 collaborators. The findings reveal that the most frequent barriers related to thought-action coherence highlight concerns about authenticity and sincerity in discussions, as well as a significant discrepancy between public and private opinions of workers. On the other hand, in the realm of organizational context, the critical factors identified include employees' perceptions of replaceability, fear of evaluations, deficiencies in communication channels, and the predominance of opinions from those with greater power. The conclusions point to the need to address these barriers to foster a more conducive environment for organizational learning, suggesting that effective knowledge and organizational environment management are fundamental for institutional development and adaptability.

XLORE 3: A Large-scale Multilingual Knowledge Graph from Heterogeneous Wiki Knowledge Resources

In recent years, Knowledge Graph (KG) has attracted significant attention from academia and industry, resulting in the development of numerous technologies for KG construction, completion, and application. XLORE is one of the largest multilingual KGs built from Baidu Baike and Wikipedia via a series of knowledge modelling and acquisition methods. In this paper, we utilize systematic methods to improve XLORE’s data quality and present its latest version, XLORE 3, which enables the effective integration and management of heterogeneous knowledge from diverse resources. Compared with previous versions, XLORE 3 has three major advantages: 1) We design a comprehensive and reasonable schema, namely XLORE ontology, which can effectively organize and manage entities from various resources. 2) We merge equivalent entities in different languages to facilitate knowledge sharing. We provide a large-scale entity linking system to establish the associations between unstructured text and structured KG. 3) We design a multi-strategy knowledge completion framework, which leverages pre-trained language models and vast amounts of unstructured text to discover missing and new facts. The resulting KG contains 446 concepts, 2,608 properties, 66 million entities, and more than 2 billion facts. It is available and downloadable online 1 , providing a valuable resource for researchers and practitioners in various fields.

A survey of analyzing organizational performance and survival employing the management of knowledge

As the knowledge-based economy has grown, effective Knowledge Management (KM) is becoming more and more crucial. Effective knowledge management is cited as a crucial element for any company seeking to maintain a sustained edge over competitors. To emphasize the importance of KM in organizations, the literature in the area is surveyed in this work. The study can demonstrate the significance of knowledge management factors in determining how well an organization performs as well as a vital instrument for its competitiveness, profitability and survival. For organizations to fully benefit from the value of knowledge, effective creation, management, sharing and utilization of knowledge are therefore essential. The study makes the argument that three essential elements people, procedures and technology must be considered if organizations are to manage knowledge effectively. Essentially, the goal of connecting people, processes and technology should be to leverage knowledge in favor to ensure the achievement of the organization.

Knowledge Management: Any changes in the Research Agenda?

Knowledge Management: Any changes in the Research Agenda?

A Combined Decision-Making Analysis Under Single-Valued Neutrosophic Set for Selecting Favorable Knowledge Management Strategy

The Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are pivotal methods in multi-criteria decision-making, addressing causal relationships among criteria and ranking alternatives, respectively. This paper introduces a novel approach, integrating DEMATEL and TOPSIS under the framework of single-valued neutrosophic set (SVNS) to handle indeterminacy in decision-making. Applied to a knowledge management strategy case, the method utilizes eight criteria and four alternatives derived from the literature. The process involves DEMATEL for expert weight determination and direct-relation matrix creation through linguistic variable influence. Subsequently, TOPSIS is employed to rank alternatives based on distance measures. The combined method identifies the ‘Human Resource Department’ as the most crucial in knowledge management strategy. This integrated approach facilitates organizations in pinpointing vital criteria and alternatives for effective knowledge management. Comparative analyses with existing methods are also presented.

Relationship between open innovation and innovation performance within high-tech firms: The mediating role of knowledge management capability

In the current competitive global marketplace, innovation is key for high-tech firms to thrive. Open innovation offers a promising approach, but its effectiveness remains unclear. Therefore, this research explored the connection between open innovation, knowledge management capability, and innovation performance within high-tech firms. We used a mediation approach to highlight the central role of knowledge management capability in the relationship between open innovation and innovation performance. We used a survey questionnaire approach to collect data from the 462 employees of high-tech firms on open innovation, knowledge management capability, and innovation performance using a convenient sampling technique. We used partial least square structural equations modeling through PLS-SEM statistics. Results indicated that open innovation has a direct, positive and significant connection with innovation performance. Similarly, the current research serves as a pioneering exploration into mediation analysis, highlighting the mediating role of knowledge management capability that influences the relationship between open innovation and innovation performance. Empirical studies offer valuable insights for leaders of high-tech firms, guiding them to identify effective knowledge management practices and determine the ideal extent of open innovation to boost innovation performance. The current study reveals novel insights into the benefits of knowledge management capability in enhancing open innovation efforts within firms. This research provides valuable implications and future research directions.

A Framework Design of Web-based Knowledge Management System with NoSQL Database

In today's dynamic and information-rich environment, effective knowledge management has emerged as a critical determinant for organizations seeking to take advantage of intellectual resources. Nevertheless, it is unrealistic to expect experts who lack a background in Information and Communications Technology (ICT) to possess an advanced level of technological proficiency or linguistic analytical skills. This study provides a comprehensive framework targeted at developing a Web-based Knowledge Management System (WKMS) coupled with chatbot application that is precisely tuned to meet the complex challenges of organizing, disseminating, and utilizing knowledge related to agriculture sector. This paper elaborates on a framework from both functional and technical perspectives, including the identification of knowledge origins, the establishment of mechanisms for capturing and sharing knowledge, and the facilitation of collaborative knowledge generation. This study employing a methodological approach and adopts a three-tier architecture for framework construction, coupled with text processing for data preparation. The findings emphasize that a successful WKMS should prioritize not only technology infrastructure but also strategies for building a culture favorable to information exchange. This paradigm lays the groundwork for enhanced discovery, innovation, and decision-making in a variety of professional fields by fusing theoretical insights and pragmatic considerations.

Role of Knowledge Management Practices in Enhancing Innovation and Competitiveness in the Ethiopian Leather Industry

Purpose: The aim of the study was to investigate the role of knowledge management practices in enhancing innovation and competitiveness in the Ethiopian leather industry.
 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 role of knowledge management practices in enhancing innovation and competitiveness in the Ethiopian leather industry is significant. Through effective knowledge management strategies, such as knowledge sharing, transfer, and utilization, firms can capitalize on their intellectual capital to foster innovation and improve competitiveness. By leveraging existing knowledge assets and creating a culture of continuous learning and innovation, Ethiopian leather companies can position themselves for sustained growth and success in both domestic and international markets.
 Unique Contribution to Theory, Practice and Policy: Resource-based view (RBV) theory, dynamic capabilities theory & social capital theory may be used to anchor future studies on the role of knowledge management practices in enhancing innovation and competitiveness in the Ethiopian leather industry. Organizations within the Ethiopian leather industry should invest in capacity-building programs to enhance employees' knowledge management capabilities. Government policies should be formulated to support knowledge management initiatives and innovation in the Ethiopian leather industry.

Performance study of knowledge integration in marketing-oriented small and medium enterprises

Purpose: This study aims to examine the impact of the knowledge fermentation field on the knowledge integration performance of marketing-oriented SMEs. This research will help develop more useful market policies for company management. Design/Methodology/Approach: This research focuses on marketing-oriented SMEs, conducting a survey among 700 employees from 421 such enterprises. The collected data were analyzed to understand the influence of the knowledge fermentation field on the knowledge integration performance of these enterprises.
 Findings: Knowledge management plays a crucial role in marketing-oriented SMEs especially in terms of knowledge integration. Effective knowledge management strategies significantly enhance the market adaptability and innovation capabilities of these enterprises.
 Conclusion: The knowledge fermentation field in marketing-oriented SMEs positively impacts the enterprise's knowledge integration performance. The relationship between the field of knowledge fermentation and the performance of knowledge integration in marketing-oriented SMEs is moderated by the knowledge spiral fermentation system.
 Research Limitations and Implications: The study primarily targets marketing-oriented SMEs in a specific region and may not be entirely applicable to other regions or different types of enterprises. The influence of temporal variations on business knowledge integration performance may not have been properly taken into account during data collection.
 Practical Implications: This study provides businesses with an effective tool for developing and comprehending knowledge creation and innovation in the spiral fermentation system model of the knowledge ecosystem in small and medium-sized marketing companies. It fosters a healthier development path for the knowledge ecosystem in these enterprises.
 Contribution to the Literature: This study proposes a new theoretical framework in the field of knowledge management for marketing-oriented SMEs. It offers new perspectives and theoretical support for understanding and enhancing knowledge management practices in SMEs by integrating the concepts of the knowledge ecosystem and knowledge integration performance.

Challenges of Hybrid Policing in Countering Online Fraud Networks: A Case Study from Sidrap Regency

This research aims to examine the concept of hybrid policing in the context of crime prevention, specifically cyber fraud in Sidrap Regency. This research uses an empirical legal research method. All collected data is then qualitatively analyzed to describe the problem and answer the research objectives. The results show that the characteristics of cyber fraud in Sidrap Regency exhibit anonymity and disregard for geographical boundaries, with the primary motivation of the perpetrators being personal gain. They employ fake identities and compromised devices to execute their schemes, exacerbated by technological advancements, the public’s lack of awareness, and existing regulatory gaps. Therefore, it is recommended that the POLRI renew and adapt their policing model to be more responsive to the dynamics of cybercrime by implementing a hybrid policing approach. This involves active collaboration with community organizations in prevention efforts, which are expected to increase public awareness and strengthen the cyber security network. Additionally, developing an effective knowledge management system is advised, facilitating the exchange of information and strategies for handling cybercrime cases more efficiently. For researchers, it is crucial to examine further the social and psychological impacts of cybercrime on victims, which can contribute to forming a theoretical and practical foundation for a more holistic and victim-oriented approach to preventing and handling cybercrime in Sidrap Regency.

Supporting Learning Information System through Knowledge Management Optimization using Long Short-Term Memory Method

Effective information and knowledge management is vital in many areas, including higher education. The use of artificial intelligence (AI) technology, especially the long short-term memory (LSTM) information system performance patterns in the educational world. This article explores the application of LSTM to optimize knowledge management in colleges, focusing on the prediction of information systems performance. The proposed methods include text classification steps, with measures such as data collection, data pre-processing, word representation, classification, and evaluation. The test results showed that the LSTM model managed to classify reviews labeled positive, neutral, and negative with an accuracy of 33.33%. However, the success of the model was limited by the size of the data set and the pre-processing involved. This research recommends further development with the addition of experimental data, proper preprocessing adjustments, and better hyperparameter identification to improve the accuracy of the prediction results.
 Keywords: information management, artificial intelegence, LSTM, text classification, knowledge management, accurate prediction

Navigating Innovation Highways: Unraveling the Entrepreneurial Culture's Role with Knowledge Management as the Mediator in Automotive Technology Innovations

The electric vehicle (e-vehicle) automotive sector in India has been undergoing substantial expansion and metamorphosis, propelled by reasons like governmental regulations, ecological considerations, and technological progress. The objective of this study is to determine the impact of entrepreneurial Culture on technical innovation in the e-vehicle automobile business, while also examining the role of knowledge management as a mediator. Employing a cross-sectional design, data for analysis were gathered using a questionnaire technique from managers and employees of six e-vehicle automobile industries in India. Despite distributing 500 questionnaires, the study received responses from 53 managers and 332 employees. Utilizing the PLS-SEM approach, the research reveals the positive influence of an entrepreneurial culture on technological innovation. Moreover, it highlights the partial mediation effect of knowledge management in the relationship between entrepreneurial culture and technology innovation. These findings carry substantial implications for businesses in the e-vehicle sector aiming to enhance their innovation capabilities by fostering an entrepreneurial culture and implementing effective knowledge management techniques.

ChatGPT: a game changer for knowledge management in organizations

PurposeGenerative AI and more specifically ChatGPT has brought a revolution in the lives of people by providing them with required knowledge that it has learnt from an exponentially large knowledge base. In this viewpoint, we are initiating the debate and offer the first step towards Generative AI based knowledge management systems in organizations.Design/methodology/approachThis study is a viewpoint and develops a conceptual foundation using existing literature on how ChatGPT can enhance the KM capability based on Nonaka’s SECI model. It further supports the concept by collecting data from a public sector univesity in Hong Kong to strenghten our argument of ChatGPT mediated knowledge management system.FindingsWe posit that all four processes, that is Socialization, Externalization, Combination and Internalization can significantly improve when integrated with ChatGPT. ChatGPT users are, in general, satisfied with the use of ChatGPT being capable of facilitating knowledge generation and flow in organizations.Research limitations/implicationsThe study provides a conceptual foundation to further the knowledge on how ChatGPT can be integrated within organizations to enhance the knowledge management capability of organizations. Further, it develops an understanding on how managers and executives can use ChatGPT for effective knowledge management through improving the four processes of Nonaka’s SECI model.Originality/valueThis is one of the earliest studies on the linkage of knowledge management with ChatGPT and lays a foundation for ChatGPT mediated knowledge management system in organizations.

A Conceptual Framework for Measuring Organizational Performance through Knowledge Management and Training

This paper proposes a comprehensive conceptual framework designed to evaluate organizational performance by integrating knowledge management (KM) strategies and training initiatives. In contemporary business environments, where knowledge serves as a primary asset, organizations increasingly recognize the critical role of effective knowledge management and training programs in enhancing performance. However, existing frameworks often lack holistic approaches that consider the interplay between these two vital components. Drawing upon theoretical insights from organizational theory, human resource management, and knowledge management literature, this framework synthesizes key dimensions and indicators essential for assessing organizational performance. The proposed framework incorporates elements such as knowledge creation, acquisition, dissemination, utilization, and retention, intertwined with tailored training interventions aimed at enhancing employee competencies and capabilities. By delineating these interconnected dimensions, the framework offers a systematic approach for organizations to evaluate the efficacy of their knowledge management and training initiatives in driving organizational performance. Furthermore, the framework provides a basis for future empirical research and practical applications in diverse organizational contexts, fostering a deeper understanding of the intricate dynamics between knowledge management, training, and organizational performance.

Proposed Knowledge Management System for the Time Efficient in R&D Department of PT Automotive Lumina

The automotive industry has grown post-Covid 19, positively impacting related sectors like car lighting. Due to high demand, PT Automotive Lumina, a lamp manufacturer specializing in OEM car lights, needs better time management. Responding to RFQs for new car models poses significant challenges due to delays caused by dependence on Juoku Technology. To tackle this, the company initiated an independent R&D process, but the need for more effective knowledge management worsens the situation, affecting competitiveness in a rapidly changing market. This research addresses two key questions: What Knowledge Management system can be proposed for time efficiency in the R&D Department of PT Automotive Lumina? and How to implement the suggested Knowledge Management system for time efficiency in the R&D Department of PT Automotive Lumina? Qualitative research methods were employed to study these questions, including interviews with key stakeholders. Analysis revealed eight sub-causes contributing to the observed problems, including a lack of skilled personnel, ineffective knowledge management, reliance on Juoku’s R&D schedule, rapid technological advancements, inefficient processes, limited decision-making authority, limited testing equipment in the R&D department, and most importantly, the absence of a knowledge management system. Several solutions to these challenges are presented based on the SECI, PPT framework, and Core, Advanced, and Innovative knowledge framework. Direct training, knowledge capture, and collaboration tools are among the planned knowledge management programs at PT Automotive Lumina. Preparation procedures were conducted in November and December 2023, with the proposed solution implementation set to begin in February 2024. Following deployment, knowledge management activities will be evaluated, and necessary modifications will be made for future improvements. PT Automotive Lumina aims to enhance time efficiency and support independent R&D through improved knowledge management procedures.

Leading Remote Organizations Strategies for Managing Effective Knowledge Sharing Within Teams

Remote teams have become an integral part of the operations of global organizations in an increasingly digital era. The complexities of knowledge sharing and management within teams were explored. A focus was placed on the leadership practices that influenced complexities. Using qualitative insights from participants, the importance of transformational leadership in fostering a culture of open communication, trust, and collaboration in remote settings was emphasized in the study. The findings indicated that hat leaders who showed transformational traits such as charisma, authenticity, intellectual stimulation, and individualized consideration enhanced knowledge-sharing within their teams. Leaders’ practices promoted knowledge sharing and positively impacted team productivity, job satisfaction, and retention. In remote work, transformational leadership was pivotal in ensuring effective knowledge management, underscoring its importance for contemporary organizations aiming for growth and innovation in a digital landscape.

Effect of Knowledge Management Practices on Organizational Performance in African SMEs

Abstract
 Purpose: The aim of the study was to investigate Effect of Knowledge Management Practices on Organizational Performance in African SMEs
 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: Knowledge Management (KM) practices have a positive impact on the performance of African Small and Medium-sized Enterprises (SMEs) by enhancing innovation, improving decision-making, and increasing customer satisfaction. However, challenges related to knowledge transfer and limited resources can hinder the full realization of KM benefits in these organizations. Cultivating a strong learning culture is crucial for continuous improvement. KM strategies must be adapted to the local context and cultural nuances of African countries to maximize their effectiveness.
 Unique Contribution to Theory, Practice and Policy: Resource-Based View (RBV) theory, social capital theory & dynamic capabilities theory may be used to anchor future studies on effect of knowledge management practices on organizational performance in African SMEs. SMEs in Africa should tailor their knowledge management practices to align with their unique organizational cultures, structures, and resource constraints. Governments in African countries should consider implementing policies that provide incentives, subsidies, or tax breaks to SMEs that adopt effective knowledge management practices.

Analysis of Dynamic Knowledge Graph Construction and Clustering for Effective Knowledge Management in Machine-to-Machine Communication

Analysis of Dynamic Knowledge Graph Construction and Clustering for Effective Knowledge Management in Machine-to-Machine Communication

Knowledge Management Practices and Job Satisfaction at DFCU Bank in Uganda

This study examines the relationship between knowledge management practices and Job Satisfaction at DFCU Bank in Uganda. The study is based on the firm's knowledge-based theory, which states that knowledge is a critical resource for organizations and that effective knowledge management can improve organizational performance. 150 employees from DFCU Bank were surveyed to gather data on knowledge management practices and employee performance levels. The results of the study indicate that there is a positive relationship between knowledge management practices and employee performance. Specifically, employees who reported higher levels of knowledge management practices also reported higher levels of employee performance.The study also identified the knowledge management practices that were most effective in improving Job Satisfaction at DFCU Bank. These practices include knowledge sharing, training and development, and communication.The findings of this study have important implications for organizations looking to improve employee performance. By implementing effective knowledge management practices, organizations can enhance employee performance, leading to improved organizational performance