Knowledge Management Technologies Research Articles

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.

Semantic Technologies in Knowledge Management

Purpose: The general objective of this study was to explore semantic technologies in knowledge management.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings reveal that there exists a contextual and methodological gap relating to semantic technologies in knowledge management. Preliminary empirical review revealed that these technologies hold significant potential for enhancing knowledge organization, retrieval, and utilization within organizations. While theoretical benefits were recognized, practical implementation faced challenges such as technical constraints, organizational resistance, and the need for alignment with organizational objectives. Despite these hurdles, the study emphasized the importance of overcoming barriers through comprehensive approaches involving technological solutions, organizational change management, and stakeholder engagement. Overall, the study highlighted the transformative potential of semantic technologies in knowledge management but underscored the necessity of addressing challenges to realize their full benefits.
 Unique Contribution to Theory, Practice and Policy: The Social Construction of Technology (SCOT) theory, Actor-Network Theory (ANT) and Resource-Based View (RBV) theory may be used to anchor future studies on semantic technologies. The study made several recommendations to enhance the adoption and utilization of semantic technologies. It suggested developing standardized ontologies, prioritizing user-centric design principles, and providing ongoing training to improve digital literacy among practitioners. Additionally, the study emphasized the importance of governance mechanisms for ensuring data quality, fostering collaborative networks for knowledge sharing, and embracing a culture of experimentation and adaptation. These recommendations aimed to address challenges such as interoperability, usability, and trustworthiness, ultimately enabling organizations to leverage semantic technologies more effectively in their knowledge management practices.

The Role of Semantic Web Technologies in Improving Knowledge Management Systems

Purpose: The general purpose of this study was to investigate the role of semantic web technologies in improving knowledge management systems.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings reveal that there exists a contextual and methodological gap relating to role of semantic web technologies in improving knowledge management systems. Preliminary empirical review revealed that that semantic web technologies significantly enhanced knowledge management systems across diverse industries, facilitating better organization, integration, and retrieval of knowledge resources. Adoption of these technologies addressed key challenges such as information overload and semantic heterogeneity, leading to increased discoverability, interoperability, and reuse of knowledge assets. However, successful implementation required considerations of factors like organizational readiness and user acceptance, necessitating investments in training, support, and change management strategies. Overall, semantic web technologies improved knowledge management practices and enhanced organizational competitiveness in the knowledge-driven economy.
 Unique Contribution to Theory, Practice and Policy: The Social Constructionism theory, Cognitive Load and Diffusion of Innovation may be used to anchor future studies on semantic web technologies. The study recommended that organizations invest in semantic web technologies for knowledge management, prioritize user-friendly KMS, foster a culture of collaboration, establish robust governance, and monitor KMS performance. These measures ensured effective knowledge sharing, decision-making, and innovation, enhancing organizational competitiveness and success.

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.

Relationship between knowledge management and information technology

The aim of this study was to identify the relationship between knowledge management and information technology. This is a bibliometric review and combinations of the following descriptors were tested: "knowledge management" and "information technology". The results show the fundamental role of Knowledge Management and IT in modern institutions, its importance in generating value through intangible assets and how IT is closely linked to KM, enabling its use in a broad and functional way. The research shows that there is still a need for reflection and further study, especially in view of new data handling technologies.

THE IMPACT OF APPLYING KNOWLEDGE MANAGEMENT IN LIGHT OF MODERN INFORMATION TECHNOLOGY

The current research tests the correlation and influence between knowledge management and modern information technology. The problem of the present study was the extent of the role of knowledge management in light of modern information technology at Al-Mustaqbal National University. The questionnaire form was used to collect data, the research sample was distributed, and the data was analyzed using the (SPSS) program. Several statistical methods were used to test the research hypotheses. The research reached several conclusions, the most important of which was (the relationship or no relationship) between knowledge management and modern information technology, and ended with a set of appropriate recommendations.

THE IMPACT OF APPLYING KNOWLEDGE MANAGEMENT IN LIGHT OF MODERN INFORMATION TECHNOLOGY STUDY OF ITS APPLICATION/AT ALMUSTAQBAL UNIVERSITY

The current research tests the correlation and influence between knowledge management and modern information technology. The problem of the present study was the extent of the role of knowledge management in light of modern information technology at Al-Mustaqbal National University. The questionnaire form was used to collect data, the research sample was distributed, and the data was analyzed using the (SPSS) program. Several statistical methods were used to test the research hypotheses. The research reached several conclusions, the most important of which was (the relationship or no relationship) between knowledge management and modern information technology, and ended with a set of appropriate recommendations.

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.

Hybridizing Technology Management and Knowledge Management to Spur Innovation: A System Dynamics Approach

The purpose of this research is to identify the drivers of innovativeness in a furniture manufacturing company. The scenario is the business environment where the hybridization of Technology Management (TM) and Knowledge Management (KM) is operative to promote innovation. The elements of the Technology Acceptance Model (TAM) and Socialization-Externalization-Internalization-Externalization (SECI) Model of KM have been modeled and used for simulation for the identification of the role played by the factors influencing the furniture design information conversion rate. The research follows the case study method to research as it draws data from a single company. Data from a multinational furniture manufacturing company that has over 10,000 products and operates in 24 countries have been used for simulation purposes. Results have shown that among the five factors that influence information conversion rate, the company should focus on correction efficiency and calculation efficiency enhancement if the aim is to maximize product and process innovations; and enhance contextualization efficiency if the priority is immediate results of innovativeness improvement. The results have also shown that about 615 innovative products and processes can be produced in six months by improving the correction efficiency to 80%. The theoretical implication of the study is in the form of a model which can be used by innovative companies to identify the critical factors that influence innovativeness, and the practical implications are in the form of suggestions to the managers of the furniture manufacturing company to enhance their innovativeness so as to gain competitive advantage in business.

Impact of Knowledge Management Strategies on Organizational Ambidexterity Mediated by Organizational Learning Capability

Background: This study intends to investigate the relationship between organizational ambidexterity and knowledge management practices, with a focus on travel and tourism industries specifically. The research is conducted using a descriptive-correlation approach and involves 72 businesses located in Qom, Mashhad, and Tehran. A total of 369 managers and personnel from these organizations participated in the study, providing valuable insights into the dynamics of knowledge management and its impact on organizational learning and ambidexterity within the tourism sector. Methods: In this study, descriptive-correlation research methodology was used. Data were collected through a questionnaire distributed to 369 managers and personnel from 72 tourism organizations. The questionnaire focused on assessing the participants' perspectives on knowledge management strategies, organizational learning capability, and organizational ambidexterity. This quantitative approach allowed for the examination of relationships and mediation effects within the specified variables. Findings: The results of the study show substantial correlation between organizational ambidexterity, learning ability, and knowledge management techniques. It was found to be fascinating that the relationship between organizational ambidexterity and knowledge management strategies in the tourism setting was partially mediated by organizational learning capacity. Conclusion: In conclusion, tourism companies should place a high priority on implementing both explicit and tacit knowledge management strategies in order to attain structural ambidexterity. Effective HRM procedures as well as the advancement of knowledge management and information technology infrastructures must serve as the cornerstones of these strategies. Encouraging learning, unlearning, relearning, experimentation, and knowledge sharing are pivotal for enhancing organizational learning capability and, consequently, achieving organizational ambidexterity. This study underscores the need for a holistic approach that integrates human and technological elements to foster a dynamic and adaptable organizational structure in the tourism sector.

Knowledge management in banking: A bibliometric literature review

This bibliometric study examines publication trends, influential works, authorship networks, conceptual themes, and future directions in knowledge management research within the banking sector over the past three decades. Data were collected from a total of 443 scholarly publications written in English and indexed in Scopus. The data collection period spanned from 1994 to 2023. Quantitative bibliometric analysis techniques were employed, which involved the use of temporal visualization to examine publication and citation patterns, mapping co-authorship networks, and clustering high-frequency keywords. The results suggest a consistent rise in research interest and output as time progresses. Influential publications have proposed various models and frameworks for knowledge management, risk analysis, and organizational change. The majority of prolific authors were primarily of European descent, and it is worth noting that the Journal of Knowledge Management held the position as the most influential publication venue. The core research focus encompassed various areas such as knowledge for competitive advantage, intellectual capital measurement, knowledge-performance links, customer relationship management, and knowledge management technologies. The research has evolved to encompass digital transformation, sustainability, automation, and analytics. Proposed future directions include an examination of the role of knowledge management in ensuring continuity during crises, the facilitation of risk management through knowledge systems, and the development of decision support based on knowledge. This study offers valuable insights into the development of knowledge management research in the banking sector, although it is limited to English sources in Scopus. Acknowledgment Expressing gratitude towards those who have contributed to the successful completion of a study has significant importance. In particular, it is crucial to extend appreciation to the individuals affiliated with the Ho Chi Minh University of Banking for their valuable support and assistance during the research endeavor.

How technological knowledge management capability compliments knowledge‐intensive human resource management practices to enhance team outcomes: A moderated mediation analysis

AbstractAlthough research establishes a link between knowledge‐intensive human resource (HR) practices (KIHRP) and knowledge‐intensive team (KIT) performance, knowledge is limited about the underlying mechanisms and boundary conditions that determine this relationship. This study integrates the ability–motivation–opportunity (AMO) framework and theory of team adaptation into an information processing perspective to present a cohesive model that explains the mediating role of team knowledge sharing and reflexivity processes, and moderation of organization's technological knowledge management (KM) capability to explain the effect of KIHRP on KIT performance. Data were collected in three waves and from three sources consisting of 380 knowledge workers from 123 teams in 74 organizations in Pakistan. The findings indicate that KIHRP relates positively to KIT performance directly as well as via team knowledge sharing and reflexivity processes where the organization's technological KM capability further strengthens this relationship.

Digitalization of business models, knowledge management and green technology innovation of Chinese manufacturing enterprises: a mixed analysis based on the Haier COSMOPlat ecosystem

ABSTRACT Under the wave of global digital development, deepening the digital application in the production process of traditional manufacturing enterprises and promoting the digitalization, networking, intelligence and ecological upgrading of business models of manufacturing enterprises have become an important starting point for countries to promote the ‘green sustainable development’ strategy. However, the mechanism of the digitalization of business models of traditional manufacturing enterprises on green technology innovation remains under-studied. In view of this, based on the Haier COSMOPlat business ecosystem, this paper adopts a mixed analysis method of case study and empirical research to study the digitalization of business models and green technology innovation in manufacturing enterprises. The results show that the digitalization of business models has a significant positive impact on the green technology innovation of manufacturing enterprises. In addition, knowledge-sharing level and knowledge-integration capability play a mediating role between the digitalization of business models and green innovation, of which the role of knowledge-integration capability is more obvious. This research conclusion has important theoretical value and practical guiding significance for traditional manufacturing enterprises to realize green technology innovation and sustainable development through the digitalization of business models.

Usage of AI in Sustainable Knowledge Management and Innovation Processes; Data Analytics in the Electricity Sector

Successful organisations prioritise product quality and customer satisfaction. Non-financial indicators are crucial for measuring performance, requiring specific financial and technology management knowledge. Effective knowledge management and entrepreneurial activity significantly impact performance, vital to the country’s economic factors. Electricity is crucial to society’s development. Renewable energy sources such as solar, wind, hydropower, and biomass can generate sustainable electricity. Managing environmental, social, and economic aspects is essential for sustainable societal and virtual development. In this study, the central element of novelty is associated with the dependent variable Nominal Labour Productivity per Employee. This research shows that effective knowledge management impacts a company’s business performance. Based on secondary data from various sources, we have used factor analysis to assess the interrelationship between the factors and econometric dimensionalities. Accompanied by this econometric approach, the research methodology aims to present hybrid models based on econometric techniques and artificial intelligence (AI) networks. Based on the principal component method analysis results, we show the interdependence of 30 variables in the micro and macro environment. The new components of the correlated variables show how knowledge and innovation are related to the economic performance of society, and nominal employee productivity is a valuable indicator for measuring economic efficiency. Nevertheless, AI, a knowledge management product, provides helpful comments on the econometric results.

Analysis of knowledge management process towards minimizing supply chain risks under the green technology: a direct and configurational approach.

Adopting green technologies is crucial for a sustainable supply process and organization development. In this construct, the current study analyzes how green technology adoption (GTA) and knowledge management (KM) processes could minimize supply risk in large manufacturing companies. The current study utilizes research techniques based on the resource-based view and contingency theories to minimize supply chain risk. The present study selected green variables (learning, productivity, raw materials, and resource utilization) along with KM processes (acquisition, sharing, and utilization) to investigate these connections to achieve the research objective. The author collected the data (203) from manufacturing firms in Zhengzhou city and used PLS-SEM, fuzzy set qualitative comparative analysis (fsQCA) to examine the study aims. The relationship between the adoption of green technologies and the KM process, which may reduce supply risk, was verified via PLS-SEM. fsQCA is employed as a combined strategy with green technology and the KM dimension to examine supply risk. The study results showed a significant correlation between the KM process's ability to reduce supply risk under the GTA. The results of the fsQCA specify the numerous dimensions of green implementation enablers, and the KM process produced superior results in terms of supply risk minimization. This research contributes to bridging gaps and understanding the interrelationship between green measurement and the supply risk process minimization. The current study provides practical and social justification for enlightening the relationship between GTA and the KM process, aiming to minimize the supply risk. Based on the study outcome and ground information, this study reported limitations and future research direction.

Evaluation chain management model with emphasis on intellectual capital using blockchain technology

Purpose: The main purpose of this paper is the evaluation of the chain management model with an emphasis on intellectual capital in knowledge-based organizations using blockchain technology. Research methodology: First, by reviewing previous studies and researches, the framework for readiness to accept blockchain was extracted. Then, the different areas of the value chain of knowledge-based organizations were identified. Then, a questionnaire for pairwise comparisons was distributed using a hierarchical approach. Finally, the TOPSIS questionnaire was distributed to rank the 5 identified areas of activity in the value chain and knowledge management of knowledge-based organizations. Semi-structured interviews with the organization's experts have been used to explain the promising methods in the organization further to improve the efficiency of blockchain acceptance and meaningful research orientations for researchers. Results: These findings include the undiscovered potential of knowledge sharing and collaboration networks, the expected evolutionary stages of the Internet of Things, and eliminating intermediaries that lead to new business models such as token building and short-term rather than long-term relationships. Obstacles include staffing problems, legal uncertainty, loss of infrastructure and standardization, and unclear governance structures. Improving smart contract security and interoperability between private and public protocols will further expand technolog Contribution: The application of blockchain technology in the field of knowledge and intellectual capital management, due to the promotion of key indicators such as improving security in the context of non-forgery, unchangeable information, tracking, decentralization, and transparency, leads to the application of this technology in knowledge and intellectual capital management.

Utilizing Knowledge Graph to Build a Scientific and Technological Knowledge Management System for Grid Industry

Abstract Based on knowledge mapping, this paper designs the application architecture of the scientific and technological knowledge management system for the power grid industry and proposes the design of key modules such as knowledge extraction, knowledge fusion and cross-checking. In terms of knowledge fusion, this paper proposes the functional design of conflict detection, entity alignment based on deep learning, data fusion based on linking and cross-validation based on confidence assessment. In terms of cross-truth, this paper investigates the credibility calculation of candidate message sets, the representation of candidate message sets, and the construction of logic rules for cross-truth models. Finally, this paper evaluates the system’s term extraction, concept recognition, and performance. The results show that the average elapsed time for each function of graph visualization, keyword search, keyword search, advanced search, and advanced search in the knowledge management system to be executed 20 times is 1.33s, 1.27s, 3.14s, 1.47s, and 3.26s, respectively, and the average response time is only 2.1s. Therefore, the knowledge management system for grid industry science and technology presented in this paper is effective.

Knowledge Society and Information Technologies in the 21st Century

The prosperity that gives greater credit to society, in terms of quality of life, is that which is based on knowledge. Information technologies (IT), particularly those applied in the field of education, play a crucial role in shaping innovative, creative and competitive actors in the contemporary global world. ‘The utilization of information and data, as well as the knowledge, skills, and talents present within communities, as well as their views, commitments, and motives for making wise judgments, are among the fundamental components of knowledge management’ (Stevenson-Perez, 2009, U.S. Patent Application No. 11/904,120). It has been argued by several eminent social scientists on this subject that organizational knowledge ought to be viewed as a strategic advantage. To solve issues and take advantage of opportunities, communities are being pushed to create effective and efficient means of assembling, identifying, capturing and distributing their collective knowledge and expertise. This understanding of the significance of doing so is developing. People all around the world are interested in putting knowledge management practices and technology into practice, and many of them have made knowledge management an essential component of their overall growth plans. Management of knowledge is becoming more and more crucial to the growth of the world economy. Organizations should not neglect knowledge management and developing technologies if they want to stay relevant in the current world.

The Role of Intrinsic Motivation in Online Teaching Systems: From the Collision of Knowledge Management and Information Technology

The Role of Intrinsic Motivation in Online Teaching Systems: From the Collision of Knowledge Management and Information Technology

The Strategic Alignment Maturity of Knowledge Management and Information Technology: Scale Development and Validation

The Strategic Alignment Maturity of Knowledge Management and Information Technology: Scale Development and Validation