Field Of Knowledge Management Research Articles

Knowledge Management: Any changes in the Research Agenda?

Knowledge Management: Any changes in the Research Agenda?

Doc‐KG: Unstructured documents to knowledge graph construction, identification and validation with Wikidata

AbstractThe exponential growth of textual data in the digital era underlines the pivotal role of Knowledge Graphs (KGs) in effectively storing, managing, and utilizing this vast reservoir of information. Despite the copious amounts of text available on the web, a significant portion remains unstructured, presenting a substantial barrier to the automatic construction and enrichment of KGs. To address this issue, we introduce an enhanced Doc‐KG model, a sophisticated approach designed to transform unstructured documents into structured knowledge by generating local KGs and mapping these to a target KG, such as Wikidata. Our model innovatively leverages syntactic information to extract entities and predicates efficiently, integrating them into triples with improved accuracy. Furthermore, the Doc‐KG model's performance surpasses existing methodologies by utilizing advanced algorithms for both the extraction of triples and their subsequent identification within Wikidata, employing Wikidata's Unified Resource Identifiers for precise mapping. This dual capability not only facilitates the construction of KGs directly from unstructured texts but also enhances the process of identifying triple mentions within Wikidata, marking a significant advancement in the domain. Our comprehensive evaluation, conducted using the renowned WebNLG benchmark dataset, reveals the Doc‐KG model's superior performance in triple extraction tasks, achieving an unprecedented accuracy rate of 86.64%. In the domain of triple identification, the model demonstrated exceptional efficacy by mapping 61.35% of the local KG to Wikidata, thereby contributing 38.65% of novel information for KG enrichment. A qualitative analysis based on a manually annotated dataset further confirms the model's excellence, outshining baseline methods in extracting high‐fidelity triples. This research embodies a novel contribution to the field of knowledge extraction and management, offering a robust framework for the semantic structuring of unstructured data and paving the way for the next generation of KGs.

The Practicing Degree by Basic Schools’ Principals in the North Region within the Green Line for Knowledge Management and its Relationship with Institutional Excellence

The study aimed to disclose the practicing degree among primary school principals in the North District within the Green Line for knowledge management and its relationship to the level of institutional excellence, through the use of the descriptive correlational metodology, and the questionnaire as a tool for collecting information after ensuring its validity and reliability, as it was applied to a simple random sample of (362) teachers. The main results of the study indicated a high degree of practice among primary school principals in the North District within the Green Line for knowledge management, and a high level of institutional excellence in those schools. The results also showed a positive a correlational relationship between the practice of knowledge management and the level of institutional excellence. The study recommended the involvement of experts in the field of knowledge management to train school cadres, and to deepen cooperation between the school and service recipients.

КОРПОРАТИВНЫЕ УНИВЕРСИТЕТЫ: ПРИОРИТЕТЫ УПРАВЛЕНИЯ, РЕШЕНИЯ, ПЕРСПЕКТИВЫ. ЧАСТЬ 1

The article presents an analytical review of the research of corporate universities as knowledge management institutions implementing strategies for the formation of intellectual capital based on the knowledge network, reveals the role of corporate universities in continuing professional education and training.
 The aim of the project is to systematize the theoretical results of relevant research, summarize the main conceptual solutions in the field of knowledge management, identify key priorities and promising strategies of corporate universities in Russia, China and other countries in this area.
 The main task is to determine the role of corporate universities in the implementation of the strategy of continuing education, in improving the quality of professional education and the formation of corporate culture within the framework of a comparative analysis of specific cases of knowledge management in corporate universities.
 Improving the quality of vocational education and solving the problems of continuing education is largely associated with the development of modern corporate universities and improving the quality of knowledge management.
 One of the advantages of corporate universities is their potential in ensuring the integration of corporate needs into higher education. In this regard, the role of knowledge management 
 is increasing as a way to implement the educational strategy of a corporate university, which involves achieving the goals of the organization by increasing intellectual capital as a decisive factor in the development of innovative systems.
 The tendency of corporate universities to go beyond the function of continuous learning as an additional component is revealed, in such a way that the function of continuous learning plays an increasingly important role in ensuring the development of organizations and institutions.
 The formation of a theoretical basis for the study of strategies of corporate universities in various countries in the field of knowledge management based on their comparative analysis 
 is becoming in demand.
 An analytical review of the scientific literature confirms the gradual formation of a special conceptual framework for knowledge management research in corporate universities around 
 the world.
 Methodology. The principles of the methodology of comparative analysis were used, qualitative analysis and theoretical generalization were carried out.

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.

Perceived climate of Cha-xu and trust on knowledge sharing: a moderated mediation model

Purpose This study aims to identify an antecedent that hinders knowledge sharing, namely, the perceived climate of Cha-xu. Based on the social exchange perspective, the authors propose a theoretical model that links the perceived climate of Cha-xu to employee knowledge sharing. This model focuses on the mediating role of two types of trust (vertical and horizontal trust) and the moderating role of task interdependence in influencing the mediation. Design/methodology/approach Using a sample of 509 Chinese employees, this study carried out a survey on an online platform. This study developed a structural equation model and tested the moderated mediation hypothesis by using Mplus 8.0. Findings The results showed that two types of trust act as mediators in the relationship between the perceived climate of Cha-xu and knowledge-sharing processes. The mediating effect of horizontal trust is stronger. Most significantly, findings show that this mediated relationship is contingent on the level of task interdependence. Originality/value This paper provides evidence for distinguishing vertical trust and horizontal trust in the field of knowledge management. From a managerial perspective, this study identifies traditional cultural factors for hindering knowledge-sharing processes within Chinese organizations.

The influence of supervisor bottom-line mentality on knowledge territorial behavior and knowledge sabotage behavior

Purpose Based on social cognitive theory, this study aims to explore the influence of supervisor bottom-line mentality (SBLM) on employee knowledge behavior (knowledge territorial behavior and knowledge sabotage behavior). The study first investigates the role of an ethical decision-making mechanism (moral disengagement) in mediating this relationship. In addition, it considers the possible boundary conditions to supplement research on the influence of SBLM in the knowledge management field. Design/methodology/approach The authors collected 256 data points from employees across three stages using convenience sampling. The authors then tested the proposed hypothesis using hierarchical regression and bootstrap methods. Findings The results demonstrated that SBLM promotes employees’ moral disengagement, leading to more knowledge territorial behavior and knowledge sabotage behavior. Furthermore, high power distance orientation among employees exacerbates the ill effects of SBLM according to the first stage of a moderated mediation model. Employees with such an orientation are more likely to respond to a SBLM by exhibiting a higher level of moral disengagement, thus increasing their knowledge territorial behavior and knowledge sabotage behavior. Originality/value Research on the influence of SBLM in the knowledge management field is limited. This study not only clarifies the relationships between SBLM and two types of knowledge behavior (knowledge territorial behavior and knowledge sabotage behavior) but also enriches the research on the antecedents of these two types of knowledge behavior.

Knowledge management positioning in the information science era: Bibliometric analysis for the time frame from 2000-2023

INTRODUCTION: To navigate the field of knowledge management (KM) for effective performance in data science, business intelligence, and database systems, all stakeholders, including academicians and professionals, must be informed of the recent state of practice and theory in KM. A detailed bibliometric study of publications can help with this problem by giving a comprehensive picture of the publications' trends and progression. From 2000 to 2023
 OBJECTIVES: To examine the pattern of publication in the area of knowledge management.
 METHODS: Two methodologies are employed to examine and interpret the bibliometric data acquired from the Scopus database. Citation and publication building evaluations were performed to gauge the emergence of the field of knowledge management, and secondly, VOS viewer software was used to simulate the projection of knowledge management grounded on bibliographic coupling (BC), co-citation, and co-occurrence (CC).
 RESULTS: The citation and publication structures indicate a steady improvement in the findings..

PREDICTIVE ANALYTICS IN HUMAN RESOURCES USING MACHINE LEARNING AND DATA MINING

Human resource management information systems (HRIS) are rapidly evolving as a result of today's technologies and global technological developments. With the digitalization of businesses, it is widely used in predictive applications in human resources (HR) and HRIS. HR and HRIS, better managing human resources data and making more accurate and reliable decisions are of critical importance for businesses. In this field, data mining and machine learning approaches are used to reveal meaningful relationships and trends between data in management decisions through predictive analysis. Both approaches are very important in the field of HR and are very effective for businesses to transform data sets into useful information. It helps businesses understand trends that can lead to more accurate and reliable business decisions by using analytical capabilities. Within the scope of this study, research was conducted on the use of the HRIS system with white-collar employees of a company in the automotive sector in Bursa. The cost, time saving and strategic impact of the human resources information system on the company and information technology infrastructure, its differences and relationships according to the department worked, age, gender and education level were investigated through statistics and data mining. Knime and SPSS Statistics programs, which are machine learning tools, were used in the research. HRIS results were evaluated and suggestions were made for future planning.

Actualization of cyber resilience and historical origins of the concept of "resilience"

In this article, cyber resilience is defined as the ability to withstand external shocks caused by cyber risks, recover from them, and adapt to them. The importance of building a cyber resilience system in modern conditions is emphasized and examples of emergency situations of cyberattacks are given. The need to ensure cyber resilience at facilities and institutions is considered, different types of threats aimed at different systems, as well as the consequences of their negative impact are highlighted.
 It is noted that resilience and risk management, although interrelated, are still different. Risk management involves quantitative risk assessment, which forms a decision on the most appropriate strategy for responding to them. Resilience is important when risk is incalculable, when hazardous conditions are a complete surprise, or when analytical risk parameters have proven ineffective.
 It is emphasized that at a fundamental level, there are certain disagreements about the true meaning of resilience: for some, it implies the ability of a system to withstand a shock and return to its initial state, while for others it is an evolutionary process leading to adaptation and a new state of balance.
 Resilience has a long and rich history in various fields of scientific knowledge, including ecology, psychology, and disaster management. One of its main advantages is that it allows complex systems to prepare for adverse events and continue to operate under extraordinary conditions. It is concluded that the "prevent and protect” paradigm, which is still dominant today, is insufficient, and that risk management tools need to be developed in the direction of cyber resilience.

The sectorial context of workplace learning

AbstractWorkplace learning is always embedded in a context. The purpose of this study is to compare the characteristics of workplace learning in the market, public and civil sectors with the tool of literature review, and to identify the most important contextual factors for learning practice and effectiveness. The article thus contributes to the scientific discourse in the field of knowledge management and workplace learning research. In the following study, drawing upon classic literature and current empirical research findings, the characteristics of workplace learning in various sectors are first outlined along the themes of knowledge management, knowledge sharing, innovation, organizational learning, the purpose of learning, and the most significant knowledge elements. Subsequently, the main differences are summarized. Finally, factors for the analysis of comparative research on workplace learning are proposed, spanning individual, individual and organizational, organizational, and organizational and system levels.

Towards an urban ecosystem model through a cross-cultural Chinese and greek knowledge analysis

PurposeIn the post-pandemic era urban ecosystem planning has become critically important. Given the emphasis on relevant issues concerning the complex interactions between human civilizations and natural systems within urban environments in the new normal, this article aims to enrich the field of knowledge management developing a cross-cultural analysis for clarifying the role of knowledge in planning and urban ecosystems.Design/methodology/approachThis paper is conceptual in nature. Based on a theoretical foundation built by a critical literature review and data from the China Statistical Yearbook and China’s National Bureau of Statistics, this paper introduces some emerging real-impact topics regarding the connections between humanistic knowledge and urban planning. A comparative analysis between the capital city of Chang’an in the Tang dynasty of China and the capital city of Athens in Ancient Greek was used for explaining the influence of knowledge on successful urban planning.FindingsThe understanding the role of cross-cultural differences in knowledge management and practices for urban ecosystems offer the opportunities for rethinking consolidated approach to the interaction among social, economic, and environmental dimensions in urban settings.Originality/valueThis paper implies a new inter-disciplinary research field of great interest for the real impact KM community by illuminating how knowledge management is central in urban planning and across cultures.

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.

Information as a circular resource – facilitating information exchange to extend product-life

PurposeThis paper aims to study a circular economy business model that offers services with embedded information exchange capabilities to extend product life through maintenance and repair. Information exchange has been identified as a critical factor in advancing the principles of a circular economy, and this research was conducted to illustrate how information exchange can facilitate maintenance and repair.Design/methodology/approachThe study has a case study approach of collecting data through semi-structured interviews and questionnaires.FindingsInformation exchange on what and when to do something engages end-users in maintenance and facilitates learning. For repair, the problem description and possible solutions are information that must be exchanged. Both types of information exchange are facilitated by simple tech solutions relying on known and inexpensive technology (e.g. e-mail service, video call and text messaging).Research limitations/implicationsThe study contributes to the organisational development and knowledge management fields with novel insights on how information exchange and circular economy are related and can be facilitated.Practical implicationsThe study provides insights for companies looking for solutions on how to generate revenue from services and reduce resource consumption. The findings of the study suggest that the development of circular business models does not always require expensive high-tech solutions.Originality/valueTo the best of the authors’ knowledge, this study is unique as it is empirically based on insights into how information exchange can extend product life through the use of simple digital tools.

Using Fractal Enterprise Modeling in Strategic Analysis with Focus on Intangibles: Empirical Study in Product Innovation

This article presents a new meta-modeling approach for intangible resources. The method combines Enterprise Modeling (EM) and the resource value innovation model from the knowledge management (KM) field. In particular, fractal enterprise modeling (FEM) language has been used for constructing the intangible resources’ level of development. The practical application of the proposed method deploys a real case example in the strategic analysis of the organizational change within the product innovation activities. The results imply that the proposed method has a good potential to incorporate the intangibles into EM. First, it has been possible to represent the intangible resources’ level of development. Second, the FEM models produced in the study have been useful in the analysis of how tacit knowledge is acquired and appropriated within the organization’s strategic capability building. The study resulted in producing modeling and analyzing patterns that can be reused in similar situations. The research followed the Design Science Research (DSR) methodology.

The Use of Personal Knowledge Management Initiatives by Teachers in Poland. Contribution to the Discussion

The article discusses the issues related to personal knowledge management (PKM) and initiatives undertaken in this area by a professional group of teachers. These issues are still insufficiently researched, and thus cognitively interesting and requiring further exploration. The aim of the study was to determine the level of teachers' initiative in the area of personal knowledge management, with reference to the relationships between the variables characterizing the surveyed teachers, such as: gender, age, seniority, type of educational institution and the position held. In the study, conducted by means of a diagnostic survey method among 169 professionally active teachers, the author's Questionnaire of Personal Knowledge Management Initiatives was used. The obtained research results were statistically analyzed using the PSPP program, Gnu General Public License Version 3. The data were processed using the ANOVA analysis of variance. The applied method of standard deviations showed that the largest group of the surveyed teachers presents an average level of initiative in the field of personal knowledge management. Based on the obtained results, it can also be concluded that: women, teachers with the longest seniority, from the oldest age group, holding managerial positions; employed in kindergartens and educational non-school institutions, are characterized by a higher level of initiative in the field of personal knowledge management. The obtained research results are of practical importance both for teachers and for the organizations in which they work. They may also contribute to the introduction of new solutions in the education of future teachers at the university level, as well as to the organization of training and workshops improving and developing personal knowledge management skills among professionally active teachers.

Unraveling complexity in changing mental health care towards person-centered care.

Mental health care (MHC) needs to shift towards person-centered care to better meet people's individual needs. Open Dialogue (OD) is well-aligned with this perspective and brings it into practice. This study focuses on exploring the change process within a pilot project involving three MHC teams as they transition to a person-centered OD practice. Our aim is to identify and reflect on the challenges faced by MHC professionals in adopting person-centered care, and shedding light on the underlying complexity of these challenges. By gaining a better understanding of these obstacles, we hope to contribute to the adoption of the person-centered approach in MHC practice. Our research employed a qualitative design, involving a total of 14 semi-structured interviews with MHC professionals who were either trained in OD, OD trainees, or MHC professionals without OD training. To analyze the data, we utilized a hybrid approach that combined deductive - and inductive thematic analysis. We identified four distinctive challenges: (1) understanding and knowledge transfer, (2) (inter)personal process, (3) emotional discomfort, and (4) the need for multi-stakeholder participation and support. In practice, these challenges intersect and the appearance of and relationships between these challenges are not linear or disentangleable. Upon careful consideration of these interdependent challenges, it became evident that embedding a person-centered approach like OD brings about systemic change, leading to an unfamiliar situation X. The research findings indicated that understanding and conveying the concept of person-centered care in practical settings poses significant challenges. The field of knowledge management helps to capture the complexity of understanding and transferring this knowledge. The change process necessitates an (inter)personal process and elicits emotional discomfort, as person-centered OD practice confronts a deeply entrenched paradigm in MHC. Achieving a shared understanding of person-centered care requires dedicated time and attention, while introducing this approach prompts broader discussions on underlying values and human rights in MHC. Current implementation efforts may underestimate or overlook these underlying values, but initiating an open dialogue can serve as an initial step in addressing the complexities.

Relatedness and Futureness: Key Pillars for Developing Knowledge-based Management for Sustainability

Recently, the field of Knowledge Management has seen some movements towards sustainability and more responsible business practices. Especially sustainability has become a hot topic for almost every organization. In this paper, we try to locate the concept of sustainability in the field of Knowledge Management. We argue that lived sustainability is built upon relatedness (the holistic understanding of interdependence and interconnectedness of complex systems) and futureness (adopting a long-term perspective for the management of organizations) that together promote sustainable organizing from the inside-out. We find that in particular two streams, Responsible Knowledge Management and Spiritual Knowledge Management, have taken up ideas that potentially lead to sustainable Knowledge-based Management. Those streams emphasize various forms of non-rational knowledge as a necessary, but previously underrepresented aspect of knowledge, as a counterpart to the instrumental-calculative rationality that has become predominant in the study of organizations and organizational knowledge.

Understanding Organizational Knowledge Loss (OKL): A Bibliometric Analysis

Purpose – Organizational knowledge loss (OKL) is an urgent problem in the field of knowledge management because it can have a negative impact on intellectual capital and leads to significant competitive disadvantages for the companies concerned. In academic research, this phenomenon is considered a consequence of knowledge risks, especially when experts possess valuable knowledge and leave a knowledge-intensive organization. However, a basic understanding of the conceptual structure of OKL remains elusive. Methodology – To address the existing knowledge gap, we conducted a bibliometric analysis based on a network and factor-oriented approach to identify the key themes, contexts, and patterns of OKL. For this purpose, we obtained bibliometric data from the Web of Science and the Scopus databases. Using the advanced bibliometrics package Biblioshiny in R, we conducted performance analysis and science mapping. Findings – Based on our four research questions, we present the following key findings: First, we find that annual science production in the field of OKL research over the period 2004 to 2023 peaks in 2022. Second, we found that absorptive capacity (AC) is increasingly becoming a central theme in OKL research. Third, the average citation rate per year for OKL research has declined noticeably since 2020. Fourth, the most influential publications in OKL research deal with AC in the context of strategic alliances. Research limitations – This study focuses solely on researching the conceptual structure and thus does not consider the intellectual and social structure of OKL. Practical implications – In view of the results obtained, we recommend that future research work should further investigate the relationship between OKL as a focus of organizational forgetting and AC as a learning ability in an innovation environment. Originality/value – This paper is insightful, as it reveals the conceptual structure and thematic evolution of OKL and directs research interest to the field of learning organizations.

Knowledge Management and Cryptocurrencies: review and reflection

In this paper we try to reflect on how one of the financial phenomena of the last twenty years, namely cryptocurrencies, has been analysed by the scientific community of the Knowledge Management (KM) field. The issue is relevant because the raise of cryptocurrencies as an economic asset has been occurring in a time in which KM gained social prominence. And also because the evolution of cryptocurrencies should be also related to knowledge about their own value. Within this context, we present a literature review on papers that exist in the SCOPUS database about cryptocurrencies and KM. After analysing those papers, the general idea is that KM is very far away from the cryptocurrency phenomenon; the reason may be that it is very difficult to use the more common models available on KM to analyse cryptocurrencies; also the economic and social agents that might be interested in KM are not those who invest in cryptocurrencies; finally, the data available on cryptocurrencies are mostly speculative, and it is very difficult to make any scientific study on them. These conclusions may be of interest for the KM community at large, because they indicate a new subfield of research, and for practitioners, because they mean that there is not much science in the evolution of cryptocurrencies themselves. Finally, for policymakers, the findings mean the expanding the possibility of use of cryptocurrencies in societies may be extremely risky given their volatility and the lack of precise scientific knowledge about them. The paper is original because it relates to concepts that have only very seldom and scarcely put together.