Knowledge Capitalization Research Articles

The Impact of Knowledge Management Practices on Organisational Performance: Case Study in a Public Organisation

This study delves into the strategic challenge of Knowledge Management (KM) in organisations, particularly in the public sector, and aims to identify the impact of KM practices on organisational performance. By examining the relationship between knowledge as a valuable resource for competitive advantage, the study identifies the factors that affect knowledge formalisation and preservation in organisations. The study surveyed several department heads from a public organisation to analyse the impact of KM practices, and found that practices such as knowledge capitalisation, formalisation, sharing and inventory have a positive effect on organisational performance. The study also sheds light on the importance of understanding the context and potential barriers to effective KM, particularly department heads’ reluctance to share knowledge due to concerns over losing power. The contribution of this study lies in bridging the gap between theory and practical context in KM practices and identifying the factors that affect organisational performance.

An ontology-driven model for hospital equipment maintenance management: a case study

Purpose This paper aims to establish an efficient maintenance management system tailored for healthcare facilities, recognizing the crucial role of medical equipment in providing timely and precise patient care.Design/methodology/approach The system is designed to function both as an information portal and a decision-support system. A knowledge-based approach is adopted centered on Semantic Web Technologies (SWTs), leveraging a customized ontology model for healthcare facilities’ knowledge capitalization. Semantic Web Rule Language (SWRL) is integrated to address decision-support aspects, including equipment criticality assessment, maintenance strategies selection and contracting policies assignment. Additionally, Semantic Query-enhanced Web Rule Language (SQWRL) is incorporated to streamline the retrieval of decision-support outcomes and other useful information from the system’s knowledge base. A real-life case study conducted at the University Hospital Center of Oran (Algeria) illustrates the applicability and effectiveness of the proposed approach.Findings Case study results reveal that 40% of processed equipment is highly critical, 40% is of medium criticality, and 20% is of negligible criticality. The system demonstrates significant efficacy in determining optimal maintenance strategies and contracting policies for the equipment, leveraging combined knowledge and data-driven inference. Overall, SWTs showcases substantial potential in addressing maintenance management challenges within healthcare facilities.Originality/value An innovative model for healthcare equipment maintenance management is introduced, incorporating ontology, SWRL and SQWRL, and providing efficient data integration, coordinated workflows and data-driven context-aware decisions, while maintaining optimal flexibility and cross-departmental interoperability, which gives it substantial potential for further development.

Proposal of a Knowledge Capitalization Process to Construct Eco-Diars : A Knowledge-driven Platform Applied to Traditional Algerian Domestic Architecture

This article is part of doctoral research that proposes to capitalize on the environmental knowledge drawn from traditional Algerian domestic architecture, supported by a knowledge-based platform . This research aims to (1) build a capital of knowledge related to traditional environmental devices (EDs) allowing to suggest them as “references” to propose conceptual solutions during the upstream phases of the architectural design, (2) support the Algerian government's policy of preservation and digitization of architectural heritage, and (3) support the government's policy of reducing energy consumption in the building sector. From this perspective, this article proposes an interactive knowledge capitalization process involving Information and Communication Technologies (ICTs) for the modeling, exploitation, and visualization of ED-related knowledge. This article will present the proposed process for knowledge capitalization leading to the development of the knowledge-driven platform Eco-Diars intended to enable designers to efficiently perform their queries related to traditional environmental devices.

AIDEN, a visualization tool in virtual reality for RDF graph

This paper presents AIDEN (Artificial Intelligence for Data Exploration and Navigation), a system based on virtual reality (VR) to provide an immersive and intuitive application for exploring, analyzing, and modifying RDF knowledge graphs in an interactive three-dimensional environment. The system aims to enhance knowledge capitalization and decision-support processes by helping user to navigate through complex RDF knowledge graphs in an intuitive manner. By facilitating the physical navigation of virtual space with its multi-modal interactions such as gestures, movements, and voice commands; AIDEN allows technical data readily accessible to non-experts. This immersive approach takes advantage of humans’ innate ability to interact with three-dimensional environments, thereby enhancing the user experience by reducing cognitive load while exploiting the potential of a third dimension for data visualization purposes. Two distinct knowledge graph representations have been designed to optimize navigation and user experience. The first type, the "overall view," is designed for pattern recognition and group identification. The second, called "immersive view," submerges the user into the graph for a more local perspective, enhancing the readability of individual node relationships. This paper discusses the design and implementation of AIDEN and explores its potential to improve the way to interact with complex data structures.

Knowledge capitalization and perceived fairness of reward in real estate sector: mediating role of shared leadership

Purpose The COVID-19 pandemic brought uncertain working patterns in a volatile, uncertain, complex and ambiguous world wherein unleashing power of knowledge became prototypical for real-time decision-making capacity of organizational workforce. Drawing from Vroom’s expectancy theory, this study aims to investigate whether shared leadership (SL) mediates the impact of perceived fairness of rewards (PFR) on knowledge capitalization (KC). Design/methodology/approach A survey of 484 employees in the Indian real estate industry was completed in two phases. Confirmatory factor analysis and structured equation model were applied for analysis and hypothesis testing. Findings PFR positively affected employee’s KC in Indian real estate industry. Also, SL partially mediated the effect of PFR on KC. Practical implications This study indicates the positive impact of PFR on employees’ KC and demonstrates position of SL for boosting its occurrence in organizations. Originality/value To the best of the authors’ knowledge, this paper is the first to investigate the mediating role of SL between relationship of PFR and KC of employees.

University scientific production: The case of the Universidad de Ciencias Aplicadas y Ambientales (Bogotá, Colombia)

The research and scientific production of Universidad de Ciencias Aplicadas y Ambientales U.D.C.A was analyzed based on the intellectual capital approach, global academic rankings, research, and scientific production in the last 40 years. The Scimago Graphica tool and the VOSviewer software were used for the bibliometric and content analysis of the scientific publications available in the Scopus database. The bibliometric analysis showed that there are 534scientific documents in the Scopus database, with at least one author affiliated with U.D.C.A. Of these, 84 % can be found in SciELO and 56 % on Publindex. Most documents (70 %) are in English, and 27 % are in Spanish. The citations of 7 articles account for 64.4 % (37,147) of the total citations. Authors with affiliation U.D.C.A have collaborated with researchers from 72 countries. Based on intellectual capital and scientific production, U.D.C.A is currently in model 2.0 and is transitioning towards model 3.0, drawn by three areas: Medicine, Environmental Sciences, and Veterinary. These areas have focused on inter-institutional cooperation, internationalization, regionalization, and globalization. However, they must incorporate business development, digital technologies, virtual learning, knowledge capitalization, and entrepreneurship. The other areas of knowledge need to reconsider the type and scope of research they develop to be relevant to the academic community and society.

Understanding the Triple Helix Model and Capitalization of Knowledge

This paper is a preliminary study of the Triple Helix (TH) Model that focuses on understanding the model from different perspectives following secondary research. The methodology used in this study is exploratory and descriptive in nature. Narrative review of previous literatures has been followed to understand the Triple Helix Model. Henry Etzkowitz and Loet Leydesdorff propounded a theory known as Triple Helix in connection with industry, university and government which has become a research hub. The Triple Helix is a spiral model of innovation that captures multiple reciprocal relationships at different points in the process of knowledge capitalization. Therefore, this is going to be popular not only in developed countries but also gradually becoming popular in developing countries. The question comes what is Triple Helix Model? What does the model reflects in the academia? The objective of this study is to understand Triple Helix Model on one side and the evolution of this model including its features on the other. This study examines how the Triple Helix Model has been popularized in the field of academia, industry, and government by focusing on knowledge, innovation, and entrepreneurship through education. This paper includes introduction, methodology, evolution of the Triple Helix Model, routes of the Triple Helix, knowledge production, knowledge and technology transfer, knowledge industries, capitalization of knowledge and innovation, the network society, collaboration, Triple Helix and academia, teaching, learning, and future universities. The Triple Helix Model is a neo-evolutionary model of possible synergies between functions such as wealth creation, knowledge production and government regulations, which are the three helixes.

Prospects and directions of digital transformation in foundry

The time of information technology determines its priorities, which are a prerequisite for building a competitive production and economy. The ubiquitous spread of digitalization is one of the basic principles of new economy, a new type of socio–economic structure that is gradually being formed in the modern world through the introduction of scientific and technological progress and innovative methods of management, intellectualization and capitalization of human knowledge, the use of advanced new information and material technologies, accelerated development of knowledge-intensive sectors of the economy, the formation of creative, efficient, rational information and material production. Currently, at large foundries with mass and large-scale production of castings, the task of automating the control of technological processes using digital control systems was solved in general. They implement algorithms for controlling technological processes of casting in closed circuits (locally). The systems under consideration allow to implement optimal control strategies and automatically perform sequences of operations (start and stop of equipment; calculation and input of metal charge; calculation of formulations, dosing and mixing of molding and core mixtures) of multi-stage periodic casting processes. Digital transformation can significantly change the established practice of foundry production (from direct control and management of technological processes to business planning and document management). The transformation will have an impact on all parameters of the enterprise: economic efficiency of production (productivity, operating costs); reliability (operational readiness); safety (number of incidents); compliance with legislative norms on ecology. The technological criterion for success of the digital transformation of foundry production will be the release of a nomenclature of castings with a minimum level of defect, commercial – the release of a nomenclature of castings in demand on the market (machine parts and mechanisms), with a minimum self-cost, which is determined by the technological level of preparation of the production and its implementation and, as a consequence, low costs and optimal quality of molds, metal and castings.

Impact of information and communications technology on the development and use of knowledge

The development and capitalisation of knowledge have been defining the features of economic development in recent decades. This global trend leads to a constant search for success factors in knowledge economies. The Global Knowledge Index (GKI) is the leading international indicator of the quality of knowledge capital and the ability to build effective knowledge economies. Using GKI as the primary research indicator fostering knowledge-based economies, we assessed the role of information and communications technology (ICT) factors in its formation. GKI depends on subjective assessments of the impact of ICT factors on the development and use of knowledge set by experts. Here, we evaluate the effect of elements that are subject to statistical reporting and, therefore, most objectively reflect existing ICT trends in enterprises. Using the method of correlation-regression analysis and data from EU countries, we estimated the relationship of seven selected factors in the formation of GKI, establishing that significant links exist with six of seven studied elements. The closest links are with the indicators ‘use of computers and the internet by employees’ and ‘enterprises with a website’. Additionally, continuing to test the hypothesis of a significant contribution of ICT to modern changes in the knowledge economy, we investigated their impact on GKI based on ICT development indicators assessed in the Network Readiness Index. The effect of this indicator is extremely high (R2 = 0.9287). Generally, the influence of ICT factors on knowledge development, and hence knowledge-based economies, allows one to identify the critical determinants of the success of leading countries. Our approach can be used to periodically monitor and select the most influential factors. Through reasonable efforts to stimulate the development of ICT, strengthening the role of such factors can make full use of current opportunities to create a knowledge-oriented economy.

B.F. Lomov in Modern Interdisciplinary Research

A number of examples of the development of B.F. Lomov’ ideas in research related to the most popular areas of psychological science and practice are presented. It is shown that many of the ideas are in the general trend of modern works. In particular, the integrative approach, built on the systems idea provides answers to many questions of the integration of qualitative and quantitative methods, which are now being discussed intensively in connection with the practical problems of organizing interdisciplinary research. Meanwhile, the development of the idea of system integration of different approaches and methods ensured the creation of a toolkit developed in detail and tested in many academic and applied research. The cognitive-communicative approach, the impetus for the development of which was the ideas of B.F. Lomov on the relationship between cognition and communication, found its embodiment in the development of the problem of joint activity and formed the basis for the implementation of numerous projects related, in particular, to the management of big technical systems and the procuring of scientific and organizational activities, including the creation of new information and communication technologies. The activity design paradigm continues to be in demand for the problems of interaction between man and modern technology and for solving issues of mismatch between the goals of developing new technologies and their use. Particularly relevant are the claims of the anthropocentric approach that any technology, including artificial intelligence, is a means of achieving the goals set by man. Modern research carried out in the activity design paradigm confirms the fruitfulness of this paradigm for progress in the field of creating promising technologies. These studies received a new perspective of their development in connection with the tasks of preserving and transferring cognitive experience in solving the problems of capitalization of knowledge and the preservation of human capital. By analogy with “activity design”, these tasks are interpreted as “designing the perceived quality” of experience.

Novel Approach for Generalizing the Process Chain of Optical Satellite Images Based on Knowledge Capitalisation

Optical remote sensing from satellites such as SPOT, Landsat, Sentinel2, Terra Modis, offers exceptional solutions for monitoring the earth’s surface. Indeed, these satellites deliver multi-source, multi-date images. These are Bigdata, voluminous, heterogeneous and their treatment are not only complex but also require a lot of time. Studies have been carried out on the formalization of experimental protocols in satellite image processing. Those propose automated processing chains. But, these solutions are specific and their reuse are not possible for other cases. Our reflection allows us to propose a new approach for generalizing the optical satellite image processing chains. This approach respects standards in knowledge capitalization. The objective is to ensure the interoperability to the use of optical satellite images. Metamodels for the generalization of processing chains, a method of execution, generalization rules and implementation prototypes have been developed. These results are obtained through theoretical analyses and also experiments on the processing of multidate, multisource optical satellite images applied in multisectoral domains. Thus, this research solves today’s interrogability problem in the processing of satellite images optical.

Revisiting online academic networks within the COVID-19 pandemic – From the intellectual capital of knowledge networks towards institutional knowledge capitalization

PurposeThe study sets out to explore the mediating role of intellectual capital (IC) dimensions (i.e. human, structural and relational) between scholars' affiliation to online academic networks and institutional knowledge capitalization. Online academic networks are tackled through the lens of knowledge networks which have been of primary importance for new relevant knowledge acquisition during the COVID-19 pandemic.Design/methodology/approachA questionnaire-based survey of 305 academics from 35 different countries was conducted from July to December 2021, employing a partial least squares structural equation modelling technique. The database was initially filtered to ensure the adequacy of the sample, and data were analyzed using the statistics software package SmartPLS 3.0.FindingsEvidence was brought forward that the proposed conceptual model accounted for 52.5% of the variance in institutional knowledge capitalization, the structural and relational capital availed by knowledge networks exerting strong positive influence on the dependent variable.Research limitations/implicationsThe study has both research and managerial implications in that it approaches a topical phenomenon, namely the capitalization of online academic networks in the COVID-19 context, which has dramatically altered the way that research and teaching are conducted worldwide.Originality/valueThe most important contribution of the paper resides in the comprehensive research model advanced which covers individual, organizational and network multifaced layers, starting with the personal and institutional motives to join a specialized network, continuing with the opportunities provided by knowledge networks in terms of intellectual capital harnessing, and ending with its influence on higher education organizations.

The evaluation of higher education policy to drive university entrepreneurial activities in information technology learning

This study discusses the role of university and industry in Indonesia’s higher education system, particularly in learning information technology and the related fields. Three data sources were used to collect information on learning practices, i.e., the higher education policies representing the government’s perspective, the knowledge capitalization practices representing the industry readiness to act as a joint provider of knowledge and skill with the university, and the perspectives of human learner as the subject of learning processes. The study proposes two-stage evaluation on higher education practices that consists of policy analysis and the evaluation of learning practices based on the model of learning system. The former is to map the higher education policy to the spectrum of university entrepreneurial activities, while the latter is the survey on learning practices participated by the industry, students, and alumni. Policy analysis identifies the blank spot on the activities of consulting, spin-off firm formation, and the creation of a technology park. The evaluation of learning practices shows that the university still becomes the dominant actors in the transfer of knowledge and skill, except for the fields of entrepreneurship and project management which the industry excels. These results indicate that university contributes primarily in growing the internal capacity of human resource, while the industry contribute in shaping the professional life. This study suggests that the practice of higher education in Indonesia requires a more aggressive strategy in triple helix relations to enable the achievement of knowledge society and knowledge economy by strengthening the whole spectrum of university entrepreneurial activities.

A crisis like no other: Disruptions of the Covid-19 pandemic in the neoliberal African higher education era

The Covid-19 pandemic has offered an opportune moment to assess the neoliberal tendencies in (South) African higher education. In critiquing neoliberal tendencies in higher education, this article proffers the thesis that university in (South) Africa perpetuates and entrenches neoliberalism as a Eurocentric canon, thereby shadowing the public good agenda of higher institutions of learning. The dawn of democracy in many African countries ushered in new thinking concerning higher education policy and practice. However, the Covid-19 pandemic has exposed the fact that African higher education has remained tethered to the former colonial powers’ whims, thereby maintaining the dominator-dominated relationship. We argue that the imposed Western-style education has produced an educated élite with Western values and entrepreneurial attitudes that pilot their states on the path to modernity through the capitalisation of knowledge. Subsequently, the Covid-19 pandemic has exposed deep inequalities in relation to access to African higher education. To that end, we conceptualise the predominance of neoliberal philosophy in African higher education as an instrument of keeping the public good idea of the African universities under surveillance. We provide theoretical evidence of how African universities are still suffering from colonisation of the mind decades after the attainment of political independence through complicit or sometimes implicit imbibing and embracing of the Euro-centred neoliberal philosophy under the guise of globalisation. We make a case for (South) African higher education to turn the tide to encompass locally relevant teaching and research with an eye on local needs in the context of Covid-19 pandemic. On the understanding that Covid-19 pandemic affected places differently, we argue that the deep underlying inequalities in African higher education were exposed.

NON-COGNITIVE CHARACTERISTICS OF HUMAN CAPITAL AND LIFE OUTCOMES

The modern theory of human capital no longer interprets education, professional qualifications, and work experience as the only sources of income and labor productivity. There is a growing interest in the research of non-cognitive characteristics of human capital, which represent the socio-psychological qualities of an individual that affect the capitalization of knowledge and skills. The author focuses on such non-cognitive characteristics of human capital as self-efficacy, resilience, and agency. The article aims to analyze the relationship between non-cognitive characteristics of human capital and indicators of individual achievement (economic and non-economic). Applied descriptive sociological research is conducted in accordance with the positivist paradigm. Frequency distributions, comparison of averages, and correlation method are used in data analysis. The sampling represents the working population of the region (n = 1 261). The results show that self-efficacy, resilience and agency are represented differently in various socio-demographic, professional and status groups, but these differences are small. Life results are statistically significantly correlated with the values of the indices of non-cognitive characteristics of human capital. Correlations between economic achievements (job satisfaction, professional fulfillment) are higher than correlations with non-economic achievements (life satisfaction, confidence in the future). The author concludes that individuals demonstrate not only higher subjective assessments of life achievements, but also have higher wages if they are more confident in their abilities when solving work tasks, persistent in achieving professional goals, and independent in their activity.

Higher Education System in Central Asia (On The Example of Kazakhstan)

Abstract: Reforming the national education system is a priority of public policy and guarantees development. In this regard, any state will give priority to policy in this regard. The complexity of the matter is that this policy does not always yield the expected results. But countries around the world are striving to implement effective higher education reforms. There is a similar trend in our region. In this article, we will focus on the higher education system in Kazakhstan. Zero Kazakhstani higher education is the most developed system in the Keywords: Kazakhstan, higher education, system, legal framework, achievements, challenges, higher education, program, reforms, region, public policy, global education, knowledge capitalization, bachelor, master, distance education.region.

Quality management systems of higher education (based on the example of the USA, Greatbritain, Norway and Finland)

At the present stage, Kazakhstan is in new socio-political, economic and international conditions caused by growing globalization. This determines, on the one hand, a significant impact on the development of the education system of Kazakhstan of world educational trends, on the other hand, the market nature of the national economy determines the inevitability of the impact of education in general, and educational services, in particular, on the country's economy and its development through the capitalization of knowledge. Currently, Kazakhstan's universities are developing in accordance with the trends that have developed in the world and domestic economy, among which globalization stands out. The modern Kazakh higher education is characterized by the desire to integrate into the world educational space. The purpose of this article is to study the international experience in managing the quality of higher education on the example of some European countries and the United States of America. The modern two models of quality management of higher education in the global educational space are characterized and the model of assessing the quality of higher education in Kazakhstan is determined. The article analyzes the Kazakh legislation in the field of state control and assessment of the quality of higher education. The best approaches to assessing the quality of higher education for the Kazakh higher education system have been identified, following the example of the foreign countries under consideration. To write the article such methods of research as analysis of legal acts and documents, case study, deduction and generalization were used.

Cognitive resources to promote exploration in agroecological systems design

CONTEXTTo support agroecological transition aimed at sharply reducing the use of synthetic inputs, agricultural systems must undergo in-depth change in which biological processes are enhanced with a view to providing ecosystem services. This transformation of the cropping systems requires design processes which should rely on the exploration of science-based and expert-based knowledge and of alternative solutions (divergence thinking), and on the tailoring of the solution to the situation at hand (convergent thinking). OBJECTIVEOur objective is to build, together with end users, cognitive resources structuring knowledge. These resources will then serve to guide users in the exploration of agroecological solutions that are both disruptive and tailored to the situation in which they will be implemented. METHODSBased on theoretical insights from Design Studies, we first proposed guidelines for building cognitive resources to support divergent and convergent thinking. Based on these guidelines, we built prototypes of cognitive resources, with specific knowledge structures adapted to design reasoning in agriculture: the function-based resource and the biology-based resource, to stimulate divergent thinking in the exploration process; and the experience-based resource to support both convergent and divergent thinking. We then conducted 12 user tests of these prototypes, with various targeted users (advisors, farmers, teachers, researchers) who were either designers of agroecological systems or contributors, eager to use actionable resources to share what they had learnt about innovative systems or their knowledge on ecological processes. We received feedback from the designers who had used the resources in context, and from the contributors who had developed cognitive resources using the suggested guidelines. RESULTS AND CONCLUSIONSOur findings highlight how the resources support agronomist-designers and facilitators in their activities during the exploration part of a design process, from the preparation of design workshops to the stimulation within workshops and the ex-post documentation of a collective exploration for its reuse by other designers. Contributors recognized that the suggested guidelines and prototypes would both help to build on existing knowledge and enable future reuse by designers. They also noted the completeness, the evidence and the value-laden nature of the content. We finally discussed how these cognitive resources could be collectively enriched by a community of practitioners with diverse expectations and values, sharing the common goal of designing agroecosystems conducive to agroecology. SIGNIFICANCEOur research contributes to a critical shift in knowledge capitalization (mixing science-based and experience-based knowledge) to support the design process of agroecosystems, involving various actors, including practitioners.

Knowledge capitalization in mechatronic collaborative design

In mechatronic collaborative design, there is a synergic integration of several expert domains, where heterogeneous knowledge needs to be shared. To address this challenge, ontology-based approaches are proposed as a solution to overtake this heterogeneity. However, dynamic exchange between design teams is overlooked. Consequently, parametric-based approaches are developed to use constraints and parameters consistently during collaborative design. The most valuable knowledge that needs to be capitalized, which we call crucial knowledge, is identified with informal solutions. Thus, a formal identification and extraction is required. In this paper, we propose a new methodology to formalize the interconnection between stakeholders and facilitate the extraction and capitalization of crucial knowledge during the collaboration, based on the mathematical theory ‘Category Theory’ (CT). Firstly, we present an overview of most used methods for crucial knowledge identification in the context of collaborative design as well as a brief review of CT basic concepts. Secondly, we propose a methodology to formally extract crucial knowledge based on some fundamental concepts of category theory. Finally, a case study is considered to validate the proposed methodology.

An Agent-Based Model-Driven Decision Support System for Assessment of Agricultural Vulnerability of Sugarcane Facing Climatic Change

In recent years, there have been significant changes in weather patterns, mainly caused by sharp increases in temperature, increases in carbon dioxide, and fluctuations in precipitation levels, negatively impacting agricultural production. Agricultural systems are characterized by being vulnerable to the variation of biophysical and socioeconomic factors involved in the development of agricultural activities. Agent-based models (ABMs) enable the study, analysis, and management of ecosystems through their ability to represent networks and their spatial nature. In this research, an ABM is developed to evaluate the behavior and determine the vulnerability in the sugarcane agricultural system; allowing the capitalization of knowledge through characteristics such as social ability and autonomy of the modeled agents through fuzzy logic and system dynamics. The methodology used includes information networks for a dynamic assessment of agricultural risk modeled by time series, system dynamics, uncertain parameters, and experience; which are developed in three stages: vulnerability indicators, crop vulnerability, and total system vulnerability. The development of ABM, a greater impact on the environmental contingency is noted due to the increase in greenhouse gas emissions and the exponential increase in extreme meteorological phenomena threatening the cultivation of sugarcane, making the agricultural sector more vulnerable and reducing the yield of the harvest.