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In the higher education institutions, they recognize the value of knowledge management (KM) in enhancing organizational performance and productivity. However, the current KM system faces challenges in adapting to modern issues and suffers from inefficient utilization. This paper aims to address these shortcomings by identifying the maturity level of KM using a digital capability maturity model (DCMM). To achieve this objective, data were collected through interviews, questionnaire surveys, and observations, and a descriptive data analysis method was employed. The study utilized the model's eight Business Transformation Management (BTM) disciplines to gain a comprehensive understanding and holistic analysis of digital transformation. The research findings revealed a defined maturity level (Level 3) of Effective Knowledge Worker Digital Capability. This suggests the need for strategic improvements to propel the institution towards a higher level of digital readiness. To elevate the KM maturity level, the paper recommends the development of a web-based Knowledge Management System (KMS) as a pilot project within the IT Operational department, before its potential company-wide implementation. The proposed KMS includes eight essential features, including document management, lessons learned, project management, announcements, schedules, FAQ page, and forum. This web based KMS promises to enhance knowledge sharing, collaboration, and accessibility. Beyond the specific institution studied, the research offers valuable insights for other organizations seeking to evaluate and improve their KM performance. By adopting the digital capability maturity model and considering the suggested features in the KMS, institutions can drive innovation and better adapt to the evolving landscape of knowledge management. Ultimately, this research contributes to the advancement of knowledge management theory and practice in higher education institutions, offering strategies to boost organizational agility and knowledge utilization. The findings can guide decision-makers in enhancing their KM strategies, ultimately leading to improved organizational outcomes and increased competitiveness in today's dynamic and rapidly changing environment. [ABSTRACT FROM AUTHOR]

This study is an interdisciplinary research that sought to explore knowledge loss risks interdependently in relation to the knowledge management (KM) and human resource management (HRM) disciplines in South African state-owned companies (SOCs). This study highlighted the significant role of knowledge-based HRM systems, which will naturally enhance the management capacity of tacit knowledge to mitigate risks and assist SOCs to deliver on a developmental mandate, as well as ensure their survival and the economic growth of developing nations. The paper aims to explore the connection between KM and HRM practices for the effective management of enterprise tacit knowledge loss risks using the SOCs of South Africa as a case. This study is a mixed methods research project, using the exploratory sequential design as a research strategy. Data were collected qualitatively through interviews with 20 purposively nominated human resource managers, and survey data was collected randomly from 25% (145 of the 585 responses) of the workers employed in SOCs. Qualitative data were analysed thematically using Atlas.ti and Statistical data were analysed using SAS and exploratory factor analysis. The relationship between HRM and KM practices in lessening the risks inherent in tacit knowledge loss, mainly from voluntary turnover, is underdeveloped in many South African SOCs. The study established that the role of HRM in supporting KM is limited and underdeveloped in many SOCs, largely because they are lagging in key structures and knowledge-centric cultures, behaviours and HRM practices to drive the effective management of company knowledge. This study assists HRM executives and KM practitioners to develop knowledge-driven HRM practices in order to mitigate risks from the loss of tacit knowledge, whilst ensuring sustained performance in public enterprises. The study and proposed strategies seek to influence the discourse, policies, practices and theories on KM and HRM praxis in companies to mitigate the risks associated with the loss of tacit knowledge. [ABSTRACT FROM AUTHOR]

Nowadays, knowledge is considered a key resource for organizations, crucial for obtaining long-term sustainable competitive. In line with this principle, many organizations are making efforts toward the implementation of knowledge management (KM) initiatives, recognizing that their competitive foundation lies in the effective way to capture, retain, store and share knowledge. Although companies are increasingly competing based on their ability to effectively manage knowledge, there are still numerous challenges for organizations that intend to implement a KM system. Thus, for a successful implementation of KM in organizations, it is crucial to understand which factors are critical for the effectiveness of KM processes and lead to competitive advantage. Although there are many studies related to critical success factors of KM, few bring together the CSFs in a systematic and extensive manner. This paper aims to have a comprehensive and up-todate view of the critical factors that lead to the success of KM implementations in organizations. Data was collected from a systematic literature review, using PRISMA flow diagram to summarize it. The critical success factors collected were standardized and categorized into categories and dimensions. In this sense, 25 categories of critical success factors were created and categorized in 4 dimensions: Organization, Technology, Knowledge and KM Capability, and External Influence. The results found suggest that factors related to the organization and people, such as the definition of a clear strategy, the definition of performance measures to evaluate and monitor the strategy, the involvement of top management, or even the organizational culture itself, represent some of the factors that have the most influence on the successful implementation of KM initiatives. With this research, it is expected to contribute from a theoretical perspective to the KM area through the compilation, categorization and classification of a set of critical success factors reported in the literature. From a practical perspective, the results of this study can help any organization, regardless of sector, supporting the preparation and improvement of strategies in this area. [ABSTRACT FROM AUTHOR]

As our dependency on ever-more complex, opaque, and ubiquitous information and communication technologies (ICTs) increases, ethical concerns about the development of those technologies are also rising. One approach to mitigate these concerns is to improve the maturity of the ICT profession through codification of its knowledge base and professional ethics. In this paper, some key theoretical approaches to ethics with a long-established tradition within Philosophy are explored and how these approaches may manifest in the codification of knowledge within ICT Bodies of Knowledge (BoKs) is discussed. BoKs provide a common vocabulary and knowledge inventory to aid communication and encourage shared values and practices, particularly in emerging professional areas such as the ICT profession. Thus, identifying and understanding how ethics are codified in ICT BoKs is important for maturing ICT professional practice in general, and more specifically, for the resolution of ethical concerns. This paper 1) explores considerations and approaches to how ethics are incorporated within ICT BoKs, and 2) conducts content analysis on how ethics are codified within the content structure of ICT Boks. It is found that theoretical ethical approaches are rarely explicated cited in BoKS though, in the more mature BoKs, the discussion of ethics does include consideration of most of the major philosophical approaches. The implications of how knowledge about ethics is described and integrated into the wider knowledge infrastructure of the ICT profession including curriculum guidelines and accreditation processes is discussed. In a wider contribution to the Knowledge Management discipline, potential lessons to increase maturity for other emerging professions through the development of BoKs are also outlined. [ABSTRACT FROM AUTHOR]

This paper investigates the effects of knowledge assets on firm's value. Developing knowledge assets has been gaining momentum in recent years under the lens and scope of knowledge management. However, there is an ongoing debate regarding the optimum level and combination of knowledge assets that would lead to firm's value maximization. The aim of this paper is to provide a resolution to this debate by investigating how knowledge assets affect firm's value and competitiveness in a real market context. By means of accounting indicators data, an examination is carried out on the identifiable knowledge assets derived from company annual reports. Consequently, the impact on firm's value over time is explored via multiple regression analysis using panel data. As a result, the optimal structure/balance between internal and external knowledge assets that lead to maximum market value is explored. The main findings show that knowledge assets generate greater firm value when they are coupled with complimentary assets. Additionally, externally acquired knowledge is equally important as knowledge which has been developed from internal research and development efforts. As a result, it is shown that an optimal balance between internal and external knowledge assets leads to greater firm value. Note that while similar studies tend to explore the impact of knowledge assets on various aspects, such as international and innovation performance, little has been done to investigate the impact of knowledge on the overall value of the firm. The presented study is not limited to product development, but it takes into consideration the capitalization of those products in the real market context. Thereby, managerial implications are explored, and suggestions are given on specific structures of knowledge assets that maximize organizational value. [ABSTRACT FROM AUTHOR]

Open innovation is a concept of collaboration of ideas, knowledge, and resources that originates from within the organization and involves external organizations. University-industry collaboration is a factor driving innovation and competitiveness. Most research on interactions between universities and industry concentrated on the industrial side meanwhile, universities, as knowledge producers, play a vital role in creating an open innovation ecosystem that encourages realizing innovations that benefit society. Therefore, the problem raised in this research is how university collaboration can support open innovation. This research aims to identify research trends, the latest technologies, and inter-university collaboration frameworks that can support open innovation. The methodology used is Kitchenham's Systematic Literature Review (SLR) and bibliometric. SLR consists of Identification Study, Selection Studies, Quality Assessment, Data Extraction and Study Synthesis. From the SLR stages, 21 papers published between 2019 and 2023 were obtained. Synthesis and additional literature review were carried out to identify trends, technologies, and frameworks related to the topic comprehensively. In terms of trend, based on the application bibliometric, it was found that there was an increase in the number of publications and the top list of open innovation journals. University collaboration in open innovation more frequently takes place in the UK, and the industries mostly involved are small-medium enterprises. Quantitative research methodology and data analyses, comprising of hypothesis test, regression test, and descriptive statistics, are mostly preferred. Meanwhile, descriptive data analysis is the most common means of qualitative data analysis. Numerous suggestions on topics for future research were also identified. In addition, data analysis using machine learning survival data is identified as a novelty among data analysis methods. Technology transfer and the use of digital platforms may support open innovation processes, and the use of blockchain technology may promote digital platforms development. Seven domains form the framework for university collaboration in open innovation, namely Social Behavior, People, Process, Organization, Environment, Technology, and Performance. The findings of trends, technologies, and frameworks in this research may serve as a foundation for research on similar topics, and the identified framework domains could serve as framework components that might be used by universities to collaborate with partners in implementing open innovation processes. The research have contributes to knowledge management theoretically and practically. Theoretically, open innovation can expand the knowledge base by supporting the concept that knowledge and expertise can be found outside organizational boundaries. Practically, it can enrich knowledge management practices by emphasizing the importance of utilizing digital platform technology in supporting knowledge management sourced from external knowledge and collaboration services in the open innovation process. [ABSTRACT FROM AUTHOR]

To survive in a rapidly changing and increasingly competitive global marketplace it is necessary for organisations to have access to accurate and timely information. The focus of this paper is to present Knowledge Management (KM) as an enabler for Customer Relationship Management (CRM), which in turn facilitates customer service excellence. The paper considers a large US print company as a case example of how customer relationship management has successfully been applied with a positive impact on customer service excellence. Understanding CRM to enhance growth and profitability is not only a priority for organisations, but a critical area for academic research. This paper presents empirical data from CRM implementation, which has been attributed to the companys' success, especially within the customer service department. Adopting KM principles to successfully build and develop core business practices, enhanced customer knowledge is used to deliver a superior service and product range to their customer base. Preliminary findings reveal that at the centre of the business success is the strong focus on their customer. The company identifies how strategically significant each customer is and focuses on knowledge about, for and from customers. Customer data is stored in IT-based systems and extracted and transformed into customer knowledge (as phase one of the CRM approach). Combining clean and focused data with human expertise (phase 2) has led to good KM practice. Lessons learnt from Company A highlight the never-ending focus on customers and the importance of having a strategic and operational business focus for CRM implementations. [ABSTRACT FROM AUTHOR]

Knowledge-based economy has recently gained an increasing attention in developed countries, however, understanding the main determinants of KBE development at a national level appeared to be neglected. Therefore, this paper tends to develop a conceptual model that addresses the main determinants of KBE development at a national level in which could accelerates the growth of national asset value and leads to national competitive position. Therefore, a systematic literature review was conducted to learn from advanced economies' practices in KBE development and highlight KBE main pillars, drivers, and process of KBE function. The review reveals that :(A) development of human capital and maintaining the value of knowledge asset are the ultimate function(s) of KBE, (B) Learning, education, ICT and innovation are the main pillars of KBE, (C) knowledge management is the process underpinning KBE function, and (D) beliefs and intentions are the main endogenous drivers of individual's commitment to KBE ultimate functions. The findings show that the determinants of KBE development at a national level are: (1) the consideration of KBE characteristics, (2) the consideration of country position, and (3) the consideration of effective knowledge management process that acknowledges KBE function(s), however the cognitive leadership is the enabler to achieve KBE ultimate function via its main determinants. The conceptual model proposed in this paper outlines KBE main determinants and enabler to guide practitioners and decision makers in developing KBE framework at a national level. [ABSTRACT FROM AUTHOR]

In today's competitive business market, Small and Medium Enterprises (SMEs) are seeking to adopt supporting tools in order to survive. Many large organizations have been successfully implementing Knowledge Management with productivity and efficiency gains cited. SME's on the other hand are less familiar with this practice with fewer published studies of Knowledge Management focusing on SMEs. Studies which draw global comparisons of Knowledge Management practices in SME's are particularly rare. The aim of this study is to identify and investigate similarities and differences in Knowledge Management practice between SMEs in UK and Thailand within the manufacturing sector. The objective being to better understand and facilitate the transfer of good practice and lessons between the two countries. Questionnaires investigating Knowledge Management practice have been developed and distributed to SMEs in the Manufacturing Sector across the UK and Thailand. This paper reports on the responses of a total of 384 questionnaires from 36 manufacturing companies from the UK and Thailand. The study covers a range of manufacturing sectors including food and beverage, automotive and aerospace industries etc. Findings are reported from each of the two countries followed by a comparative statistical analysis of the similarities and differences. The results show a significant difference between the numbers of manufacturing SME's that have implemented a formal knowledge management approach. With significantly more Thai organisations reporting the adoption of formal knowledge management approaches. Similarities exist in the encouragement given to employees for knowledge management activities. Significant difference exists in the barriers that the UK and Thai organisations face in capturing knowledge. The results have the potential to gain improvements and competitive advantage through understanding how knowledge management is influenced by geographic and cultural differences and the transfer of lessons and good practice between Thailand and the UK. [ABSTRACT FROM AUTHOR]

Revenue and production output of the United Kingdom's Aerospace Industry (AI) is growing year on year and the need to develop new products and innovative enhancements to existing ranges is creating a critical need for the increased utilisation and sharing of employee knowledge. The capture of employee knowledge within the UK's AI is vital if it is to retain its pre-eminent position in the global marketplace. Crowdsourcing, as a collaborative problem solving activity, allows employees to capture explicit knowledge from colleagues and teams and also offers the potential to extract previously unknown tacit knowledge in a less formal virtual environment. By using micro-blogging as a mechanism, a conceptual framework is proposed to illustrate how companies operating in the AI may improve the capture of employee knowledge to address production-related problems through the use of crowdsourcing. Subsequently, the framework has been set against the background of the product development process proposed by Maylor in 1996 and illustrates how micro-blogging may be used to crowdsource ideas and solutions during product development. Initial validation of the proposed framework is reported, using a focus group of 10 key actors from the collaborating organisation, identifying the perceived advantages, disadvantages and concerns of the framework; results indicate that the activity of micro-blogging for crowdsourcing knowledge relating to product development issues would be most beneficial during product conceptualisation due to the requirement for successful innovation. [ABSTRACT FROM AUTHOR]

The main purpose of this research paper is to understand how artificial intelligence and machine learning applied to human behaviour has been treated, both theoretically and empirically, over the last twenty years, regarding predictive analytics and human organizational behaviour analysis. To achieve this goal, the authors performed a systematic literature review, as proposed by Tranfield, Denyer and Smart (2003), on selected databases and followed the PRISMA framework (Preferred Reporting Items for Systematic reviews and Meta-Analyses). The method is particularly suited for assessing emerging trends within multiple disciplines and therefore deemed the most suitable method for the purposes of this paper, which intends to survey and select papers according to their contribute towards theory building. By mapping what is known, this review will lay the groundwork, providing a timely insight into the current state of research on human organisational behaviour and its applications. A total of 17795 papers resulted from the application of the search equations. The papers' abstracts were screened according to the inclusion / exclusion criterions which resulted in 199 papers for analysis. The authors have analysed the papers through VOSviewer software and R programming statistical computing software. This review showed that 60% of the research undertaken in the field has been done in the last three and a half years and there is no prominent author or academic journal, showing the emergence and the novelty of this research. The other key finds of the research relate to the evolution of the concept, from data-driven (hard) towards emotions-driven (soft) organisations. [ABSTRACT FROM AUTHOR]

The purpose of this research study was to examine the correlation, if any, between knowledge and performance management and associated strategies employed by today's organizations to increase stakeholder and shareholder value.: Each strategy was individually examined using the quantitative causal method research design in order to examine the relationship/correlation of the level of knowledge and performance activities within participant organizations, and then collaboratively examine their inter-relations. The independent variables and the dependent variables vary in each correlation research questions. The findings endorsed that effective use of organizational explicit knowledge and efficient performance are practices worth doing. Correlations between knowledge and performance and innovation and value added were found to be relatively strong. A moderately strong predictive correlation between effective implementation of knowledge strategy and performance was also found and presented, and similar findings showing a moderately strong predictive correlation between effective implementation of performance strategy and innovation are also established and shown.: Organizations can increase and create vital added value to both stakeholders and shareholder members by implementing effectively a holistic approach as an integrated part of routine practices that enhances knowledge creation and exceptional performance, which will contribute to superior results - tangible and intangible ones. The practical implications of this research will contribute to the academic discipline of knowledge and performance management. Paper relevance: This paper will contribute to the debate regarding the linking of knowledge and performance management. Further, this paper will contribute to the in-depth analysis/discussion of the importance of knowledge in innovation and velocity management. [ABSTRACT FROM AUTHOR]

Knowledge is becoming a paramount resource of innovation economies. The efficient management of generation, use, accumulation and transfer of knowledge within a non-linear innovation process plays a critical role in economic growth. Knowledge geography registers the uneven landscape of the national innovation system and captures the key excellence clusters at different hierarchical levels - from local nodes to cities and regions. While the spatial patterns of knowledge commercialization are primarily considered via production processes at the regional level (regional innovation systems, regional innovation clusters), knowledge generation has to be monitored and assessed at the level of cities. Urban settlements accommodate communities of people and a population of firms that form unique configurations of innovation ecosystems that sculpture the intellectual capital of regions and states. This paper presents the distribution of knowledge-generating centres in Russia by undertaking an in-depth evaluation of bibliometric data for 440 settlements across the country for a period of 2013-2017. Methods of spatial scientometrics enable to register the intellectual capital accumulated in a certain locality and analyse development trajectories of urban settlements. Russia is an interesting case of studying the spatial patterns of knowledge generation. The large territorial extent of the country, the remoteness of individual cities from each other, their heterogeneity in size, level of development, and knowledge specialization makes it a highly diverse context. Research results suggest that knowledge domain characteristics are formed irrespective of the population figures, whereas the development dynamics of small and medium-sized cities are specific. Smaller cities strive to be integrated into inter-regional and international collaboration in order to overcome the shortage of local resources. A limited gross volume of research output generated by small and medium-sized cities creates extreme indicator values as compared to the major cities and the national average. The study concludes with a typology of cities taking into account the specific features of knowledge generation dynamics. [ABSTRACT FROM AUTHOR]

The use of Enterprise Social Networks (ESNs) as knowledge management tools has been widely investigated in case of big organizations, while there is little knowledge about advantages and possible implementation problems in small and medium-sized enterprises. To fill this gap, the paper analyses the case of adoption and use of the Yammer platform by a medium-sized Italian company. Yammer is an ESN service platform owned by Microsoft which includes several Web 2.0 features and whose interface resembles a typical public social network like Facebook. The research applied a quantitative approach: a questionnaire was submitted to all users of the ESN platform in the company between January and February 2017, with a response rate of 41%. The study contributes to the literature on social media as KM tools, by providing insights into the possible barriers that can undermine the success of ESN platforms as KM tools in the context of mediumsized enterprises. Specifically, it highlights that two factors (intrinsically connected to the size of the company) are particularly crucial: the limited number of users, and a sort of naive ("me-too") implementation strategy. An important lesson is that the success of ESNs in medium-sized enterprise is influenced by personal (individual) and organizational factors, even more than technical ones. Especially, the need to reach a minimum critical mass of users can be a challenge. A limitation of the study is that it investigated only one company operating in a sector with specific knowledge needs and capabilities. [ABSTRACT FROM AUTHOR]

Knowledge management (KM) is founded on an underlying assumption that better management of knowledge assets will lead to more competitive success, including better financial performance. Demonstrating that relationship has always been a core concern of the discipline. KM scholarship has demonstrated that differences exist in knowledge assets, requiring different approaches for successfully exploiting them. With the growth of use of other intangibles such as big data systems and business analytics/intelligence, the strategic choices have become even more complex. Everything from expensive information technology-based KM systems to communities of practice, from data monitoring to predictive analytics might be appropriate in a given scenario. Metrics have developed to assess these different competitive situations, giving us a general idea of the levels of data, explicit knowledge, tacit knowledge, and intelligence in any given industry. The methodology and results have been extensively covered in other work and so will not be repeated here. But this paper starts from those established quantitative metrics. Thus, we know that industries such as pharmaceuticals require competence in managing all intangibles. Others, such as financial services, seem to develop very little knowledge even though big data and intelligence levels are very high. Alternatively, branded consumer goods often have high levels of knowledge but little intelligence. We can speculate on where particularly high intangible asset development, specifically in which particular areas (e.g. operations, marketing relationships, R&D). What we don't have is empirical evidence to back up such speculation. If the key competitive requirement, leading to better financial performance, is highly developed knowledge in operations, can we provide some data to support that conclusion? This paper will explore some additional metrics (key personnel, brand equity, social media sentiment), seeking to add to our more specific explanations about how and where intangibles matter. The point is to develop some more precise, more objective metrics allowing a deeper look inside organizations. If so, we can gain a better understanding how intangible assets, especially knowledge, contribute to competitiveness. [ABSTRACT FROM AUTHOR]

The growth and penetration of Internet across developing countries has led to availability of a plethora of ICT applications. Quite often, potential users of these applications hold varying perceptions, both negative and positive, in respect of potential usefulness. This in turn, results into variations in adoption outcomes. The extant literature posits that 80% of user perceptions are negative while only 20% of their perceptions towards available ICT application are positive. The negative perceptions inevitably results in low adoption or at times even non-adoption of applications, which then remain under or un-utilized. This paper reports on a participatory action research study, which explores how ICT application adoption may be enhanced through 'empathetic participatory design' as a method for creating knowledge that may have meaningful application utility. This is achieved through user behavioural simulation. The main mode of data collection and analysis was the repertory grid technique used to elicit constructs from simulated prototyped elements of a selection of applications. In this paper, the knowledge creation process involves the use of design scenarios and use-cases from the typical users' point of view during co-problem discovery and scoping in respect of problems identified by the user community. The findings of this paper reveal that a co-design approach results in reflective experiences, that create a hybridity of knowledge which is both tacit and explicit, reciprocating each other to enrich the design outcomes of the applications. We argue that knowledge is not only a belief of knowing and thinking but rather has the ability to be transformed into real action. The paper posits that tacit and explicit forms of knowledge are inextricably linked and that knowledge is created and expanded through social interaction between tacit knowledge and explicit knowledge using modes and methods of 'knowledge conversion'. [ABSTRACT FROM AUTHOR]

As cities and regions transform from an industrial to a knowledge economy, there is a need to build new working relationships among academic, business communities, labor and workforce, civil society, and the technology sector -- to create Knowledge Cities. A Knowledge City values all kinds of knowledge, is grounded in an economy that runs on knowledge and intellectual capital, and encourages knowledge markets and transactions. The 21st century knowledge economy is dependent upon knowledge cities and regions, representing a major shift from the industrial economy. Transforming an industrial city to a Knowledge City is not a trivial task. It requires that all members of the society make the transition together. Currently, there are no institutions that can facilitate this role. This paper considers how a Knowledge Sciences Center might fulfill that role, and reports on the thoughts of over 200 participants of the Knowledge Sciences Symposium held in Canton, Ohio, and Washington DC in 2013. The paper also references recent initiatives to establish Knowledge Sciences Centers in the Eastern and Midwest regions of the United States. The role of a transformational leader in establishing a Center is also highlighted. [ABSTRACT FROM AUTHOR]

Traditionally, the fields of knowledge management (KM), intellectual capital (IC) and project management (PM) have been studied separately. More recently, scholars have started to call for convergence between these disciplines in order to broaden research interests and opportunities in academia and enhance their value to practice. Following the current trend, the purpose of this paper is to propose a new conceptual model that merges elements of knowledge management (KM), intellectual capital (IC) and project management (PM) and thus connects dynamic (KM), static (IC) and performance (PM) aspects of project-based organisations. It is expected that the proposed model will serve as a valuable theoretical basis for future empirical research of modern knowledge organisations. [ABSTRACT FROM AUTHOR]

Knowledge sharing research is growing in Latin America. Most instruments used to measure employees' knowledge sharing activities have been developed in the Anglo-American language (English). Currently there is no instrument available to measure the knowledge-sharing construct in Spanish. The purpose of this paper is to present the results of the research process adopted to design, construct and validate such an instrument in the Spanish language. The validation process was conducted with 228 knowledge workers in Colombia. The instrument has two components. The first part (32 items) evaluates the different ways in which knowledge is shared in an organization. The second part (24 items) evaluates the different tools used in an organization to share knowledge. The validation process is structured in three steps: the construction of the items following a review of the literature, psychometric validation, and the statistical verification of the instrument's sub-scales. Four categories of types of knowledge and four categories of knowledge sharing techniques are identified. The results of this research contribute to the understanding of a broader perspective of the measurement of knowledge sharing behaviour and enable the measurement of this construct in Spanish. Many of the current instruments are very short and do not consider categories of knowledge sharing, neither tools people use to share knowledge. It is expected that the instrument will become a referent to the measurement of knowledge sharing in Spanish speaking countries. It is recommended the translation into English and the validation process of the instrument with an English speaking sample. [ABSTRACT FROM AUTHOR]

The paper investigates the process of evolutionary transformation of cooperation and integration modes of industrial and construction enterprises in St.-Petersburg. The period of research (1995-2015) covered three crises in the Russian economy: the crisis after the default of 1998-1999, the global financial crisis of 2008-2009, and the current crisis of 2014-2015. The results obtained enable us to analyze the evolution of the intellectual capital management system in networks, as well as the evolution of networks themselves during changes in the business environment. The network form of integration was chosen as the main object of this research. The paper is aimed at identifying the path of knowledge management development in different types of networks. One of the peculiarities of the network form of integration is the high level of independence of the network participants that interact with each other. Key issues in this cooperation would be the following: How to organize an effective transfer of knowledge and technologies within a network? How to find a balance between open systems of innovation and the protection of the intellectual property of network participants? How to evaluate the intellectual capital of a network? Is it necessary to make an assessment for each participant separately? Should one take into account synergies that increase the value of the intellectual capital because of the network participants' interaction and knowledge sharing? How to increase competitiveness of each company and of the whole network by the effective use of the intellectual capital? How to measure the impact of open innovations on the intellectual capital of the companies interacting within a network? Thus, it is important to reveal how knowledge management system is developing within a network of inter-related enterprises. On the base of interviews of top-managers of companies in industrial and construction companies there were identified five different types of networks and knowledge management systems within these types. It is demonstrated how the knowledge management model is growing and becoming mature from the amorphous type of network cooperation to the integrated type. [ABSTRACT FROM AUTHOR]

As a tool of Knowledge Management, knowledge cartography is used, in this paper, to enhance knowledge identification, sharing, representation and visualization in a healthcare organization as well as to deliver healthcare services and improve communication between healthcare professionals. The Know-How and Knowing-That concepts are used, in this paper, instead of the knowledge concept. Know-How is defined as the capacity to perform an action and Knowing-That is defined as a belief state related to a description which can be factual or prescriptive. For the construction of Know-How and Knowing-That cartography, a knowledge cartography methodology is proposed. It is composed of three steps: (i) identifying the concepts to visualize, (ii) identifying the graphical elements and (iii) choosing the cartography technique. This cartography is experimented in the ASHMS (Association of Protection of Motor Disabled of Sfax) to facilitate Know-How and Knowing-That identification, characterization and visualization. [ABSTRACT FROM AUTHOR]

This paper explores the extent to which small medium Architecture, Engineering and Construction firms (AEC) in the construction sector implement knowledge management (KM) approaches. Using data from semi-structured interviews of twenty-eight AEC firms operating in the construction sector, KM needs and challenges are analyzed and discussed. Breakdown of SME's into micro, small and medium sub-categories reveals that the management of, in particular, tacit knowledge becomes complicated as firms grow in size. Results show that microenterprises to a great degree do not experience problems in the effective management of knowledge due to the organizational context where owner managers retain total control of the business. The most significant problem areas in the small and medium categories, on the other hand, emerge during conversion of tacit knowledge into explicit, followed by the unorganized storing of digital folders by employees and in accommodating heavy e-mail traffic. Thus, best practices aligned with the needs of firm size are recommended. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to analyse if knowledge management maturity models can be applied in corporate practice. So far, empirical studies have mainly examined the influence of knowledge management (KM) on innovation and have identified KM success factors. The underlying assumption is that more KM leads to more innovation and an improved corporate success. Therefore, a thorough KM application is recommended. Little attention has been paid to the question which level of KM application is effective and efficient for a company. This paper tries to close this gap using the concept of KM maturity. It investigates if different KM maturity levels can be identified in corporate practice and in how far they are influenced by specific factors, e.g. company size. To answer the research questions, exploratory case studies were conducted through semi-structured qualitative interviews with representatives from ten northern German companies.The results show that the practical applicability of KM maturity models (KMMM) is still limited. None of the companies can be categorized to have a high KM maturity level despite their multiple use of KM tools. As influence factors the size of a company and an externally certified quality management were identified. To validate these findings an additional online survey was conducted with 79 participants. The results of this survey support the general statements above, but also show a significant relation with the KMM level and employees' participation in knowledge management and the innovation success of a company compared to its main competitor. The paper contributes to the understanding of KM maturity and its influence factors and thus provides the foundation for further empirical research. Moreover, the findings help organisations to position their KM efforts. [ABSTRACT FROM AUTHOR]

The Electronic Journal of Knowledge Management (EJKM) published an editorial discussing the state of the journal in 2024. The editors reported that they received 84 submissions in 2023, with 14 accepted and 74 declined. The acceptance rate remained relatively constant at 9%. The journal published three issues in 2023, featuring articles from contributors around the world. The editors provided guidance for future submissions, emphasizing the importance of explicit connections to knowledge management and thorough explanations in papers using methodologies such as structural equation modeling and bibliometric studies. They also encouraged the submission of quality case studies and announced a special issue on knowledge management in South and Central America. The editors expressed their gratitude for the support and looked forward to refining the review process in the future. [Extracted from the article]

The Intelligent Learning Ecosystem (ILE) integrates all forms of intangible assets, recognizing not only tacit and explicit knowledge, but also big data and analytics/intelligence within and across organizations. The ILE structure provides a system for dynamic learning through the synthesis and analysis of intangible assets, creating decision-impacting intelligence across the organization and its partners. Here we extend our understanding of how this ecosystem works by also considering the learning dynamics of individuals and teams. As such, the ILE not only facilitates organizational and partner learning but also leverages the positive impact of intangibles management on employee development, team sophistication and company competitiveness. Consequently, this paper studies the place of knowledge assets in a wider conceptual framework. By managing that wider range of intangible inputs with a structure designed not only to exchange existing knowledge or data but also to create new learning and insights, decision-makers can accomplish several things. Initially, the range of potentially valuable inputs is increased, bringing in a more diverse set of intangibles that might have more relevance in specific industries or companies. Secondly, the structures can be designed not only to exchange knowledge or big data but to bring it all together, along with all other available intangibles, for analysis. As a result, new learning can take place as cross-functional teams derive insights from the inputs. Finally, such a structure can work not only within a single enterprise but across its wider network of collaborators. The resulting intelligence learning ecosystems bring an even wider range of inputs, diverse perspectives, and opportunities for new learning to all the partners. By looking more widely at these possibilities, knowledge assets can be employed even more productively than when considered only in traditional knowledge management systems. [ABSTRACT FROM AUTHOR]

When intellectual capital is built "from the scratch" in an effort to move a society's situation to a sustainable status, there is often a need for a catalyst that triggers the endeavor. The "trigger", in the case that is reported in this paper, was the installation of a new college in a rural community in Northern Ghana where heretofore, no comprehensive tertiary education had been available. The college established an outreach program which was destined to provide the community with increased opportunities for improving the overall social and economic well-being. This creates an outer circle of engagement through accessing government officials, local businesses, community councils, health workers, traditional leaders (tribal chiefs), religious leaders and heads of NGOs on topics like labor relations, conflict resolution, sustainability management, social responsibility, cultural diversity, and social inclusiveness. At the onset, the members of the community contributed their traditional views on these topics and how this would combine with knowledge brought in through the new college. Since rural communities in Africa have a very intimate and intense relation to nature, good hands-on skills and an abundance of indigenous wisdom, it was felt that this combination would result in a rich body of knowledge and competencies. Ultimately, a valuable base would be developed from this knowledge for an inventory of intellectual capital that can be transferred to generations of descendants. At the heart of this endeavor was the Center for Cross Cultural Ethics and Sustainable Development, an institution created by the college, to move these efforts forward. There are two perspectives which make this case relevant for new developments in knowledge management: One is the issue of what has been called the "fourth mission" of educational institutions (Trencher et al. 2013), moving the institutions to co-creating sustainability by collaborating with government, industry and civil society to advance sustainable transformation in their environment. The other is that when two bodies of knowledge co-exist, the question arises how this co-existence should be approached. This case embeds a variety of systems-thinking constructs. Which would be the best way to combine indigenous wisdom with new knowledge brought in by the college's academicians and outside practitioners? How can a balance be coalesced between community needs that must often be satisfied short-term and needs for which long-term solutions are required? How can self-organization and relationality be conjoined? How can intellectual capital from both the traditional and the newly acquired skills and knowledge be generated in the community? The paper reflects on both the knowledge management and the systems-thinking interpretations of the case. community) and processes self-reference and other-reference. [ABSTRACT FROM AUTHOR]

The rise in awareness of knowledge management as a viable organisational resource and potential source of competitive advantage has been the subject of a myriad of research to date. The phenomenon covers a multitude of disciplines, roles and procedures, and its subjectivity has at times mitigated its potential for pertinent study. Add to this mix, the public sector, which exhibits unusual, specific, bureaucratic and insular hierarchies which can make it difficult to assess it from a research perspective, and a pertinent case can be made for investigating the process of implementing knowledge management initiatives in this area. Today's public organisations are confronted with considerable challenges in the dynamic knowledge economy and continuously adapt to shifts in societal needs, behaviour, and expectations. To keep pace with global trends and new demands, public sector organisations have to embrace new paradigms that place the management of intangible assets at the core of their strategies. Recognising the vital role of knowledge resources in driving organisations can lead to better performance. The idiosyncratic nature of governmental institutions creates peculiar barriers for attempts to manage knowledge within the public domain. Public organisations tend to be highly bureaucratic and cloistered in rigid hierarchies which require knowledge management (KM) strategies that are able to address their specific context, and equally consider their unique cultural and legal implications. The purpose of this paper is to present an inclusive literature review of the current state of KM research in the public sector in order to further research. An extensive review collated KM articles that have interest in public organisations during the last number of years. Initial findings of this research indicate that KM in the public sector is relatively underresearched compared with its private sector counterpart. Despite the existing research that has been undertaken, more efforts are required towards the development of applied frameworks to support public KM initiatives. Inducing culture changes in public organisations and introducing mechanisms of accountability have also been revealed as imperative issues of importance in the context of KM. From an application perspective, most studies have been conducted within the education and healthcare organisations, with a dearth of research in certain important government departments such as the Police and Army forces. The purpose of this paper is to highlight the level of research into KM in the public sector and assess the benefits of taxonomising the literature. This will offer significant new insights into public sector literature and will benefit future researchers in the field. The historically dichotomous roles of public and private sector research present a unique case for reviewing the nuances of public sector KM and investigating whether there is a case for unilateral supposition of the public sector and its unique nuances and if so, is it fortuitous for this to continue. A total of 3000 articles published in peer reviewed journals over selected time periods have been analysed for content pertaining to public sector knowledge management. From this analysis a total of 150 papers have been selected for their direct relevance to public sector knowledge management. There are viable areas of demarcation in public sector literature, and these serve to illustrate a lack of research in some crucial areas, such as the emergency services and the military. The research also suggests that efforts to marry the principals of private sector KM to the public sector are difficult as the uniqueness of public sector culture and orientation makes KM reform challenging. [ABSTRACT FROM AUTHOR]

Digital transformation has become a necessity in our volatile, uncertain, complex and ambiguous (VUCA) world. In their 2019 report, APQC found that 75% of organizations are undergoing digital transformation. Successful digital transformation requires a strong foundation of people, process, technology and content. Selection of the right combination of strategies and deep stakeholder engagement is important in early phases of change when transformation initiatives inform leaders and users why change is needed. Top drivers for digital transformation have business (e.g., increased efficiency and productivity) and people (e.g., optimize user experience with knowledge discovery) facets. This paper illustrates an example of digital transformation in practice led by Knowledge Management, within Alberta Health Services (AHS). AHS is Canada's first and largest province-wide, fully integrated health system with more than 102,700 employees. Employees need a platform for collaboration on projects, as well as documents and idea generation to meet business needs and enable them to become more efficient and effective in their daily jobs. The design, development, and implementation of a collaborative platform within this large organization required close orchestration of strategies, stakeholders' commitments and engagement, represented by a continuum of stakeholders' engagement formats, relationship and trustbuilding. Setting the stage for successful implementation and post implementation required a preview of technological and workforce trends to anticipate the future of work and worker. Fitting the change into overall business strategy, developing the knowledge of how change would affect the workers, and setting up a mechanism to inform leaders about adoption and user engagement were added as overarching strategies to better align with the line of sight in digital transformation. The platform was implemented with 23 business areas that expressed interest; it has demonstrated the potential to enable system transformation if implemented organization-wide. Business value was demonstrated with an ROI calculation on time savings. [ABSTRACT FROM AUTHOR]

Learning organizations create a phenomenal amount of scholarly knowledge as part of their academic discourse and research activities. This scholarly knowledge must be preserved and made accessible to other members. The absence of tools and strategies to facilitate the storage and accessibility of knowledge and information resources poses lots of challenges for the growth of learning organizations, particularly, learning organizations in Ghana. This study, therefore, sought to assess the deployment of knowledge repositories in learning organizations toward effective knowledge creation, use, sharing, retention, and retrieval. The study employed the triangulation design and online survey research. The triangulation helped in the collection of quantitative data followed by qualitative instruments (interviews) to find answers to pertinent questions and issues that were insufficiently addressed in the questionnaire responses. Nine (9) learning organizations in Ghana participated in this study. The study established that knowledge repositories and technology played critical roles in managing knowledge in learning organizations. However, the knowledge repositories were not user-friendly and fully utilized or accessible for knowledge management practices at the learning organizations. Also, the absence of fully integrated ICT Tools and Infrastructure inhibited the effective promotion of knowledge management initiatives at the learning organizations. The study concludes by developing a knowledge repository architecture for knowledge management in learning organizations. [ABSTRACT FROM AUTHOR]

The paper reports on the impact of building an intellectual capital statement for the Chamber of Agriculture in Styria, Austria (Landeskammer Steiermark, "LK Styria"), and with the subsequent issues of organizational development. LK Styria is a knowledge-based organization where intellectual capital accounts for a large share of the entity's value. Building on the activities of LK Styria and their outcomes, a knowledge-based intellectual capital inventory was set up for the human, structural and relationship resources based on the method "Wissensbilanz made in Germany". The strengths of the intellectual capital of Styria LK lie primarily in its core competencies of promotion, training and consulting. The contexts of LK Styria that produce value are its working conditions and the relationships with their members, customers, the public at large, and with public functionaries. It was found that the establishment of an of the Intellectual Capital (IC) Statement not only enhances the performance of LK Styria but also increases the resilience of the LK Styria when unexpected changes arise on the EU-level and on the national level, and thus expands the sustainability of the organization. Consequential to this IC Statement, measures were introduced to improve processes and outputs: a central lever was to be a new framework for process orientation; enhanced quality management was to be introduced as well as newly structured information handling inside and outside the organization. [ABSTRACT FROM AUTHOR]

This paper is about an ontological representation of a teaching domain (a discipline) in the case of an e-learning by doing purpose. Going from our precedent works about using ontologies for modeling specific domains such as algorithmic and relational databases, we show in this paper that it is possible to generalize our approach to any domain based on e-learning by doing mode. The model introduced here shows a domain through two points of views: the specification view given by the ontology and the resources view generally known in e-learning as learning objects. The specification ontology is a granular model where the knowledge of a considered domain is stored, making the use of the ontology for resources retrieval (web semantic use) or for any other learning or teaching activity guided by the domain semantic. This model has been successfully implemented in different learning by doing systems for computer science domains in particular for linear programming in addition to algorithmic and relational databases learning. Among the novelties of this model, we have the possible propagation of the learner's evaluation results to each defined components of the expert domain allowing adaptive content generation. The second novelty is related to the integration of pedagogical resources descriptors described using some data elements from the LOM standard metadata scheme. This will give connection between the ontology concepts (considered at the instance level as semantic annotations) to the domain pedagogical resources, what makes the model significantly more powerful. [ABSTRACT FROM AUTHOR]

The aim of the paper is to present a holistic framework of knowledge in organizations. The language of duality and opposites dominates much of the knowledge based literature, whereby knowledge and knowing in organizations are framed as an 'either/ or' discussion (Schultze and Stabell, 2004). This paper questions the usefulness of continued proliferation of such an approach, given the maturing nature of the field of knowledge management, and the ever increasing implementation of knowledge management activities by firms. The paper calls for a more unified interpretation of knowledge in organisations, which reflects the reality of the complex nature of knowledge and knowledge across the multiple levels of the firm. Hence the paper seeks to make a contribution by carrying out a multi case study of knowledge and knowing in organisations at multiple levels of analysis (that is at the individual, group and organizational level), with a view to supporting a unified framework on knowledge in organisations. The resulting framework is titled, Unitas, a conceptual framework on knowledge in organisations. The research was carried out in four case firms, across two industries, these beingmedical devices and pharmaceuticals. Fifty nine interviews were conducted, in tandem with documentation analysis, and observations. The resulting findings were analyzed using an interpretivist position. The paper concludes that multiple perspectives on organisational knowledge and knowledge activity are evident in the case organisations at three main levels of analysis, namely the individual, group and organizational levels. The Unitas framework presents four knowledge positions which are all concurrently active in organizations. The main contribution of the Unitas framework on organisational knowledge is that it provides a holistic interpretation of knowledge and knowing activity in organizations. [ABSTRACT FROM AUTHOR]

Service sectors, like local governments, offer various services to assist and develop communities and, as such, society at large. Therefore the interaction between people, knowledge, and technology play a vital role in attaining high service quality, economic development, and growth. Knowledge management (KM) techniques and tools can be applied in local government systems to improve service delivery and create service excellence. In addition a social identity theory perspective could give an indication of how local government officials categorise themselves in their social environment and as a salient group influence KM management and -sharing. The main objective of this paper was to investigate the extent to which social identity theory influences knowledge management and sharing in a South African local government institution. Semi-structured interviews and focus groups were used to obtain data from 22 government officials. The findings highlight some of the issues interlinking KM with selfcategorisation, group identity, and local government service delivery improvement, giving a framework for adopting KM in local government. [ABSTRACT FROM AUTHOR]

An organisation's ability to successfully operate in a competitive environment hinges to a large extent on innovation performance. In the paper, knowledge management (KM) practices, including methods stimulating new ideas and creativity, are viewed as antecedents of innovation strategies, and variance in organisational performance is presented as a consequence of implementation of different innovation strategies. Which KM practices contribute to the emergence of the most and least sophisticated innovation strategies? Which methods stimulating new ideas and creativity have the greatest potential in producing innovation? How is KM, via innovation strategies, related to firm performance? Where do the differences in innovation strategies and KM practices lie across countries? The paper is aimed at answering these questions and identifying KM practices typical of innovation strategies with varied levels of sophistication. Here, the sophistication depends on coherence (e.g. positive or negative, strong or weak) between the extent of an innovation strategy of an enterprise and the enterprise's performance indicators. For the identification of innovation strategies, CIS8 database was used. It covers 60 innovation variables across 127,674 organizations from 12 core and 19 additional sectors and from 16 European economies. The innovation variables include different KM practices as well. Two firm performance indicators were also used in the research. For the identification of methods stimulating new ideas or creativity, CIS10 data were used. It covers six such methods; the sample includes enterprises from 24 European economies within innovation core sectors. The methods included exploratory factor analysis, correlation analysis, hierarchical cluster analysis and k- means cluster analysis. At each stage, the analyses were accompanied by rigorous validity and reliability tests. The originality of the paper lies in its attempt to interrelate different KM practices with not only innovation strategies and firm performance, but national economic-institutional contexts as well. [ABSTRACT FROM AUTHOR]

Trust has become an important intangible asset in organizations as a foundation for cooperation in workplace relationships. The paper discusses and examines development of trust in relation to communication within work relationships. More specifically, the dynamics of trust deterioration and trust breach is studied empirically. The paper examines the interplay between communication and trust and how building, violation, breaches and restoration of trust develop in inter-personal workplace relationships. The aim of the paper is to provide new knowledge and insights of the dynamics between communication and trust and make practical implications to leadership and HRM for human capital development. By presenting the empirical findings from a qualitative case study with other complementing data the paper also aims to shed more light on how poor communication, in particular, affects trust development between actors involved. The paper advocates the importance of developing trust and communication for intangible intellectual asset in workplaces and their management. Originality of the paper is based on the idea of exploring the relation between trust and communication, specifically in the situation of trust violation and breach. The paper provides a still under researched issue of intangible assets, since relational resources such as trust and communication have not been widely examined in the context of trust breach, in specific. In the theoretical discussion, trust and communication are seen interwoven in interpersonal work relationships. Trust is looked as intangible asset and skill and communication a means and antecedent for trust. The findings show that poor communication plays an important role in deterioration and breaches of trust. Distrust may permeate widely within the organization and beyond the original parties involved. If space is left to the low trust climate to develop the consequences may be unfavorable, harmful and even damaging to the organization. Trust violation and breaches seem to be connected with workplace bullying with harmful consequences. [ABSTRACT FROM AUTHOR]

Knowledge Management (KM) has come to be regarded as an important activity in today's organizations. Technology plays a crucial role in KM of facilitating knowledge flow through the knowledge life cycle. This role is mostly realized by the implementation of a Knowledge Management System. However, the development of these systems is still haphazard, as organizations implement systems that are not guaranteed to enhance knowledge processing activities, and which may not be knowledge management systems at all. Most of these systems are groups of technologies brought together, with no theoretic and/or conceptual framework to justify the way in which they are integrated. The various forms of knowledge are not handled appropriately, as there is no distinction between the processes involved in managing these knowledge forms in the systems. Hence knowledge distribution and use is not done consistently, efficiently, and effectively. There is therefore a need for a reference point from a technical perspective, emanating from a theoretic and conceptual framework that will guide in developing these systems. This reference point is best provided in the form of a generic knowledge management system architecture, which will guide all technological implementations for KM. This paper seeks to outline the need for a generic knowledge management system and what is to be taken into consideration in terms of technical as well as organizational objectives when developing it. The paper also presents some of the quality attributes to be considered in developing the architecture, and the technologies that can be incorporated. [ABSTRACT FROM AUTHOR]

The improvement of governments' efficiency has gained great importance and validity especially in the current times of economic downturn. E-Government constitutes the most contemporary techno-managerial proposition in the track of possible interventions. The paper addresses, more specifically, empowerments necessitated by Public Administration (PA) organizations. Anchored on the needs of three real-life cases, the paper describes the conception and the realization of an IT artefact together with its methodological appeals aiming at improving information access and delivery and thus PAs' decision making capacity. Our proposition constitutes a novel approach for managing users' attention in knowledge intensive organizations which goes beyond informing a user about changes in relevant information towards proactively supporting the user to react on changes. The approach is based on an expressive attention model, which is realized by combining ECA (Event-Condition-Action) rules with ontologies. The technical realizations described in the paper constitute the underlying infrastructure of an Enterprise Attention Management System. [ABSTRACT FROM AUTHOR]

Organizations have managed information regarding knowledge of employees using various processes such as knowledge mapping, network analysis, codification and personalization. Some of these organizations have been chosen to receive awards for their outstanding performance, for instance for their finest use of knowledge. This paper examines how knowledge award-winning organizations distinguished themselves from other organizations, when it came to the registration, access and use of the knowledge of employees. The aim was to provide an understanding of how these organizations supported personal knowledge registration, and whether winning an award entailed a more comprehensive overview of the knowledge residing in employees. Whether the organizations benefitted financially from the registration process was also examined. This was a qualitative research. It was a multiple-case study, covering 18 organizations in Iceland, of which six had received the Knowledge Company of the Year award. A total of 35 semi-structured interviews were conducted and six award-winning verdicts analysed. A conceptual model was used to clarify the results. The findings indicate that the award-winning organizations received the award for outstanding success. Still, little emphasis was put on the management of the personal knowledge of employees. Interviewees experienced adversity regarding costs, time, limited access and use of personal knowledge. Most interviewees claimed that the registration of knowledge had a financial gain but found it difficult to measure and hard to confirm. [ABSTRACT FROM AUTHOR]

Personal Knowledge Management (PKM) is envisaged as a decentralizing Knowledge Management (KM) revolution and as a vital educational concern. The objective of a current design science research (DSR) undertaking is, thus, the conceptualizing and prototyping of a PKM System (PKMS) aiming at departing from today's centralized institutional solutions and at strengthening individuals' sovereignty and collaborations, not at the expense of Organizational KM Systems, but rather as the means to foster a fruitful co-evolution. This article expands on a recent paper focussing on the PKMS's affordances in the context of the individual and collective, explicit and tacit knowledge of knowledge workers by integrating twelve renowned models of knowledge creation in a three-dimensional dynamic 'public-transport-like' map of holistically portrayed complementing work flows. In further detailing the impacts and benefits for a prospective PKMS user community, the article highlights the major radical changes of the PKM approach according to the decentralization, mobilization, accessibility, granularity, traceability, transdisciplinarity, transparency, diffusibility, negentropy, and synergies of knowledge. The results reaffirm the DSR concept of theory effectiveness aspired to in terms of the system's utility and communication as well as the PKMS as a sustainable intervention to confront opportunity divides independent of space (e.g., developed/developing countries), time (e.g., study or career phase), discipline (e.g., natural or social science), or role (e.g., student, professional, or leader). [ABSTRACT FROM AUTHOR]

Purpose: This article investigates knowledge sharing practices amongst rice farmers in Ghana and suggests a strategy for improving knowledge sharing in rice farming communities in Ghana. Design/methodology/approach: This study is underpinned by the pragmatic paradigm where concurrent triangulation mixed-method design was used for the study. Data was gathered with survey and interviews. A total sample of 110 was used, involving 101 survey respondents and 9 interview participants. The survey data was analyse descriptively using Statistical Package for the Social Sciences (SPSS), version 26. The interview finding was analysed using thematic analysis. The findings revealed informal knowledge sharing practices among the rice farmers and suggests a strategy for knowledge sharing that involve partnerships between stakeholders in different sectors, such as government agencies, rice-farming communities; rice production-based NGOs, and researchers. Successful implementation of knowledge sharing would depend on finding and connecting the tools, technologies, and techniques practices. Limitations: The results could not be generalised to knowledge sharing practices among rice framers in Ghana because only three regions were targeted. There is a need for a quantitative comparative study of knowledge sharing by rice farmers in all regions where rice is produced in Ghana. Practical Implications: Rice is an agricultural cereal crop in Ghana and an important source of livelihood for rural poor households. It is consumed and cultivated by many people in the country. When rice farmers engage in efficient knowledge sharing practises knowledge will spread easily among rice farming communities resulting in sustainable agricultural practices that may eradicate hunger and poverty Effective knowledge sharing, offers great potential for addressing the challenges of rice production in Ghana. It will increase rice production, improve the quality of rice yield and safeguard the quality of the natural environment simultaneous. Originality/Value: This article adds to the body of knowledge on knowledge sharing from an agricultural perspective with specific reference to rice farming. Effective knowledge sharing will enhance food security, alleviate climate change challenges, improve nutrition, and promote sustainable agriculture, thus contributing toward the realisation of Goal 2 of the United Nations 2030 Sustainable Development Goals. The findings of this article form part of the finding of the doctoral studies. [ABSTRACT FROM AUTHOR]

The primary objective of this study was to assess employees' perceptions on the use of online internal communication (OIC) for knowledge sharing from a personal/individual perspective. This is important because of the emphasis placed on the relevance of knowledge management (KM) in transforming ordinary organisations into learning ones, and to a greater degree through the use of new media technologies. One of the important dimensions of KM that is crucial for organisational learning is knowledge sharing (KS). However, the use of OIC to share knowledge among employees in deposit-taking savings and credit co-operative societies (SACCOs) in Kenya is still low. Therefore, it is necessary to explore employees' perceptions and personal/individual factors influencing employees' online KS using the available OIC tools. A cross-sectional survey design was adopted. Primary data were collected using an online structured questionnaire targeting the accessible population of 485 mid-level employees of deposit taking SACCOs in Kenya, and data were migrated to SPSS version 25.0 to generate descriptive statistics. Thematic coding of data obtained from eight focus group discussions involving 72 employees and in-depth interviews with eight senior managers were presented as narrative analysis. The findings of this study indicated that most employees lacked the requisite knowledge, skills and attitude for adopting OIC for knowledge sharing (KS), and emphasised the need for training prior to the implementation process and an organisational environment that is conducive for attutude modification in the use of existing OIC. This study is unique and adds to the existing body of knowledge in the proposed theoretical framework emphasing the need to enhance KS through OIC, specifically on a personal/individual level, considering the managerial/organisational and technical levels as well, to contribute to organisational learning and innovation to ensure sustainable competitive advantage. [ABSTRACT FROM AUTHOR]

There are a number of natural links between the fields of business models and knowledge management. The contemporary understanding of business models is that they are concerned with describing and analyzing the methods of value creation and the alternative ways of delivering use value to customers that are applied by organizations. Similarly, knowledge management also has intricate connections with mechanisms of value creation, through the structuring and improvement of knowledge processes in a given organization. Ensuring that the right knowledge is present is an important part of any business model innovation exercise. By applying the lens of intellectual capital, a natural link between business models and knowledge management is established. From this link, it is possible to structure and describe key characteristics. This paper accounts for the relationships between business models and knowledge management, mediated by intellectual capital, and draws up a schema by which the relationships can be described and discussed. It concludes by synthesizing a future research agenda to further address these relationships and to strengthen our understanding of how they improve the value creation of organizations. [ABSTRACT FROM AUTHOR]

The aim of this study is to investigate intellectual capital (IC) drivers that may influence Italian consumers' decision to participate in value co-creation (VCC) activities with firms. Given the exploratory nature of the research, after a review of the relevant literature, we conducted a survey among Italian consumers to see if IC principal sub-dimensions (i.e. Relational Capital, Human Capital and Structural Capital) played a role in triggering VCC processes. Using a Principal Component Analysis (PCA), we analyzed 270 usable questionnaires finding that, in order to decide to co-create value with firms, IC sub-dimensions actually play a critical role. Our findings showed that the motivations (i.e., IC components) that influence Italian consumers' decision to participate in value co-creation activities with firms are quite homogeneous and similar both for those who already participated in past in these activities as well for those who never participated. The study has several managerial implications as well as limitations. In fact, the survey has been conducted only among Italian consumers and therefore the research should be extended by a geographically standpoint. Moreover, the research analyzed only the demand-side, while it would be certainly useful to know the point of view of companies also adopting other research methods (e.g., in-depth interviews). This study provides to practitioners important suggestions and warnings about the importance of the development of IC sub-dimensions to (co-)create value with external actors and consequently suggests the importance of adopting a "open" approach towards consumers to establish an effective and interactive relationship with them. The study fills a gap in the literature, since there are not so many references in literature for a deep understanding of the concrete relationship between IC and VCC. In addition, to our best knowledge this paper is the first that explore IC-related issues from a marketing perspective. [ABSTRACT FROM AUTHOR]

As technology transforms knowledge and information management systems, statistical data is becoming more accessible, available in bigger and more complex datasets and is able to be analysed and interpreted in so many different ways. Traditional approaches to the development, maintenance and revision of statistical classifications no longer support or enable description of data in ways that are as useful to users as they could be. The ability to search and discover information in ways that were previously not possible means that new methodologies for managing and describing the data, and its associated metadata, are required. The development of structured lists of categories, often hierarchic in nature, based on a single concept, limited by the constraints of the printed page, statistical survey processing system needs, sequential code structures or narrow user defined scopes results in statistical classifications neither dynamically reflecting the real world of official statistics nor maintaining relevance in a fast changing information society. Opportunities exist for modernising the developmental processes for statistical classifications by using, for example, semantic web technology, Simple Knowledge Organisation Systems (SKOS), and Resource Description Frameworks (RDF), and for better describing metadata and information within and across multiple, interconnected information and knowledge management systems. These opportunities highlight the difficulties that come with using traditional approaches to statistical classification development and management, and encourage new thinking for different and more flexible options for developers and users. This paper explores the need to dispense with traditional practices for developing statistical classifications as cornerstones of metadata, knowledge and information management, and comments on the need to change the underlying methodology within statistical classification theory, best practice principles and how they can be used in associated information management systems. [ABSTRACT FROM AUTHOR]

knowledge management, data mining, and text mining techniques have been adopted in various successful biomedical applications in recent years. Data Mining (DM) is the most important subfields in knowledge management (KM). It has been proven that data mining can enhance the KM process with better knowledge. In this paper, we investigate the application of DM techniques for mining knowledge of the patient record. The patient record represents documents of the patient's examinations and treatm ents. Data Mining is the process of mining or extracting information from a data set and transform it into an understandable structure for further use. We propose a methodology for mining medical knowledge based on the Bayesian Classification to predict and detect anomalies in breast cancer. We use the Naïve Bayes Algorithm to develop this methodology. We illustrate the knowledge mining process by real examples of medical field. We investigate through these illustrations how knowledge is better mined an d thus, reused when applying concepts and techniques of Data Mining. On the other hand, we investigate the potential contribution of the Naive Bayesian Classification methodology as a reliable support in computer-aided diagnosis of such events, using the well-known Wisconsin Prognostic Breast Cancer dataset. Finally, we will demonstrate the suitability and ability of the Naive Bayes methodology in Classification/Prediction problems in breast cancer. [ABSTRACT FROM AUTHOR]

Knowledge management (KM) has gained popularity in recent times because knowledge is regarded as a vital resource in today's economy. The popularity of KM has led to the creation of the KM field. Organisations have adopted KM because of its association with competitive advantage. Over the years, theories, models and frameworks have been developed to inform KM research and practice. KM lifecycle frameworks seem to dominate the KM literature. Too many of them have been created over the years, thus causing confusion about which one to choose for research and practice. The study analyses 20 prominent KM lifecycle frameworks, and proposes a unified framework. The unified framework aims to eliminate the confusion created by having too many frameworks with many different processes. Quantitative and qualitative content analysis was used to analyse the 20 frameworks. Processes appearing in all frameworks were listed and counted to determine the most prominent. After eliminating synonyms used to describe the processes, qualitative content analysis was used to group them into themes. Five prominent KM processes were discovered: knowledge transfer, storage, application, creation, and acquisition (K-TSACA). The conclusion of the study is that organisations and researchers seem to focus mostly on five KM processes, hence their popularity/dominance over others. [ABSTRACT FROM AUTHOR]

Software Development Projects (SDPs) are being conducted at a rapid rate in response to the Fourth Industrial Revolution (4IR), even though SDPs are associated with very high failure rates. Their failure rate of SDPs has been declared as an International Crisis. SDPs are knowledge intensive in nature, whereby knowledge is essential when performing sociotechnical tasks within SDPs. One of the reasons for the failure of SDPs is limited sharing of tacit knowledge within SDP teams. Limited tacit knowledge sharing within SDP teams results in the teams not being in position to perform their socio-technical tasks to the required standards which leads to success of SDPs. The main purpose of this research study was to identify the team-oriented barriers that limit the sharing of tacit knowledge within SDP teams. The researchers conducted a qualitative study and relied on qualitative data to achieve the objectives of the study. The qualitative data were collected through interviews and thematic data analysis was conducted to generate the results. A total of seven team-oriented barriers were identified includes team-culture, team-orientation, team-dispersion, team-cohesion, team-characteristics, trust, and communication. These issues are related to each other and influence one another in a positive way. These barriers stem from the entire SDP team, which is responsible for ensuring the success of SDPs. [ABSTRACT FROM AUTHOR]

The usage and practices of knowledge management in higher educational institutions are growing after the development of information and communication technology. Knowledge management in educational institutions is being practiced to enhance academic activities, particularly in innovative change in the research as along with teaching and learning practices. Knowledge management in academia impact on the academic performance of faculty members while conducting academic activities and promoting academic discourses is today's concern. In this background, this research adopts a quantitative methodology to collect data from the 445 academic staff employed at four universities in Nepal. The factor analysis was used to explore the variables and items associated with knowledge management and academic performance. This process has identified seven processes of knowledge management and four processes of academic performance. The relationship was carried out by using correlation analysis while the multiple regression analysis was used to measure the association of knowledge management and academic performance. The research shows the association between the processes of knowledge management and academic performance. The association and relationship of knowledge management and academic performance matter highly in academia. Furthermore, the knowledge creation process enhances the intellectual capital of every individual which has an impact on the knowledge economy of a society. [ABSTRACT FROM AUTHOR]

This study introduces the moderating influence of leadership style on the connexion between knowledge management and organizational performance studies. We present a Knowledge-Based Theory and associated hypotheses for testing. A survey design using a case study approach of four organisations in the Petroleum, Energy, Micro Banking, and Education sectors in Ghana was used to collect quantitative data. Data analysis shows the Structural Equation Modelling of the study using Analysis of Moment Structures. The outcome shows a strong and significant relationship between Organisational Performance and Knowledge Management as well as Leadership Style and Organisational Performance. However, results indicate that Leadership Style does not moderate the relationship between Knowledge Management and Organisational Performance. The implication of the study suggests the implementation of comprehensive knowledge management policies through employees to enhance organisational performance. [ABSTRACT FROM AUTHOR]