Efficient Knowledge Management Research Articles

Cultural institutions as knowledge-intensive public organisations (KIPOs) and their role: how digitalisation can change them providing sustainable and accessible public services

PurposeThis exploratory research seeks to clarify the role of cultural organisations as knowledge-intensive public organisations (KIPOs) and the trend of digital content creation in museum sectors and national strategies through a country case study. It aims to provide a deeper understanding and analysis of museums' roles as KIPOs, specifically focusing on their digitalisation and digital content development for service delivery. Digital technology utilisation in the museum sector has amplified the significance of digital content, not only because of the increasing use of digital technologies among the public but also because it provides attractive new content to appeal to customers, as well as more efficient knowledge management and knowledge reproduction tools for KIPOs. Thus, this paper analyses digital content creation in the museum sector and policy frameworks to provide insights into the role of museums as KIPOs by utilising digital technologies.Design/methodology/approachWe conducted literature review on six keywords, combination of “cultural institution”, “museum”, “digitalization”, “digital content”, and “ICT” to understand the digitalisation of museums amongst academic papers, then used a case study to figure out the common issues as well as case-specific features of these digital offerings through analysis of the digital platforms of museums. Specifically, we choose the case of South Korea, its national strategies and budget allocations and the museum sectors in the country. Thus, the secondary data analysis was provided by the official channels, such as documents from government agencies, media sources, such as articles from newspapers and magazines and academic works of literature, such as papers in scientific journals.FindingsThis paper reveals the research trend in museums' digitalisation, especially through the case study, how the South Korean government has argued digital content development in museum sectors through their national strategies and budget allocations, and the trend of museums' digital offerings since 2021. This paper thus presents a novel contribution to the field by delving into the research trend in digitalisation and digital content development in the museum sector and analysing the South Korean government's national strategies and budget allocation in this context. The literature review shows that the digitalisation of museums has increased research interest in the last few years in limited areas. South Korea has allocated budgets and policies to encourage digital content creation in museums, and this study identifies an increase in digital content creation in the museum sector.Research limitations/implicationsThe paper chose one-country case study, that of South Korea; thus, there are representative limitations and thus in terms of generalisation of the results. Further research with case studies from other countries and comparative studies are required.Practical implicationsThis study highlights the importance of digitalisation and digital content development in the museum sector through government policies, strategies and financial investment.Social implicationsIt highlights the importance of digitalisation and the introduction of digital contents amongst museums to gain new visitors and change the relationship between the institutions and the customers.Originality/valueIt deals with the digitalisation of museums as KIPOs and it is a new and relevant topic per se. This study enhances the understanding of the museum sector’s digital content development and national policies to support its activities. It provides insights into the utilisation of digital technologies in cultural institutions for digital service delivery in public organisations.

Computational Analogies of Machine Learning concept in the Oil and Gas Industry and its Transformation in the Industry 4.0 Era

The fourth Industrial Revolution, commonly known as Industry 4.0 is enabling Oil and Gas industry to transform its business process and operations and adopt digital technologies to drive innovation, enhance production and operate more efficiently. The oil and Gas industry is enhancing Knowledge Management with advancement in digital technologies such as big data analytics, and artificial intelligence to transform vast information gathered historically stored in documents and systems as well as subject matter expert experience into digital knowledge to establish advisory systems to support decisions in the Oil and Gas operations. In organizations, knowledge has become an important success element and so is the case with the oil and gas industry, which is one of the most important sectors in energy. It must be dealt with and leveraged efficiently and effectively for competing in the world market by the creation of a competitive and sustainable environment in organizations. Oil exploration is a knowledge-intensive process in which effective operations and commercial success may be accomplished by identifying and evaluating possibilities early on and making knowledge-based choices. To be productive and competitive, the oil and gas industry must embrace knowledge management processes, where professionals may play a key role in managing information to easily address issues. However, the capacity to handle knowledge cannot be instilled in a single day; it is a culture that has been created over time via specialists and their expertise. The oil and gas sector has undergone significant changes throughout the years, affecting all of its sections, including exploration, production, and refining, and has got significant implications for marketing plans, production strategies, and R&D strategies. Only efficient knowledge management strategies with the aid of big data can encompass knowledge generation, information exchange, transformation, and dissemination of information in present times. The emergence of Generative Artificial Intelligence Chatbot such as ChatGPT is transforming the way knowledge has been managed traditionally. Applying the right strategies to enhance knowledge management is vital for the Oil industry to extract, develop, maintain, preserve and disseminate knowledge for effective operations. This paper introduces and discusses the developments in knowledge management, and explores the interrelationship between AI/ML, big data, and knowledge management in the oil and gas industry.

USING THE CONCEPT OF KNOWLEDGE MAPS FOR THE AMELIOURATION OF KNOWLEDGE MANAGEMENT SYSTEMS

The appropriate localisation and mapping of knowledge resources in an enterprise is a necessary element for efficient knowledge management. This requires appropriate motivation on the part of employees and a number of actions on the part of managers. Looking to address this very issue, what follows presents an analysis of the process of mapping and locating knowledge resources in a selected company: one of the branches of an international company belonging to the automotive industry, located in Poland, was selected as the research object. The results of the research were used to develop proposals for solutions to improve the knowledge management system. Therefore, the aim of this publication is to diagnose the functioning of the knowledge transfer system on the example of the selected enterprise, based on an initial proprietary pilot study.

Research on Large Language Model for Coal Mine Equipment Maintenance Based on Multi-Source Text

The efficient management and utilization of coal mine equipment maintenance knowledge is an indispensable foundation for advancing the establishment of intelligent mines. This knowledge has problems such as scattered, low sharing, and insufficient management, which restricts the development of coal mine intelligence. For the above-mentioned problems, a large language model for the maintenance of coal mine equipment based on multi-source text (XCoalChat) was proposed to better manage and utilize the existing massive knowledge of coal mine equipment maintenance. The dataset of coal mine equipment maintenance based on ReliableCEMK-Self-Instruction was constructed to obtain a wide and diverse amount of knowledge through sample generation. Aiming at the illusory problem of the large language model, a knowledge graph enhancement method based on the “Coal Mine Equipment Maintenance System—Full Life Cycle—Specification” was proposed to improve the knowledge density. A triple-LoRA fine-tuning mechanism and DPO direct preference optimization method were introduced into the top of the baseline model, which guarantees that XCoalChat can handle multiple Q&A and maintenance decision analysis tasks with limited computing power. Compared with ChatGLM, Bloom, and LLama, the comprehensive assessment of XCoalChat was performed by experiments including coal mine dialog consulting, coal mine professional consulting, and maintenance decision analysis. The results showed that XCoalChat achieved the best response accuracy in professional consulting and maintenance decision analysis; XCoalChat also took the least reasoning time on average. XCoalChat outperformed other mainstream large language models, which verify that XCoalChat is an effective large language model in the field of coal mine equipment maintenance.

Efficient knowledge management for heterogeneous federated continual learning on resource-constrained edge devices

Federated learning (FL) is a promising and privacy-preserving distributed learning method that is widely deployed on edge devices. However, in practical applications, the data collected by edge devices exhibits temporal variations. This leads to the problem of FL models adapting to new data while forgetting knowledge from old data, resulting in a catastrophic forgetting issue. Continual learning methods can be used to address this problem. However, when deploying these methods in FL on edge devices, it is challenging to adapt to the limited resources and heterogeneous data of the deployed devices, which reduces the efficiency and effectiveness of federated continual learning (FCL). Therefore, this article proposes a resource-efficient heterogeneous FCL framework. This framework divides the global model into an adaptation part for new knowledge and a preservation part for old knowledge. The preservation part is used to address the catastrophic forgetting problem. Only the adaptation part is trained when learning new knowledge on a new task, reducing resource consumption. Additionally, the framework mitigates the impact of heterogeneous data through an aggregation method based on feature representation. Experimental results show that our method performs well in mitigating catastrophic forgetting in a resource-efficient manner.

Corporate Knowledge Creation and Motivation

In the present era, the replication and reproduction of products have become commonplace. As a result, the competitive edge primarily hinges on the experiential insights and knowledge that companies possess. In the swiftly evolving landscape of today, continual adaptation and receptivity stand as indispensable factors for our business's triumph. Moreover, the cultivation of robust collaboration amongst employees is held in high esteem. Consequently, these factors underscore the mounting significance of efficient knowledge acquisition, sharing, and management within corporate governance. This has led to a compelling surge in the call for the application and refinement of knowledge management practices. Currently, I am engaged as a project engineer/manager within a company that specializes in the design and construction of solar power plants. This enterprise, established in 2019, is relatively nascent. Nevertheless, it has charted a steady growth trajectory, both in terms of workforce expansion and revenue augmentation. Year by year, it assumes a larger and more influential role within the market. My research will be centered within the confines of this company, leveraging interviews and surveys as my primary research tools. My aspiration is that this approach will furnish comprehensive insights into the pivotal queries at hand. The primary objective of my study will be to juxtapose the perspectives of managers and employees regarding the realm of knowledge management. I intend to delve into its significance, scrutinize the avenues for advancement, and dissect the impediments and perils that may impede its progress.

Construction and application of a knowledge graph-based question answering system for Nanjing Yunjin digital resources

Nanjing Yunjin, one of China's traditional silk weaving techniques, is renowned for its unique local characteristics and exquisite craftsmanship, and was included in the Representative List of the Intangible Cultural Heritage of Humanity by UNESCO in 2009. However, with rapid development in weaving technology, ever-changing market demands, and shifting public aesthetics, Nanjing Yunjin, as an intangible cultural heritage, faces the challenge of survival and inheritance. Addressing this issue requires efficient storage, management, and utilization of Yunjin knowledge to enhance public understanding and recognition of Yunjin culture. In this study, we have constructed an intelligent question-answering system for Nanjing Yunjin digital resources based on knowledge graph, utilizing the Neo4j graph database for efficient organization, storage, and protection of Nanjing Yunjin knowledge, thereby revealing its profound cultural connotations. Furthermore, we adopted deep learning algorithms for natural language parsing. Specifically, we adopted BERT-based intent recognition technology to categorize user queries by intent, and we employed the BERT + BiGRU + CRF model for entity recognition. By comparing with BERT + BILSTM + CRF, BERT + CRF and BILSTM + CRF models, our model demonstrated superior performance in terms of precision, recall, and F1 score, substantiating the superiority and effectiveness of this model. Finally, based on the parsed results of the question, we constructed knowledge graph query statements, executed by the Cypher language, and the processed query results were fed back to the users in natural language. Through system implementation and testing, multiple indices including system response time, stability, load condition, accuracy, and scalability were evaluated. The experimental results indicated that the Nanjing Yunjin intelligent question-answering system, built on the knowledge graph, is able to efficiently and accurately generate answers to user’s natural language queries, greatly facilitating the retrieval and utilization of Yunjin knowledge. This not only reinforces the transmission, promotion, and application of Yunjin culture but also provides a paradigm for constructing other intangible cultural heritage question-answering systems based on knowledge graphs. This has substantial theoretical and practical significance for deeply exploring and uncovering the knowledge structure of human intangible heritage, promoting cultural inheritance and protection.

THE ADAPTIVE MODEL OF IMPROVEMENT AND CONTINOUS TRAINING OF SPECIALISTS IN THE FIELD OF PHYSICAL EDUCATION AND SPORTS TO IMPROVE MANAGERIAL PERFORMANCE

The management of skills trained and perfected by specialists has now become an essential issue for any economic agent, including sports entities. This type of management is an operational tool that aims to optimize the effectiveness, performance and competitiveness of the organization. Thus, competence has become a real requirement in the labor market, inevitable and to be demonstrated and applied by a person in a certain professional situation and which usually changes over time. The area of expertise (professional, specific and transversal - CPST) is needed for the sports organization to cope with changes in the context of globalization, as well as to increase its capacity by mobilizing staff in order to achieve the goals of both sides, or the organization itself, or of the employee, fact for which a strength that should be planned in their mission is also the financial contribution to the improvement of the specialists. In this context, we can say that the survival of the sports organization no longer depends only on the production / provision of products / services, quality and quantity, but also on the efficient management of knowledge and skills of human resources employed. In this regard, we can mention that the approach of skills in close connection with performance indicators for efficiency at the individual or microgroup level in a sports entity, is a methodology that allows us to modernize the entire system of training and improvement of staff in accordance with the requirements of the knowledge society towards obtaining and continuously improving the quality of education and the referential of the specialist in the field.

Organizing and Sharing Medical Knowledge Among Anesthesiology and Intensive care Residents: Evaluating Existing Practices and the Feasibility of Implementing a Dedicated Multiplatform Application.

Treating patients with up-to-date medical knowledge is an ongoing goal for healthcare workers and implies efficient knowledge management at the point of care. Widely available mobile wireless technologies influence practices but a significant gap remains between technological possibilities and actual usage. The purpose of this study was to analyze residents' baseline practices in managing medical knowledge and to evaluate the use and impact of an innovative multiplatform application dedicated to anesthesiology and intensive care residents. This study took place in Rennes Teaching Hospital and comprised two distinct surveys. First, in April 2018, all residents received a ten-items online survey focusing on managing medical knowledge. Then, through a second online survey constituted of ten items, we sought to assess the use of a new multiplatform cloud-based application named "DansMaBlouse", dedicated to sharing and indexing medical knowledge, in anesthesiology and intensive care residents. Among 148 residents that answered the evaluation survey, the most sought out pieces of information in clinical setting were a phone or fax number (74%), drugs' characteristics (68%) and expert guidelines (57%). The main sources were senior staff (68%), medical databases (60%) and an Internet search engine (59%). Computers and smartphones were more frequently used than bound paper notebooks. After implementation of the multiplatform application DansMaBlouse, fifty-nine (82%) of the 72 residents that answered the evaluation survey reported using the application and 39% used it more than ten times. Among application users, 90% found it easy to use and 92% agreed that it improved point-of-care access to knowledge. Accessing appropriate medical knowledge at the point of care remains an issue for residents and can be improved by a multiplatform application combining personal and shared up-to-date resources.

Digital innovation through cybersecurity learning factories

Globally, the cybersecurity workforce changes tremendous challenges. Shortages in specialised cybersecurity staff members essentially puts organisations at risk. New graduates can face difficulties in entering the cybersecurity domain due to a lack of experience and knowledge. However, with the advent of newer techniques for knowledge development, we find that learning factories offer a fresh perspective. Learning factories provide a mechanism to remove the barriers in the field of cybersecurity and cultivate a nurturing training environment. This paper looks at the modernisation of traditional training by covering the application of learning factories in the cybersecurity field. It aims to show how knowledge can be geared into more practical schemes to empower participants and expose them to critical cybersecurity skills. Through the paper, it will be demonstrated that learning factories can be used for real-world learning and information sharing. Learning factories embody the principles of knowledge sharing and promotes more efficient knowledge management. With the use of nominated tools and technologies cyber security learning factories can help measure the effectiveness of worker training as well provide for consistent facilitated training. Overall, learning factories can help to transform training and build knowledge application.
 Learning factories may be set up to tackle real industry challenges and are particularly useful in the field of cybersecurity. Using learning factories there is an opportunity to advance multi-dimensional cybersecurity skills and develop innovation in the field. Due to the added advantages of Information and Communication Technology (ICT) being virtually accessible, there is the added benefits of agility, responsiveness and increased engagement. Using a variety of modes, cybersecurity learning factories can combine the techniques of gamification, videos, multi-media and simulation. All of this provided an augmented and enriched experience for participants. Learning factories are a low-cost solution to replicating working environments thus assisting in skills development. Through the application of learning factories, a skilled workforce can be developed and cultivated.

Corporate reputation and culture: the link between knowledge management and sustainability

Purpose This study aims to analyze how sustainability, through an efficient knowledge management (KM) system, can serve as a driving force with respect to corporate culture and reputation. The research questions that guided this study are mainly the following: Are KM and sustainability related? Can culture strengthen the link between KM and sustainability? Can the link between KM and sustainability be affected by reputation? Design/methodology/approach The methodological approach adopted corresponds to qualitative research of analysis on the reference literature in the international field, also supported by empirical analysis. Findings In this study, the authors show that there is no explicit correlation between sustainability and KM. This relationship, in fact, is not underlined in nonfinancial reporting because it is absent or because it is not considered relevant. Too often sustainability is reduced to a mere relational and reputational tool, ignoring the fact it must be considered a consequence and not the main goal to improve companies’ culture. Research limitations/implications The sample studied by the authors refers to the top 40 companies listed on the Italian market, not allowing to generalize the findings across the international context. Practical implications The practical implications that could result from making explicit the relationship between sustainability and KM are multiple: the substantial benefits of the reputational aspect, an increase in the economic value related to sustainability; to ensure the going concern of the company and implement its ability to produce and share value in the long term. Social implications The social benefits of a stronger relationship between sustainability and KM are related to the possibility to improve the wealth of all the stakeholders. Originality/value This paper analyzes the links between sustainability and KM to understand the influence of these factors on corporate culture and reputation.

Process Business And External Environment In Mattering Service Quality: The Moderator of Knowledge Management

This quantitative study investigates the connections between knowledge management, business processes, and service quality. The study examines how corporate procedures directly affect service quality and how the outside environment affects it. It also looks into how knowledge management affects business processes and customer service quality. A sample of the medical industry in Tangerang City, Indonesia, received surveys, and 12 complete replies were examined. The results show that while the external environment significantly affects service quality, business practices do not directly influence it. The relationship between business processes and service quality is moderated by knowledge management, underscoring the significance of efficiently utilising organisational knowledge resources. These results point to the necessity of a comprehensive service quality improvement strategy that considers outside variables and employs efficient knowledge management techniques. Future research should overcome drawbacks like sample biases and explore these correlations using a variety of approaches and larger samples.

RECOMMENDER SYSTEM’S ECONOMIC IMPACT ON E-BUSINESS. A THEORETICAL REVIEW

The rapid advancement of technology and the Internet led to an unprecedented abundance of information and data. Where too much information exists, the risk raises for that information to become irrelevant or too hard to handle; a phenomenon called information overload. Filtering vasts amounts of data and highlighting relevant information became a priority, especially for ecommerce business. Recommender Systems (RS) as a branch of Decision Support Systems were developed and implemented to help users handle information overload and access items based on relevancy. The financial returns RS have brought stimulated the spread of such referral systems to other business domains. As knowledge is a critical resource in nowadays economy, efficient knowledge production and management are a prerequisite for competitive advantage. E-businesses are concerned with online traffic on their platforms and with customer experience and impressions. The multitude of e-businesses facilitated by the Internet has created a highly competitive market in terms of gaining customers loyalty. New available frontier technologies might help online retailers enhance their customer pool and build a solid relationship with their existing ones. One major issue RS tackle is the information overload, meaning that vasts amounts of data might confuse the customer in making a purchase choice, paradoxically due to too many options. Information overload might lead to fatigue, purchase postpone and overall loss for the online retailers. RS have the power to gather data and transform it to valuable personalized knowledge; a feature that can add more revenue, build customer trust, build a personalized customer relationship and even influence the distribution value chain. In this paper we propose a theoretical overview on the RS and how they create value, their fields of implementation and how they are working. By doing so, we enhance both the RS and the e-commerce literature by analyzing tools and means of economic development provided by the DT.

Adapting innovation of information and communication technologies to climate change risks for agriculture sustainability in central Tanzania

Climate change is one of the most challenging and alarming global issues for threatening the existence of the living entities of ecosystems. Manifestations of climatic aberrations are evidently diverse and extensive in nature. Unfortunately, agricultural sector is heavily vulnerable to the vagaries of climate putting global food security at stake. Farming communities rarely have access to up-to-date weather and climate information, which hinders their ability to practice climate-smart agriculture. Extreme weather events variations in rainfall and temperature can result in reduced yields or even the destruction of crops, affecting farmers’ incomes and livelihoods. Unsustainable agricultural practices compound the problem by reducing in soil fertility and the soils’ capacity to retain water, contributing to soil erosion. This can drive ecosystem degradation and habitat loss, with a resulting loss of biodiversity. To cope up with this changing scenarios, strategic innovation is a must, especially for the highly populous developing countries like Tanzania. By virtue of the generative and systemic tools of Information and Communication Technologies (ICTs) and its efficient knowledge management system, ICTs offers a great potential to record, transform and disseminate information while strengthening adaptability to the changing situations in multifarious ways. Remote sensing tools and corresponding technological innovations can ensure a sustainable meal to the ever-surging population. Climate change can only be confronted when these future ready technologies will be coupled with efficient agricultural extension protocols. This paper was an attempt to snowball adapted ICTs tools to climate change adaptation strategies as an innovating way to sustain food security and climate resilience community. The recommended tools should cover agronomic data capture, on-farm data visualization, machine learning analysis, meteorological data curation, crop modeling and seasonal climate forecasting.

Knowledge Management Practices and Skill Acquisition Among Academic Staff in Selected Federal Universities in Southwest, Nigeria

In achieving sustainable organisational goals, efficient Knowledge Management Practices (KMP) are crucial to managing businesses and educational institutions as KMPs focus on bridging the skill gaps among the employees. However, the challenge of Poor knowledge management which has consistently plagued the workforce at public universities, leading to a lack of required skills has necessitated research into the core area of educational development in Nigeria. This study investigated the effect of Knowledge Management Practices (KMPs) on the skill acquisition of academic staff of selected Federal Universities in South‐West, Nigeria. The study adopted a survey research design and data were collected using a structured questionnaire from 884 respondents out of the total population of 5720 academic staff of the Federal University in South West Nigeria. The stratified sampling technique was employed in the selection of the sample size. The study objectives were analyzed using both descriptive (Mean and Standard Deviation) and inferential statistics Partial Least Square in Structural (PLS) Equation Modelling. The result of the first objective showed a significant and positive relationship between academic knowledge management practices and skill acquisition in higher institutions in South West, Nigeria. The path coefficient revealed (β =0.461, t = 14.589, P < 0.05). The study concludes that KMPs are a strong predictor of skill acquisition. Therefore, the study recommends that University management should endeavour to improve their knowledge management practices to improve the skill acquisition among their academic staff. They should provide support for developing their academic staff through training which can improve their knowledge base.

THE PLACE AND ROLE OF KNOWLEDGE MANAGEMENT IN A SUSTAINABLE ORGANIZATION FROM THE SOFTWARE ENGINEERING BRANCH

The tremendous growth of both market and customer requirements determines the projects in the software engineering branch to be characterized by complexity, dynamic and agility. As the significant results of the projects lead further to the sustainability of the organization, an important indicator of evolution is represented by how knowledge is treated within the organization and further transferred to the outside. There are multiple ways to operate projects from the software engineering branch and most of them are based on documented academical approaches as Agile Methodology or Waterfall Model, which present a different set of characteristics. However, this article studies, in an exploratory framework, how knowledge is gathered based on the approach of the project. This investigation might come at hand for those professionals that are willing to improve the project management framework by addressing those areas where a deep analysis of each process could help building a more efficient knowledge management in the organization. In addition to the contributions of understanding what’s happening with the knowledge in software engineering projects, this investigation can be used, as well, for researches about an organization’s sustainability.

Integrating knowledge management and dynamic capabilities through TISM modeling and meta-analysis

PurposeThis paper aims to explore the interaction between knowledge management (KM) and dynamic capabilities (DCs) to identify the factors that attribute to their integration. The amalgamation of the DC and KM will result in a firm’s superior performance. This study will, therefore, use meta-analysis to identify the factors and use the “total interpretive structural modelling (TISM)” to establish the hierarchy and inter-relationships concerning the identified factors.Design/methodology/approachThe research in this paper uses an exploratory design. This entails reviewing the literature on KM and DCs by adopting a scientific methodology, i.e. meta-analysis. A structural interpretive framework has been developed based upon the identified factors. Further, TISM modelling has been used to develop a classified arrangement of these factors to validate the framework.FindingsOverall, 15 factors related to KM and DCs, based upon 220 empirical studies have been identified. The validated framework, based upon heterogeneous factors, describes how the interactions between KM and DCs can facilitate a competitive advantage.Research limitations/implicationsThis study contributes towards the discussion of how efficient management of knowledge is defining the DCs of firms for improved innovation and performance. It provides practitioners with an insight into the directional linkages towards the competitive performance based on the interactions of KM and DCs. For researchers, the study could serve as an initial outline for interpretation of the linkages and theory building concerning KM and DCs, as the proposed framework draws upon scientific review and expert interpretations.Originality/valueThe framework is the result of the qualitative modelling technique based upon the heterogeneous factors derived out of the meta-analysis. It will provide meaningful insight into the field of KM and DCs. The derived framework shall help corroborate the opinion of experts with the literature in the field of strategy and management.

Knowledge management challenges: case study of the R&D project-based organization delivering military products

The paper discusses challenges related to barriers and opportunities in knowledge management of military R&D projects conducting at project-based organizations. Analysis of the case study highlights that efficient knowledge management system consists of formal and informal elements. The first one is related to: internal organization regulations, defined processes, applied project management methodologies, good practices, supporting software, data bases and other ICT tolls. The mentioned solutions are well developed in the case study and create numerous opportunities in knowledge management. Crucial barrier of knowledge transfer in formal part is a need of ensuring a high level of security regarding product or manufacturing documentations, both inside organization and in business partners constituting the supply chain. The case study presents that informal elements of knowledge management system (people's behavior or habits, form of internal and external communication, abilities to delivery and use a lessons-learned etc.) are challenging being crucial field of further improvements.

Expanding the current tacit/explicit knowledge dichotomy encompassing situated and theoretical/normative knowledge: a phenomenological perspective

PurposeThis article introduces a model of knowledge creation in consciousness, the creation of explicit knowledge in six forms and its register and organisation in documents.Design/methodology/approachAssuming the premise of three realms of reference to knowledge and two forms of reference to entities, this article, through a phenomenological perspective, deduces a model of the creation of knowledge in consciousness and the creation of explicit knowledge in six forms and its register in documents.FindingsTwo basic types of knowledge are introduced: situated knowledge and theoretical/normative knowledge. Considering three realms of reference of knowledge – the space–time realm, subjectivity realm and linguistic realm – six general types of knowledge are deduced. Finally, three layers of knowledge organisation are presented: classification and mapping documents, theoretical/normative documents and documents of situations.Practical implicationsThis article can contribute to the development of more efficient forms of creation of explicit knowledge, its register in documents and the development of more efficient knowledge organisation and management systems.Originality/valueRelying on established perspectives of the realms where subjectivity is immersed, this article discusses how knowledge is created in consciousness and registered in documents. It also presents a novel perspective of types of knowledge through the combination of dimensions, realms of reference and forms of reference to entities.

Knowledge Mobilization in Agile Information Systems Projects: A Literature Analysis

This study focuses on how knowledge is mobilized in agile information systems (IS) projects. One crucial success factor of those projects is to mobilize knowledge through different knowledge management processes. It is vital to establish efficient knowledge management (KM) processes to generate a knowledge culture based on transparency and communication. Communication channels, digital tools, and platforms are essential for establishing a KM infrastructure supporting the knowledge work of the project organization. Thus, each IS implementation team should maintain a knowledge base and a knowledge potential at some level. However, this is not always the case. We conducted a literature review to survey the extant research on the role of KM in agile system development projects. The agile approach is often associated with the networking model and tacit knowledge. The findings indicate that the agile approach is supposed to promote KM. While tacit knowledge is rooted in the analogue process of continuous actions and informal communication, explicit knowledge is captured in digital records of documentation and databases. In KM, the personalization model (behavioural, networking) and the codification (technocratic, repository) model is central. The choice of system development method (agile versus plan-driven) influences how knowledge is mobilized in the project organization. An agile approach heavily relies on informal communication, tacit knowledge sharing, and light documentation. In contrast, the plan-driven methods such as the waterfall approach generate more explicit knowledge through documentation. Communities of practice are important structures for transforming from plan-driven to agile approaches. We present a framework showing specific challenges the literature identifies concerning the efficient mobilization of knowledge in the agile context. For large-scale agile projects, informal coordination mechanisms were important. This study identifies several measures for overcoming barriers and risks for knowledge sharing in the agile context.