Academic literature on the topic 'Knowledge management technologies Paper type Research paper'
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Journal articles on the topic "Knowledge management technologies Paper type Research paper"
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Parvin, Hashemi, Khadivar Ameneh, and Shamizanjani Mehdi. "Developing a domain ontology for knowledge management technologies." Online Information Review 42, no. 1 (2018): 28–44. https://doi.org/10.1108/OIR-07-2016-0177.
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This paper contributes to filling this gap and considers KMprocesses, KM strategy and stages of growth for KMtechnologies simultaneously to choice the KM technologies and there exists no formal ontology regarding KM technologies.
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Blanas, George N. "Knowledge Acquisition and Management Skills Development." Industry and Higher Education 16, no. 5 (2002): 307–14. http://dx.doi.org/10.5367/000000002101296469.
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Improvements in students' capabilities and advances in their learning maturity through the use of groupware technologies in management teaching can be Monitored via a Capability Maturity Model (CMM). During an academic semester, decisions on the type and intensity of technologies used can determine the added – or subtracted? – value in management capabilities developed by students. This paper presents the findings of a research project at the TEI of Larissa that is closely coupled with the European Commission's European Engineering Manager (EEM) and Virtual Development for Europe (VIDEEO) pilot projects. Based on case studies of student groups, the paper demonstrates the usefulness of the CMM in evaluating the effectiveness and learning outcomes of group assignment projects.
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Bureš, Vladimír, David Griffin, Denisa Hackett, Peter Kročitý, and Erik Kubička. "RETHINKING OF KNOWLEDGE MANAGEMENT INTRODUCTION AT TEACHING UNIVERSITIES: THE FRAMEWORK DEVELOPMENT." Problems of Education in the 21st Century 32, no. 1 (2011): 33–46. http://dx.doi.org/10.33225/pec/11.32.33.
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The rapid penetration of information and communication technologies has been the main factor responsible for significant changes in the overall business landscape. Knowledge management (KM) implementation and building of learning organizations have become vital assumptions for a company’s ability to compete in a knowledge society. However, in regards to these issues a lack of attention has been paid to universities as a specific type of organization. The essential problem to be addressed is the tendency of institutions of higher learning to keep knowledge to themselves, which has been proven by several authors. Therefore, questions such as, “Are businesses different from universities? or “What does it imply for the KM implementation efforts at universities?” are considered in the paper. The goal of the paper is to map the changes in today’s business environment, research differences between the functions and processes in businesses and academic institutions in the Czech Republic and Slovakia, and, based on these findings, propose a framework for knowledge management implementation focusing on a special type of academic institution – a teaching university. Consequently, this study can serve as a starting point for implementation of a student-centred approach to knowledge management. Key words: framework, knowledge management, knowledge sharing, students, university.
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Vandana Kalra. "Coupling NLP for Intelligent Knowledge Management in Organizations: A Framework for AI-Powered Decision Support." Journal of Information Systems Engineering and Management 10, no. 10s (2025): 23–28. https://doi.org/10.52783/jisem.v10i10s.1337.
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Knowledge management (KM) is crucial component for business development in modern enterprises and this type of management is facilitated through technology. Nevertheless, conventional knowledge management systems (KMS) face problems concerning, but not limited to, information silos, difficulty in accessing data, and the complexity in managing unstructured data. As new advancements are made towards Natural Language Processing (NLP), Artificial Intelligence (AI) technologies that allow for contextual knowledge discovery, intelligent search, automated summarization, and real time content classification become readily available. This research analyzes the application of NLP systems concerning their integration with knowledge systems in business, information retrieval, enterprise search, and knowledge recommendation systems. For these integrations to be successful, Name Entity Recognition (NER), semantic search, Retrieval-Augmented Generation (RAG), Optical Character Reader (OCR), and Explainable AI (XAI) technologies need to be utilized. This will assure that decision-making processes are secure and ethical. This paper also presents an NLP-Driven Knowledge Management Framework (NLP-KMF), which is a novel framework that helps manage knowledge. The paper discusses the real-world usage of NLP-powered knowledge management in corporate learning, customer service, and compliance with Google, Accenture, IBM, and JPMorgan Chase serving as the centers of case studies. Strategies to counter issues such as AI bias and misinformation alongside privacy threats are discussed as well. The last section of the paper analyzes the forthcoming research areas that could include topics such as multimodal AI for knowledge management, AI repositories that continuously learn, and decision intelligence driven by AI. This serves as a constructive and precise plan for organizations that wish to evolve from static knowledge databases to dynamic self-adapting AI systems.
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Alstete, Jeffrey W., and Nicholas J. Beutell. "Designing learning spaces for management education: a mixed methods research approach." Journal of Management Development 37, no. 2 (2018): 201–11. http://dx.doi.org/10.1108/jmd-08-2017-0247.
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Purpose The purpose of this paper is to focus on connecting recent conceptualizations of learning space design in management education by examining interior building and classroom design. Design/methodology/approach This study used mixed methods research: external benchmarking with same industry institutions (n=5) and two surveys of students (n=131) and faculty members (n=38). Findings The process helped to envision how a business school could improve by adapting design aspects from industry peers, understanding the needs of students and faculty, and incorporating new teaching methods and instructional technologies to inform learning space solutions. Research limitations/implications The small number of external benchmarking partners may make the findings more applicable to the institutional type examined. Yet, the findings and the mixed methods research have implications for learning space design more broadly. Practical implications With the business school building boom, the external architecture of new buildings appears to garner much of the attention. However, the researchers believe that the real impact of new business schools is the centrality of interior learning space design and technology. Originality/value This paper uses a mixed methods research approach to examine learning space theory and research in relation to a particular business school’s efforts to use this knowledge to design learning spaces in a new building.
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Hall, Stephen. "Knowledge Management for the Micro Enterprise: A Taxonomy." European Conference on Knowledge Management 24, no. 1 (2023): 491–98. http://dx.doi.org/10.34190/eckm.24.1.1268.
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Knowledge Management Systems enhance innovation, increase operational efficiency, and improve decision-making in business organisations. The administrative and resource overheads required to implement and maintain such systems, however, inherently exclude the smallest of firms from reaping these benefits. This paper aims to identify, evaluate, and summarize the distribution of research on knowledge management and supporting systems across business size classifications with a particular focus on micro-enterprises. It also seeks to establish if existing knowledge management models, practices, and systems have invested due consideration in their design to cater for the limited resources typically found in the micro-enterprise. It contributes new insight into the applicability of knowledge management systems to micro-enterprises and stimulates a possible re-think of how such systems can cater for the specific constraints of this prolific business type. This taxonomy provides a thorough analysis of 168 research papers from a total of 10511 papers published in reputable conference proceedings since 2012. It focuses on key knowledge management themes covered, including the size of the enterprise, the adoption challenges, the potential benefits, the technologies used, and the aspects of the knowledge management cycle that are being employed. Furthermore, it draws on this analysis to highlight the appropriateness of existing knowledge management systems to the distinctive risk and opportunity characteristics of the micro-enterprise.
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Manjunath, Kamath, and Kumar Anil. "7 E's of Constructivism in E-learning Skills of University Faculty." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 7, no. 1 (2023): 62–73. https://doi.org/10.5281/zenodo.7582988.
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<strong>Purpose</strong>: <em>The goal of this research paper is to stress on the Information Technology skill of the University Faculty in achieving 7 Es of constructivist E-Teaching/Learning process.</em> <strong>Methodology</strong>: <em>It also uses secondary data of well-known books, reputed journal articles, authentic websites and popular reports. Based on observations from the research papers also we have found that 7Es constructivist learning is better than traditional instruction-based learning.</em> <strong>Findings</strong>: <em>The analysis shows that the skill component of education should be taken very seriously. The very application of Information and Communication Technology (ICT) skill has achieved good results in achieving better learning outcomes with reference to knowledge management processes like knowledge acquisition, storage, distribution and use. This has encouraged the majority of people or communities to share, clarify and improve contents using technologies. Constructivism must employ one or more techniques like problem solving, Role playing, Discussion and simulations along with models like 7Es or 4As to construct new knowledge from existing knowledge for future learners so that innovations help learning process for easy or less time- consuming activity.</em> <strong>Research limitations/implications:</strong> <em>Total change of existing education/training system is beyond one person or small community. But incremental reform steps can be taken so that the future is less cumbersome and living is easy.</em> <strong>Originality/value:</strong> <em>Past experiences have shown us that technological advancement does not come easily, it is conjugation of constant skill application and research. This study addresses the importance of skill generated from learning/teaching concepts in the education sector and how it can be enhanced through various innovative teaching/learning ways.</em> <strong>Paper type: </strong><em>Case study paper</em>
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Lecomte, Patrick. "iSpace: principles for a phenomenology of space user in smart real estate." Journal of Property Investment & Finance 38, no. 4 (2019): 271–90. http://dx.doi.org/10.1108/jpif-07-2019-0091.
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Purpose As smart technologies become an integral part of real estate in smart cities, the purpose of this paper is to explore the impact of ubiquitous computing on space users in smart real estate. Design/methodology/approach The analysis builds on two fields of knowledge rarely referenced in real estate studies: computer sciences and social sciences. The paper starts by analysing the idiosyncrasies of a new type of space user in smart real estate, known as the Cyber-dasein in reference to Heidegger’s phenomenology. The Cyber-dasein serves as an archetypical space user in smart environments. Findings The paper introduces digital-time as a new realm of real estate, and discusses the use of “experienced utility” in hedonic pricing models of smart real estate. It concludes by advocating a multidisciplinary collaborative approach for future research on real estate in smart environments. Practical implications There is a need for the real estate sector to decide on a metric for the new digital dimension of real estate owing to the implementation of smart technologies in the built environment. Originality/value This is the first research paper on this important topic. It is totally original and new.
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Bembenek, Boguslaw. "RFID within High-Tech Clusters – Towards a Knowledge-Based Economy." Economics and Business 28, no. 1 (2016): 52–60. http://dx.doi.org/10.1515/eb-2016-0008.
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Abstract - The concept of knowledge-based economy (KBE) in this article constitutes the basis for the undertaken considerations regarding the implementation of Radio Frequency Identification (RFID) technology in the development process of high-tech clusters. It has been indicated in the article that this type of economy is characterised by quick development, particularly, of these disciplines which are related to information processing and science development, mainly the high-tech industry, including the technologies and services of an information society. It has been emphasised that in these market conditions the key sources of competitive advantage of business entities comprise, inter alia, the efficiency of knowledge management as well as various knowledge-intensive undertakings, which create newer and newer value for key stakeholders. The main subject of this paper is to analyse the development and application of RFID within the high-tech cluster. Firstly, the paper aims to present a literature review on the strategic importance of RFID technology for firms located in high-tech clusters through tracing a broad range of literature. Secondly, it constitutes an attempt to characterise the factors determining the decision to implement this technology, by focusing on the research results.
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Fernández, Gambín Ángel, Eduard Angelats, González Jesús Soriano, Marco Miozzo, and Paolo Dini. "Sustainable Marine Ecosystems: Deep Learning for Water Quality Assessment and Forecasting." IEEE Access 9 (September 1, 2021): 121344–65. https://doi.org/10.1109/ACCESS.2021.3109216.
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An appropriate management of the available resources within oceans and coastal regions is vital to guarantee their sustainable development and preservation, where water quality is a key element. Leveraging on a combination of cross-disciplinary technologies including Remote Sensing (RS), Internet of Things (IoT), Big Data, cloud computing, and Artificial Intelligence (AI) is essential to attain this aim. In this paper, we review methodologies and technologies for water quality assessment that contribute to a sustainable management of marine environments. Specifically, we focus on Deep Leaning (DL) strategies for water quality estimation and forecasting. The analyzed literature is classified depending on the type of task, scenario and architecture. Moreover, several applications including coastal management and aquaculture are surveyed. Finally, we discuss open issues still to be addressed and potential research lines where transfer learning, knowledge fusion, reinforcement learning, edge computing and decision-making policies are expected to be the main involved agents.
Books on the topic "Knowledge management technologies Paper type Research paper"
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Sil'vestrov, Sergey, Vladimir Starovoytov, Vladimir Bauer, et al. Strategic planning in the public sector of the economy. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1081855.
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This collective monograph continues a series of scientific studies and publications on the problems of strategic planning, which have been carried out for several years at the Financial University under the Government of the Russian Federation with the involvement of specialists from other scientific and educational organizations. A series of research papers in 2017-2019 was devoted to the analysis of strategic development risks and the analysis of global strategic planning practice, the general methodology of strategic planning and forecasting (including in the context of ensuring Russia's economic security), the approach to the formation of life cycles of preparation and revision of strategic planning documents and their comparative analysis, the experience of coordinating budget, project and process types of management and financing, monitoring risks and threats, the use of new information tools in the strategic planning complex, including blockchain, and also naturally develops such aspects of previous research as analysis of world practice, coordination of budget, project and process types of management and financing, the use of information technologies. However, at the same time, a special task was set — to approach a comprehensive analysis of the strategic planning process as a whole, especially to study its documentary support as the core of the organization of this process and the implementation of its results in the practice of public administration, as well as to analyze the scientific support of strategic planning as an essential aspect of all strategic planning and strategic management activities in the entirety of its aspects (goal setting, forecast, design, programming, planning, control and audit).
 It is intended for specialists from the humanities, natural sciences and technical fields of knowledge focused on management and development problems, for undergraduates and postgraduates, as well as for a wide audience of management practitioners, including those related to strategic planning processes in the public sector.
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Ray, Sumantra (Shumone), Sue Fitzpatrick, Rajna Golubic, Susan Fisher, and Sarah Gibbings, eds. Monitoring. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199608478.003.0013.
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This chapter discusses the role and responsibilities of monitors/CRAs seeking to improve awareness of their role in a global industry becoming more and more technologically focused. How the role is changing through the introduction of risk based monitoring. Often the only liaison between the Sponsor and each study site, CRAs are crucial to the successful completion of a clinical trial and need to be armed with appropriate knowledge and training to conduct their visits. Successful monitoring requires experience, people skills, management ability and knowledge – of the protocol, CRFs, study drug/device, therapeutic area, regulations and SOPs. In this chapter this spectrum of roles and responsibilities is presented in a concise and understandable format. Questions such as: What type of person makes a good monitor? EDC and/or paper? How – and how often – to monitor? are addressed. There are helpful tips and strategies on a variety of topics, notably preparing a monitoring plan; how to identify and assess potential investigators; preparing for a Study Initiation Visit; eCRFs and remote monitoring; thorough Source Data Verification; how to report monitoring visits plus example checklists associated with site visits and review of the Investigator Site File. The guidance provided in this chapter should help CRAs perform their essential role in encouraging good, high quality research - and provide an insight into the CRA role to those whose work is being monitored.
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Zydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.
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The aim of the paper was to determine the influence of root systems of chosen tree species found in the Polish Flysch Carpathians on the increase of soil shear strength (root cohesion) in terms of slope stability. The paper's goal was achieved through comprehensive tests on root systems of eight relatively common in the Polish Flysch Carpathians tree species. The tests that were carried out included field work, laboratory work and analytical calculations. As part of the field work, the root area ratio (A IA) of the roots was determined using the method of profiling the walls of the trench at a distance of about 1.0 m from the tree trunk. The width of the. trenches was about 1.0 m, and their depth depended on the ground conditions and ranged from 0.6 to 1.0 m below the ground level. After preparing the walls of the trench, the profile was divided into vertical layers with a height of 0.1 m, within which root diameters were measured. Roots with diameters from 1 to 10 mm were taken into consideration in root area ratio calculations in accordance with the generally accepted methodology for this type of tests. These measurements were made in Biegnik (silver fir), Ropica Polska (silver birch, black locust) and Szymbark (silver birch, European beech, European hornbeam, silver fir, sycamore maple, Scots pine, European spruce) located near Gorlice (The Low Beskids) in areas with unplanned forest management. In case of each tested tree species the samples of roots were taken, transported to the laboratory and then saturated with water for at least one day. Before testing the samples were obtained from the water and stretched in a. tensile testing machine in order to determine their tensile strength and flexibility. In general, over 2200 root samples were tested. The results of tests on root area ratio of root systems and their tensile strength were used to determine the value of increase in shear strength of the soils, called root cohesion. To this purpose a classic Wu-Waldron calculation model was used as well as two types of bundle models, the so called static model (Fiber Bundle Model — FIRM, FBM2, FBM3) and the deformation model (Root Bundle Model— RBM1, RBM2, mRBM1) that differ in terms of the assumptions concerning the way the tensile force is distributed to the roots as well as the range of parameters taken into account during calculations. The stability analysis of 8 landslides in forest areas of Cicikowicleie and Wignickie Foothills was a form of verification of relevance of the obtained calculation results. The results of tests on root area ratio in the profile showed that, as expected, the number of roots in the soil profile and their ApIA values are very variable. It was shown that the values of the root area ratio of the tested tree species with a diameter 1-10 ram are a maximum of 0.8% close to the surface of the ground and they decrease along with the depth reaching the values at least one order of magnitude lower than close to the surface at the depth 0.5-1.0 m below the ground level. Average values of the root area ratio within the soil profile were from 0.05 to 0.13% adequately for Scots pine and European beech. The measured values of the root area ratio are relatively low in relation to the values of this parameter given in literature, which is probably connected with great cohesiveness of the soils and the fact that there were a lot of rock fragments in the soil, where the tests were carried out. Calculation results of the Gale-Grigal function indicate that a distribution of roots in the soil profile is similar for the tested species, apart from the silver fir from Bie§nik and European hornbeam. Considering the number of roots, their distribution in the soil profile and the root area ratio it appears that — considering slope stability — the root systems of European beech and black locust are the most optimal, which coincides with tests results given in literature. The results of tensile strength tests showed that the roots of the tested tree species have different tensile strength. The roots of European beech and European hornbeam had high tensile strength, whereas the roots of conifers and silver birch in deciduous trees — low. The analysis of test results also showed that the roots of the studied tree species are characterized by high variability of mechanical properties. The values Of shear strength increase are mainly related to the number and size (diameter) of the roots in the soil profile as well as their tensile strength and pullout resistance, although they can also result from the used calculation method (calculation model). The tests showed that the distribution of roots in the soil and their tensile strength are characterized by large variability, which allows the conclusion that using typical geotechnical calculations, which take into consideration the role of root systems is exposed to a high risk of overestimating their influence on the soil reinforcement. hence, while determining or assuming the increase in shear strength of soil reinforced with roots (root cohesion) for design calculations, a conservative (careful) approach that includes the most unfavourable values of this parameter should be used. Tests showed that the values of shear strength increase of the soil reinforced with roots calculated using Wu-Waldron model in extreme cases are three times higher than the values calculated using bundle models. In general, the most conservative calculation results of the shear strength increase were obtained using deformation bundle models: RBM2 (RBMw) or mRBM1. RBM2 model considers the variability of strength characteristics of soils described by Weibull survival function and in most cases gives the lowest values of the shear strength increase, which usually constitute 50% of the values of shear strength increase determined using classic Wu-Waldron model. Whereas the second model (mRBM1.) considers averaged values of roots strength parameters as well as the possibility that two main mechanism of destruction of a root bundle - rupture and pulling out - can occur at the same. time. The values of shear strength increase calculated using this model were the lowest in case of beech and hornbeam roots, which had high tensile strength. It indicates that in the surface part of the profile (down to 0.2 m below the ground level), primarily in case of deciduous trees, the main mechanism of failure of the root bundle will be pulling out. However, this model requires the knowledge of a much greater number of geometrical parameters of roots and geotechnical parameters of soil, and additionally it is very sensitive to input data. Therefore, it seems practical to use the RBM2 model to assess the influence of roots on the soil shear strength increase, and in order to obtain safe results of calculations in the surface part of the profile, the Weibull shape coefficient equal to 1.0 can be assumed. On the other hand, the Wu-Waldron model can be used for the initial assessment of the shear strength increase of soil reinforced with roots in the situation, where the deformation properties of the root system and its interaction with the soil are not considered, although the values of the shear strength increase calculated using this model should be corrected and reduced by half. Test results indicate that in terms of slope stability the root systems of beech and hornbeam have the most favourable properties - their maximum effect of soil reinforcement in the profile to the depth of 0.5 m does not usually exceed 30 kPa, and to the depth of 1 m - 20 kPa. The root systems of conifers have the least impact on the slope reinforcement, usually increasing the soil shear strength by less than 5 kPa. These values coincide to a large extent with the range of shear strength increase obtained from the direct shear test as well as results of stability analysis given in literature and carried out as part of this work. The analysis of the literature indicates that the methods of measuring tree's root systems as well as their interpretation are very different, which often limits the possibilities of comparing test results. This indicates the need to systematize this type of tests and for this purpose a root distribution model (RDM) can be used, which can be integrated with any deformation bundle model (RBM). A combination of these two calculation models allows the range of soil reinforcement around trees to be determined and this information might be used in practice, while planning bioengineering procedures in areas exposed to surface mass movements. The functionality of this solution can be increased by considering the dynamics of plant develop¬ment in the calculations. This, however, requires conducting this type of research in order to obtain more data.
Book chapters on the topic "Knowledge management technologies Paper type Research paper"
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Capecchi, Irene, Gianluca Grilli, Elena Barbierato, and Sandro Sacchelli. "A Spatial Multi-criteria Decision Support System for Stress Recovery-Oriented Forest Management." In Smart and Sustainable Planning for Cities and Regions. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57764-3_12.
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AbstractA solution to cope with chaotic urban settlements and frenetic everyday life is refuging in nature as a way to reduce stress. In general—in recent years—it has been scientifically demonstrated how natural areas are an important environment for psycho-physiological health. As a consequence, it is important to plan dedicated spaces for stress recovery in order to increase the well-being of people. With respect to forests, there is a growing interest in understanding the marketing and tourist potential of forest-therapy activities and policies. This paper develops a decision support system (DSS) for decision makers, based on geographic information system to define the suitability of forest areas to improve psychological and physiological human well-being. Innovative technologies such as electroencephalography (EEG) and virtual reality (VR) are applied to test human status. The DSS combines four sets of indicators in a multi-attribute decision analysis and identifies the areas with the largest stress-recovery potential. Two multi-attribute model—one in summer and one in winter—are elaborated to obtain a dynamic evaluation of suitability. Results show significant differences among forest type, forest management, altitude range, and season in terms of stand suitability. EEG and VR seem to be promising technologies in this research area. Strengths and weaknesses of the approach, as well as potential future improvement and implications for territorial marketing, are suggested.
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Crespo Garrido, Irene del Rosario, María Loureiro García, and Johannes Gutleber. "The Value of a Collaborative Platform in a Global Project. The Indico Case Study." In Science Policy Reports. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60931-2_13.
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AbstractThe rise of collaborative platforms has revolutionized the way individuals and organizations interact. The impact perimeter embraces interpersonal communication, knowledge sharing, and collective problem-solving. Indico, a web-based platform providing a free event management system, designed, implemented, maintained, and operated by CERN is a prime example of such type of platform. It provides a range of features and benefits for organizations and individuals hosting events of any kind. Indico improves work efficiency by streamlining the event management processes, reducing manual effort, and saving time. It also leads to sustainable practices and cost savings by eliminating paper-based processes and minimizing physical infrastructure requirements. It enhances accessibility by offering virtual event options, enabling wider participation, and promoting inclusivity. The platform fosters interdisciplinary knowledge sharing and collaboration among event participants by serving as a persistent and durable repository of presentations, articles, minutes, and writeups, including publication and protection mechanisms. Making event-relating materials available online contributes to knowledge dissemination and advancing research and professional communities. Additionally, Indico can further contribute to environmental sustainability by reducing carbon emissions through virtual events and reducing the use of paper. The data management and reporting capabilities of Indico enable data-driven decision-making for future events and resource allocation. This article reports on the socio-economic value of the Indico platform. The presented work used the stated preferences approach to estimate the socio-economic value that can be expected from a collaborative platform that a future large-scale international research infrastructure will require and put in place for its purposes. The approach taken to monetarize the socio-economic impact produced by the platform is the Choice Experiment Method. The monetary values obtained amounts to about 3.1 billion CHF discounted for a period of 29 years (2028–2057).
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Bačkalov, Igor, Elimar Frank, Benjamin Friedhoff, et al. "Exploration and Synchronization of Greening of Shipping by Means of Retrofit: The SYNERGETICS Perspective." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89444-2_99.
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Abstract The “greening” of shipping remains a challenge despite the development of technologies aiming at decarbonisation and reduction of air-pollutant emissions. Considering a wide variety of ship types and applications, the choice of the most adequate greening solution for a ship of certain size, type, and operational profile is not straightforward. SYNERGETICS is a Horizon Europe Innovation Action which aims at supporting the greening of inland and coastal shipping by addressing the potentials of retrofit technologies. This paper presents first findings of SYNERGETICS which aim at establishing the synergies between the knowledge available from previous and ongoing research (“Exploration”) and the experiences gained from past and ongoing pilot projects (“Synchronization”). A comprehensive database of pilot projects containing 115 inland vessels and 50 coastal ships was created and analysed to establish and explain the trends in greening of inland and coastal shipping. It was found that most of the pilots in inland navigation are conducted on vessels with relatively low power demands and/or with low variations of operational profiles, while coastal shipping features a relatively low number of pilots. This increases the certainty for shipowners but limits the possibilities for scaling up the greening of shipping.
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Rūdolfa, Arta, and Linda Daniela. "Learning Platforms in the Context of the Digitization of Education: A Strong Methodological Innovation. The Experience of Latvia." In Makers at School, Educational Robotics and Innovative Learning Environments. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77040-2_28.
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AbstractThe modernization of the education system, the digitalization of the educational environment and learning management systems (LMS), where one of the solutions is learning platforms, are the most urgent directions today’s pedagogical work is taking to reap the benefits of the digital environment. Education quality can be improved in different ways: by changing the content of learning, forms of learning, learning methods and teaching aids; promoting the use of learning platforms in schools; introducing programming and robotics; using learning management systems and other systems. Technologies and digital solutions are transforming the educational landscape in technology-enhanced learning environments. On one hand, there are many possible solutions that provide technology-enhanced learning; while on the other, there is a need to transform educational processes, to transform competence in teaching, to analyze learning outcomes so that technology-enhanced environments can support knowledge construction. The authors of this paper analyze the results of research on learning platforms, in which several research methods were used: systematic literature analyses; development of learning platform evaluation tools; analyses of learning platforms; and surveys on teachers’ attitudes to learning platforms. Altogether 705 teachers expressed their opinion on using learning platforms as a tool for enhancing knowledge construction, providing feedback and analyzing students’ learning results. In this paper, the authors will discuss the results of analyses on nine learning platforms developed in Latvia, conducted using an evaluation tool with 22 criteria and 43 sub-criteria.
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Huet, Armand, Romain Pinquie, Philippe Veron, Frederic Segonds, and Victor Fau. "Design Rules Application in Manufacturing Industries: A State of the Art Survey and Proposal of a Context-Aware Approach." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_53.
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Abstract[Context] In manufacturing industries, the design of a product needs to comply with many design rules. These rules are essentials as they help industrial designers to create high quality design in an efficient way. [Problem] However, the management of an ever-increasing number of design rules becomes a real problem, especially for new designers. Even if there exists some knowledge management tools for design rules, their capabilities are still limited and many companies continue to store their design rules in unstructured documents. Nowadays, design rule application is still a difficult task that needs a circular validation process between many expert services in a manufacturing company. [Proposition] In this paper, we will analyze the main existing approaches for design rules application from which we will demonstrate the need of a new approach to improve the current state-of-the-art practices. To minimize rule application impact on the design process, we propose to develop a Context-Aware Design Assistant that will perform design rule recommendation on the fly while designing using computer-aided technologies. Our Design Assistant relies on the modelling of the design rules and the design context in a single knowledge graph that can fuel a recommendation engine. [Future Work] In future work, we will describe the technical structure of the Context-Aware Design Assistant and develop it. The potential outcome of this research are: a better workflow integration of design rules application, a proactive verification of design solutions, a continuous learning of design rules, the detection and automation of design routines.
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Chokkalingam, Sivamathi, and Vijayarani S. "Research Challenges in Big Data Analytics." In Advances in Business Information Systems and Analytics. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0293-7.ch004.
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The term Big Data refers to large-scale information management and analysis technologies that exceed the capability of traditional data processing technologies. Big Data is differentiated from traditional technologies in three ways: volume, velocity and variety of data. Big data analytics is the process of analyzing large data sets which contains a variety of data types to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. Since Big Data is new emerging field, there is a need for development of new technologies and algorithms for handling big data. The main objective of this paper is to provide knowledge about various research challenges of Big Data analytics. A brief overview of various types of Big Data analytics is discussed in this paper. For each analytics, the paper describes process steps and tools. A banking application is given for each analytics. Some of research challenges and possible solutions for those challenges of big data analytics are also discussed.
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Chatsiwa, Jaison, Never Mujere, and Avhatendi Bethania Maiyana. "Municipal Solid Waste Management." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9723-2.ch002.
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The rapid increase in urban population has resulted in poor environmental conditions in urban and peri-urban settlements. In most developing countries, the problem of inefficient municipal solid waste management (MSWM) is endemic. The problem manifests in heaps of uncollected solid waste or ubiquitous illegal dumps on open areas and by the street sides. This paper examines issues of solid waste management practices in the City of Kwekwe in Zimbabwe. It highlights types of waste, its generation, transfer and disposal. A mixed methodological approach including field observations, structured questionnaire survey and face-to-face interviews were employed in the gathering of data for the study. The key findings established to be the factors affecting effective solid waste management in the City are irregular solid waste collection, inadequate operational funding, inappropriate technologies, inadequate staffing, lack of knowledge cooperation and knowledge on the part of the residents. Based on the research findings, principles of environmental stewardship need to be promoted in the City.
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Freeman, Mark. "Fire, Wind and Water." In Cases on Emerging Information Technology Research and Applications. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3619-4.ch009.
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This case examines the issue of increasing adoption of Social Networking Technologies (SNTs), particularly microblogging, for emergency management practices during natural disasters. It discusses the technologies and how they are an integral part of information transfer for citizens in the geographic region affected by the natural disaster. This case presents the progression of how SNTs have been used during and in the aftermath of natural disasters in Australia between 2009 and 2011; these events are used as ‘organization’ for the paper. Accurate and timely information during natural disasters is essential in providing citizens with details about whether they should stay or leave an area. Traditionally, information was provided through television and radio broadcasts; however, these types of communications were one-way and only allowed for the push of information to citizens. SNTs are being used by the media and emergency organizations to provide information to citizens. These technologies are dynamic in their approach, allowing for knowledge sharing of all parties involved.
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Leenen, Louise, and Thomas Meyer. "Semantic Technologies and Big Data Analytics for Cyber Defence." In Information Retrieval and Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch061.
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The Governments, military forces and other organisations responsible for cybersecurity deal with vast amounts of data that has to be understood in order to lead to intelligent decision making. Due to the vast amounts of information pertinent to cybersecurity, automation is required for processing and decision making, specifically to present advance warning of possible threats. The ability to detect patterns in vast data sets, and being able to understanding the significance of detected patterns are essential in the cyber defence domain. Big data technologies supported by semantic technologies can improve cybersecurity, and thus cyber defence by providing support for the processing and understanding of the huge amounts of information in the cyber environment. The term big data analytics refers to advanced analytic techniques such as machine learning, predictive analysis, and other intelligent processing techniques applied to large data sets that contain different data types. The purpose is to detect patterns, correlations, trends and other useful information. Semantic technologies is a knowledge representation paradigm where the meaning of data is encoded separately from the data itself. The use of semantic technologies such as logic-based systems to support decision making is becoming increasingly popular. However, most automated systems are currently based on syntactic rules. These rules are generally not sophisticated enough to deal with the complexity of decisions required to be made. The incorporation of semantic information allows for increased understanding and sophistication in cyber defence systems. This paper argues that both big data analytics and semantic technologies are necessary to provide counter measures against cyber threats. An overview of the use of semantic technologies and big data technologies in cyber defence is provided, and important areas for future research in the combined domains are discussed.
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Vijay Kumar, G., M. Sreedevi, Arvind Yadav, and B. Aruna. "A Comprehensive Assessment on IOT Devices with Data Mining Techniques." In Recent Trends in Intensive Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210211.
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Now at present development the entire world using vast variety of smart devices associated among sensors & handful of actuators. There is an enormous progress within the field of electronic communication; processing the data through devices and the bandwidth in internet technologies makes very easy to access and to interact with the variety of devices all over the whole world. There is a wide range research in the area of Internet of Things (IoT) along Cloud Technologies making to build incredible data which are creating from this type of heterogeneous environments and can be able to transform into a valuable knowledge with the help of data mining techniques. The knowledge that is generated will takes a crucial role in making intellectual decisions and also be a best possible resource management and services. In this paper we organized a comprehensive assessment on various data mining techniques engaged with small and large scale IoT applications to make the environment smart.
Conference papers on the topic "Knowledge management technologies Paper type Research paper"
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Aluthwala, Amila, and Shermila Wickramarathne. "Research of How Artificial Intelligence Impact on Project Risk Management." In 12th IPMA Research Conference “Project Management in the Age of Artificial Intelligence”. International Project Management Association – IPMA, IPMA USA, 2024. http://dx.doi.org/10.56889/bxxm1057.
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This research paper is focused on studying how Artificial Intelligence (AI) will impact Project Risk Management. Today, Artificial Intelligence is essential in the field of Project Risk Management. Artificial intelligence (AI) is the recreation of human intelligence processes by machines, especially computer systems.(opendatasoft, 2024) AI automates repetitive learnings and discovery through data and also furthermore frequent, high-volume, computerized tasks are performed by AI instead of automating manual tasks.(sas.com, 2024) This research model is based on the theoretical risk management framework proposed in the Project Risk Management Knowledge area in PMBOK 6. A depth investigation is conducted to determine different types of available modern AI technologies and their general application to project risk management. The identified AI technologies are then cannibalized in accordance with the segments provided in PMI project risk management framework. Furthermore, this research goes on to recognize and discuss the theoretical advantages and disadvantages of such applications in Project Risk Management context. Other than that, ethical and legal considerations when applying these technologies in real world scenarios in the Project Risk Management field are also discussed in this paper. Opportunities for future research also listed as supplementary analysis at the end of the research.
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Breindel, Jay T., Ian R. Grosse, Sundar Krishnamurty, et al. "Towards Industrial Implementation of Emerging Semantic Technologies." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48520.
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Every new design, project, or procedure within a company generates a considerable amount of new information and important knowledge. Furthermore, a tremendous amount of legacy knowledge already exists in companies in electronic and non-electronic formats, and techniques are needed for representing, structuring and reusing this knowledge. Many researchers have spent considerable time and effort developing semantic knowledge management systems, which in theory are presumed to address these problems. Despite significant research investments, little has been done to implement these systems within an industrial setting. In this paper we identify five main requirements to the development of an industry-ready application of semantic knowledge management systems and discuss how each of these can be addressed. These requirements include the ease of new knowledge management software adoption, the incorporation of legacy information, the ease of use of the user interface, the security of the stored information, and the robustness of the software to support multiple file types and allow for the sharing of information across platforms. Collaboration with Raytheon, a defense and aerospace systems company, allowed our team to develop and demonstrate a successful adoption of semantic abilities by a commercial company. Salient features of this work include a new tool, the e-Design MemoExtractor Software Tool, designed to mine and capture company information, a Raytheon-specific extension to the e-Design Framework, and a novel semantic environment in the form of a customized semantic wiki SMW+. The advantages of this approach are discussed in the context of the industrial case study with Raytheon.
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Luís-Ferreira, Fernando, Sudeep Ghimire, Milan Zdravkovic, and Ricardo Jardim-Goncalves. "Towards the Framework for the Design of Human Centric Internet of Things." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38278.
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The research and development of Internet of Things (IoT) paradigm, encompassing different related concepts and technologies, such as Cyber Physical Systems and Wireless Sensor Networks, is currently facing the challenges related to a lack of possibilities to de-verticalize the market of devices. These challenges were caused by incoherent development of the different standards, models and languages for the devices operations, hence dramatically reducing their capability to interoperate. It is our belief that these challenges can be overcome by the design in which the devices networks are functioning by following the principles of human communication. In this paper, we propose a framework to support Knowledge Management of a human-centric IoT, while considering the different enabling factors in anthropomorphic approach, such as awareness, perceptivity and physiological enrolment. This framework takes into account a new type of data, a sensorial physiological data that is assumed to enrich the expressivity of devices and thus, enable more accurate and complete perception of the signals, transmitted by the devices.
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Marković, Stefan, Vera Rašković, and Osman Musić. "AGRICULTURAL PRODUCTION CONCEPTS THAT CONTRIBUTE TO SUSTAINABLE LAND MANAGEMENT." In Global Challenges Through the Prism of Rural Development in the Sector of Agriculture and Tourism GIRR 2024. Academy of Applied Studies Šabac, 2025. https://doi.org/10.46793/girr25.132m.
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Aware of the negative impact that agricultural production has on the environment, especially on the soil, alternative systems of agricultural production have been developed. It combines traditional knowledge characteristic of conservation agriculture and organic agriculture, but also modern technologies important for urban and precision agriculture, in order to manage the land in the best possible way. The biggest consequences of conventional agricultural production on the soil are: decrease in the content of organic matter, deterioration of the structure, soil compaction and contamination, salinization, alkalization, acidification. The aim of the paper is to present different concepts (forms) of agricultural production systems that can contribute to the preservation of soil and the environment, some of them, Urban Agriculture and Precision Agriculture. What they all have in common is that they are in line with the objectives of Good Agricultural Practice (GAP). Contemporary domestic and foreign literature was used in the research, which deals with the issue of sustainable land management primarily from an agronomic point of view, but also considers the economic, social and ecological importance. The results show that when deciding which system of plant production is the most acceptable for a certain area, several factors must be taken into account, such as: production characteristics of the soil, reef, ecological conditions, intensity and type of plant production, economic strength of the farm, even the educational structure of the holder of the farm and the mentality of the population in the rural environment. Farmers willingness to switch from convectional production to systems that will improve soil properties is conditioned by their recognition that they will realize financial benefits. The speed of recognition will depend on the institutional measures taken through education, financial support for the transition to some of the mentioned systems and appropriate legal regulations that will support all of the above.
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Bartlett, Angela, Mike Davies, Peter Burgess, and Gavin Coppins. "Integrating History and Measurement Into a Case for Site Release." In ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59131.
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The United Kingdom nuclear research programme started in the 1940s. Research Sites Restoration Limited (RSRL) is responsible for the restoration of two sites which were at the forefront of this research, under a programme funded by the UK Nuclear Decommissioning Authority (NDA). These are the 100 hectare Harwell site in Oxfordshire and the 84 hectare Winfrith site on the south coast of England. The work performed on these sites covered a huge range of nuclides, combinations of nuclides, chemical and physical processes, far more complicated than a power station, for example. The sites have a complex history with records of hundreds of buildings, many kilometres of drainage systems, groundwater contamination issues and land areas which require remediation. Formal work towards site release began in the 1990s, but demolition and clearance for re-use started many years earlier. An efficient restoration programme requires appropriate quality data. It is vital to decide what you need to know and how well you need to know it. As part of this, a challenging number of factors need to be considered in its design. This paper discusses these factors using the examples of the approach used at the Harwell and Winfrith sites including: • historical knowledge and associated uncertainties; • relevant clearance criteria; • availability and limitations of surveying equipment; • effective targeted and validation sampling with appropriate analytical methods; • data capture and analysis techniques; • effective communication between RSRL and the relevant technical teams; • mapping technologies (Global Positioning Systems, Geographical Information Systems); • use of Babcock’s IMAGES land quality software tool; • integration of the above over long time scales. The RSRL programme of works at the Harwell and Winfrith Sites is producing large volumes of different types of information from decommissioning, site investigation and remediation projects. This will be required to be accessible and understandable to support the process of site release which will continue over many years. The paper illustrates the methods by which RSRL is using effective knowledge management to compile a verifiable record to support site release as the site restoration works progress.
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Skyrius, Rimvydas. "Business Decision Making." In 2001 Informing Science Conference. Informing Science Institute, 2001. http://dx.doi.org/10.28945/2368.
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Significant recent research in the decision support area has been concentrating on the human side of the person-technology relation. Knowledge, perceptions, beliefs and experiences have been researched in a number of works. The author has used individual interviews with business decision makers to find out their attitudes towards factors influencing the quality of business decisions. The issues discussed included features of actual right and wrong decisions, role of information sources and analytical tools, factors influencing creativity, and the role of information technology. The findings have shown that in the decision making process, available knowledge is used and new knowledge is created, and these processes are preferred to be supported by simple yet efficient support tools. The information environment surrounding business activities is getting increasingly complex. The important reasons for this complexity are: growing volumes of information of potential relevance to certain business activities; increasing number of sources of such information; and multiplying technologies for handling data and information. This is particularly true for decision making which has to encompass all relevant data, information and decision maker's knowledge to make quality decisions. Alongside with technologies for handling data and information, lately much attention has been given to knowledge management (KM) models and relations between data, information and knowledge. In knowledge-intensive activities, such as decision support, these relationships are important in terms of efficient utilisation of information resources, and especially those supported and facilitated by IT with its present capabilities. The aim of this paper is to take a look at the relations between data, information and knowledge in the context of managerial decision making, and professional learning and experience. These issues are discussed on the basis of surveys and interviews, conducted among small and medium enterprise (SME) decision makers in Lithuania in 1997-1999. The key questions of the survey have been: how important IT has become for management activities, regarding in the first place decision support, and how does it affect creativity and knowledge development. The synergy between technology and the user has been recognized to work in the areas such as using existing experiences and creating new ones on a problem and decision; working out the decision schema; stimulating creativity; capturing the details and specifics of the decision process for further uses. While IT is and can be efficiently used to manage data and information, the actual use of what is in decision support environment sometimes called stored knowledge - preprogrammed procedures for certain types of situations, sets of models, reusable queries - is rather limited. Instead, the survey has shown that decision makers prefer relatively simple tools and techniques that allow them to perform iterative buildup of decision support points towards a sufficient set to make a decision. Under a problem situation, existing practices are repeatedly tested. In the process, new associations and mental models may appear, expanding existing knowledge as well as creating new knowledge. The responses have shown that the presence of simple yet efficient decision support tools is welcome by the decision makers as having a potential to gain more with less - to provide more confidence and insurance from fatal decision mistakes, at the same time reducing the need to do extensive training, radically change existing beliefs or invest heavily into sophisticated technologies. In addition, such tools serve as support for managerial learning process and knowledge exchange, especially in the process of creativity stimulation where analogies, real-life and hypothetical situations, brainstorming and bias elimination techniques are used.
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Jovanovic´, Mlađan, Dusˇan Starcˇevic´, and Zoran Jovanovic´. "Software Support for Ground Control Station for Unmanned Aerial Vehicle." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86456.
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Uninhabited vehicles can be used in many applications and domains, particularly in environments that humans cannot enter (e.g. deep sea) or prefer not to enter (e.g. war zones). The promise of relatively low cost, highly reliable and effective assets that are not subject to the physical, psychological or training constraints of human pilots has led to much research effort across the world. Due to technological advances and increasing investment, interest in Unmanned Aerial Vehicles (UAVs) as a practical, deployable technological component in many civil applications is rapidly increasing and becoming a reality, as are their capabilities and availability. UAV platforms also offer a unique experimental environment for developing, integrating and experimenting with many other technologies such as automated planners, knowledge representation systems, chronicle recognition systems, etc. UAV performs various kinds of missions such as mobile tactical reconnaissance, surveillance, law enforcement, search and rescue, land management, environmental monitoring, disaster management. UAV is a complex and challenging system to develop. It operates autonomously in unknown and dynamically changing environment. This requires different types of subsystems to cooperate. In order to realize all functionalities of the UAV, the software part becomes very complex real-time system expected to execute real-time tasks concurrently. This paper describes proposed software architecture for GCS (Ground Control Station) for lightweight UAV purpose-built for medium-scale reconnaissance and surveillance missions in civil area. The overall system architecture and implementation are described.
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Almanea, Abdulaziz, Peter A. Bath, and Laura Sbaffi. "The Benefits of Using Online Health Support Groups for Information Acquisition for People with Type 2 Diabetes in the UK." In The 18th international symposium on health information management research. Linnaeus University Press, 2022. http://dx.doi.org/10.15626/ishimr.2020.14.
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Type 2 diabetes (T2D) is a self-managed chronic condition that requires certain skills and knowledge to manage, both by the patient and health care professionals. People with T2D take daily decisions regarding their health and are responsible for the consequences. This creates a need to use different resources to obtain the required knowledge and the skills to control and manage the condition. This paper reports on a study to investigate the advantages of using online health support groups (OHSGs) for information exchange for people with T2D in the UK. In this paper, we collected data from 814 threads and posts from three diabetes UK-based OHSGs and analysed these using thematic analysis. The thematic analysis revealed three main benefits of using OHSGs for information acquisition: (1) Fulfilling information needs, (2) Overcoming barriers and (3) Supporting control and management of the condition. The results suggest that OHSGs serve as an excellent source for information acquisition for people with T2D.
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Epure, Manuela, Alaa tag eldin Mohamed, and Lorena clara Mihaes. "THE IMPACT OF SOCIAL MEDIA TECHNOLOGIES ON KNOWLEDGE MANAGEMENT AND RESEARCH PERFORMANCE IN HIGHER EDUCATION INSTITUTIONS." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-184.
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The impact of social media is higher than expected a few years ago. Looking at the exponential evolution of social media technologies and usage, one may say that social media is reshaping the way in which researchers interact and cooperate at institutional level and beyond. The dimensions of knowledge management (KM), such as: knowledge creation, knowledge sharing and dissemination are essential in collaborative research projects and they definitely bear upon the research performance of higher education institutions (HEIs). Traditionally, HEIs are seen as knowledge generators due to the outcomes of high-level research conducted by academics. The paper aims to explore the relationship between the following three components: KM process related to collaborative research, social media technologies and research performance of universities. The paper presents only the first stage of a wider research project regarding the similarities and differences of KM practices, as these occur in various cultural environments. An exploratory survey has been conducted in order to identify to what extent the selected variables have confirmed our first draft of the conceptual model. The survey findings have been used to upgrade and refine the online questionnaire in order to better capture the real practices. The respondents are located in different universities, public or private, situated in diverse cultural environments and allow us to explore the differences in practices cording to the differences of institutional and cultural factors. In addition, the respondents are academics, involved in research and using on regular basis various social media to interact with their peers. At this stage of the research the collected data were analysed using descriptive statistical methods mainly, and were tested some of the correlations considered relevant for the research. The preliminary research results encourage the research team to extend the survey in order to get relevant answers to formulated research questions and to draft policy recommendations tailored to the needs of different universities involved in this study.
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Hu, Anrui, Lin Zhang, Fei Tao, and Xiaohang Hu. "Lifecycle Management of Knowledge in a Cloud Manufacturing System." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1133.
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Cloud manufacturing is a new service-oriented intelligent manufacturing paradigm. Knowledge is a core part and the foundation to realize its intelligence. In this paper, the importance and functions of knowledge to cloud manufacturing was first investigated from the lifecycle of cloud service. Then a knowledge management system was designed and the layered architecture and key technologies were analyzed. A case study was conducted to demonstrate the feasibility of the proposed knowledge management system.
Reports on the topic "Knowledge management technologies Paper type Research paper"
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Panko, Mary. Undergraduate Research: A Source for Faculty Publications? Unitec ePress, 2014. http://dx.doi.org/10.34074/ocds.002.
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Over the last two decades undergraduate students have been encouraged to problem solve in ‘the real world’ in order to construct their own subject knowledge. This generally means that students are required to carry out research in their disciplines, a process which inevitably leads to the production of quantities of data. Once their findings are reported back to faculty and have been graded, they are largely ignored, as they are ‘only’ the product of undergraduate research. However, since 2000 there has been a move to bring this type of work into the open through undergraduate research conferences in order to benefit both the students and their institutions. Nevertheless, except for a few publications within medical teaching, faculty themselves have not widely used this data for their own research, perhaps fearing its potential lack of authenticity or credibility. This paper explores a case study to examine the validity and reliability of students’ findings and considers whether the observations obtained by students can or should be made into academic publications by staff. This study comprised four cohorts, totaling 109 second-year undergraduate automotive students, who had made repeat visits to a number of automotive workshops and reviewed the workshops’ activities with a particular focus on customer service, health and safety, and waste management. Analysis of the top 25% of students’ reports revealed that a number of compliance failures were appearing on such a regular basis that these findings should be brought to the attention of the automotive industry. The paper concludes with a recommendation that under carefully controlled conditions, academics should draw on this hitherto ignored seam of research data.
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Panko, Mary. Undergraduate Research: A Source for Faculty Publications? Unitec ePress, 2014. http://dx.doi.org/10.34074/ocds.002.
Full textAbstract:
Over the last two decades undergraduate students have been encouraged to problem solve in ‘the real world’ in order to construct their own subject knowledge. This generally means that students are required to carry out research in their disciplines, a process which inevitably leads to the production of quantities of data. Once their findings are reported back to faculty and have been graded, they are largely ignored, as they are ‘only’ the product of undergraduate research. However, since 2000 there has been a move to bring this type of work into the open through undergraduate research conferences in order to benefit both the students and their institutions. Nevertheless, except for a few publications within medical teaching, faculty themselves have not widely used this data for their own research, perhaps fearing its potential lack of authenticity or credibility. This paper explores a case study to examine the validity and reliability of students’ findings and considers whether the observations obtained by students can or should be made into academic publications by staff. This study comprised four cohorts, totaling 109 second-year undergraduate automotive students, who had made repeat visits to a number of automotive workshops and reviewed the workshops’ activities with a particular focus on customer service, health and safety, and waste management. Analysis of the top 25% of students’ reports revealed that a number of compliance failures were appearing on such a regular basis that these findings should be brought to the attention of the automotive industry. The paper concludes with a recommendation that under carefully controlled conditions, academics should draw on this hitherto ignored seam of research data.
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Panko, Mary. Undergraduate Research: A Source for Faculty Publications? Unitec ePress, 2014. http://dx.doi.org/10.34074/ocds.002.
Full textAbstract:
Over the last two decades undergraduate students have been encouraged to problem solve in ‘the real world’ in order to construct their own subject knowledge. This generally means that students are required to carry out research in their disciplines, a process which inevitably leads to the production of quantities of data. Once their findings are reported back to faculty and have been graded, they are largely ignored, as they are ‘only’ the product of undergraduate research. However, since 2000 there has been a move to bring this type of work into the open through undergraduate research conferences in order to benefit both the students and their institutions. Nevertheless, except for a few publications within medical teaching, faculty themselves have not widely used this data for their own research, perhaps fearing its potential lack of authenticity or credibility. This paper explores a case study to examine the validity and reliability of students’ findings and considers whether the observations obtained by students can or should be made into academic publications by staff. This study comprised four cohorts, totaling 109 second-year undergraduate automotive students, who had made repeat visits to a number of automotive workshops and reviewed the workshops’ activities with a particular focus on customer service, health and safety, and waste management. Analysis of the top 25% of students’ reports revealed that a number of compliance failures were appearing on such a regular basis that these findings should be brought to the attention of the automotive industry. The paper concludes with a recommendation that under carefully controlled conditions, academics should draw on this hitherto ignored seam of research data.
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Himmel, Mirko. Biosecurity Risk Assessment in the Life Sciences: Towards a Toolkit for Individual Practitioners. Stockholm International Peace Research Institute, 2023. http://dx.doi.org/10.55163/egcn8815.
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There are a number of potential risks and unintended consequences associated with research at the intersection of biological sciences and emerging technologies, including the risk of misuse for malicious purposes. While there are established biorisk management approaches to dealing with these dangers, gaps remain. This paper focuses on the role of individual practitioners in contributing to a larger culture of biosafety and biosecurity. It presents a proposed toolkit that involves a risk assessment process and strategies to manage potential risks. The paper outlines ways to motivate practitioners to proactively take responsibility for considering and managing the biorisks associated with their work, aiming to close the knowledge gap by equipping scientists with appropriate tools to implement a comprehensive biorisk mitigation strategy at the practical level. It concludes by deploying the approach using a potential application from nanobiotechnology for demonstration purposes and considers next steps.
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Al Quayid, AlJawhara, Fateh Belaïd, Naser Odeh, and Noura Mansouri. Roadmap for Carbon Capture, Utilization, and Storage (CCUS) in Saudi Arabia Insights From Stakeholder Engagement and Expert Survey. King Abdullah Petroleum Studies and Research Center, 2025. https://doi.org/10.30573/ks--2025-dp01.
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This paper presents the findings of a survey conducted by KAPSARC, focusing on the role of Carbon Capture and Storage (CCS) technology within the framework of Circular Carbon Economy (CCE). The survey, part of the CCE Roadmaps project, aimed to gather insights from diverse stakeholders to inform the development of technology roadmaps. The study focuses on the perceived importance, barriers, and potential of CCS technologies in reducing greenhouse gas emissions, with a specific focus on their implementation in Saudi Arabia. By analyzing the perspectives of various experts and industry professionals, this research provides valuable insights into CCS’s current state and prospects within the CCE framework. The findings of this study contribute to the growing body of knowledge on sustainable energy solutions and offer important considerations for policymakers and industry leaders in shaping the future of carbon management strategies.
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Serafica, Ramonette, and Queen Cel Oren. A Snapshot of Innovation in the Philippine Services Sector. Philippine Institute for Development Studies, 2024. http://dx.doi.org/10.62986/dp2024.14.
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The Philippine Development Plan 2023–2028 recognizes innovation as one of the drivers of growth in the services sector, creating a strategic framework to reinvigorate the sector and strengthen creativity and innovation. To help formulate the appropriate strategies and policies, this paper examines the evidence on innovation in service industries using the 2021 Survey of Innovation Activities of Establishments, which provided broader sector coverage. The survey was conducted during the pandemic when firms had to pivot to new modes of service delivery to survive. It gives a more nuanced profile and innovation behaviors of services firms and seeks to identify the effects and determinants of innovation across the services subsectors. Among the four types of innovation, organizational innovation was the most common type of innovation introduced in most service sectors, followed by marketing, process, and product innovation. For most of the services subsectors, the most common innovation activity of the establishments was “Training for innovative activities”. Across all services subsectors, cost factors are identified as the most common barrier considered of high significance. Organizations that employ at least one FIRe technology, obtain funding, use platforms, engage in R&D activities (whether outsourced or in-house), or use knowledge management methods are more likely to be innovation active and produce at least one type of innovation. The survey also reveals greater reliance on internal and market sources of information while the utilization of institutional and other sources of information, such as incubators, scientific journals or technical publications, and regulatory bodies was low for most subsectors. Universities or other higher education institutions were also not popular cooperation partners. In terms of knowledge management, regularly updating internal databases or manuals was the most popular practice while a policy to bring in external experts from universities, research institutes, or other establishments to participate in project teams was the least common practice across the subsectors. The Philippine Innovation Act (RA 11293) provides different interventions to address the various impediments related to cost factors, knowledge factors, market factors, and legal or regulatory factors (Albert et al. 2023). Given the diversity of services, a one-size-fits-all strategy will not be effective. While this study presents a snapshot of the innovation profiles of the different subsectors, in-depth analysis of the innovation ecosystem is required to develop industry-specific innovation roadmaps.