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  • Open Access

    ARTICLE

    Construction and Application of Cloud Computing Model for Reciprocal and Collaborative Knowledge Management

    Jingqi Li1,*, Yijie Bian1, Jun Guan2, Lu Yang2

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1119-1137, 2023, DOI:10.32604/cmc.2023.035369 - 06 February 2023

    Abstract Promoting the co-constructing and sharing of organizational knowledge and improving organizational performance have always been the core research subject of knowledge management. Existing research focuses on the construction of knowledge management systems and knowledge sharing and transfer mechanisms. With the rapid development and application of cloud computing and big data technology, knowledge management is faced with many problems, such as how to combine with the new generation of information technology, how to achieve integration with organizational business processes, and so on. To solve such problems, this paper proposes a reciprocal collaborative knowledge management model (RCKM… More >

  • Open Access

    ARTICLE

    Designing and Evaluating a Collaborative Knowledge Management Framework for Leaf Disease Detection

    Komal Bashir1,*, Mariam Rehman2, Afnan Bashir3, Faria Kanwal1

    Computer Systems Science and Engineering, Vol.42, No.2, pp. 751-777, 2022, DOI:10.32604/csse.2022.022247 - 04 January 2022

    Abstract Knowledge Management (KM) has become a dynamic concept for inquiry in research. The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related to a particular discipline, several KM frameworks have been designed to serve this purpose. This research aims to propose a Collaborative Knowledge Management (CKM) Framework that bridges gaps and overcomes weaknesses in existing frameworks. The paper also validates the framework by evaluating its effectiveness for the agriculture sector of Pakistan. A software LCWU aKMS was developed which serves as a practical implementation of the… More >

  • Open Access

    ARTICLE

    Cloud-Based Knowledge Management Framework for Decision Making in Higher Education Institutions

    Muhammad Younas1,2,*, Ahmad Shukri Mohd Noor2, Muhammad Arshad1

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 83-99, 2022, DOI:10.32604/iasc.2022.018332 - 03 September 2021

    Abstract The education sector is now necessitated to align itself with the latest innovative technological trends in the industry to be competitive while transforming database management practices. The Higher Education Institutions (HEIs) are currently using cloud-based applications at varied implementation levels while others are following the shifting trends. On-demand availability of consolidated information is a critical success factor to perform decision-making activities; as a result, quite a bit of research work has been performed in this realm. The study is aimed to propose an efficient framework that is capable of extracting the desired information from an More >

  • Open Access

    ARTICLE

    Research on Intelligent Technology Management and Service Platform

    Ning Chen1, Hui Li2, Xinxin Fan3, 4, Weiliang Kong1, Yonghong Xie3, 4, *

    Journal on Artificial Intelligence, Vol.2, No.3, pp. 149-155, 2020, DOI:10.32604/jai.2020.09888 - 15 July 2020

    Abstract In recent years, there are some problems in science and technology management, such as untimely task supervision and independent information system, which makes it difficult to achieve accurate, quantitative and standardized management. The storage of scientific research test data is scattered, and there are many deficiencies in the management, promotion and use of existing intellectual property. In this paper, on the basis of the knowledge economy, intelligence economy under the conditions of knowledge management concept and cutting-edge technology, technology management and service management related data, information, knowledge, method of blend together. Based on science and More >

  • Open Access

    ARTICLE

    Systematically Monitoring, Relational Database and Technology Roadmapping for Trends and Innovation Opportunities in Biopolymers

    Selma B. Jaconis1,*, Augusto T. Morita2, Paulo L. A. Coutinho3, Suzana Borschiver1

    Journal of Renewable Materials, Vol.7, No.11, pp. 1221-1230, 2019, DOI:10.32604/jrm.2019.00025 - 14 July 2021

    Abstract In recent years environmental and sustainability concerns have impacted the global chemical industry and instituted a rush to produce products from renewable raw materials. This dynamic, complex and turbulent organizational scenario, around themes touching on the issue of sustainable development model, was created involving a large number of different actors: chemical/petrochemical industries, agroindustry companies, oil/gas companies, brand owners and end users, biotechnology startups, governments, universities and society. This paper proposed the application of a structured and dynamic method of technological prediction for biopolymers in three levels: systematic monitoring process, relational database and the “alive” Technology More >

  • Open Access

    ARTICLE

    Enhancing Knowledge Management and Decision-Making Capability of China’s Emergency Operations Center Using Big Data

    Yefeng Maa, Hui Zhangb

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 107-114, 2018, DOI:10.1080/10798587.2016.1267249

    Abstract Emerging communication and computing technologies such as social media, Internet of Things and big data provide great opportunities to improve information management systems for emergency operations. This paper studies the issues of information management at China’s Emergency Operations Center (EOC), and proposes a data-driven knowledge management system (KMS) to support decisionmaking, coordination, and collaboration within EOCs and with the public. In the proposed KMS, big data analytics is employed to gather and analyze information from different knowledge domains and track how a crisis evolves in physical world and in cyber space. The proposed system aims More >

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