International Journal of Advances in Applied Computational Intelligence

Journal DOI

https://doi.org/10.54216/IJAACI

Submit Your Paper

2833-5600ISSN (Online)

Volume 4 , Issue 2 , PP: 41-47, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Analyzing the Impact of Distributed Data and Knowledge-Based Systems on Knowledge Management: A Systematic Mapping Study

Rakhimova Gulnoza 1 *

  • 1 Department of English Language, Corporate Governance faculty, Tashkent state University of Economics, 100066, Tashkent city, Uzbekistan - (g.raximova@tsue.uz)
  • Doi: https://doi.org/10.54216/IJAACI.040205

    Received: April 17, 2023 Revised: June 12, 2023 Accepted: August 29, 2023
    Abstract

    Knowledge management is a critical aspect of modern organizations seeking to harness their collective intelligence and remain competitive in a dynamic business environment. With the advent of distributed data and knowledge-based systems, the landscape of knowledge management is undergoing significant transformations. This systematic mapping study aims to provide a comprehensive overview of the current state of knowledge management within the context of distributed environments and knowledge-based systems, shedding light on the key trends and challenges that shape this evolving field. Our study employs a systematic mapping methodology to analyze a wide array of scholarly articles, conference papers, and research reports. Through a structured review process, we identify and categorize relevant publications, facilitating a holistic understanding of the relationships between distributed data and knowledge-based systems in the realm of knowledge management. By mapping the existing literature, we uncover emerging themes, gaps, and areas of interest in this interdisciplinary domain. Key findings reveal the increasing role of distributed systems in enhancing knowledge sharing, collaboration, and decision-making processes. However, challenges related to data security, interoperability, and system integration also surface as important considerations. The systematic mapping study not only offers insights into the current state of knowledge management but also provides a foundation for future research directions and practical implications for organizations striving to optimize knowledge utilization in distributed settings. In conclusion, this research contributes to a deeper understanding of how distributed data and knowledge-based systems are shaping knowledge management practices and provides a roadmap for scholars and practitioners alike to navigate this evolving terrain.

    Keywords :

    Knowledge Management , Distributed Data Systems , Knowledge-Based Systems , Systematic Mapping Study , Knowledge Sharing , Data Security , Interoperability

    References

    [1]    Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). The impact of knowledge management processes on information systems: A systematic review. Information & Management.

    [2]    Akoka, J., Comyn-Wattiau, I., & Laoufi, N. (2017). Research on Big Data—A systematic mapping study. Computer Standards & Interfaces.

    [3]    Santos, V., Souza, É., & Felizardo, K. R. (2017). Analyzing the use of concept maps in computer science: A systematic mapping study. Informatics in.

    [4]    Arias, M., Saavedra, R., & Marques, M. R. (2018). Human resource allocation in business process management and process mining: A systematic mapping study. Management.

    [5]    Tapia-Leon, M., Rivera, A. C., & Chicaiza, J. (2018). Application of ontologies in higher education: A systematic mapping study. 2018 IEEE Global.

    [6]    Di Francesco, P., Lago, P., & Malavolta, I. (2019). Architecting with microservices: A systematic mapping study. Journal of Systems and Software.

    [7]    Muccini, H., & Moghaddam, M. T. (2018). IoT architectural styles: A systematic mapping study. ECSA 2018, Madrid, Spain.

    [8]    Rodríguez, P., Haghighatkhah, A., & Lwakatare, L. E. (2017). Continuous deployment of software intensive products and services: A systematic mapping study. Journal of systems and.

    [9]    Manesh, M. F., Pellegrini, M. M., & Marzi, G. (2020). Knowledge management in the fourth industrial revolution: Mapping the literature and scoping future avenues. Knowledge Management.

    [10] Bi, T., Liang, P., Tang, A., & Yang, C. (2018). A systematic mapping study on text analysis techniques in software architecture. Journal of Systems and Software.

    [11] Bischoff, V., Farias, K., & Gonçales, L. J. (2019). Integration of feature models: A systematic mapping study. Information and Software.

    [12] Alkharabsheh, K., Crespo, Y., & Manso, E. (2019). Software design smell detection: a systematic mapping study. Software Quality.

    [13] Khan, M. U., Sherin, S., Iqbal, M. Z., & Zahid, R. (2019). Landscaping systematic mapping studies in software engineering: A tertiary study. Journal of Systems and Software.

    [14] Lepekhin, A., Borremans, A., & Ilin, I. (2019). A systematic mapping study on internet of things challenges. Engineering Research.

    [15] El Bajta, M., Idri, A., & Ros, J. N. (2018). Software project management approaches for global software development: A systematic mapping study. Tsinghua Science.

    [16] Wortmann, A., Barais, O., & Combemale, B. (2020). Modeling languages in Industry 4.0: an extended systematic mapping study. Software and Systems.

    [17] Ramaki, A. A., Rasoolzadegan, A., & Bafghi, A. G. (2018). A systematic mapping study on intrusion alert analysis in intrusion detection systems. ACM Computing Surveys.

    [18] Garcia, C. dos S., Meincheim, A., & Junior, E. R. F. (2019). Process mining techniques and applications–A systematic mapping study. Expert Systems with.

    [19] Pellegrini, M. M., Ciampi, F., & Marzi, G. (2020). The relationship between knowledge management and leadership: mapping the field and providing future research avenues. Knowledge Management.

    [20] Karampela, M., Ouhbi, S., & Isomursu, M. (2018). Personal health data: A systematic mapping study. International journal of medical.

    Cite This Article As :
    Gulnoza, Rakhimova. Analyzing the Impact of Distributed Data and Knowledge-Based Systems on Knowledge Management: A Systematic Mapping Study. International Journal of Advances in Applied Computational Intelligence, vol. , no. , 2023, pp. 41-47. DOI: https://doi.org/10.54216/IJAACI.040205
    Gulnoza, R. (2023). Analyzing the Impact of Distributed Data and Knowledge-Based Systems on Knowledge Management: A Systematic Mapping Study. International Journal of Advances in Applied Computational Intelligence, (), 41-47. DOI: https://doi.org/10.54216/IJAACI.040205
    Gulnoza, Rakhimova. Analyzing the Impact of Distributed Data and Knowledge-Based Systems on Knowledge Management: A Systematic Mapping Study. International Journal of Advances in Applied Computational Intelligence , no. (2023): 41-47. DOI: https://doi.org/10.54216/IJAACI.040205
    Gulnoza, R. (2023) . Analyzing the Impact of Distributed Data and Knowledge-Based Systems on Knowledge Management: A Systematic Mapping Study. International Journal of Advances in Applied Computational Intelligence , () , 41-47 . DOI: https://doi.org/10.54216/IJAACI.040205
    Gulnoza R. [2023]. Analyzing the Impact of Distributed Data and Knowledge-Based Systems on Knowledge Management: A Systematic Mapping Study. International Journal of Advances in Applied Computational Intelligence. (): 41-47. DOI: https://doi.org/10.54216/IJAACI.040205
    Gulnoza, R. "Analyzing the Impact of Distributed Data and Knowledge-Based Systems on Knowledge Management: A Systematic Mapping Study," International Journal of Advances in Applied Computational Intelligence, vol. , no. , pp. 41-47, 2023. DOI: https://doi.org/10.54216/IJAACI.040205