IDEAS home Printed from https://ideas.repec.org/p/sps/wpaper/15106.html
   My bibliography  Save this paper

Artificial Intelligence Methods for Knowledge Management Systems

Author

Listed:
  • Begler, A.
  • Gavrilova, T.

Abstract

The paper presents work in progress on the artificial intelligence (AI) methods use in knowledge management (KM) systems. Such methods supposed to improve KM, for example, auto-mated knowledge discovery with data mining and natural language processing techniques (Liebowitz, 2001) or to continuously reinterpret meaning of information with the sense-making injection (Malhotra, 2001). Recent papers focus on the studying of different AI technologies implementation for knowledge management, like big data (Sumbal et al., 2017; Pauleen et al., 2017), ontology-based methods (Zhang et al., 2015; Remolona et al., 2017), intelligent agents (Kravchenko & Kureichik, 2014; Chang et al., 2017; Kadhim et al., 2017). However, a lack of systemic understanding of their application is still exists. In the paper we aimed to answer the question: What is the role of different types of artificial intelligence methods in the knowledge management systems dedicated for solving particular tasks? To do this several steps is taken. First, analytical framework for existing cases of AI applications was constructed. The framework consists of for embedded dimension: organizational con-text and environment, KM processes and tools, KM system architecture, AI technology implementa-tion. For every dimension a set of characteristics was considered by which use cases can be analyzed. Second, based on the characteristics an analysis of the published KM systems with the incorporated AI technologies was performed. The analysis followed Tranfield et al. (2013) methodology with a three stages: planning, conducting, and reporting the review. For the planning stage analytical framework were used as well as analysis of the relevant literature. At the conducting stage search be the keywords in Scopus database was performed yielded 174 papers as an initial result, than exclusion criteria was applied to the results resulted in the 83 papers for the further analysis. This is a current stage of the research. After it will be finished, a synthesis of the patterns will be performed to create the model of AI technologies use in the KM systems.

Suggested Citation

  • Begler, A. & Gavrilova, T., 2018. "Artificial Intelligence Methods for Knowledge Management Systems," Working Papers 15106, Graduate School of Management, St. Petersburg State University.
    • Handle: RePEc:sps:wpaper:15106
    as

    Download full text from publisher

    File URL: https://dspace.spbu.ru/handle/11701/15106
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bruce Kogut & Udo Zander, 1992. "Knowledge of the Firm, Combinative Capabilities, and the Replication of Technology," Organization Science, INFORMS, vol. 3(3), pages 383-397, August.
    2. Franz Huber, 2012. "Do clusters really matter for innovation practices in Information Technology? Questioning the significance of technological knowledge spillovers," Journal of Economic Geography, Oxford University Press, vol. 12(1), pages 107-126, January.
    3. Zheng, Wei & Yang, Baiyin & McLean, Gary N., 2010. "Linking organizational culture, structure, strategy, and organizational effectiveness: Mediating role of knowledge management," Journal of Business Research, Elsevier, vol. 63(7), pages 763-771, July.
    4. Scott D. N. Cook & John Seely Brown, 1999. "Bridging Epistemologies: The Generative Dance Between Organizational Knowledge and Organizational Knowing," Organization Science, INFORMS, vol. 10(4), pages 381-400, August.
    5. Stuart D. Galup & Ronald Dattero & Richard C. Heeks, 2002. "Knowledge Management Systems: An Architecture for Active and Passive Knowledge," Information Resources Management Journal (IRMJ), IGI Global, vol. 15(1), pages 22-27, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniel RUSU, 2022. "Association of Knowledge Management with Strategic Management: Directions and Trends at International Level," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 7(1), pages 49-66, February.
    2. Renzl, Birgit, 2008. "Trust in management and knowledge sharing: The mediating effects of fear and knowledge documentation," Omega, Elsevier, vol. 36(2), pages 206-220, April.
    3. Jiajun Wu & Liwei Chen, 2022. "The Effects of Multilevel Orientations on Frontline Deliberate Learning," SAGE Open, , vol. 12(3), pages 21582440221, September.
    4. John Seely Brown & Paul Duguid, 2001. "Knowledge and Organization: A Social-Practice Perspective," Organization Science, INFORMS, vol. 12(2), pages 198-213, April.
    5. Chris Kimble, 2013. "Knowledge management, codification and tacit knowledge," Post-Print halshs-00826911, HAL.
    6. Jamal Shamsie & Michael J. Mannor, 2013. "Looking Inside the Dream Team: Probing Into the Contributions of Tacit Knowledge as an Organizational Resource," Organization Science, INFORMS, vol. 24(2), pages 513-529, April.
    7. Miskiewicz, Radoslaw, 2017. "Knowledge transfer in merger and acquisition processes in the metallurgical industry," MPRA Paper 81328, University Library of Munich, Germany, revised 2017.
    8. Rossidis Ioannis & Dimitrios Belias, 2020. "Combining Strategic Management with Knowledge Management: Trends and International Perspectives," International Review of Management and Marketing, Econjournals, vol. 10(3), pages 39-45.
    9. Verdu-Jover, Antonio J. & Alos-Simo, Lirios & Gomez-Gras, Jose-Maria, 2018. "Adaptive culture and product/service innovation outcomes," European Management Journal, Elsevier, vol. 36(3), pages 330-340.
    10. Zhen Zhang, 2024. "Exploring the green edge: the role of market orientation and knowledge management in achieving competitive advantage through creativity," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    11. Jiménez-Jiménez, Daniel & Sanz-Valle, Raquel, 2011. "Innovation, organizational learning, and performance," Journal of Business Research, Elsevier, vol. 64(4), pages 408-417, April.
    12. Biggiero, Lucio, 2007. "Organizations as congitive systems :what do they process and deliver?," MPRA Paper 3089, University Library of Munich, Germany.
    13. Beth A. Bechky, 2003. "Sharing Meaning Across Occupational Communities: The Transformation of Understanding on a Production Floor," Organization Science, INFORMS, vol. 14(3), pages 312-330, June.
    14. Wanda J. Orlikowski, 2002. "Knowing in Practice: Enacting a Collective Capability in Distributed Organizing," Organization Science, INFORMS, vol. 13(3), pages 249-273, June.
    15. François Therin, 2003. "Learning Organization and Innovation Performance in High-Tech Small Firms," Post-Print hal-00451466, HAL.
    16. Ismael Barros-Contreras & Héctor Pérez-Fernández & Natalia Martín-Cruz & Juan Hernangómez B., 2023. "Can we make family social capital flourish? The moderating role of generational involvement," Journal of Family and Economic Issues, Springer, vol. 44(3), pages 655-673, September.
    17. Huber, Franz, 2013. "Knowledge-sourcing of R&D workers in different job positions: Contextualising external personal knowledge networks," Research Policy, Elsevier, vol. 42(1), pages 167-179.
    18. Roberto Grandinetti, 2022. "A Routine-Based Theory of Routine Replication," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    19. Cohendet Patrick & Llerena Patrick & Simon Laurent, 2014. "The Routinization of Creativity: Lessons from the Case of a Video-game Creative Powerhouse," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 120-141, April.
    20. Claude Paraponaris, 2017. "Le passage des frontières : difficultés et perspectives. L’expérience des frontières cognitives," Post-Print halshs-01579851, HAL.

    More about this item

    Keywords

    artificial intelligence; knowledge management system; system architecture; knowledge management;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sps:wpaper:15106. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lena Manaeva (email available below). General contact details of provider: https://edirc.repec.org/data/sompuru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.