Bilgi Yönetiminde Yapay Zekânın Rolü: Sistematik Yazın İncelemesi

Yıl 2024, Cilt: 7 Sayı: 1, 140 - 155, 30.06.2024

Mertcan Aluçlu

https://doi.org/10.33721/by.1363087

Öz

Yapılan çalışma, yapay zekâ teknolojilerinin bilgi yönetimi işlevlerini etkileyebilecek yeniliklerini ortaya çıkarmayı amaçlamaktadır. Bilgi yönetimi ve yapay zekâ süreçleri üzerine giderek artan sayıda çalışmalar olmakla beraber, yapay zekânın bilgi yönetimi ile uyumlandırılmasını sistematik ve yapılandırılmış olarak inceleyen Türkçe bir çalışmaya ihtiyaç olduğu değerlendirilmektedir. Bu kapsamda yapay zekânın bilgi yönetimi alanında yeniliklerini, süreçlerdeki rolünü, benimsenmesinin avantajlarını ve etkili kullanıma olanak tanıyacak faktörleri ortaya çıkarmayı amaçlamaktadır. Konu ile ilgili alanların başlıklarını ortaya koyarak incelemek amacıyla sistematik yazın araştırması yöntemi benimsenmiştir. İncelemeye başlarken zaman aralığı, veri tabanı seçimi yapılmış ve belirtilen sınırlar içerisinde makale seçimi ve sınıflandırılması gerçekleştirilmiştir. Bu bağlamda 1990 ile 2022 yılları arasında “Web of Science” ve “Scopus” veri tabanlarında yayınlanmış 84 adet makale belirlenmiştir. Bulgulara göre yapay zekânın bilgi yönetiminde benimsendiği ve daha etkili hâle gelmesine yönelik bir kuvvet çarpanı olduğu görülmüştür. Çalışmanın sistematik bir yazın incelemesi olması nedeniyle alanda araştırmaya yönelik faydalı bilgiler içerdiği değerlendirilmektedir.

Anahtar Kelimeler

Bilgi Yönetimi, Yapay Zekâ, Yönetim Bilişim Sistemleri

Artificial Intelligence in Information Management: A Systematic Literature Review

Öz

The study aims to make an analysis on the possibilities of using artificial intelligence in knowledge management. Although there are studies that increasing in number on knowledge management and knowledge management processes, it is considered that there is a need for a systematical and structured study that examines the harmonization of knowledge management with knowledge management on its scope, adaptation and effects. In this context, it aims to reveal the innovations of AI in the field of knowledge management, its role in the processes, the advantages of its adoption, and the factors that will allow effective use. A systematic literature research method has been adopted in order to examine the topics related to the subject by revealing the titles. At the beginning of the review, the time interval, database selection was made, and article selection and classification was carried out within the specified limits. In this context, 84 articles have been identified which published in the "Web of Science" and "Scopus" databases between 1990 and 2022. According to the findings, it has been seen that artificial intelligence is adopted to information management and a force multiplier for it to become more effective. Since the study is a systematic literature review, it is considered to contain useful information for research in the field.

Anahtar Kelimeler

Knowledge Management, Artificial Intelligence, Management Information Systems

Kaynakça

• Abar, S., Abe, T., & Kinoshita, T. (2004). A next generation knowledge management system architecture. The 18th International Conference on Advanced Information Networking and Applications, Fukuoka, Japonya. 191-195.
• Abubakar, A. M., Behravesh, E., Rezapouraghdam, H., & Yildiz, S. B. (2019). Applying artificial intelligence technique to predict knowledge hiding behavior. International Journal of Information Management, 49, 45-57. doi:10.1016/j.ijinfomgt.2019.02.006
• Al-Sharafi, M. A., Al-Emran, M., Iranmanesh, M., Al-Qaysi, N., Iahad, N. A., & Arpaci, I. (2022). Understanding the impact of knowledge management factors on the sustainable use of AI-based chatbots for educational purposes using a hybrid SEM-ANN approach. Interactive Learning Environments, 20, 1-20. doi:10.1080/10494820.2022.2075014
• Al-Surmi, A., Bashiri, M., & Koliousis, I. (2022). AI based decision making: combining strategies to improve operational performance. International Journal of Production Research, 60(14), 4464-4486. doi:10.1080/00207543.2021.1966540
• Anum, L., Lodhi, S. A., & Ahmed, K. (2018). Knowledge Transcendence: Strengthening Knowledge Management Efforts on Modeling Transdisciplinary Knowledge using Artificial Intelligence. International Journal of Computer Science and Network Security, 18(6), 139-147.
• Aristodemou, L., & Tietze, F. (2018). The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for analysing intellectual property (IP) data. World Patent Information, 55, 37-51. doi:10.1016/j.wpi.2018.07.002
• Avdeenko, T. V., Makarova, E. S., Klavsuts, I. L., & Ieee. (2016). Artificial Intelligence Support of Knowledge Transformation in Knowledge Management Systems. The 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE), Novosibirsk, Rusya. 195-201.
• Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance. Industrial Marketing Management, 92, 178-189. doi:10.1016/j.indmarman.2020.12.001
• Barthes, J. P. A. (1997). Computer-supported cooperative work and knowledge management. The 2nd International Workshop on CSCW (Computer Support Cooperative Work) in Design, Bangkok, Tayland.1-5.
• Bell, M. Z. (1985). Why Expert Systems Fail? Journal of the Operational Research Society, 36(7), 613–619.
• Bimba, A. T., Idris, N., Al-Hunaiyyan, A., Mahmud, R. B., Abdelaziz, A., Khan, S., & Chang, V. (2016). Towards knowledge modeling and manipulation technologies: A survey. International Journal of Information Management, 36(6), 857–871.
• Botega, L. F. D., & Silva, J. C. (2020). An artificial intelligence approach to support knowledge management on the selection of creativity and innovation techniques. Journal of Knowledge Management, 24(5), 1107-1130. doi:10.1108/jkm-10-2019-0559
• Chanda, M. M., Banerjee, N., & Bandyopadhyay, G. (2022). Effective Implementation of Knowledge Management Systems (KMS) in Government Schemes/Programs of Selected Sectors Using Soft Computing. International Journal of Knowledge Management, 18(1), 22. doi:10.4018/ijkm.297608
• Chau, K. W. (2007). An ontology-based knowledge management system for flow and water quality modeling. Advances in Engineering Software, 38(3), 172-181. doi:10.1016/j.advengsoft.2006.07.003
• Choy, K. L., Tan, K. H., & Chan, F. T. S. (2007). Design of an intelligent supplier knowledge management system - an integrative approach. Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture, 221(2), 195-211. doi:10.1243/09544054jem627
• Choy, K. L. T., Siu, K. Y. P., Ho, T. S. G., Wu, C. H., Lam, H. Y., Tang, V., & Tsang, Y. P. (2018). An intelligent case-based knowledge management system for quality improvement in nursing homes. Vine Journal of Information and Knowledge Management Systems, 48(1), 103-121. doi:10.1108/vjikms-01-2017-0001
• Clarke, M., & Oxman, A. D. (2004). Cochrane Reviewers’ Handbook 4.2.2. The Cochrane Library(1).
• Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314. doi:10.1016/j.jbusres.2020.08.019
• Diao, L. X., Zuo, M. Z., & Liu, Q. (2009). The Artificial Intelligence in Personal Knowledge Management. The 2nd International Symposium on Knowledge Acquisition and Modeling, Wuhan, Çin. 327-329.
• Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71. doi:10.1016/j.ijinfomgt.2019.01.021
• Duan, Y. Q., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data - evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71. doi:10.1016/j.ijinfomgt.2019.01.021
• Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 13. doi:10.1080/14778238.2020.1854632
• Gacanin, H. (2019). Autonomous Wireless Systems With Artificial Intelligence A Knowledge Management Perspective. Ieee Vehicular Technology Magazine, 14(3), 51-59. doi:10.1109/mvt.2019.2920162
• Gacanin, H., Perenda, E., Karunaratne, S., & Atawia, R. (2019). Self-Optimization of Wireless Systems With Knowledge Management: An Artificial Intelligence Approach. Ieee Transactions on Vehicular Technology, 68(10), 9682-9697. doi:10.1109/tvt.2019.2926409
• Gachet, A., & Haettenschwiler, P. (2006). Development Processes of Intelligent Decision-making Support Systems: Review and Perspective. In Intelligent Decision-Making Support Systems: Foundations, Applications and Challenges (pp. 97-121). Godalming: Springer-Verlag London Ltd.
• Gordon, J. L. (2000). Creating knowledge maps by exploiting dependent relationships. Knowledge-Based Systems, 13(2-3), 71-79. doi:10.1016/s0950-7051(00)00048-4
• Gronau, N. (2021). Modeling the Handling of Knowledge for Industry 4.0. The 11th International Symposium on Business Modeling and Software Design (BMSD), Sofia, Bulgaristan.207-223.
• Grum, M. (2020). Managing Human and Artificial Knowledge Bearers. Paper presented at the 10th Annual International symposium on Business Modeling and Software Design (BMSD), Berlin, Almanya. 182-201.
• Grundspenkis, J. (2007). Agent based approach for organization and personal knowledge modelling: knowledge management perspective. Journal of Intelligent Manufacturing, 18(4), 451-457. doi:10.1007/s10845-007-0052-6
• Gu, D. X., Deng, S. Y., Zheng, Q., Liang, C. Y., & Wu, J. (2019). Impacts of case-based health knowledge system in hospital management: The mediating role of group effectiveness. Information & Management, 56(8), 12. doi:10.1016/j.im.2019.04.005
• Guimaraes, J. C. F. d., Severo, E. A., & Vasconcelos, C. R. M. d. (2018). The influence of entrepreneurial, market, knowledge management orientations on cleaner production and the sustainable competitive advantage. Journal of Cleaner Production, 2(10), 1653–1663. doi:10.1016/j.jclepro.2017.11.074
• Herrero, A., Saiz-Barcena, L., Manzanedo, M. A., & Corchado, E. (2016). A hybrid proposal for cross-sectoral analysis of knowledge management. Soft Computing, 20(11), 4271-4285. doi:10.1007/s00500-016-2293-9
• Herschel, R., & Jones, N. (2005). Knowledge Management and Business Intelligence: The Importance of Integration. Journal of Knowledge Management, 9(4), 45-55.
• Hoeschl, H. C., & Barcellos, V. (2006). Artificial intelligence and knowledge management. Paper presented at the Conference on Artificial Intelligence in Theory and Practice held at the 19th World Computer Congress, Santiago, Şili. 11-19.
• Hooffa, B. v. d., & Hendrixb, L. (2004). Eagerness and Willingness to Share: The Relevance of Different Attitudes Towards Knowledge Sharing. 1-20.
• Iandolo, F., Loia, F., Fulco, I., Nespoli, C., & Caputo, F. (2021). Combining Big Data and Artificial Intelligence for Managing Collective Knowledge in Unpredictable Environment-Insights from the Chinese Case in Facing COVID-19. Journal of the Knowledge Economy, 12(4), 1982-1996. doi:10.1007/s13132-020-00703-8 IEEE, Artificial Intelligence, (2019).
• İrkey, T., & Tüfekçi, A. (2021). The Importance of Business Continuity and Knowledge Management during the Pandemic Period. Proceedings, 74(1), 1-6.
• Jackson, P. C. (2019). Introduction to artificial intelligence (4 ed.). United States: Courier Dover Publications.
• Jallow, H., Renukappa, S., & Suresh, S. (2020). Knowledge Management and Artificial Intelligence (AI). The 21st European Conference on Knowledge Management (ECKM), Conventry Univ. 363-369.
• Joia, L. A., & Lemos, B. (2010). Relevant Factors for Tacit Knowledge Transfer within Organizations. Journal of Knowledge Management, 14. doi:10.1108/13673271011050139
• Jurado, J. L., CastanoTrochez, A., Ordonez, H., & Ordonez, A. (2019). Knowledge Transfer in Software Companies Based on Machine Learning. The International Conference on Software Process Improvement (CIMPS), Leon, Meksika. 131-140.
• Kaewboonma, N., Tuamsuk, K., & Buranarach, M. (2014). Ontology Modeling for a Drought Management Information System. Libres-Library and Information Science Research Electronic Journal, 24(1), 21-33.
• Kane, G. C. (2017). The evolutionary implications of social media for organizational knowledge management. Information and Organization, 27(1), 37-46. doi:10.1016/j.infoandorg.2017.01.001
• Khabarov, V. I., & Volegzhanina, I. S. (2020). Digital Railway as a precondition for industry, science and education interaction by knowledge management. Paper presented at the IOP Conference Series: Materials Science and Engineering.
• Kitsios, F., & Kamariotou, M. (2021). Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda. Sustainability, 25(2025), 1-14.
• Kovacic, M., Mutavdzija, M., Buntak, K., & Pus, I. (2022). Using Artificial Intelligence for Creating and Managing Organizational Knowledge. Tehnicki Vjesnik-Technical Gazette, 29(4), 1413-1418. doi:10.17559/tv-20211222120653
• Laurini, R. (2021). A primer of knowledge management for smart city governance. Land Use Policy, 111, 10. doi:10.1016/j.landusepol.2020.104832
• Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1-14. doi:10.1080/14778238.2020.1831892
• Leon, M., Bello, R., & Vanhoof, K. (2009). Considering Artificial Intelligence Techniques To Perform Adaptable Knowledge Structures. The 4th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2009), Hasselt Univ, Hasselt, Belçika. 88-94.
• Li, X. Z., Moreschini, S., Filatova, A., Taibi, D., & Ieee Comp, S. O. C. (2022). Knowledge Management Challenges for AI Quality. The 29th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), Electr Network. 1295-1296.
• Li, Z. R., & Mo, T. T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 11. doi:10.1080/14778238.2020.1834885
• Liao, S. H. (2003). Knowledge management technologies and applications - literature review from 1995 to 2002. Expert Systems with Applications, 25(2), 155-164. doi:10.1016/s0957-4174(03)00043-5
• Liebowitz, J. (1998). Expert systems - An integral part of knowledge management. Kybernetes, 27(2), 170-175. doi:10.1108/03684929810205832
• Liebowitz, J. (2001). Knowledge management and its link to artificial intelligence. Expert Systems with Applications, 20(1), 1-6. doi:10.1016/s0957-4174(00)00044-0
• Lin, X., Li, J. H., Wu, J., Liang, H. R., & Yang, W. (2019). Making Knowledge Tradable in Edge-AI Enabled IoT: A Consortium Blockchain-Based Efficient and Incentive Approach. Ieee Transactions on Industrial Informatics, 15(12), 6367-6378. doi:10.1109/tii.2019.2917307
• Lindskog, H. (2018). Globalization - Understanding the Correlations Between Attitudes Towards Globalization, Time, Resources and Financial Resources. The 6th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management held at 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, İsviçre. 1-13.
• Liu, Q., & Li, J. Y. (2022). The Progress of Business Analytics and Knowledge Management for Enterprise Performance Using Artificial Intelligence and Man-Machine Coordination. Journal of Global Information Management, 30(11), 21. doi:10.4018/jgim.302642
• Lu, H., Li, Y., Chen, M., Kim, H., & Serikawa, S. (2018). Brain intelligence: Go beyond artificial intelligence. Mobile Networks and Applications, 23(2), 368–375. doi:10.1007/s11036-017-0932-8
• Mackare, K., & Jansone, A. (2021). Knowledge Management In Artificial Intelligence Based Automated E-Material Formatting Tool. Paper presented at the International Scientific Conference on Society, Integration, Education, Rezekne Acad Technologies, Rezekne, Litvanya. 379-390.
• Malhotra, Y. (2001). Expert systems for knowledge management: crossing the chasm between information processing and sense making. Expert Systems with Applications, 20(1), 7-16. doi:10.1016/s0957-4174(00)00045-2
• Maule, R., Schacher, G., & Gallup, S. (2002). Knowledge management for the analysis of complex experimentation. Internet Research-Electronic Networking Applications and Policy, 12(5), 427-435. doi:10.1108/10662240210447173
• McRoberts, R. E., Schmoldt, D. L., & Rauscher, H. M. (1991). Enhancing The Scientific Process With Artificial-Intelligence - Forest Science Applications. Ai Applications, 5(2), 5-26.
• Mercier-Laurent, E. (2014). Managing Intellectual Capital in Knowledge Economy. The 2nd IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Warsaw, Polonya. 165-179.
• Mercier-Laurent, E. (2015). Artificial Intelligence for Successful Kflow. The 3rd IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management (AI4KM) Buenos Aires, Arjantin. 149-165.
• Meyer, C., Cohen, D., & Nair, S. (2020). From automats to algorithms: the automation of services using artificial intelligence. Journal of Service Management, 31(2), 145-161. doi:10.1108/josm-05-2019-0161
• Nagasaka, Y., Wibisono, H., Ohtaki, H., & Ishikawa, Y. (1994). Management-System Of Knowledge-Base In Intelligent Machining. Jsme International Journal Series C-Dynamics Control Robotics Design and Manufacturing, 37(4), 836-843. doi:10.1299/jsmec1993.37.836
• Nestian, A. S., Tita, S., & Guta, A. L. (2020). Incorporating artificial intelligence in knowledge creation processes in organizations. The 14th International Conference on Business Excellence (ICBE) - Business Revolution in the Digital Era, Electr Network. 597-606.
• Nguyen, T. M., & Malik, A. (2022). Impact of knowledge sharing on employees' service quality: the moderating role of artificial intelligence. International Marketing Review, 39(3), 482-508. doi:10.1108/imr-02-2021-0078
• Nickols, F. (2000). The knowledge in knowledge management. In J. W. Cortada; & J. A. Woods (Eds.), The knowledge management yearbook 2000-2001, 1-8: Butterworth-Heinemann.
• Nightingale, A. (2009). A guide to systematic literature reviews. Surgery (Oxford), 27(9), 381-384.
• Nonaka, I., Kodama, M., Hirose, A., & Kohlbacher, F. (2014). Dynamic fractal organizations for promoting knowledgebased transformation–A new paradigm for organizational theory. European Management Journal, 32(1), 137-147. doi:10.1016/j.emj.2013.02.003
• Nonaka, I., & Krogh, G. v. (2009). Tacit Knowledge and Knowledge Conversion: Controversy and Advancement in Organizational Knowledge Creation Theory. Organization Science, 20(3), 635-652.
• North, K., & Kumta, G. (2018). Knowledge Management. Value Creation Through Organizational Learning. New York: Springer Cham.
• Obembe, F., & Obembe, D. (2020). Deep Learning and Tacit Knowledge Transfer: An Exploratory Study. The 21st European Conference on Knowledge Management (ECKM), Conventry Univ, 556-565.
• Orlowski, C., & Kowalczuk, Z. (2006). Project Management in Enterprises: IT Implementation Based on Fuzzy Models. International Journal of Enterprise Information Systems, 2(2), 1-12. doi:10.4018/jeis.2006040101
• Owoc, M. L., & Weichbroth, P. (2021). University Students' Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies. The 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Electr Network. 66-81.
• Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., . . . Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Bmj, 372, n71. doi:10.1136/bmj.n71
• Pai, R. Y., Shetty, A., Shetty, A. D., Bhandary, R., Shetty, J., Nayak, S., D'Souza, K. J. (2022). Integrating artificial intelligence for knowledge management systems - synergy among people and technology: a systematic review of the evidence. Economic Research-Ekonomska Istrazivanja, 35(1), 7043-7065. doi:10.1080/1331677x.2022.2058976
• Paschen, J., Kietzmann, J., & Kietzmann, T. C. (2019). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business & Industrial Marketing, 34(7), 1410-1419. doi:10.1108/jbim-10-2018-0295
• Phan, A. C., Phan, T. C., & Trieu, T. N. (2022). A Systematic Approach to Healthcare Knowledge Management Systems in the Era of Big Data and Artificial Intelligence. Applied Sciences-Basel, 12(9), 18. doi:10.3390/app12094455
• Radanliev, P., De Roure, D., Nicolescu, R., Huth, M., & Santos, O. (2022). Digital twins: artificial intelligence and the IoT cyber-physical systems in Industry 4.0. International Journal of Intelligent Robotics and Applications, 6(1), 171-185. doi:10.1007/s41315-021-00180-5
• Sahay, S. K., Goel, N., Jadliwala, M., & Upadhyaya, S. (2021). Advances in Secure Knowledge Management in the Artificial Intelligence Era. Information Systems Frontiers, 23(4), 807-810. doi:10.1007/s10796-021-10179-9
• Sanzogni, L., Guzman, G., & Busch, P. (2017). Artificial intelligence and knowledge management: questioning the tacit dimension. Prometheus, 35(1), 37-56. doi:10.1080/08109028.2017.1364547
• Siemon, D., Jusmann, S., & Assoc Informat, S. (2021). Preferred Appearance of Embodied Conversational Agents in Knowledge Management. Paper presented at the 27th Annual Americas Conference on Information Systems (AMCIS), Electr Network.
• Simon, C. G. K., Jhanjhi, N. Z., Goh, W. W., & Sukumaran, S. (2022). Applications of Machine Learning in Knowledge Management System: A Comprehensive Review. Journal of Information & Knowledge Management, 21(02), 62. doi:10.1142/s0219649222500174
• Sundaresan, S., & Zhang, Z. P. (2022). AI-enabled knowledge sharing and learning: redesigning roles and processes. International Journal of Organizational Analysis, 30(4), 983-999. doi:10.1108/ijoa-12-2020-2558
• Terra, J. C., & Angeloni, T. (2007). Understanding the difference between Information Management and Knowledge Management. TerraForum Consultores. Erişim adresi https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=6d82c4a46fc65f5f1fa931c3286574428c2b0074
• Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14, 207-222.
• Tsui, E., Garner, B. J., & Staab, S. (2000). The role of artificial intelligence in knowledge management. Knowledge-Based Systems, 13(5), 235-239. doi:10.1016/s0950-7051(00)00093-9
• Wagner, C. (2006). Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management. Information Resources Management Journal, 19(1), 70-83. doi:10.4018/irmj.2006010104
• Wang, J. (2022). Innovation of e-commerce marketing model under the background of big data and artificial intelligence. Journal of Computational Methods in Sciences and Engineering, 22(5), 1721-1727. doi:10.3233/jcm-226152
• Wilson, C., & Broomfield, H. (2022). Learning how to do AI: managing organizational boundaries in an intergovernmental learning forum. Public Management Review, 20. doi:10.1080/14719037.2022.2055119
• Xue, C. T. S. (2017). A Literature Review on Knowledge Management in Organizations. Research in Business and Management 4(1):30, 4(30), 30-41.
• Yoon, V., Broome, B., Singh, R., & Guimaraes, T. (2005). Using Agent Technology for Company Knowledge Management. Information Resources Management Journal, 18(2), 94-113. doi:10.4018/irmj.2005040105
• Yu, J. B., Yu, Y., Wang, L. N., Yuan, Z., & Ji, X. (2016). The knowledge modeling system of ready-mixed concrete enterprise and artificial intelligence with ANN-GA for manufacturing production. Journal of Intelligent Manufacturing, 27(4), 905-914. doi:10.1007/s10845-014-0923-6
• Zbuchea, A., & Vidu, C. (2018). Knowledge Management In The Digital Era. The 6th International Academic Conference on Strategica - Challenging the Status Quo in Management and Economics, Bükreş. 696-704.
• Zbuchea, A., Vidu, C., & Pînzaru, F. (2019). Is Artificial Intelligence Changing Knowledge Management? Paper presented at the Strategica - Knowledge Economy, Bükreş. 445-452.