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Bilgi Yönetiminde Yapay Zekânın Rolü: Sistematik Yazın İncelemesi

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

Kaynakça

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Artificial Intelligence in Information Management: A Systematic Literature Review

Yıl 2024, Cilt: 7 Sayı: 1, 140 - 155, 30.06.2024
https://doi.org/10.33721/by.1363087

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.

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.
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  • 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.
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  • 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.
Toplam 97 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Bilgi Sistemleri (Diğer)
Bölüm Hakemli Makaleler
Yazarlar

Mertcan Aluçlu 0000-0003-0168-2229

Yayımlanma Tarihi 30 Haziran 2024
Gönderilme Tarihi 19 Eylül 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 7 Sayı: 1

Kaynak Göster

APA Aluçlu, M. (2024). Bilgi Yönetiminde Yapay Zekânın Rolü: Sistematik Yazın İncelemesi. Bilgi Yönetimi, 7(1), 140-155. https://doi.org/10.33721/by.1363087

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