Yenilikçi Endüstri 4.0 Paradigması Kapsamında Kurumsal Kaynak Planlaması ve Yönetim Bilişim Sistemlerinde Yapay Zeka
Abstract
Keywords
References
- Agrawal A., Gans J., Goldfarb A., (2018) “Prediction Machines: The Simple Economics of Artificial Intelligence” (Boston: Harvard Business Review Press,).
- Alhayani B., Mohammed H. J., Chaloob I. Z., Ahmed J. S., (2021) Effectiveness of artificial intelligence techniques against cyber security risks apply of IT industry, Materials Today: Proceedings, ISSN 2214-7853, https://doi.org/10.1016/j.matpr.2021.02.531
- Al-Mashari, M. & Zairi, M. (2000) Supply-chain re-engineering using enterprise resource planning (ERP) systems: an analysis of an SAP R/3 implementation case. International Journal of Physical Distribution & Logistics Management, 30 (3/4), 296–313.
- Anaçoğlu, E . (2019). Effects of Information Technology Usage on Business Performance. Pamukkale İşletme ve Bilişim Yönetimi Dergisi, 5 (1), 22-29. https://dergipark.org.tr/ tr/pub/pibyd/issue/42368/427860
- Azizi A. (2019) Hybrid Artificial Intelligence Optimization Technique. In: Applications of Artificial Intelligence Techniques in Industry 4.0. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-2640-0_4
- Baxter, N., Collings, D., & Adjali, I. (2003). Agent-Based Modelling Intelligent Customer Relationship Management. BT Technology Journal, 21(2), 126-132.
- Beaumaster, S. (2002) Local government IT implementation issues: a challenge for public administration. Paper presented at the 35th Hawaii International Conference on System Sciences, Hawaii, USA.
- Bengio, Y. (2009). Learning deep architectures for AI. Foundations and Trends®in Machine Learning, 2(1), 1-127.
Details
Primary Language
Turkish
Subjects
Business Administration
Journal Section
Research Article
Authors
Ahmet Efe
*
0000-0002-2691-7517
Türkiye
Publication Date
June 30, 2021
Submission Date
April 11, 2021
Acceptance Date
May 28, 2021
Published in Issue
Year 2021 Volume: 8 Number: 1