Integrating Artificial Intelligence into Business

İlknur Zeydan

Derleme

Integrating Artificial Intelligence into Business

Yıl 2025, Cilt: 5 Sayı: 2, 63 - 74, 23.12.2025

Öz

Artificial intelligence (AI) is a technological development that has mastered the art of solving complex problems and tasks. Both individuals and business have been greatly affected by this development. In the age of global competition, it is very important for companies to understand and use artificial intelligence in order to keep up with the times and improve their level of conscious decision-making. Today, while some businesses successfully use artificial intelligence in their business processes, most have not yet started using it. The reason for this is that business is still busy trying to understand what artificial intelligence is, how and where to use it and the academic studies conducted are insufficient. In 2024, the sectors that used artificial intelligence the most were the information and communication sectors. Business in Türkiye are far behind in the use of AI compared to business in the European Union. The purpose of this study is to explain the importance of using artificial intelligence in their business and to show in which areas and how artificial intelligence can be used. This study reviews current articles and reports related to AI in business and proposes a roadmap for transition to AI integration. In this study, unlike the studies in the literature, in order to contribute to business, the artificial intelligence system, its areas of use in business, the benefits it provides to business and the transition process to artificial intelligence in business will be discussed.

Anahtar Kelimeler

Benefits , Transition Process , Business , Areas of Use , Artificial Intelligence System

Kaynakça

İ. Gülşen, “İşletmelerde Yapay Zeka Uygulamaları ve Faydaları: Perakende Sektöründe Bir Derleme,” Tüketici ve Tüketim Araştırmaları Derg., vol. 11, no. 2, pp. 407–436, 2019.
H. Pirim, “Yapay Zeka,” J. Yasar Univ., vol. 1, no. 1, pp. 81–93, 2006.
F. Coşkun and H. D. Gülleroğlu, “Geçmişten Günümüze Yapay Zekanın Gelişimi ve Eğitim Alanında Kullanılması,” Ankara Univ. Egit. Bilim. Fak. Derg., vol. 54, no. 3, pp. 947–966, 2021, doi: 10.30964/auebfd.916220.
I. H. Sarker, “AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems,” SN Comput. Sci., vol. 3, no. 2, pp. 1–20, 2022, doi: 10.1007/s42979-022-01043-x.
C. G. M. Arce, D. A. C. Valderrama, G. A. V. Barragán, and J. K. A. Santillán, “Optimizing Business Performance: Marketing Strategies for Small and Medium Businesses using Artificial Intelligence Tools,” Migr. Lett., vol. 21, no. S1, pp. 193–201, 2023, doi: 10.59670/ml.v21is1.6008.
R. C. Climent, D. M. Haftor, and M. W. Staniewski, “AI-enabled business models for competitive advantage,” J. Innov. Knowl., vol. 9, no. 3, p. 100532, 2024, doi: 10.1016/j.jik.2024.100532.
M. I. Enholm, E. Papagiannidis, P. Mikalef, and J. Krogstie, “Artificial intelligence and glaucoma: A literature review,” J. Fr. Ophtalmol., vol. 45, no. 2, pp. 216–232, 2022, doi: 10.1016/j.jfo.2021.11.002.
F. Huseynov and C. Çubukçu Çerasi, “Yapay zekâ uygulamalari i̇le i̇şletmelerde değer yaratma,” in Yönetim Biliminde Yapay Zekâ, S. Z. İmamoğlu, S. Erat, and H. İnce, Eds., Nobel Akademik Yayıncılık, 2023, pp. 25–46.
F. Morandín-Ahuerma, “International Journal of Research Publication and Reviews What is Artificial Intelligence?,” Int. J. Res. Publ. Rev., vol. 3, no. 12, p. 5500, 2022.
A. Haleem, M. Javaid, M. Asim Qadri, R. Pratap Singh, and R. Suman, “Artificial intelligence (AI) applications for marketing: A literature-based study,” Int. J. Intell. Networks, vol. 3, no. September, pp. 119–132, 2022, doi: 10.1016/j.ijin.2022.08.005.
S. Mishra and A. R. Tripathi, “AI business model: an integrative business approach,” J. Innov. Entrep., vol. 10, no. 1, 2021, doi: 10.1186/s13731-021-00157-5.
N. Soni, E. K. Sharma, N. Singh, and A. Kapoor, “Artificial Intelligence in Business: From Research and Innovation to Market Deployment,” Procedia Comput. Sci., vol. 167, no. 2019, pp. 2200–2210, 2020, doi: 10.1016/j.procs.2020.03.272.
T. Davenport, A. Guha, D. Grewal, and T. Bressgott, “How artificial intelligence will change the future of marketing,” J. Acad. Mark. Sci., vol. 48, no. 1, pp. 24–42, Jan. 2020, doi: 10.1007/s11747-019-00696-0.
V. Devang, S. Chintan, T. Gunjan, and R. Krupa, “Applications of Artificial Intelligence in Marketing,” Ann. Dunarea Jos Univ. Galati. Fascicle I. Econ. Appl. Informatics, vol. 25, no. 1, pp. 28–36, Apr. 2019, doi: 10.35219/eai158404094.
İ. Zeydan, “Pazarlamada Yapay Zeka Üzerine Yapılan Çalışmaların İçerik Analizi,” Karaelmas Sos. Bilim. Derg., vol. 2/1, no. June, pp. 1–11, 2024.
A. R. McAlister, S. Alhabash, and J. Yang, “Artificial intelligence and ChatGPT: Exploring Current and potential future roles in marketing education,” J. Mark. Commun., vol. 30, no. 2, pp. 166–187, 2024, doi: 10.1080/13527266.2023.2289034.
Y. Sullivan and S. Fosso Wamba, “Artificial intelligence and adaptive response to market changes: A strategy to enhance firm performance and innovation,” J. Bus. Res., vol. 174, no. March 2022, p. 114500, 2024, doi: 10.1016/j.jbusres.2024.114500.
W. Zhang and R. Agnihotri, “Artificial intelligence for business and marketing: a customer-centric approach,” J. Mark. Theory Pract., vol. 33, no. 2, pp. 151–155, Apr. 2025, doi: 10.1080/10696679.2024.2332692.
EuroStat, “Use of artificial intelligence in enterprises.” Accessed: Jul. 14, 2025. [Online]. Available: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_in_enterprises
M. İncekara, H. Çoban Kumbalı, and M. Sarıkaya, “The Transformation Process of Turkish SMEs in terms of Digitalization and Sustainability,” Uluslararası İktisadi ve İdari İncelemeler Derg., vol. 41, pp. 1–15, Oct. 2023, doi: 10.18092/ulikidince.1133377.
OECD, The Digital Transformation of SMEs. in OECD Studies on SMEs and Entrepreneurship. Paris: OECD, 2021. doi: 10.1787/bdb9256a-en.
D. Dlugosch, R. Gönenç, Y. K. Bağır, H. Torun, and E. J. Kim, “Unleashing the full potential of the Turkish business sector,” Apr. 2021. doi: 10.1787/3a64ce1c-en.
McKinsey, “Future of Work Turkey’s Talent Transformation in the Digital Era,” 2023. [Online]. Available: https://www.mckinsey.com/~/media/mckinsey/featured insights/future of organizations/the future of work in turkey/future-of-work-turkey-report.pdf
DTO, “National Artificial Intelligence Strategy 2021-2025,” Ankara, 2021. [Online]. Available: https://cbddo.gov.tr/SharedFolderServer/Genel/File/TRNationalAIStrategy2021-2025.pdf
B. Özdağıstanlı, H. Ekici Tağa, S. Uçar, and B. A. Şahinkaya, “AI, Machine Learning & Big Data Laws and Regulations 2025 – Turkey.” [Online]. Available: https://www.globallegalinsights.com/practice-areas/ai-machine-learning-and-big-data-laws-and-regulations/turkey/
M. Davut, “Türkiye’deki işletmelerin yüzde 17,5’i yapay zeka kullanıyor.” Accessed: Jul. 14, 2025. [Online]. Available: https://www.aa.com.tr/tr/bilim-teknoloji/turkiyedeki-isletmelerin-yuzde-17-5i-yapay-zeka-kullaniyor/3405931
M. Atalay and E. Çelik, “Büyük Veri Anali̇zi̇nde Yapay Zekâ Ve Maki̇ne Öğrenmesi̇ Uygulamaları,” Mehmet Akif Ersoy Üniversitesi Sos. Bilim. Enstitüsü Derg., pp. 155–172, 2017, doi: 10.20875/makusobed.309727.
M. R. AI4Science and M. A. Quantum, “The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4,” pp. 1–230, 2023, [Online]. Available: http://arxiv.org/abs/2311.07361
R. Debnath, F. Creutzig, B. K. Sovacool, and E. Shuckburgh, “Harnessing human and machine intelligence for planetary-level climate action,” npj Clim. Action, vol. 2, no. 1, pp. 1–11, 2023, doi: 10.1038/s44168-023-00056-3.
İ. Zeydan, “Yapay Zeka-Pazarlama Entegrasonu: Örnek Uygulamalar,” Uluslararası Yönetim İktisat ve İşletme Derg., vol. 20, no. November, Özel Sayı, pp. 423–446, 2024, doi: 10.17130/ijmeb.1486507.
I. Prassides, “Introduction to LLMs.” Accessed: Jul. 14, 2025. [Online]. Available: https://projector-video-pdf-converter.datacamp.com/34422/chapter1.pdf
Ş. Aktepe and İ. Karakulle, “İşletmelerde Rekabet Üstünlüğü Sağlamada Yapay Zeka Kullanımı: E-Ti̇caret Si̇teleri̇ni̇n Mobi̇l Uygulamalar Örneği̇,” Fenerbahçe Üniversitesi Sos. Bilim. Derg., vol. 3, no. 1, pp. 30–46, Jun. 2023, doi: 10.58620/fbujoss.1287967.
A. De Bruyn, V. Viswanathan, Y. S. Beh, J. K. U. Brock, and F. von Wangenheim, “Artificial Intelligence and Marketing: Pitfalls and Opportunities,” J. Interact. Mark., vol. 51, pp. 91–105, 2020, doi: 10.1016/j.intmar.2020.04.007.
Y. E. Gür, “Yapay Zekâ Ve Pazarlama İli̇şki̇si̇,” Fırat Üniversitesi Uluslararası İktisadi ve İdari Bilim. Derg., vol. 6, no. 2, pp. 131–148, 2022.
A. Litheko, “Small tourism business growth through eco-tourism in Mahikeng, South Africa,” African J. Hosp. Tour. Leis., vol. 10, no. 1, pp. 256–269, 2021, doi: 10.46222/AJHTL.19770720-83.
R. C. Runyan, “Small business in the face of crisis: Identifying barriers to recovery from a natural disaster,” J. Contingencies Cris. Manag., vol. 14, no. 1, pp. 12–26, 2006, doi: 10.1111/j.1468-5973.2006.00477.x.
D. Schiessl, H. B. A. Dias, and J. C. Korelo, “Artificial intelligence in marketing: a network analysis and future agenda,” J. Mark. Anal., vol. 10, no. 3, pp. 207–218, 2022, doi: 10.1057/s41270-021-00143-6.
W. G. Zikmund, Business research methods, 5. Edition. The Dryden Press, Orlando., 1997.
L. Tucci, “E-guide A Guide to Artificial Intelligence in the Enterprise,” no. January, 2024.
U. Köse, “Yapay Zeka Eti̇ği̇ Çerçevesi̇nde Geleceği̇n İşletmeleri̇: Dönüşüm Ve Paradi̇gma Deği̇şi̇kli̇kleri̇,” Mühendislik Bilim. ve Tasarım Derg., vol. 8, no. 5, pp. 290–305, 2020, doi: 10.21923/jesd.833224.
A. Ünal and İ. Kılınç, “Üretken Yapay Zekâların İş Dünyası Üzeri̇ne Etki̇leri̇ne İli̇şki̇n Erken Dönem Bi̇r Değerlendi̇rme,” Elektron. Sos. Bilim. Derg., vol. 23, no. 90, pp. 776–797, 2024, doi: 10.17755/esosder.1411805.
M. Van Den Broeck, “Algorithms and AI systems demystified.” Accessed: Jul. 14, 2025. [Online]. Available: https://campus.datacamp.com/courses/understanding-artificial-intelligence/tasks-ai-can-solve?ex=1
DCO, “AI-Real Toolkit Guiding Nations from Readiness to AI Adoption & Leadership,” 2025. [Online]. Available: https://dco.org/wp-content/uploads/2025/03/DCO-AI-Adoption-Playbook.pdf
OECD/BCG/INSEAD, The Adoption of Artificial Intelligence in Firms. OECD Publishing, 2025. doi: 10.1787/f9ef33c3-en.
I. Mergel, H. Dickinson, J. Stenvall, and M. Gasco, “Implementing AI in the public sector,” Public Manag. Rev., vol. 00, no. 00, pp. 1–14, 2023, doi: 10.1080/14719037.2023.2231950.
A. Tursunbayeva and H. Chalutz-Ben Gal, “Adoption of artificial intelligence: A TOP framework-based checklist for digital leaders,” Bus. Horiz., vol. 67, no. 4, pp. 357–368, 2024, doi: 10.1016/j.bushor.2024.04.006.
OECD, “OECD AI Principles overview,” Recommendation of the Council on Artificial Intelligence. Accessed: Sep. 27, 2025. [Online]. Available: https://oecd.ai/en/ai-principles
A. Scherpenberg, “AI Universe.” Accessed: Jul. 14, 2025. [Online]. Available: https://www.linkedin.com/in/andyscherpenberg/
P. Mikalef and M. Gupta, “Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance,” Inf. Manag., vol. 58, no. 3, p. 103434, 2021, doi: 10.1016/j.im.2021.103434.
S. Ransbotham, F. Candelon, D. Kıron, B. Lafountaın, and S. Khodabandeh, “The Cultural Benefits of Artificial Intelligence in the Enterprise,” 2021. [Online]. Available: https://sloanreview.mit.edu/projects/the-cultural-benefits-of-artificial-intelligence-in-the-enterprise/
E. Plastino and M. Purdy, “Game changing value from artificial intelligence: Eight strategies,” Strateg. Leadersh., vol. 46, no. 1, pp. 16–22, 2018, doi: 10.1108/SL-11-2017-0106.
A. Ünal and İ. Kılınç, “Yapay Zeka İşletme Yönetimi İlişkisi Üzerine bir değerlendirme,” Yönetim Bilişim Sist. Derg., vol. 6, no. 1, pp. 51–78, 2020.
L. L. Pipino, Y. W. Lee, and R. Y. Wang, “Data Quality Assessment,” Commun. ACM, vol. 45, no. 4, pp. 211–218, 2002, doi: 10.1145/505248.506010.
L. McMillan and L. Varga, “A review of the use of artificial intelligence methods in infrastructure systems,” Eng. Appl. Artif. Intell., vol. 116, no. October, p. 105472, 2022, doi: 10.1016/j.engappai.2022.105472.
J. Kirchenbauer, J. Geiping, Y. Wen, J. Katz, I. Miers, and T. Goldstein, “A Watermark for Large Language Models,” Proc. Mach. Learn. Res., vol. 202, pp. 17061–17084, 2023.
J. H. Marquez, “Measuring the POC.” Accessed: Jul. 14, 2025. [Online]. Available: https://datacamp-projector-video-pdf-converter-uploads-prod.s3.amazonaws.com/live/798f3efd-c6d4-4ca5-87e8-57f4885004dc.pdf
N. Haefner, V. Parida, O. Gassmann, and J. Wincent, “Implementing and scaling artificial intelligence: A review, framework, and research agenda,” Technol. Forecast. Soc. Change, vol. 197, no. September, p. 122878, 2023, doi: 10.1016/j.techfore.2023.122878.
M. N. Bayuk and B. Demir, “Endüstri 4.0 Kapsaminda Yapay Zekâ Ve Pazarlamanin Geleceği̇,” J. Soc. Humanit. Adm. Sci., vol. 5, no. 19, pp. 781–799, 2019, doi: 10.31589/joshas.163.
H. F. Kayıran, “The function of artificial intelligence and its sub-branches in the field of health,” Eng. Appl., vol. 1, no. 2, pp. 99–107, 2022.
N. Toros Ntapiapis, “Artificial Intelligence in Digital Marketing: Descriptive Analysis of Companies’ Artificial Intelligence Strategies with Random Sampling,” Etkileşim, vol. 6, no. 12, pp. 368–387, 2023, doi: 10.32739/etkilesim.2023.6.12.226.
E. Ntoutsi et al., “Bias in data-driven artificial intelligence systems—An introductory survey,” Wiley Interdiscip. Rev. Data Min. Knowl. Discov., vol. 10, no. 3, pp. 1–14, 2020, doi: 10.1002/widm.1356.
J. Thakur and B. P. Kushwaha, “Artificial intelligence in marketing research and future research directions: Science mapping and research clustering using bibliometric analysis,” Glob. Bus. Organ. Excell., vol. 43, no. 3, pp. 139–155, 2024, doi: 10.1002/joe.22233.
C. Ebert, G. Gallardo, J. Hernantes, and N. Serrano, “DevOps,” IEEE Software, Publ. BY IEEE Comput. Soc., vol. 33, no. 3, pp. 94–100, 2016, doi: 10.1109/MS.2016.68.
PWBM, “The projected impact of generative AI on future productivity growth,” Penn-Wharton Budget Model. Accessed: Sep. 27, 2025. [Online]. Available: https://budgetmodel.wharton.upenn.edu/issues/2025/9/8/projected-impact-of-generative-ai-on-future-productivity-growth

Yapay Zekânın İşletmelere Entegrasyonu

Yıl 2025, Cilt: 5 Sayı: 2, 63 - 74, 23.12.2025

İlknur Zeydan

Öz

Yapay zeka (YZ), karmaşık sorunları ve görevleri çözme sanatında ustalaşmış bir teknolojik gelişmedir. Hem bireyler hem de işletmeler bu gelişmeden büyük ölçüde etkilenmiştir. Küresel rekabet çağında, şirketlerin zamana ayak uydurmak ve bilinçli karar alma seviyelerini geliştirmek için yapay zekayı anlamaları ve kullanmaları çok önemlidir. Günümüzde bazı işletmeler yapay zekayı iş süreçlerinde başarıyla kullanırken, çoğu henüz kullanmaya başlamamıştır. Bunun nedeni, işletmelerin hala yapay zekanın ne olduğu, nasıl ve nerede kullanılacağını anlamaya çalışmakla meşgul olması ve yapılan akademik çalışmaların yetersiz olmasıdır. 2024 yılında yapay zekayı en çok kullanan sektörler bilgi ve iletişim sektörleri olmuştur. Türkiye'deki işletmeler, Avrupa Birliği'ndeki işletmelerle karşılaştırıldığında YZ kullanımında oldukça geridedir. Bu çalışmanın amacı, işletmelerinde yapay zeka kullanmanın önemini açıklamak ve yapay zekanın hangi alanlarda ve nasıl kullanılabileceğini göstermektir. Bu çalışma, işletmelerde YZ ile ilgili güncel makaleleri ve raporları inceleyerek YZ entegrasyonuna geçiş için bir yol haritası önermektedir. Bu çalışmada, literatürdeki çalışmalardan farklı olarak işletmelere katkı sağlamak amacıyla yapay zekâ sistemi, işletmelerde kullanım alanları, işletmelere sağladığı faydalar ve işletmelerde yapay zekâya geçiş süreci ele alınacaktır.

Anahtar Kelimeler

Faydalar , Geçiş Süreci , İşletmeler , Kullanım Alanları , Yapay Zekâ Sistemi

Kaynakça

İ. Gülşen, “İşletmelerde Yapay Zeka Uygulamaları ve Faydaları: Perakende Sektöründe Bir Derleme,” Tüketici ve Tüketim Araştırmaları Derg., vol. 11, no. 2, pp. 407–436, 2019.
H. Pirim, “Yapay Zeka,” J. Yasar Univ., vol. 1, no. 1, pp. 81–93, 2006.
F. Coşkun and H. D. Gülleroğlu, “Geçmişten Günümüze Yapay Zekanın Gelişimi ve Eğitim Alanında Kullanılması,” Ankara Univ. Egit. Bilim. Fak. Derg., vol. 54, no. 3, pp. 947–966, 2021, doi: 10.30964/auebfd.916220.
I. H. Sarker, “AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems,” SN Comput. Sci., vol. 3, no. 2, pp. 1–20, 2022, doi: 10.1007/s42979-022-01043-x.
C. G. M. Arce, D. A. C. Valderrama, G. A. V. Barragán, and J. K. A. Santillán, “Optimizing Business Performance: Marketing Strategies for Small and Medium Businesses using Artificial Intelligence Tools,” Migr. Lett., vol. 21, no. S1, pp. 193–201, 2023, doi: 10.59670/ml.v21is1.6008.
R. C. Climent, D. M. Haftor, and M. W. Staniewski, “AI-enabled business models for competitive advantage,” J. Innov. Knowl., vol. 9, no. 3, p. 100532, 2024, doi: 10.1016/j.jik.2024.100532.
M. I. Enholm, E. Papagiannidis, P. Mikalef, and J. Krogstie, “Artificial intelligence and glaucoma: A literature review,” J. Fr. Ophtalmol., vol. 45, no. 2, pp. 216–232, 2022, doi: 10.1016/j.jfo.2021.11.002.
F. Huseynov and C. Çubukçu Çerasi, “Yapay zekâ uygulamalari i̇le i̇şletmelerde değer yaratma,” in Yönetim Biliminde Yapay Zekâ, S. Z. İmamoğlu, S. Erat, and H. İnce, Eds., Nobel Akademik Yayıncılık, 2023, pp. 25–46.
F. Morandín-Ahuerma, “International Journal of Research Publication and Reviews What is Artificial Intelligence?,” Int. J. Res. Publ. Rev., vol. 3, no. 12, p. 5500, 2022.
A. Haleem, M. Javaid, M. Asim Qadri, R. Pratap Singh, and R. Suman, “Artificial intelligence (AI) applications for marketing: A literature-based study,” Int. J. Intell. Networks, vol. 3, no. September, pp. 119–132, 2022, doi: 10.1016/j.ijin.2022.08.005.
S. Mishra and A. R. Tripathi, “AI business model: an integrative business approach,” J. Innov. Entrep., vol. 10, no. 1, 2021, doi: 10.1186/s13731-021-00157-5.
N. Soni, E. K. Sharma, N. Singh, and A. Kapoor, “Artificial Intelligence in Business: From Research and Innovation to Market Deployment,” Procedia Comput. Sci., vol. 167, no. 2019, pp. 2200–2210, 2020, doi: 10.1016/j.procs.2020.03.272.
T. Davenport, A. Guha, D. Grewal, and T. Bressgott, “How artificial intelligence will change the future of marketing,” J. Acad. Mark. Sci., vol. 48, no. 1, pp. 24–42, Jan. 2020, doi: 10.1007/s11747-019-00696-0.
V. Devang, S. Chintan, T. Gunjan, and R. Krupa, “Applications of Artificial Intelligence in Marketing,” Ann. Dunarea Jos Univ. Galati. Fascicle I. Econ. Appl. Informatics, vol. 25, no. 1, pp. 28–36, Apr. 2019, doi: 10.35219/eai158404094.
İ. Zeydan, “Pazarlamada Yapay Zeka Üzerine Yapılan Çalışmaların İçerik Analizi,” Karaelmas Sos. Bilim. Derg., vol. 2/1, no. June, pp. 1–11, 2024.
A. R. McAlister, S. Alhabash, and J. Yang, “Artificial intelligence and ChatGPT: Exploring Current and potential future roles in marketing education,” J. Mark. Commun., vol. 30, no. 2, pp. 166–187, 2024, doi: 10.1080/13527266.2023.2289034.
Y. Sullivan and S. Fosso Wamba, “Artificial intelligence and adaptive response to market changes: A strategy to enhance firm performance and innovation,” J. Bus. Res., vol. 174, no. March 2022, p. 114500, 2024, doi: 10.1016/j.jbusres.2024.114500.
W. Zhang and R. Agnihotri, “Artificial intelligence for business and marketing: a customer-centric approach,” J. Mark. Theory Pract., vol. 33, no. 2, pp. 151–155, Apr. 2025, doi: 10.1080/10696679.2024.2332692.
EuroStat, “Use of artificial intelligence in enterprises.” Accessed: Jul. 14, 2025. [Online]. Available: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Use_of_artificial_intelligence_in_enterprises
M. İncekara, H. Çoban Kumbalı, and M. Sarıkaya, “The Transformation Process of Turkish SMEs in terms of Digitalization and Sustainability,” Uluslararası İktisadi ve İdari İncelemeler Derg., vol. 41, pp. 1–15, Oct. 2023, doi: 10.18092/ulikidince.1133377.
OECD, The Digital Transformation of SMEs. in OECD Studies on SMEs and Entrepreneurship. Paris: OECD, 2021. doi: 10.1787/bdb9256a-en.
D. Dlugosch, R. Gönenç, Y. K. Bağır, H. Torun, and E. J. Kim, “Unleashing the full potential of the Turkish business sector,” Apr. 2021. doi: 10.1787/3a64ce1c-en.
McKinsey, “Future of Work Turkey’s Talent Transformation in the Digital Era,” 2023. [Online]. Available: https://www.mckinsey.com/~/media/mckinsey/featured insights/future of organizations/the future of work in turkey/future-of-work-turkey-report.pdf
DTO, “National Artificial Intelligence Strategy 2021-2025,” Ankara, 2021. [Online]. Available: https://cbddo.gov.tr/SharedFolderServer/Genel/File/TRNationalAIStrategy2021-2025.pdf
B. Özdağıstanlı, H. Ekici Tağa, S. Uçar, and B. A. Şahinkaya, “AI, Machine Learning & Big Data Laws and Regulations 2025 – Turkey.” [Online]. Available: https://www.globallegalinsights.com/practice-areas/ai-machine-learning-and-big-data-laws-and-regulations/turkey/
M. Davut, “Türkiye’deki işletmelerin yüzde 17,5’i yapay zeka kullanıyor.” Accessed: Jul. 14, 2025. [Online]. Available: https://www.aa.com.tr/tr/bilim-teknoloji/turkiyedeki-isletmelerin-yuzde-17-5i-yapay-zeka-kullaniyor/3405931
M. Atalay and E. Çelik, “Büyük Veri Anali̇zi̇nde Yapay Zekâ Ve Maki̇ne Öğrenmesi̇ Uygulamaları,” Mehmet Akif Ersoy Üniversitesi Sos. Bilim. Enstitüsü Derg., pp. 155–172, 2017, doi: 10.20875/makusobed.309727.
M. R. AI4Science and M. A. Quantum, “The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4,” pp. 1–230, 2023, [Online]. Available: http://arxiv.org/abs/2311.07361
R. Debnath, F. Creutzig, B. K. Sovacool, and E. Shuckburgh, “Harnessing human and machine intelligence for planetary-level climate action,” npj Clim. Action, vol. 2, no. 1, pp. 1–11, 2023, doi: 10.1038/s44168-023-00056-3.
İ. Zeydan, “Yapay Zeka-Pazarlama Entegrasonu: Örnek Uygulamalar,” Uluslararası Yönetim İktisat ve İşletme Derg., vol. 20, no. November, Özel Sayı, pp. 423–446, 2024, doi: 10.17130/ijmeb.1486507.
I. Prassides, “Introduction to LLMs.” Accessed: Jul. 14, 2025. [Online]. Available: https://projector-video-pdf-converter.datacamp.com/34422/chapter1.pdf
Ş. Aktepe and İ. Karakulle, “İşletmelerde Rekabet Üstünlüğü Sağlamada Yapay Zeka Kullanımı: E-Ti̇caret Si̇teleri̇ni̇n Mobi̇l Uygulamalar Örneği̇,” Fenerbahçe Üniversitesi Sos. Bilim. Derg., vol. 3, no. 1, pp. 30–46, Jun. 2023, doi: 10.58620/fbujoss.1287967.
A. De Bruyn, V. Viswanathan, Y. S. Beh, J. K. U. Brock, and F. von Wangenheim, “Artificial Intelligence and Marketing: Pitfalls and Opportunities,” J. Interact. Mark., vol. 51, pp. 91–105, 2020, doi: 10.1016/j.intmar.2020.04.007.
Y. E. Gür, “Yapay Zekâ Ve Pazarlama İli̇şki̇si̇,” Fırat Üniversitesi Uluslararası İktisadi ve İdari Bilim. Derg., vol. 6, no. 2, pp. 131–148, 2022.
A. Litheko, “Small tourism business growth through eco-tourism in Mahikeng, South Africa,” African J. Hosp. Tour. Leis., vol. 10, no. 1, pp. 256–269, 2021, doi: 10.46222/AJHTL.19770720-83.
R. C. Runyan, “Small business in the face of crisis: Identifying barriers to recovery from a natural disaster,” J. Contingencies Cris. Manag., vol. 14, no. 1, pp. 12–26, 2006, doi: 10.1111/j.1468-5973.2006.00477.x.
D. Schiessl, H. B. A. Dias, and J. C. Korelo, “Artificial intelligence in marketing: a network analysis and future agenda,” J. Mark. Anal., vol. 10, no. 3, pp. 207–218, 2022, doi: 10.1057/s41270-021-00143-6.
W. G. Zikmund, Business research methods, 5. Edition. The Dryden Press, Orlando., 1997.
L. Tucci, “E-guide A Guide to Artificial Intelligence in the Enterprise,” no. January, 2024.
U. Köse, “Yapay Zeka Eti̇ği̇ Çerçevesi̇nde Geleceği̇n İşletmeleri̇: Dönüşüm Ve Paradi̇gma Deği̇şi̇kli̇kleri̇,” Mühendislik Bilim. ve Tasarım Derg., vol. 8, no. 5, pp. 290–305, 2020, doi: 10.21923/jesd.833224.
A. Ünal and İ. Kılınç, “Üretken Yapay Zekâların İş Dünyası Üzeri̇ne Etki̇leri̇ne İli̇şki̇n Erken Dönem Bi̇r Değerlendi̇rme,” Elektron. Sos. Bilim. Derg., vol. 23, no. 90, pp. 776–797, 2024, doi: 10.17755/esosder.1411805.
M. Van Den Broeck, “Algorithms and AI systems demystified.” Accessed: Jul. 14, 2025. [Online]. Available: https://campus.datacamp.com/courses/understanding-artificial-intelligence/tasks-ai-can-solve?ex=1
DCO, “AI-Real Toolkit Guiding Nations from Readiness to AI Adoption & Leadership,” 2025. [Online]. Available: https://dco.org/wp-content/uploads/2025/03/DCO-AI-Adoption-Playbook.pdf
OECD/BCG/INSEAD, The Adoption of Artificial Intelligence in Firms. OECD Publishing, 2025. doi: 10.1787/f9ef33c3-en.
I. Mergel, H. Dickinson, J. Stenvall, and M. Gasco, “Implementing AI in the public sector,” Public Manag. Rev., vol. 00, no. 00, pp. 1–14, 2023, doi: 10.1080/14719037.2023.2231950.
A. Tursunbayeva and H. Chalutz-Ben Gal, “Adoption of artificial intelligence: A TOP framework-based checklist for digital leaders,” Bus. Horiz., vol. 67, no. 4, pp. 357–368, 2024, doi: 10.1016/j.bushor.2024.04.006.
OECD, “OECD AI Principles overview,” Recommendation of the Council on Artificial Intelligence. Accessed: Sep. 27, 2025. [Online]. Available: https://oecd.ai/en/ai-principles
A. Scherpenberg, “AI Universe.” Accessed: Jul. 14, 2025. [Online]. Available: https://www.linkedin.com/in/andyscherpenberg/
P. Mikalef and M. Gupta, “Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance,” Inf. Manag., vol. 58, no. 3, p. 103434, 2021, doi: 10.1016/j.im.2021.103434.
S. Ransbotham, F. Candelon, D. Kıron, B. Lafountaın, and S. Khodabandeh, “The Cultural Benefits of Artificial Intelligence in the Enterprise,” 2021. [Online]. Available: https://sloanreview.mit.edu/projects/the-cultural-benefits-of-artificial-intelligence-in-the-enterprise/
E. Plastino and M. Purdy, “Game changing value from artificial intelligence: Eight strategies,” Strateg. Leadersh., vol. 46, no. 1, pp. 16–22, 2018, doi: 10.1108/SL-11-2017-0106.
A. Ünal and İ. Kılınç, “Yapay Zeka İşletme Yönetimi İlişkisi Üzerine bir değerlendirme,” Yönetim Bilişim Sist. Derg., vol. 6, no. 1, pp. 51–78, 2020.
L. L. Pipino, Y. W. Lee, and R. Y. Wang, “Data Quality Assessment,” Commun. ACM, vol. 45, no. 4, pp. 211–218, 2002, doi: 10.1145/505248.506010.
L. McMillan and L. Varga, “A review of the use of artificial intelligence methods in infrastructure systems,” Eng. Appl. Artif. Intell., vol. 116, no. October, p. 105472, 2022, doi: 10.1016/j.engappai.2022.105472.
J. Kirchenbauer, J. Geiping, Y. Wen, J. Katz, I. Miers, and T. Goldstein, “A Watermark for Large Language Models,” Proc. Mach. Learn. Res., vol. 202, pp. 17061–17084, 2023.
J. H. Marquez, “Measuring the POC.” Accessed: Jul. 14, 2025. [Online]. Available: https://datacamp-projector-video-pdf-converter-uploads-prod.s3.amazonaws.com/live/798f3efd-c6d4-4ca5-87e8-57f4885004dc.pdf
N. Haefner, V. Parida, O. Gassmann, and J. Wincent, “Implementing and scaling artificial intelligence: A review, framework, and research agenda,” Technol. Forecast. Soc. Change, vol. 197, no. September, p. 122878, 2023, doi: 10.1016/j.techfore.2023.122878.
M. N. Bayuk and B. Demir, “Endüstri 4.0 Kapsaminda Yapay Zekâ Ve Pazarlamanin Geleceği̇,” J. Soc. Humanit. Adm. Sci., vol. 5, no. 19, pp. 781–799, 2019, doi: 10.31589/joshas.163.
H. F. Kayıran, “The function of artificial intelligence and its sub-branches in the field of health,” Eng. Appl., vol. 1, no. 2, pp. 99–107, 2022.
N. Toros Ntapiapis, “Artificial Intelligence in Digital Marketing: Descriptive Analysis of Companies’ Artificial Intelligence Strategies with Random Sampling,” Etkileşim, vol. 6, no. 12, pp. 368–387, 2023, doi: 10.32739/etkilesim.2023.6.12.226.
E. Ntoutsi et al., “Bias in data-driven artificial intelligence systems—An introductory survey,” Wiley Interdiscip. Rev. Data Min. Knowl. Discov., vol. 10, no. 3, pp. 1–14, 2020, doi: 10.1002/widm.1356.
J. Thakur and B. P. Kushwaha, “Artificial intelligence in marketing research and future research directions: Science mapping and research clustering using bibliometric analysis,” Glob. Bus. Organ. Excell., vol. 43, no. 3, pp. 139–155, 2024, doi: 10.1002/joe.22233.
C. Ebert, G. Gallardo, J. Hernantes, and N. Serrano, “DevOps,” IEEE Software, Publ. BY IEEE Comput. Soc., vol. 33, no. 3, pp. 94–100, 2016, doi: 10.1109/MS.2016.68.
PWBM, “The projected impact of generative AI on future productivity growth,” Penn-Wharton Budget Model. Accessed: Sep. 27, 2025. [Online]. Available: https://budgetmodel.wharton.upenn.edu/issues/2025/9/8/projected-impact-of-generative-ai-on-future-productivity-growth

Toplam 64 adet kaynakça vardır.

Ayrıntılar

Birincil Dil	İngilizce
Konular	Yapay Zeka (Diğer)
Bölüm	Derleme
Yazarlar	İlknur Zeydan 0000-0002-6095-5429
Gönderilme Tarihi	16 Temmuz 2025
Kabul Tarihi	6 Kasım 2025
Yayımlanma Tarihi	23 Aralık 2025
Yayımlandığı Sayı	Yıl 2025 Cilt: 5 Sayı: 2

Kaynak Göster

IEEE	İ. Zeydan, “Integrating Artificial Intelligence into Business”, Journal of Artificial Intelligence and Data Science, c. 5, sy. 2, ss. 63–74, 2025.

Makale Dosyaları

Tam Metin