İşletmelerde Yapay Zekâ Alanında Scopus Veritabanında Yapılan Çalışmaların Bibliyometrik Olarak Analizi

Abstract

İş dünyası ve dolayısıyla işletmeler, teknolojik ilerlemeleri takip ederek rekabetçi kalmak için sürekli değişmek durumundadırlar. Günümüzde bu değişikliklerin öncü itici güçlerinden birisi yapay zekâ olarak görülmektedir. İşletmeler, büyük veri analitiği, otomasyon ve kişiselleştirilmiş müşteri deneyimi gibi alanlarda yapay zekâyı kullanarak rekabet avantajı elde edebilmektedirler. Bu çalışma, scopus veritabanında yer alan işletme, yönetim ve muhasebe kategori grubunda yayınlanan işletmelerde yapay zekâ ile ilgili yayınların bibliyometrik analizini sunmaktadır. Araştırma verileri scopus veri tabanından 1984-2023 arası yayınlanmış toplam 2802 eserin, yayın başlığı, özet, anahtar kelime ve yazar bilgilerinden oluşmaktadır. Bu veriler VOSviewer (Benzerliklerin Görselleştirilmesi) ve R Studio Biometrix paket programları ve scopus veri tabanında yer alan analiz sonuçları vasıtasıyla incelenmiştir. Araştırma sonuçları, bu konuda araştırmacılar arasında büyük bir ilgi artışının olduğunu göstermektedir. Son beş yılda, bu konuyla ilgili yayın sayısı önemli ölçüde artarak 150'den 520'ye yükselmiştir. Lecture Notes in Business Information Processing dergisi bu alanda en fazla yayın yapan ve en popüler dergi olarak öne çıkmaktadır. Araştırma yapay zekâ ile ilgili yayınların ülke olarak Amerika, Hindistan, Çin, İngiltere ve Almanya'nın önde geldiğini görülmüştür. Ayrıca en çok atıf alan yayınların Amerika, İngiltere, Hindistan, Almanya ve Avustralya tarafından yayınlandığı saptanmıştır. Bu çalışma, işletmelerde yapay zekâ kullanımı ile ilgili önemli bulguları sunmakta ve gelecekteki çalışmalara yön vermeyi amaçlamaktadır.

Keywords

• Yapay Zekâ
• İşletmeler
• Scopus Veritabanı
• Bibliyometrik Analiz

Bibliometrics Analysis of Studies Carried out in Scopus Database in the Field of Artificial Intelligence in Businesses

Abstract

The business world, and therefore businesses, have to constantly change to stay competitive by following technological advances. Today, one of the leading drivers of these changes is seen as artificial intelligence. Businesses can gain competitive advantage by using artificial intelligence in areas such as big data analytics, automation and personalized customer experience. This study presents a bibliometric analysis of publications related to artificial intelligence in businesses published in the business, management and accounting category group in the Scopus database. The research data consists of article title, abstract, keyword and author information of a total of 2802 publications published between 1984-2023 from the Scopus database. These data were examined through VOSviewer (Visualization of Similarities) and R Studio Biometrix package programs and analysis results in the Scopus database. Research results show that there is a great increase in interest among researchers on this subject. Over the last five years, the number of publications on this topic has increased significantly, from 150 to 520. Lecture Notes in Business Information Processing journal stands out as the most published and popular journal in this field. The research has shown that publications on artificial intelligence are the leading countries in America, India, China, England and Germany. In addition, it was determined that the most cited publications were published by America, England, India, Germany and Australia. This study presents important findings regarding the use of artificial intelligence in businesses and aims to guide future studies.

Keywords

• Artificial Intelligence
• Businesses
• Scopus Database
• Bibliometric Analysis

References

1. ALKADDOUR, Manar. (2022), “Pazarlamada Yapay Zekâ Kullanımı”, İşletme ve Girişimcilik Araştırmaları Dergisi, S.1, ss.48-66.
2. BAYUK, Mahmut Nedim ve DEMİR, Beyza Nur (2019), “Endüstri 4.0 Kapsamında Yapay Zekâ ve Pazarlamanın Geleceği”, International Journal of Social, Humanities and Administrative Sciences, S.5(19), ss.781-799.
3. BONETTI, Francesca, MONTECCHI, Matteo, PLANGGER, Kirk ve SCHAU, Hope Jensen (2022), “Practice Co-Evolution: Collaboratively Embedding Artificial Intelligence in Retail Practices”, Journal of the Academy of Marketing Science, S.51(4), ss.867-888.
4. CİBAROĞLU, Mehmet Oytun ve YALÇINKAYA, Bahattin (2019), "Belge ve Arşiv Yönetimi Süreçlerinde Büyük Veri Analitiği ve Yapay Zekâ Uygulamaları", Bilgi Yönetimi, S.2(1), ss.44-58.
5. DAVENPORT, Thomas H. (2018), “From Analytics to Artificial Intelligence”, Journal of Business Analytics, S.1(2), ss.73-80.
6. EIDIZADEH, Rosa, SALEHZADEH, Reza ve CHITSAZ ESFAHANI, Ali (2017), “Analysing the Role of Business Intelligence, Knowledge Sharing and Organisational Innovation on Gaining Competitive Advantage”, Journal of Workplace Learning, S.29(4), ss.250-267.
7. FETZER, James H. ve FETZER, James H. (1990), What is Artificial Intelligence?, Springer Publisher, Netherlands.
8. GAO, Fang, JIA, Xiafeng, ZHAO, Zhao, CHEN, Chih-Cheng, XU, Feng, GENG, Zhe ve SONG, Xiaotong (2019), “Bibliometric Analysis oon Tendency and Topics of Artificial Intelligence Over Last Decade”, Microsystem Technologies, S.27, ss.1545-1557.

9. GOODFELLOW, Ian, BENGIO, Yoshua ve COURVILLE, Aaron (2016), Deep Learning, MIT Press, Cambridge (UK).
10. GÜLŞEN, İzzet (2019), “İşletmelerde Yapay Zekâ Uygulamaları ve Faydaları: Perakende Sektöründe Bir Derleme”, Tüketici ve Tüketim Araştırmaları Dergisi, S.11(2), ss.407-436.
11. HAENLEIN, Michael ve KAPLAN, Andreas (2019), “A Brief History of Artificial Intelligence: on the Past, Present, and Future of Artificial Intelligence”, California Management Review, S.61(4), ss.5-14.
12. HASSABIS, Demis, KUMARAN, Dharshan, SUMMERFIELD, Christophe ve BOTVINICK, Matthew (2017), “Neuroscience-Inspired Artificial Intelligence”, Neuron, S.95(2), ss.245-258.
13. HINOJO-LUCENA, Francisco-Javier, AZNAR-DIAZ, Inmaculada, CÁCERES-RECHE, María-Pilar ve ROMERO-RODRIGUEZ, José-María (2019), “Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature”, Education Sciences, S.9(1), ss.51(1-9).
14. HOU, Jianjun, YAO, Yi, HAMEED, Javaria, KAMRAN, Hafiz Waqas, NAWAZ, Muhammad Atif, AQDAS, Ramaisa ve PATWARY, Ataul Karim (2021), "The Role of Artificial and Non-artificial Intelligence in the New Product Success with the Moderating Role of New Product Innovation: A Case of Manufacturing Companies in China", Complexity, S.(2021), ss.1-14.
15. HUANG, Xueying, YANG, Zhiying, ZHANG, Jinning, WANG, Ruojiao, FAN, Jiahui, ZHANG, Heng, XU, Rong, LI, Xia, YU, Siying, LONG, Linna ve HUANG, He (2022), “A Bibliometric Analysis Based on Web of Science: Current Perspectives and Potential Trends of SMAD7 in Oncology”, Frontiers in Cell and Developmental Biology, S.9, ss.1-14.
16. ISLAM, Md Mohaimenul, POLY, Tahmina Nasrin, ALSINGLAWI, Belal, LIN, Li-Fong, CHIEN, Huo-Chen, LIU, Ju-Chi ve JIAN, Wen-Shan (2021), "Application of Artificial Intelligence in Covid-19 Pandemic: Bibliometric Analysis", Healthcare, S.9(4), ss.441(1-10).
17. KAMRAN, Hashmatullah (2021), “Pazarlamada Yapay Zekânın Kullanımı: Yapay Zekâ Pazarlama Araçlarının Tüketici Kabulüne Ilişkin Bir Araştırma”, Yüksek Lisans Tezi, Bursa Uludag Üniversitesi Sosyal Bilimler Enstitüsü, Bursa.
18. KARATAŞ, Serap (2021), “Yapay Zekâ ve Açık İnovasyon Etkileşiminin İşletmeler Üzerine Etkileri”, Yükseklisans Tezi, Aydın Adnan Menderes Üniversitesi Sosyal Bilimler Enstitüsü, Aydın.
19. MAIER, Dorin, MAIER, Andreea, ASCHILEAN, Ioan, ANASTASIU, Livia ve GAVRIS, Ovidiu (2020), “The Relationship between Innovation and Sustainability: A Bibliometric Review of the Literature”, Sustainability, S.12(10), ss.4083(1-20).
20. NELSON, Scott D., WALSH, Colin G., OLSEN, Casey A., McLAUGHLIN, Andrew J., LEGRAND, Joseph R. SCHUTZ, Nick ve LASKO, Thomas A. (2020), "Demystifying Artificial Intelligence in Pharmacy", American Journal of Health-System Pharmacy: AJHP - Official Journal of the American Society of Health-System Pharmacists, S.77(19), ss.1556-1570.
21. OLIVEIRA, Otavio Jose de, SILVA, Fabia Francisco da, JULIANI, Fernando, BARBOSA, Luis Cesar Ferreira Motta ve NUNHES, Thais Vieira (2019), “Bibliometric Method for Mapping the State-of-the-Art and Identifying Research Gaps and Trends in Literature: An Essential Instrument to Support the Development of Scientific Projects”, Scientometrics Recent Advances (Ed. Suad Kunosic, Enver Zerem), IntechOpen, 10.5772/intechopen.77450.
22. POPENICI, Stefan A. D. ve KERR, Sharon (2017), "Exploring the Impact of Artificial Intelligence on Teaching and Learning in Higher Education", Research and Practice in Technology Enhanced Learning, S.12(1), ss.22(1-13).
23. RUSSELL, Stuart J. ve NORVIG, Peter (2022), Artificial Intelligence: A Modern Approach, Pearson Education Press, London (UK), 4th Edition.
24. SCHIAVONE, Francesco, PIETRONUDO, Maria Cristina, SABETTA, Annamaria, BERNHARD, Fabian (2022), "Designing AI Implications in the Venture Creation Process", International Journal of Entrepreneurial Behaviour & Research, S.29(4), ss.838-859.
25. SERRANO, Laura, SIANES, Antonio ve ARIZA-MONTES, Antonio (2019), “Using Bibliometric Methods to Shed Light on the Concept of Sustainable Tourism”, Sustainability, S.11(24), ss.6964(1-25).
26. SEVİM, Adnan ve BÜLBÜL, Samet (2017), “Kurumsal Kaynak Planlaması (Enterprise Resource Planning ERP) Sistemlerinin Sürekli Denetiminde Yapay Zekâ Kullanımı”, Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, S.9(1), ss.1-12.
27. SUTTON, Richard S. ve BARTO, Andrew G. (2018), Reinforcement Learning: An Introduction, MIT Press, Cambridge (UK), 2nd Edition.
28. THAYYIB, P. V., MAMILLA, Rajesh, KHAN, Mohsin, FATIMA, Humaira, ASIM, Mohd, ANWAR, Imran, SHAMSUDHEEN, M. K. KHAN, Mohd Asif (2023), “State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary”, Sustainability, S.15(5), ss.4026(1-38).
29. TRAN, Bach Xuan, VU, Giang Thu, HA, Giang Hai, VUONG, Quan-Hoang, HO, Manh-Tung ,VUONG, Thu-Trang, LA, Viet-Phuong, HO, Manh-Toan, NGHIEM, Kien-Cuong P. ve NGUYEN, Huong Lan Thi (2019), "Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study", Journal of Clinical Medicine, S.8(3), ss.360(1-18).
30. YADAV, Satendra Kumar (2021), “A Five Year Bibliometric Analysis of Artificial Intelligence (AI) from 2016 to 2020”, 2021 5th International Conference on Information Systems and Computer Networks (ISCON), 22-23 October 2021 - Mathura (India), ss.1-4.
31. YANG, Xiaozhe (2019), “Accelerated Move for AI Education in China”, Ecnu Review of Education, S.2(3), ss.347-352.
32. ZAWACKI-RICHTER, Olaf, MARIN, Victoria I., BOND, Melissa ve GOUVERNEUR, Franziska (2019), "Systematic Review of Research on Artificial Intelligence Applications in Higher Education – Where Are the Educators?", International Journal of Educational Technology in Higher Education, S.16(1), ss.39(1-27).