Araştırma Makalesi
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A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE

Yıl 2023, Cilt: 4 Sayı: Özel, 184 - 197, 29.10.2023
https://doi.org/10.58702/teyd.1357551

Öz

Technological innovations in every field in recent years directly affect businesses and sectors. Artificial intelligence is one of the technologies that has attracted the most attention recently among these innovations. In this respect, it is a research topic that needs to be examined from a broad perspective and concerns many disciplines. Artificial intelligence has started a very fast and radical transformation process in the electronic commerce sector, as in many other sectors. It is seen that businesses in the e-commerce sector greatly benefit from artificial intelligence technologies to increase efficiency and productivity. Since artificial intelligence provides e-commerce companies with a high cost, efficiency and speed advantage, it is extremely important for e-commerce companies that want to be successful in the global competitive market to integrate artificial intelligence technologies into their processes. This article analyzes research trends for the use of artificial intelligence technology in e-commerce. The aim is to determine how this technology affects the e-commerce industry. Within the scope of the research, a systematic review, descriptive network analysis and bibliometric analysis methods were used within the scope of co-authorship, co-citation and keyword analysis. The result of the research reveals that the use of artificial intelligence technologies in e-commerce is an increasing trend in academic studies. The article is important in terms of the differentiation of theoretical and applied research in this field, keeping the topic up-to-date and guiding researchers who will work in this field.

Kaynakça

  • Barrios, M., A. Borrego, A. Vilaginés, C. Ollé and M. Somoza (2008). “A Bibliometric Study of Psychological Research on Tourism”. Scientometrics, 77 (3), 453-467.
  • Chaffey, D. and F. E. Chadwick (2019). Digital Marketing. (Seventh Edition). Harlow, England, New York: Pearson. Diodato, V. P. (1994). Dictionary of Bibliometrics. New York: Haworth Press.
  • Dwivedi, Y. K., L. Hughes, E. Ismagilova, et all. (2019). “Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy”. International Journal of Information Management, 57 (101994), 1-47.
  • King, K. (2019). Using Artificial Intelligence in Marketing: How to Harness AI and Maintain the Competitive Edge. (1st Edition). New York: Kogan Page Ltd.
  • Li, S. (2020). “Structure Optimization of e-Commerce Platform Based on Artificial Intelligence and Blockchain Technology”. Wireless Communications and Mobile Computing, 12, 1-8.
  • Lu, H., Y. Li, M. Chen, H. Kim and S. Serikawa (2018). “Brain Intelligence: Go beyond Artificial Intelligence”. Mobile Netw Appl., 23 (2), 368-375.
  • Marjerison, R. K., Y. Zhang and H. Zheng (2022). “AI in E-Commerce: Application of the Use and Gratification Model to The Acceptance of Chatbots”. Sustainability, 14 (21), 1-16.
  • Mu, W. and H. Ding (2022). “C2C Model E-Commerce Credit Evaluation Model Based on Artificial Intelligence”. Mobile Information Systems, 12, 1-10.
  • Pradeep, A. K., A. Appel and S. Sthanunathan (2019). AI For Marketing and Product Innovation: Powerful New Tools for Predicting Trends, Connecting with Customers and Closing Sales. Hoboken, New Jersey: John Wiley and Sons.
  • Rashidin, S., D. Gang, S. Javed and M. Hasan (2022). “The Role of Artificial Intelligence in Sustaining the E-Commerce Ecosystem: Alibaba vs. Tencent”. Journal of Global Information Management, 30 (8), 1-25.
  • Shahid, M. Z. and G. Li (2019). “Impact of Artificial Intelligence in Marketing: A Perspective of Marketing Professionals of Pakistan”. Global Journal of Management and Business Research, 19 (2), 27-33.
  • Song, X., S. Yang, Z. Huang and T. Huang (2019). “The Application of Artificial Intelligence in Electronic Commerce”. J. Phys.: Conf. Ser, 1302 (3), 1-6.
  • Van Eck, N.J. and Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84 (2), 523–538.
  • Vanneschi, L., D. M. Horn, M. Castelli and A. Popovič (2018). “An Artificial Intelligence System for Predicting Customer Default in E-Commerce”. Expert Systems with Applications, 104, 1-21.
  • Vărzaru, A. A. and C. G. Bocean (2021). “A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers”. JTAER, 16 (6), 2304-2318.
  • Zavyalova, E. B., V. A. Volokhina, M. A. Troyanskaya and Y. I. Dubova (2023). “A Humanistic Model of Corporate Social Responsibility in E-Commerce with High-Tech Support in The Artificial Intelligence Economy”. Humanit Soc Sci Commun, 10 (1), 1-10.
  • Zhang, D., L. G. Pee and L. Cui (2021). “Artificial Intelligence in E-Commerce Fulfillment: A Case Study of Resource Orchestration at Alibaba’s Smart Warehouse”. International Journal of Information Management, 57 (102304), 1-15.
  • Zhou, C., H. Li, L. Zhang and Y. Ren (2023). “Optimal Recommendation Strategies for AI-Powered E-Commerce Platforms: A Study of Duopoly Manufacturers and Market Competition”. JTAER, 18 (2), 1086-1106.

E-TİCARETTE YAPAY ZEKA KULLANIMINA İLİŞKİN SİSTEMATİK BİR İNCELEME

Yıl 2023, Cilt: 4 Sayı: Özel, 184 - 197, 29.10.2023
https://doi.org/10.58702/teyd.1357551

Öz

Son yıllarda her alanda yaşanan teknolojik yenilikler işletmeleri ve sektörleri doğrudan etkilemektedir. Bu yenilikler arasında son dönemde en çok ilgi gören teknolojilerden biri de yapay zekadır. Bu yönüyle geniş perspektiften incelenmesi gereken ve birçok disiplini ilgilendiren bir araştırma konusudur. Yapay zeka birçok sektörde olduğu gibi elektronik ticaret sektöründe de çok hızlı ve radikal bir dönüşüm sürecini başlatmıştır. E-ticaret sektöründeki işletmelerin verimliliği ve üretkenliği artırmak için yapay zeka teknolojilerinden büyük ölçüde faydalandığı görülmektedir. Yapay zeka, e-ticaret şirketlerine önemli bir maliyet, verimlilik ve hız avantajı sağladığından, küresel rekabetçi pazarda başarılı olmak isteyen e-ticaret şirketlerinin yapay zeka teknolojilerini süreçlerine entegre etmeleri son derece önemlidir. Bu makale, e-ticarette yapay zeka teknolojisinin kullanımına yönelik araştırma eğilimlerini analiz etmektedir. Amaç bu teknolojinin e-ticaret sektörünü nasıl etkilediğini tespit etmektir. Araştırma kapsamında ortak yazarlık, ortak alıntı ve anahtar kelime analizi kapsamında sistematik tarama, betimsel ağ analizi ve bibliyometrik analiz yöntemleri kullanılmıştır. Araştırmanın sonucu, yapay zeka teknolojilerinin e-ticarette kullanımının akademik çalışmalarda giderek artan bir trend olduğunu ortaya koymaktadır. Makale bu alanda teorik ve uygulamalı araştırmaların farklılaştırılması, konunun güncel tutulması ve bu alanda çalışacak araştırmacılara yol göstermesi açısından önemlidir.

Kaynakça

  • Barrios, M., A. Borrego, A. Vilaginés, C. Ollé and M. Somoza (2008). “A Bibliometric Study of Psychological Research on Tourism”. Scientometrics, 77 (3), 453-467.
  • Chaffey, D. and F. E. Chadwick (2019). Digital Marketing. (Seventh Edition). Harlow, England, New York: Pearson. Diodato, V. P. (1994). Dictionary of Bibliometrics. New York: Haworth Press.
  • Dwivedi, Y. K., L. Hughes, E. Ismagilova, et all. (2019). “Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy”. International Journal of Information Management, 57 (101994), 1-47.
  • King, K. (2019). Using Artificial Intelligence in Marketing: How to Harness AI and Maintain the Competitive Edge. (1st Edition). New York: Kogan Page Ltd.
  • Li, S. (2020). “Structure Optimization of e-Commerce Platform Based on Artificial Intelligence and Blockchain Technology”. Wireless Communications and Mobile Computing, 12, 1-8.
  • Lu, H., Y. Li, M. Chen, H. Kim and S. Serikawa (2018). “Brain Intelligence: Go beyond Artificial Intelligence”. Mobile Netw Appl., 23 (2), 368-375.
  • Marjerison, R. K., Y. Zhang and H. Zheng (2022). “AI in E-Commerce: Application of the Use and Gratification Model to The Acceptance of Chatbots”. Sustainability, 14 (21), 1-16.
  • Mu, W. and H. Ding (2022). “C2C Model E-Commerce Credit Evaluation Model Based on Artificial Intelligence”. Mobile Information Systems, 12, 1-10.
  • Pradeep, A. K., A. Appel and S. Sthanunathan (2019). AI For Marketing and Product Innovation: Powerful New Tools for Predicting Trends, Connecting with Customers and Closing Sales. Hoboken, New Jersey: John Wiley and Sons.
  • Rashidin, S., D. Gang, S. Javed and M. Hasan (2022). “The Role of Artificial Intelligence in Sustaining the E-Commerce Ecosystem: Alibaba vs. Tencent”. Journal of Global Information Management, 30 (8), 1-25.
  • Shahid, M. Z. and G. Li (2019). “Impact of Artificial Intelligence in Marketing: A Perspective of Marketing Professionals of Pakistan”. Global Journal of Management and Business Research, 19 (2), 27-33.
  • Song, X., S. Yang, Z. Huang and T. Huang (2019). “The Application of Artificial Intelligence in Electronic Commerce”. J. Phys.: Conf. Ser, 1302 (3), 1-6.
  • Van Eck, N.J. and Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84 (2), 523–538.
  • Vanneschi, L., D. M. Horn, M. Castelli and A. Popovič (2018). “An Artificial Intelligence System for Predicting Customer Default in E-Commerce”. Expert Systems with Applications, 104, 1-21.
  • Vărzaru, A. A. and C. G. Bocean (2021). “A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers”. JTAER, 16 (6), 2304-2318.
  • Zavyalova, E. B., V. A. Volokhina, M. A. Troyanskaya and Y. I. Dubova (2023). “A Humanistic Model of Corporate Social Responsibility in E-Commerce with High-Tech Support in The Artificial Intelligence Economy”. Humanit Soc Sci Commun, 10 (1), 1-10.
  • Zhang, D., L. G. Pee and L. Cui (2021). “Artificial Intelligence in E-Commerce Fulfillment: A Case Study of Resource Orchestration at Alibaba’s Smart Warehouse”. International Journal of Information Management, 57 (102304), 1-15.
  • Zhou, C., H. Li, L. Zhang and Y. Ren (2023). “Optimal Recommendation Strategies for AI-Powered E-Commerce Platforms: A Study of Duopoly Manufacturers and Market Competition”. JTAER, 18 (2), 1086-1106.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İşletme
Bölüm Araştırma Makalesi
Yazarlar

Uğur Erdoğan 0000-0001-8906-2977

Erken Görünüm Tarihi 24 Ekim 2023
Yayımlanma Tarihi 29 Ekim 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 4 Sayı: Özel

Kaynak Göster

APA Erdoğan, U. (2023). A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE. Toplum Ekonomi Ve Yönetim Dergisi, 4(Özel), 184-197. https://doi.org/10.58702/teyd.1357551
AMA Erdoğan U. A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE. TEYD. Ekim 2023;4(Özel):184-197. doi:10.58702/teyd.1357551
Chicago Erdoğan, Uğur. “A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE”. Toplum Ekonomi Ve Yönetim Dergisi 4, sy. Özel (Ekim 2023): 184-97. https://doi.org/10.58702/teyd.1357551.
EndNote Erdoğan U (01 Ekim 2023) A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE. Toplum Ekonomi ve Yönetim Dergisi 4 Özel 184–197.
IEEE U. Erdoğan, “A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE”, TEYD, c. 4, sy. Özel, ss. 184–197, 2023, doi: 10.58702/teyd.1357551.
ISNAD Erdoğan, Uğur. “A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE”. Toplum Ekonomi ve Yönetim Dergisi 4/Özel (Ekim 2023), 184-197. https://doi.org/10.58702/teyd.1357551.
JAMA Erdoğan U. A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE. TEYD. 2023;4:184–197.
MLA Erdoğan, Uğur. “A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE”. Toplum Ekonomi Ve Yönetim Dergisi, c. 4, sy. Özel, 2023, ss. 184-97, doi:10.58702/teyd.1357551.
Vancouver Erdoğan U. A SYSTEMATIC REVIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN E-COMMERCE. TEYD. 2023;4(Özel):184-97.