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BIBLIOMETRIC ANALYSIS ON ARTIFICIAL INTELLIGENCE AND E-COMMERCE WITH VOSVIEWER

Yıl 2024, Cilt: 4 Sayı: 2, 25 - 48, 31.12.2024

Öz

In recent years, the rapid development of Artificial Intelligence (AI) and e-commerce technologies has brought significant changes to business practices and consumer behavior. This study provides a bibliometric analysis of research on "Artificial Intelligence and E-commerce," offering a comprehensive overview of the field. The analysis includes co-author and author citation analysis, document and country citation analysis, institution citation analysis, and keyword analysis. The study focuses on areas like Business, Management, Economics, and Business Finance within the Web of Science database. As of May 18, 2024, 216 publications from 2002 to 2024 were analyzed. Of these, 33.79% originated from China, 18.27% from the USA, 11.42% from India, 5.94% from the UK, and 5.48% from Germany. The prominence of publications from these countries is linked to China’s economic growth, the USA’s technological infrastructure, and India’s role in software and IT, while the UK and Germany stand out due to their investments in technology and competitive economies.
This study shows that publications on "Artificial Intelligence and E-commerce" are still limited, mainly due to the field’s emerging nature. While e-commerce has expanded with the internet, AI applications in this domain are relatively new. This research systematically summarizes existing literature and highlights key trends. The article offers a thorough analysis, contributing valuable insights for future research.

Kaynakça

  • Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427-445.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
  • Bandara, R., Fernando, M., & Akter, S. (2020). Privacy concerns in E-commerce: A taxonomy and a future research agenda. Electronic Markets, 30(3), 629-647.
  • Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electronic Markets, 32(1), 297-338.
  • Baczkiewicz, A., Kizielewicz, B., Shekhovtsov, A., Watrobski, J., & Salabun, W. (2021). Methodical aspects of MCDM based E-commerce recommender system. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2192-2229.
  • Brill, T. M., Munoz, L., & Miller, R. J. (2022). Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. In The Role of Smart Technologies in Decision Making. Routledge.
  • Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191-235.
  • Chae, B., & Goh, G. (2020). Digital entrepreneurs in artificial intelligence and data analytics: Who are they?. Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 56.
  • Chaffey, D., & Smith, P. R. (2013). eMarketing eXcellence: Planning and Optimizing Your Digital Marketing. Routledge.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
  • Han, R., Lam, H. K., Zhan, Y., Wang, Y., Dwivedi, Y. K., & Tan, K. H. (2021). Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions. Industrial Management & Data Systems, 121(12), 2467-2497.
  • Ho, Y. S., & Wang, M. H. (2020). A bibliometric analysis of artificial intelligence publications from 1991 to 2018. COLLNET Journal of Scientometrics and Information Management, 14(2), 369-392.
  • Hou, Q., Mao, G., Zhao, L., Du, H., & Zuo, J. (2015). Mapping the scientific research on life cycle assessment: a bibliometric analysis. The International Journal of Life Cycle Assessment, 20, 541-555.
  • Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the customer experience through new technologies. Journal of Interactive Marketing, 51(1), 57-71.
  • Kaptein, M., & Parvinen, P. (2015). Advancing e-commerce personalization: Process framework and case study. International Journal of Electronic Commerce, 19(3), 7-33.
  • Lee, I. S., Lee, H., Chen, Y. H., & Chae, Y. (2020). Bibliometric analysis of research assessing the use of acupuncture for pain treatment over the past 20 years. Journal of Pain Research, 367-376.
  • Li, N., & Yu, Y. (2022). Design and Application of Improved Ant Colony Algorithm in E‐Commerce System. Wireless Communications and Mobile Computing, 2022(1), 9467095.
  • Modgil, S., Singh, R. K., & Hannibal, C. (2022). Artificial intelligence for supply chain resilience: learning from Covid-19. The International Journal of Logistics Management, 33(4), 1246-1268.
  • Moriuchi, E. (2019). Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty. Psychology & Marketing, 36(5), 489-501.
  • Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021). How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents. Electronic Markets, 31(2), 343-364.
  • Pantano, E., Pizzi, G., Scarpi, D., & Dennis, C. (2020). Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak. Journal of Business Research, 116, 209-213.
  • Park, S., & Lee, K. (2021). Examining the impact of e-commerce growth on the spatial distribution of fashion and beauty stores in Seoul. Sustainability, 13(9), 5185.
  • Pizzi, G., Scarpi, D., & Pantano, E. (2021). Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot?. Journal of Business Research, 129, 878-890.
  • Steinhoff, L., Arli, D., Weaven, S., & Kozlenkova, I. V. (2019). Online relationship marketing. Journal of the Academy of Marketing Science, 47, 369-393.
  • Song, M., Xing, X., Duan, Y., Cohen, J., & Mou, J. (2022). Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention. Journal of Retailing and Consumer Services, 66, 102900.
  • Thiebes, S., Lins, S., & Sunyaev, A. (2021). Trustworthy artificial intelligence. Electronic Markets, 31, 447-464.
  • Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349.

Yapay Zeka ve E-ticaret Üzerine VOSviewer ile Bibliyometrik İncelemeler

Yıl 2024, Cilt: 4 Sayı: 2, 25 - 48, 31.12.2024

Öz

Son yıllarda, Yapay Zekâ (YZ) ve e-ticaret teknolojilerinin hızlı gelişimi, iş uygulamaları ve tüketici davranışlarında önemli değişimlere yol açmıştır. Bu çalışma, "Yapay Zekâ ve E-ticaret" konusundaki araştırmaların bibliyometrik bir analizini sunarak, alana kapsamlı bir bakış açısı kazandırmayı amaçlamaktadır. Analiz kapsamında ortak yazar ve yazar atıf analizleri, belge ve ülke atıf analizleri, kurum atıf analizleri ve anahtar kelime analizleri yer almaktadır. Çalışma, Web of Science veri tabanındaki İşletme, Yönetim, Ekonomi ve İşletme Finansı gibi alanlara odaklanmaktadır. 18 Mayıs 2024 itibarıyla, 2002-2024 yılları arasında yayımlanmış toplam 216 yayın incelenmiştir. Bu yayınların %33,79'u Çin, %18,27'si ABD, %11,42'si Hindistan, %5,94'ü Birleşik Krallık ve %5,48'i Almanya kaynaklıdır. Bu ülkelerden gelen yayınların ön planda olması, Çin’in ekonomik büyümesine, ABD’nin teknolojik altyapısına ve Hindistan’ın yazılım ve bilişim teknolojilerindeki liderliğine bağlanmaktadır. Benzer şekilde, Birleşik Krallık ve Almanya, teknolojiye yaptıkları yatırımlar ve rekabetçi ekonomik yapılarıyla öne çıkmaktadır.

Bu çalışma, "Yapay Zekâ ve E-ticaret" alanındaki yayınların henüz sınırlı olduğunu, bunun da büyük ölçüde alanın yeni bir araştırma konusu olmasından kaynaklandığını göstermektedir. İnternetin yayılmasıyla birlikte e-ticaret hızla genişlemiş olmasına rağmen, bu alanda YZ uygulamaları görece yenidir. Araştırma, mevcut literatürü sistematik bir şekilde özetleyerek temel eğilimleri ortaya koymaktadır. Bu makale, konuya dair kapsamlı bir analiz sunmakta ve gelecekteki araştırmalara rehberlik edecek önemli bulgular sağlamaktadır.

Kaynakça

  • Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427-445.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.
  • Bandara, R., Fernando, M., & Akter, S. (2020). Privacy concerns in E-commerce: A taxonomy and a future research agenda. Electronic Markets, 30(3), 629-647.
  • Bawack, R. E., Wamba, S. F., Carillo, K. D. A., & Akter, S. (2022). Artificial intelligence in E-Commerce: a bibliometric study and literature review. Electronic Markets, 32(1), 297-338.
  • Baczkiewicz, A., Kizielewicz, B., Shekhovtsov, A., Watrobski, J., & Salabun, W. (2021). Methodical aspects of MCDM based E-commerce recommender system. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2192-2229.
  • Brill, T. M., Munoz, L., & Miller, R. J. (2022). Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. In The Role of Smart Technologies in Decision Making. Routledge.
  • Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191-235.
  • Chae, B., & Goh, G. (2020). Digital entrepreneurs in artificial intelligence and data analytics: Who are they?. Journal of Open Innovation: Technology, Market, and Complexity, 6(3), 56.
  • Chaffey, D., & Smith, P. R. (2013). eMarketing eXcellence: Planning and Optimizing Your Digital Marketing. Routledge.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
  • Han, R., Lam, H. K., Zhan, Y., Wang, Y., Dwivedi, Y. K., & Tan, K. H. (2021). Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions. Industrial Management & Data Systems, 121(12), 2467-2497.
  • Ho, Y. S., & Wang, M. H. (2020). A bibliometric analysis of artificial intelligence publications from 1991 to 2018. COLLNET Journal of Scientometrics and Information Management, 14(2), 369-392.
  • Hou, Q., Mao, G., Zhao, L., Du, H., & Zuo, J. (2015). Mapping the scientific research on life cycle assessment: a bibliometric analysis. The International Journal of Life Cycle Assessment, 20, 541-555.
  • Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., & Shankar, V. (2020). Transforming the customer experience through new technologies. Journal of Interactive Marketing, 51(1), 57-71.
  • Kaptein, M., & Parvinen, P. (2015). Advancing e-commerce personalization: Process framework and case study. International Journal of Electronic Commerce, 19(3), 7-33.
  • Lee, I. S., Lee, H., Chen, Y. H., & Chae, Y. (2020). Bibliometric analysis of research assessing the use of acupuncture for pain treatment over the past 20 years. Journal of Pain Research, 367-376.
  • Li, N., & Yu, Y. (2022). Design and Application of Improved Ant Colony Algorithm in E‐Commerce System. Wireless Communications and Mobile Computing, 2022(1), 9467095.
  • Modgil, S., Singh, R. K., & Hannibal, C. (2022). Artificial intelligence for supply chain resilience: learning from Covid-19. The International Journal of Logistics Management, 33(4), 1246-1268.
  • Moriuchi, E. (2019). Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty. Psychology & Marketing, 36(5), 489-501.
  • Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021). How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents. Electronic Markets, 31(2), 343-364.
  • Pantano, E., Pizzi, G., Scarpi, D., & Dennis, C. (2020). Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak. Journal of Business Research, 116, 209-213.
  • Park, S., & Lee, K. (2021). Examining the impact of e-commerce growth on the spatial distribution of fashion and beauty stores in Seoul. Sustainability, 13(9), 5185.
  • Pizzi, G., Scarpi, D., & Pantano, E. (2021). Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot?. Journal of Business Research, 129, 878-890.
  • Steinhoff, L., Arli, D., Weaven, S., & Kozlenkova, I. V. (2019). Online relationship marketing. Journal of the Academy of Marketing Science, 47, 369-393.
  • Song, M., Xing, X., Duan, Y., Cohen, J., & Mou, J. (2022). Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention. Journal of Retailing and Consumer Services, 66, 102900.
  • Thiebes, S., Lins, S., & Sunyaev, A. (2021). Trustworthy artificial intelligence. Electronic Markets, 31, 447-464.
  • Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Finans
Bölüm Araştırma Makaleleri
Yazarlar

Havva Koç 0000-0002-0906-1438

Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 26 Eylül 2024
Kabul Tarihi 29 Kasım 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 4 Sayı: 2

Kaynak Göster

APA Koç, H. (2024). BIBLIOMETRIC ANALYSIS ON ARTIFICIAL INTELLIGENCE AND E-COMMERCE WITH VOSVIEWER. Uluslararası İşletme Bilimi Ve Uygulamaları Dergisi, 4(2), 25-48.