BIBLIOMETRIC ANALYSIS OF THE CONCEPT OF ARTIFICIAL INTELLIGENCE IN MARKETING

S. Süreyya Bengül

Makale detayları

BIBLIOMETRIC ANALYSIS OF THE CONCEPT OF ARTIFICIAL INTELLIGENCE IN MARKETING

Yazarlar:

S. Süreyya Bengül

Yayıncı:

Kütahya Dumlupinar University

Ana Başlıklar:

Pazarlama Teknolojisi

Dergi:

Dumlupınar Üniversitesi İİBF Dergisi Issue 14, pp.188-200

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001336897

pISSN:

2791-9579

Anahtar kelimeler:

Özet:

 In this study, the aim is to examine the development of published research on the concept of artificial intelligence AI in marketing and to map its progression. To achieve this, a systematic summary of the current state of AI technologyrecognized as one of the most significant inventions of the 21st centuryin the marketing literature was conducted using bibliometric analysis within the scope of quantitative data. The Web of Science database was selected as the unit of analysis, utilizing bibliometric data from studies published between 1987 and 2024. Findings indicate that research on AI and marketing peaked in the years 2019 and 2023, with Yoges K. Dwivedi identified as the most prolific author. The predominant publication types were journal articles 1,437 and conference proceedings 1,032. In terms of geographical distribution, the majority of publications originated from the United States 483, with English being the dominant language 2,481 publications. Furthermore, most publications were indexed in the Conference Proceedings Citation Index  Science CPCI-S 973 and the Social Sciences Citation Index SSCI 768.

 In this study, the aim is to examine the development of published research on the concept of artificial intelligence AI in marketing and to map its progression. To achieve this, a systematic summary of the current state of AI technologyrecognized as one of the most significant inventions of the 21st centuryin the marketing literature was conducted using bibliometric analysis within the scope of quantitative data. The Web of Science database was selected as the unit of analysis, utilizing bibliometric data from studies published between 1987 and 2024. Findings indicate that research on AI and marketing peaked in the years 2019 and 2023, with Yoges K. Dwivedi identified as the most prolific author. The predominant publication types were journal articles 1,437 and conference proceedings 1,032. In terms of geographical distribution, the majority of publications originated from the United States 483, with English being the dominant language 2,481 publications. Furthermore, most publications were indexed in the Conference Proceedings Citation Index  Science CPCI-S 973 and the Social Sciences Citation Index SSCI 768.

 In this study, the aim is to examine the development of published research on the concept of artificial intelligence AI in marketing and to map its progression. To achieve this, a systematic summary of the current state of AI technologyrecognized as one of the most significant inventions of the 21st centuryin the marketing literature was conducted using bibliometric analysis within the scope of quantitative data. The Web of Science database was selected as the unit of analysis, utilizing bibliometric data from studies published between 1987 and 2024. Findings indicate that research on AI and marketing peaked in the years 2019 and 2023, with Yoges K. Dwivedi identified as the most prolific author. The predominant publication types were journal articles 1,437 and conference proceedings 1,032. In terms of geographical distribution, the majority of publications originated from the United States 483, with English being the dominant language 2,481 publications. Furthermore, most publications were indexed in the Conference Proceedings Citation Index  Science CPCI-S 973 and the Social Sciences Citation Index SSCI 768.

 Bu çalışmada, pazarlamada yapay zekâ kavramı üzerine yayımlanmış olan çalışmaların gelişiminin incelenmesi ve haritasının çıkarılması amaçlanmıştır. Bu amaçla, nicel veriler kapsamında, 21 yüzyılın en önemli icatlarından biri olan yapay zekâ teknolojisinin pazarlama alan yazınındaki mevcut durumunun bibliyometrik analiz kullanılarak sistemli bir özeti çıkartılmıştır. Web of Science veri tabanı analiz birimi olarak seçilmiş ve 1987-2024 seneleri arasında yayınlanmış çalışmaların bibliyometrik verisi kullanılmıştır. Yapay zekâ ve pazarlama ile ilgili 2514 çalışmanın 2019 ve 2023 yıllarında yoğunlaştığı; en fazla eser veren isimlerin Yoges K. Dwivedi olduğu; yayın türünün ağırlıklı olarak dergi makalesi 1437 ve bildiri kitabı 1032 türünde olduğu; yayınların ülkelere göre dağılımı konusunda liderliğin ABD 483 menşeli yayıncılarda olduğu; en çok İngilizce 2481 dilinde eserler yayınlandığı ve Conference Proceedings Citation Index  Science CPCI-S 973, SSCI 768 endekslerde taranan yayınların ağırlıkta olduğu tespit edilmiştir.

Makale detayları

BIBLIOMETRIC ANALYSIS OF THE CONCEPT OF ARTIFICIAL INTELLIGENCE IN MARKETING

Yazarlar:

S. Süreyya Bengül

Yayıncı:

Kütahya Dumlupinar University

Ana Başlıklar:

Pazarlama Teknolojisi

Dergi:

Dumlupınar Üniversitesi İİBF Dergisi Issue 14, pp.188-200

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001336897

pISSN:

2791-9579

Artificial intelligence

marketing

artificial intelligence in marketing

bibliometric analysisYapay zekâ

pazarlama

pazarlamada yapay zekâ

bibliyometrik analiz

Sayı

Makale detayları

Yazarlar: S. Süreyya Bengül

Yayıncı: Kütahya Dumlupinar University

Ana Başlıklar: Pazarlama Teknolojisi

Dergi: Dumlupınar Üniversitesi İİBF Dergisi Issue 14, pp.188-200

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001336897

pISSN: 2791-9579

Sayı

Yazarlar:

S. Süreyya Bengül

Yayıncı:

Kütahya Dumlupinar University

Ana Başlıklar:

Pazarlama Teknolojisi

Dergi:

Dumlupınar Üniversitesi İİBF Dergisi Issue 14, pp.188-200

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001336897

pISSN:

2791-9579