Araştırma Makalesi
BibTex RIS Kaynak Göster

Pazarlamada Yapay Zekâ Üzerine Yapılan Çalışmaların İçerik Analizi

Yıl 2024, Cilt: 2 Sayı: 1, 1 - 11, 12.06.2024

Öz

Yapay Zekâ (YZ) en basit ifade ile makineler tarafından sergilenen zekâ olarak tanımlanabilir. Son yıllarda pazarlama alanında YZ uygulamaları çokça yaygınlaşmıştır. YZ sayesinde işletmelerde maliyetler azalmakta ve kâr oranları artmaktadır. YZ’nın gelecekte pazarlama stratejileri, satış süreçleri ve müşteri davranışlarını değiştireceği belirtilmiştir. Bu sebeple, YZ ile ilgili literatürdeki değişim ve gelişmelerin gözlenmesi bilimsel açıdan önem taşımaktadır. Bunun için en iyi yöntem içerik analizi yapılmasıdır. Bu çalışmada pazarlama alanında yapay zeka ile ilgili literatür taraması bibliyometrik analiz tekniğiyle içerik analiz edilerek yapılmıştır. Web of Science’da indekslenen (SSCI, SCI-Expanded ve ESCI) ve İngilizce dilinde yayımlanan makaleler içerik analizine dâhil edilmiştir. Çalışma, 1991-2023 yıllarını kapsamaktadır. Toplamda 1371 dergide 3188 makale değerlendirilmiştir. Bu alanda en fazla yayın yapan ülkelerin Çin, ABD ve Hindistan olduğu görülmüştür. Makalelerin en çok işletme, elektrik-elektronik mühendisliği ile bilgisayar bilimi ve bilgi sistemleri alanlarındaki dergilerde yayımlandığı belirlenmiştir. Makale başlıklarında en sık geçen kelimeler ise pazar, pazarlama, yapay zekâ, analiz ve tahmin kelimeleridir. 1990’lı yıllar ve 2000’lerin başında epey düşük olan yayın sayıları 2016 yılından itibaren bir hâyli artmaya başlamıştır. Bu içerik analizinin, pazarlama alanında yapay zekâ ile ilgili yapılacak gelecekteki araştırmalara ışık tutması ve bu alanda çalışacak pazarlama araştırmacılarına yol göstermesi hedeflenmiştir.

Kaynakça

  • 1. Makaleler
  • Akter, Shahriar vd. “Advancing Algorithmic Bias Management Capabilities in AI-Driven Marketing Analytics Research.” Industrial Marketing Management, 114 (October 2023), 243–261.
  • Akter, Shahriar vd. “Algorithmic Bias in Machine Learning-Based Marketing Models.” Journal of Business Research, 144 (May 2022), 201–216.
  • Arsenijevic, Uros - Jovic, Marija. “Artificial Intelligence Marketing: Chatbots.” International Conference on Artificial Intelligence: Applications and Innovations. 19–22, 2019.
  • Aydın, S. - Nalbant, K.G. “The Significance of Artificial Intelligence in the Realms of Marketing, Advertising, and Branding inside the Metaverse.” Journal of Emerging Economies and Policy, 8/2 (2023), 301–316.
  • Binbir, S. “Pazarlama Çalışmalarında Yapay Zeka Kullanımı Üzerine Betimleyici Bir Çalışma.” Yeni Medya Elektronik Dergisi, 5/3 (2021), 314–328.
  • Chintalapati, Srikrishna - Pandey, Shivendra Kumar. “Artificial Intelligence in Marketing: A Systematic Literature Review.” International Journal of Market Research, 64/1 (2022), 38–68.
  • Davenport, Thomas vd. “How Artificial Intelligence Will Change the Future of Marketing.” Journal of the Academy of Marketing Science, 48/1 (January 10, 2020), 24–42.
  • Devang, Vinchhi vd. “Applications of Artificial Intelligence in Marketing.” Annals of Dunarea de Jos University of Galati. Fascicle I. Economics and Applied Informatics, 25/1 (April 30, 2019), 28–36.
  • Dwivedi, Yogesh K vd. “International Journal of Information Management Setting the Future of Digital and Social Media Marketing Research: Perspectives and Research Propositions.” International Journal of Information Management, 59 (2021), 102168.
  • Feng, Cai Mitsu vd. “Artificial Intelligence in Marketing: A Bibliographic Perspective.” Australasian Marketing Journal, 29/3 (2021), 252–263.
  • Gupta, Shaphali vd. “Digital Analytics: Modeling for Insights and New Methods.” Journal of Interactive Marketing, 51 (August 2020), 26–43.
  • Gür, Y.E. “Yapay Zekâ ve Pazarlama İli̇şki̇si̇.” Fırat Üniversitesi İİBF Uluslararası İktisadi ve İdari Bilimler Dergisi, 2 (2022), 131–148.
  • Han, Runyue vd. “Artificial Intelligence in Business-To-Business Marketing: A Bibliometric Analysis of Current Research Status, Development and Future Directions.” Industrial Management & Data Systems, 121/12 (November 10, 2021), 2467–2497.
  • Huang, Ming Hui - Rust, Roland T. “A Framework for Collaborative Artificial Intelligence in Marketing.” Journal of Retailing, 98/2 (2022), 209–223.
  • Huang, Ming Hui - Rust, Roland T. “A Strategic Framework for Artificial Intelligence in Marketing.” Journal of the Academy of Marketing Science, 49/1 (2021), 30–50.
  • Jain, P. - Aggarwal, K. “Transforming Digital Marketing with Artificial Intelligence.” International Research Journal of Engineering and Technology (IRJET), 7/7 (2020), 3964–3976.
  • Jiang, Ping vd. “Multivariable Short-Term Electricity Price Forecasting Using Artificial Intelligence and Multi-Input Multi-Output Scheme.” Energy Economics, 117 (January 2023), 106471.
  • Kurtuldu, Günay - Begüm, D. “Güncel Pazarlama Konularının Içerik Analizi.” Paradigma: İktisadi ve İdari Araştırmalar Dergisi, 11/2 (2022), 40–55.
  • Li, Jingrui vd. “Analysis and Forecasting of the Oil Consumption in China Based on Combination Models Optimized by Artificial Intelligence Algorithms.” Energy, 144 (February 2018), 243–264.
  • Niu, Xinsong vd. “Carbon Price Forecasting System Based on Error Correction and Divide-Conquer Strategies.” Applied Soft Computing, 118 (March 2022), 107935.
  • Şalvarlı, M.S. - Kayışkan, D. “Pazarlama Alanında Yapay Zekanın Gelişen Rolüne Genel Bir Bakış.” İzmir Yönetim Dergisi, 2/2 (2021), 106–115.
  • Schiessl, Djonata vd. “Artificial Intelligence in Marketing: A Network Analysis and Future Agenda.” Journal of Marketing Analytics, 10/3 (2022), 207–218.
  • Singh, Chetanya vd. “Artificial Intelligence in Customer Retention: A Bibliometric Analysis and Future Research Framework.” Kybernetes.
  • Syam, Niladri - Sharma, Arun. “Waiting for a Sales Renaissance in the Fourth Industrial Revolution: Machine Learning and Artificial Intelligence in Sales Research and Practice.” Industrial Marketing Management, 69 (February 2018), 135–146.
  • Verma, Sanjeev vd. “Artificial Intelligence in Marketing: Systematic Review and Future Research Direction.” International Journal of Information Management Data Insights, 1/1 (April 2021),
  • Vlačić, Božidar vd. “The Evolving Role of Artificial Intelligence in Marketing: A Review and Research Agenda.” Journal of Business Research, 128 January 2021 (May 2021), 187–203.
  • Yau, Kok-Lim Alvin vd. “Artificial Intelligence Marketing (AIM) for Enhancing Customer Relationships.” Applied Sciences, 11/18 (September 15, 2021).

CONTENT ANALYSIS OF STUDIES ON ARTIFICIAL INTELLIGENCE IN MARKETING

Yıl 2024, Cilt: 2 Sayı: 1, 1 - 11, 12.06.2024

Öz

Artificial Intelligence (AI) can simply be defined as the intelligence exhibited by machines. In recent years, AI applications in the field of marketing have become quite widespread. Costs are decreasing and profit rates are increasing in businesses with the aid of AI. It has been stated that AI will change marketing strategies, sales processes, and customer behavior in the future. For this reason, observing the changes and developments in the literature on AI is scientifically important. The best method for this is content analysis. In this study, a literature review on artificial intelligence in the field of marketing was conducted by analyzing the content using the bibliometric analysis technique. Articles indexed in Web of Science (SSCI, SCI-Expanded, and ESCI) and published in English were included in the content analysis. The study covers the years 1991-2023. In total, 3188 articles in 1371 journals were evaluated. The countries that publish the most in this field are China the USA, and India. It was determined that the articles were mostly published in journals in the fields of business administration, electrical and electronics engineering, and computer science and information systems. The most frequently used words in article titles are market, marketing, AI, analysis, and forecasting. The number of publications, which was quite low in the 1990s and early 2000s, has started to increase significantly since 2016. This content analysis aims to shed light on future research on artificial intelligence in the field of marketing and to guide marketing researchers who will study in this field.

Kaynakça

  • 1. Makaleler
  • Akter, Shahriar vd. “Advancing Algorithmic Bias Management Capabilities in AI-Driven Marketing Analytics Research.” Industrial Marketing Management, 114 (October 2023), 243–261.
  • Akter, Shahriar vd. “Algorithmic Bias in Machine Learning-Based Marketing Models.” Journal of Business Research, 144 (May 2022), 201–216.
  • Arsenijevic, Uros - Jovic, Marija. “Artificial Intelligence Marketing: Chatbots.” International Conference on Artificial Intelligence: Applications and Innovations. 19–22, 2019.
  • Aydın, S. - Nalbant, K.G. “The Significance of Artificial Intelligence in the Realms of Marketing, Advertising, and Branding inside the Metaverse.” Journal of Emerging Economies and Policy, 8/2 (2023), 301–316.
  • Binbir, S. “Pazarlama Çalışmalarında Yapay Zeka Kullanımı Üzerine Betimleyici Bir Çalışma.” Yeni Medya Elektronik Dergisi, 5/3 (2021), 314–328.
  • Chintalapati, Srikrishna - Pandey, Shivendra Kumar. “Artificial Intelligence in Marketing: A Systematic Literature Review.” International Journal of Market Research, 64/1 (2022), 38–68.
  • Davenport, Thomas vd. “How Artificial Intelligence Will Change the Future of Marketing.” Journal of the Academy of Marketing Science, 48/1 (January 10, 2020), 24–42.
  • Devang, Vinchhi vd. “Applications of Artificial Intelligence in Marketing.” Annals of Dunarea de Jos University of Galati. Fascicle I. Economics and Applied Informatics, 25/1 (April 30, 2019), 28–36.
  • Dwivedi, Yogesh K vd. “International Journal of Information Management Setting the Future of Digital and Social Media Marketing Research: Perspectives and Research Propositions.” International Journal of Information Management, 59 (2021), 102168.
  • Feng, Cai Mitsu vd. “Artificial Intelligence in Marketing: A Bibliographic Perspective.” Australasian Marketing Journal, 29/3 (2021), 252–263.
  • Gupta, Shaphali vd. “Digital Analytics: Modeling for Insights and New Methods.” Journal of Interactive Marketing, 51 (August 2020), 26–43.
  • Gür, Y.E. “Yapay Zekâ ve Pazarlama İli̇şki̇si̇.” Fırat Üniversitesi İİBF Uluslararası İktisadi ve İdari Bilimler Dergisi, 2 (2022), 131–148.
  • Han, Runyue vd. “Artificial Intelligence in Business-To-Business Marketing: A Bibliometric Analysis of Current Research Status, Development and Future Directions.” Industrial Management & Data Systems, 121/12 (November 10, 2021), 2467–2497.
  • Huang, Ming Hui - Rust, Roland T. “A Framework for Collaborative Artificial Intelligence in Marketing.” Journal of Retailing, 98/2 (2022), 209–223.
  • Huang, Ming Hui - Rust, Roland T. “A Strategic Framework for Artificial Intelligence in Marketing.” Journal of the Academy of Marketing Science, 49/1 (2021), 30–50.
  • Jain, P. - Aggarwal, K. “Transforming Digital Marketing with Artificial Intelligence.” International Research Journal of Engineering and Technology (IRJET), 7/7 (2020), 3964–3976.
  • Jiang, Ping vd. “Multivariable Short-Term Electricity Price Forecasting Using Artificial Intelligence and Multi-Input Multi-Output Scheme.” Energy Economics, 117 (January 2023), 106471.
  • Kurtuldu, Günay - Begüm, D. “Güncel Pazarlama Konularının Içerik Analizi.” Paradigma: İktisadi ve İdari Araştırmalar Dergisi, 11/2 (2022), 40–55.
  • Li, Jingrui vd. “Analysis and Forecasting of the Oil Consumption in China Based on Combination Models Optimized by Artificial Intelligence Algorithms.” Energy, 144 (February 2018), 243–264.
  • Niu, Xinsong vd. “Carbon Price Forecasting System Based on Error Correction and Divide-Conquer Strategies.” Applied Soft Computing, 118 (March 2022), 107935.
  • Şalvarlı, M.S. - Kayışkan, D. “Pazarlama Alanında Yapay Zekanın Gelişen Rolüne Genel Bir Bakış.” İzmir Yönetim Dergisi, 2/2 (2021), 106–115.
  • Schiessl, Djonata vd. “Artificial Intelligence in Marketing: A Network Analysis and Future Agenda.” Journal of Marketing Analytics, 10/3 (2022), 207–218.
  • Singh, Chetanya vd. “Artificial Intelligence in Customer Retention: A Bibliometric Analysis and Future Research Framework.” Kybernetes.
  • Syam, Niladri - Sharma, Arun. “Waiting for a Sales Renaissance in the Fourth Industrial Revolution: Machine Learning and Artificial Intelligence in Sales Research and Practice.” Industrial Marketing Management, 69 (February 2018), 135–146.
  • Verma, Sanjeev vd. “Artificial Intelligence in Marketing: Systematic Review and Future Research Direction.” International Journal of Information Management Data Insights, 1/1 (April 2021),
  • Vlačić, Božidar vd. “The Evolving Role of Artificial Intelligence in Marketing: A Review and Research Agenda.” Journal of Business Research, 128 January 2021 (May 2021), 187–203.
  • Yau, Kok-Lim Alvin vd. “Artificial Intelligence Marketing (AIM) for Enhancing Customer Relationships.” Applied Sciences, 11/18 (September 15, 2021).
Toplam 28 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İnsan Kaynakları ve Endüstriyel İlişkiler (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

İlknur Zeydan 0000-0002-6095-5429

Erken Görünüm Tarihi 5 Haziran 2024
Yayımlanma Tarihi 12 Haziran 2024
Gönderilme Tarihi 4 Aralık 2023
Kabul Tarihi 21 Şubat 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 2 Sayı: 1

Kaynak Göster

ISNAD Zeydan, İlknur. “Pazarlamada Yapay Zekâ Üzerine Yapılan Çalışmaların İçerik Analizi”. Karaelmas Sosyal Bilimler Dergisi 2/1 (Haziran 2024), 1-11.

download