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Artificial Intelligence and Creative Thinking in the Context of Advertising Production Process: A Bibliometric Analysis

Yıl 2024, , 281 - 305, 28.12.2024
https://doi.org/10.21733/ibad.1555574

Öz

The main purpose of this study is to explore the relationship between artificial intelligence, which is considered a new revolution in the industry, and advertising, as well as creative thinking, with a focus on the academic dimension of this relationship. Using bibliometric analysis, the data obtained from the Web of Science database were analyzed with the WosViewer program. The study found a total of 15 articles on the topic published between 2014 and 2024, with the highest number of studies conducted in 2022. When analyzing the "network map" of publications in relation to countries, the most cited countries were Canada (97), USA (85), UK (81), and Australia (72). The journal with the most articles published and cited on the subject was the Journal of Advertising. The most frequently used keywords, in terms of occurrences and number of links, included artificial intelligence, advertising, machine learning, and advertising creativity. The research concluded that there is a limited number of studies on the subject, and it identified the relationships between the concepts, countries, and publication contexts. These findings highlight new research opportunities for both academics and industry professionals, underscoring the importance of examining artificial intelligence in various aspects of the creative production process.

Kaynakça

  • Argan, M., Dinç, H., Kaya, S., & Tokay Argan, M. (2023). Artificial intelligence (ai) in advertising: understanding and schematizing the behaviors of social media users. Advances in Distributed Computing and Artificial Intelligence Journal, 11(3), 331-348.
  • Atalay, M. & Çelik, E. (2017). Büyük veri analizinde yapay zeka ve makine öğrenmesi uygulamaları, Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(22), 155-172.
  • Aydın, İ. & Değirmenci, C. (2018). Yapay zekâ. Girdap Yayınları.
  • Bini, S. A. (2018). Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care? The Journal of Arthroplasty, 33(8), 2358-2361.
  • Broadus, R.N. (1987). Toward a definition of “bibliometrics”. Scientometrics, 12(5-6), 373-379.
  • Cautela C., Mortati M., Dell’Era C., & Gastaldi L. (2019). The impact of artificial ıntelligence on design thinking practic.: Insights from the Ecosystem of Startups, Strategic Design Research Journal, 12(1), 114–13.
  • Churcher, P. R. (1991). The impact of artificial intelligence in leisure. AI & Society, 5(2), 147-155.
  • Cobo, M. J., Lopez Herrera, A.G., Herrera- Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630.
  • Çeken, B. & Akgöz, B. (2023). The impact of artificial intelligence on design: the example of DALL-E. Sanat ve Tasarım Dergisi, 14(1), 374-397.
  • Dimitrieska, S., Stankovska, A. ve Efremova, T. (2018). Artificial intelligence and marketing. Entrepreneurship, 6(2), 298-304.
  • Fetzer, J. H. (1990). What is artificial intelligence? in artificial intelligence: its scope and limits. Springer, Dordrecht, 3-27.
  • Ford, M. (2015). The rise of the robots: technology and the threat of a jobless future. Basic books.
  • Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y. (2023). Artificial intelligence in advertising: advancements, challenges, and ethical considerations in targeting, personalization, content creation, and ad optimization. Sage Open, 1-20.
  • Hamet, P. & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69(1), 36-40.
  • Hoguet, B. (2019, 5 Temmuz). Storytelling ai: how artificial intelligence feeds creativity. https://cmf-fmc.ca/now-next/articles/storytelling-ai-how-artificial-intelligence-feeds-creativity.
  • Howard, J. (2019). Artificial intelligence: implications for the future of work. American Journal of Industrial Medicine, 62(11), 917-926.
  • IBM & NRF (2019, 1 Ağustos). The coming ai revolution in retail and consumer products:intelligent automation is transforming both industries in unexpected ways. https://www.ibm.com/downloads/cas/NDE0G4LA.
  • Irbite, A. & Strode, A. (2023). Artificial ıntelligence vs. desingners: impact of artificial intelligence on design practice. Society Integration Education of the International Scientific Conference, 4(1), 539-549.
  • Kaplan, A. & Haenlein, M. (2019). Siri, siri, in my hand: who’s the fairest in the land? on the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25.
  • Keleş, A., Keleş, A. & Akçetin, E. (2017). Pazarlama alanında yapay zekâ kullanım potansiyeli ve akıllı karar destek sistemleri. Electronic Turkish Studies, 12(11), 45-57.
  • Kızılkaya, Y. M. & Oğuzlar, A. (2018). Bazı denetimli öğrenme algoritmalarının r programlama dili ile kıyaslanması. Karadeniz Uluslar arası Bilimsel Dergi, 37(37), 90-98.
  • Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: how marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(1), 263-267.
  • King, K. (2019). Using artificial intelligence in marketing: how to harness ai and maintain the competitive edge. Kogan Pageç.
  • Kurzweil, R. (2019). İnsanlık 2.0. Alfa Basım Yayım Dağıtım.
  • Li, K. & Rollins, Li J. & Hale A. (2016). Output distributions and topic maps of safety related journals. Safety Science, 82(1), 236–244
  • McCarthy, J. & Hayes, P. J. (1981). Some philosophical problems from the standpoint of artificial intelligence. In Readings in Artificial Intelligence, 431-450.
  • McCorduck, P. (1982). Machines who think: a personal inquiry into the history and prospects of artificial intelligence. AK Peters/CRC Press: Boca Raton.
  • McCorduck, P. (2004). Machines who think. A. K. Peters, Ltd.
  • Moral-Munoz, J.A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to date review. EI Profesional de La Informacion, 29(1), 1-20.
  • Muritala, B. A., Sánchez-Rebull, M. V. & Hernández- Lara, A. B. (2020). A bibliometric analysis of online reviews research in tourism and hospitality. Sustainability, 12(23), 9977.
  • Nabiyev, V. (2012). Yapay zekâ: insan-bilgisayar etkileşimi. Seçkin Yayıncılık.
  • Nadimpalli, M. (2017). Artificial intelligence – consumers and industry impact. International Journal of Economics & Management Sciences, 6(4), 18-29.
  • Nilsson, N. (1990). The mathematical foundations of learning machines. Morgan Kaufmann.
  • Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the computers take over. California Management Review, 61, 156 – 186.
  • Önder, M., & Saygılı, H. (2018). Yapay zekâ ve kamu yönetimine yansımaları. Türk İdare Dergisi, 487(1), 629-668.
  • Öztürk, O., & Gürler, G. (2022). Bir literatür incelemesi olarak bibliyometrik analiz. Nobel Akademik Yayıncılık.
  • Pritchard, A. & Groos, O. V. (1969). Documentation notes. Journal of Documentation, 25(4), 344-349.
  • Qin, X. & Jiang, Z. (2019). The impact of ai on the advertising process: the chinese experience. Journal of Advertising, 48(4), 338-346.
  • Russell, S. J. & Norvig, P. (2020). Artificial intelligence. A Modern Approach.
  • Russell, S. J. & Norvig, P. (2016). Artificial intelligence. A Modern Approach.
  • Sestino, A. & De Mauro, A. (2022). Leveraging artificial intelligence in business: implications, applications and methods. Technology Analysis & Strategic Management, 34(1), 16-29.
  • Shankar, V. (2018). How artificial intelligence (ai) is reshaping retailing? Journal of Retailing, 94 (4), 8-19.
  • Statista (2024, 10 Kasım). https://www-statista-com.translate.goog/forecasts/1380173/ad-spending-markets-worldwide?_x_tr_sl=en&_x_tr_tl=tr&_x_tr_hl=tr&_x_tr_pto=tc.
  • Stine, J., Trumbore, A., Woll, T., & Sambucetti, H. (2019). Implications of artificial intelligence on business schools and lifelong learning. Academic Leadership Group, 4, 11.
  • Tanudjaja, I. & Kow, G. Y. (2018). Exploring bibliometric mapping in NUS using BibExcel and VOSviewer, 1–9.
  • Taubert, N. (2020). Institutionalization and professionalization of bibliometrics. Handbook Bibliometrics, 19, 1-2.
  • Toz, M. (2018, 10 Temmuz). Yapay zekâ reklam sektörünün geleceğini nasıl etkiler. https://digitalage.com.tr/yapay-zekâ-reklam-sektorunun-gelecegini- nasil-etkiler/.
  • Türksoy, N. (2022). The future of public relations, advertising and journalism: how artificial intelligence may transform the communication profession and why society should care? Türkiye İletişim Araştırmaları Dergisi, 40(1), 394-410.
  • Xian, X. (2021). Psychological factors in consumer acceptance of artificial intelligence in leisure economy: a structural equation model. Journal of Internet Technology, 22(3), 697-705.
  • Van Eck, N. J. & Waltman, L. (2010). Software survey: vosviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
  • Verma, S., Sharma, R., Deb, S. & Maitra, D. (2021). Artificial intelligence in marketing: systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002.
  • Vishnoi, S.K., Bagga, T., Sharma, A. & Wani, S.N. (2018). Artificial intelligence enabled marketing solutions: a review. Indian Journal of Eco Artificial Intelligence Nomics & Business, Vo Enabled Marketing, 17(4), 167–177.
  • Yusop, F. D., Ab Ghaffar, F., Danaee, M., Firdaus, A., Azah Hamzaid, N., Fitri Abu Hassan, Z., Senom, F., Ebrahim, N. A., Bonn, B. Y. & Yap, M. C. (2020). Two decades of research on early career faculties (ecfs): a bibliometric analysis of trends across regions. Pertanika Journal of Social Sciences and Humanities (JSSH), 28(1), 325-342.
  • Zeren, D. & Kaya, N. (2020). Dijital pazarlama: ulusal yazının bibliyometrik analizi. Çağ Üniversitesi Sosyal Bilimler Dergisi, 17(1), 35-52.
  • Zupic, I. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472.

Reklam Üretim Süreci Bağlamında Yapay Zekâ ve Yaratıcı Düşünce: Bibliyometrik Bir Analiz

Yıl 2024, , 281 - 305, 28.12.2024
https://doi.org/10.21733/ibad.1555574

Öz

Endüstrinin yeni devrimi olarak nitelendirilebilecek yapay zekânın, reklam ve yaratıcı düşünce ile olan ilişkisi, bu ilişkinin akademik boyutunun ortaya konması bu çalışmanın ana amacını oluşturmaktadır. Bibliyometrik analiz tekniği kullanılarak yapılan araştırmada, Web of Science veri tabanından elde edilen veri setleri Wosviever programıyla analiz edilmiştir. 2014-2024 yılları arasında yayınlanmış konu ile ilgili toplam 15 makalenin bulunduğu, en fazla çalışmanın 2022 yılında yapıldığı tespit edilmiştir. Yayınların ülkeler bağlamında “ağ haritası “incelendiğinde en çok atıf alan ülkeler sırasıyla Kanada (97), USA (85), İngiltere (81), Avustralya (72); konu bağlamında en fazla makale yayınlayan ve atıf alan dergi ise Journal of Advertising’dir. En sık kullanılan anahtar kelimeler, gerçekleşme ve bağlantı sayısı incelendiğinde sırasıyla; artificial intelligence (yapay zekâ), advertising (reklamcılık), machine learning (makine öğrenimi), advertising creativity (reklam yaratıcılığı)’dır. Elde edilen bulgular neticesinde konuya ilişkin çalışmaların sınırlı sayıda olduğu tespit edilmiş, kavramlar arası ilişkiler, kavramların ülke ve yayın bağlamları da ortaya konmuştur. Araştırmada elde edilen sonuçlar, akademisyenler ve sektör uzmanları için yeni çalışma alanları açmış ve yapay zekânın, yaratıcı üretim sürecinin farklı konu başlıkları altında incelenmesi gerekliliğini ortaya koymuştur.

Kaynakça

  • Argan, M., Dinç, H., Kaya, S., & Tokay Argan, M. (2023). Artificial intelligence (ai) in advertising: understanding and schematizing the behaviors of social media users. Advances in Distributed Computing and Artificial Intelligence Journal, 11(3), 331-348.
  • Atalay, M. & Çelik, E. (2017). Büyük veri analizinde yapay zeka ve makine öğrenmesi uygulamaları, Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(22), 155-172.
  • Aydın, İ. & Değirmenci, C. (2018). Yapay zekâ. Girdap Yayınları.
  • Bini, S. A. (2018). Artificial intelligence, machine learning, deep learning, and cognitive computing: what do these terms mean and how will they impact health care? The Journal of Arthroplasty, 33(8), 2358-2361.
  • Broadus, R.N. (1987). Toward a definition of “bibliometrics”. Scientometrics, 12(5-6), 373-379.
  • Cautela C., Mortati M., Dell’Era C., & Gastaldi L. (2019). The impact of artificial ıntelligence on design thinking practic.: Insights from the Ecosystem of Startups, Strategic Design Research Journal, 12(1), 114–13.
  • Churcher, P. R. (1991). The impact of artificial intelligence in leisure. AI & Society, 5(2), 147-155.
  • Cobo, M. J., Lopez Herrera, A.G., Herrera- Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609-1630.
  • Çeken, B. & Akgöz, B. (2023). The impact of artificial intelligence on design: the example of DALL-E. Sanat ve Tasarım Dergisi, 14(1), 374-397.
  • Dimitrieska, S., Stankovska, A. ve Efremova, T. (2018). Artificial intelligence and marketing. Entrepreneurship, 6(2), 298-304.
  • Fetzer, J. H. (1990). What is artificial intelligence? in artificial intelligence: its scope and limits. Springer, Dordrecht, 3-27.
  • Ford, M. (2015). The rise of the robots: technology and the threat of a jobless future. Basic books.
  • Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y. (2023). Artificial intelligence in advertising: advancements, challenges, and ethical considerations in targeting, personalization, content creation, and ad optimization. Sage Open, 1-20.
  • Hamet, P. & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69(1), 36-40.
  • Hoguet, B. (2019, 5 Temmuz). Storytelling ai: how artificial intelligence feeds creativity. https://cmf-fmc.ca/now-next/articles/storytelling-ai-how-artificial-intelligence-feeds-creativity.
  • Howard, J. (2019). Artificial intelligence: implications for the future of work. American Journal of Industrial Medicine, 62(11), 917-926.
  • IBM & NRF (2019, 1 Ağustos). The coming ai revolution in retail and consumer products:intelligent automation is transforming both industries in unexpected ways. https://www.ibm.com/downloads/cas/NDE0G4LA.
  • Irbite, A. & Strode, A. (2023). Artificial ıntelligence vs. desingners: impact of artificial intelligence on design practice. Society Integration Education of the International Scientific Conference, 4(1), 539-549.
  • Kaplan, A. & Haenlein, M. (2019). Siri, siri, in my hand: who’s the fairest in the land? on the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25.
  • Keleş, A., Keleş, A. & Akçetin, E. (2017). Pazarlama alanında yapay zekâ kullanım potansiyeli ve akıllı karar destek sistemleri. Electronic Turkish Studies, 12(11), 45-57.
  • Kızılkaya, Y. M. & Oğuzlar, A. (2018). Bazı denetimli öğrenme algoritmalarının r programlama dili ile kıyaslanması. Karadeniz Uluslar arası Bilimsel Dergi, 37(37), 90-98.
  • Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: how marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(1), 263-267.
  • King, K. (2019). Using artificial intelligence in marketing: how to harness ai and maintain the competitive edge. Kogan Pageç.
  • Kurzweil, R. (2019). İnsanlık 2.0. Alfa Basım Yayım Dağıtım.
  • Li, K. & Rollins, Li J. & Hale A. (2016). Output distributions and topic maps of safety related journals. Safety Science, 82(1), 236–244
  • McCarthy, J. & Hayes, P. J. (1981). Some philosophical problems from the standpoint of artificial intelligence. In Readings in Artificial Intelligence, 431-450.
  • McCorduck, P. (1982). Machines who think: a personal inquiry into the history and prospects of artificial intelligence. AK Peters/CRC Press: Boca Raton.
  • McCorduck, P. (2004). Machines who think. A. K. Peters, Ltd.
  • Moral-Munoz, J.A., Herrera-Viedma, E., Santisteban-Espejo, A., & Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to date review. EI Profesional de La Informacion, 29(1), 1-20.
  • Muritala, B. A., Sánchez-Rebull, M. V. & Hernández- Lara, A. B. (2020). A bibliometric analysis of online reviews research in tourism and hospitality. Sustainability, 12(23), 9977.
  • Nabiyev, V. (2012). Yapay zekâ: insan-bilgisayar etkileşimi. Seçkin Yayıncılık.
  • Nadimpalli, M. (2017). Artificial intelligence – consumers and industry impact. International Journal of Economics & Management Sciences, 6(4), 18-29.
  • Nilsson, N. (1990). The mathematical foundations of learning machines. Morgan Kaufmann.
  • Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the computers take over. California Management Review, 61, 156 – 186.
  • Önder, M., & Saygılı, H. (2018). Yapay zekâ ve kamu yönetimine yansımaları. Türk İdare Dergisi, 487(1), 629-668.
  • Öztürk, O., & Gürler, G. (2022). Bir literatür incelemesi olarak bibliyometrik analiz. Nobel Akademik Yayıncılık.
  • Pritchard, A. & Groos, O. V. (1969). Documentation notes. Journal of Documentation, 25(4), 344-349.
  • Qin, X. & Jiang, Z. (2019). The impact of ai on the advertising process: the chinese experience. Journal of Advertising, 48(4), 338-346.
  • Russell, S. J. & Norvig, P. (2020). Artificial intelligence. A Modern Approach.
  • Russell, S. J. & Norvig, P. (2016). Artificial intelligence. A Modern Approach.
  • Sestino, A. & De Mauro, A. (2022). Leveraging artificial intelligence in business: implications, applications and methods. Technology Analysis & Strategic Management, 34(1), 16-29.
  • Shankar, V. (2018). How artificial intelligence (ai) is reshaping retailing? Journal of Retailing, 94 (4), 8-19.
  • Statista (2024, 10 Kasım). https://www-statista-com.translate.goog/forecasts/1380173/ad-spending-markets-worldwide?_x_tr_sl=en&_x_tr_tl=tr&_x_tr_hl=tr&_x_tr_pto=tc.
  • Stine, J., Trumbore, A., Woll, T., & Sambucetti, H. (2019). Implications of artificial intelligence on business schools and lifelong learning. Academic Leadership Group, 4, 11.
  • Tanudjaja, I. & Kow, G. Y. (2018). Exploring bibliometric mapping in NUS using BibExcel and VOSviewer, 1–9.
  • Taubert, N. (2020). Institutionalization and professionalization of bibliometrics. Handbook Bibliometrics, 19, 1-2.
  • Toz, M. (2018, 10 Temmuz). Yapay zekâ reklam sektörünün geleceğini nasıl etkiler. https://digitalage.com.tr/yapay-zekâ-reklam-sektorunun-gelecegini- nasil-etkiler/.
  • Türksoy, N. (2022). The future of public relations, advertising and journalism: how artificial intelligence may transform the communication profession and why society should care? Türkiye İletişim Araştırmaları Dergisi, 40(1), 394-410.
  • Xian, X. (2021). Psychological factors in consumer acceptance of artificial intelligence in leisure economy: a structural equation model. Journal of Internet Technology, 22(3), 697-705.
  • Van Eck, N. J. & Waltman, L. (2010). Software survey: vosviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
  • Verma, S., Sharma, R., Deb, S. & Maitra, D. (2021). Artificial intelligence in marketing: systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002.
  • Vishnoi, S.K., Bagga, T., Sharma, A. & Wani, S.N. (2018). Artificial intelligence enabled marketing solutions: a review. Indian Journal of Eco Artificial Intelligence Nomics & Business, Vo Enabled Marketing, 17(4), 167–177.
  • Yusop, F. D., Ab Ghaffar, F., Danaee, M., Firdaus, A., Azah Hamzaid, N., Fitri Abu Hassan, Z., Senom, F., Ebrahim, N. A., Bonn, B. Y. & Yap, M. C. (2020). Two decades of research on early career faculties (ecfs): a bibliometric analysis of trends across regions. Pertanika Journal of Social Sciences and Humanities (JSSH), 28(1), 325-342.
  • Zeren, D. & Kaya, N. (2020). Dijital pazarlama: ulusal yazının bibliyometrik analizi. Çağ Üniversitesi Sosyal Bilimler Dergisi, 17(1), 35-52.
  • Zupic, I. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472.
Toplam 55 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sosyoloji (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Gonca Köse 0000-0001-6464-4014

Erdem Geçit 0000-0001-6077-0910

Sinem Yeygel Çakır 0000-0003-3947-1275

Erken Görünüm Tarihi 22 Aralık 2024
Yayımlanma Tarihi 28 Aralık 2024
Gönderilme Tarihi 24 Eylül 2024
Kabul Tarihi 21 Aralık 2024
Yayımlandığı Sayı Yıl 2024

Kaynak Göster

APA Köse, G., Geçit, E., & Yeygel Çakır, S. (2024). Reklam Üretim Süreci Bağlamında Yapay Zekâ ve Yaratıcı Düşünce: Bibliyometrik Bir Analiz. IBAD Sosyal Bilimler Dergisi(17), 281-305. https://doi.org/10.21733/ibad.1555574