Araştırma Makalesi
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VIRTUAL VS REAL: A COMPARATIVE STUDY ON CGI ADS AND GUERRILLA ADS

Yıl 2025, Cilt: 8 Sayı: 1, 10 - 40, 27.03.2025
https://doi.org/10.61766/hire.1596828

Öz

This qualitative research delves into the ever-changing interactions between artificial intelligence (AI) and digitalization in the advertising industry. Rapid improvements in digital technologies have transformed the nature of designing advertisements presenting AI as a major revolution in the advertising industry. AI allows companies to analyze big data to reveal customers’ demographic attributes to design customized ads to meet customers’ expectations. Such attempts are known as data colonialism, yet the use of CGI ads (computer-generated imagery) proved more effective than non-digital ads. This qualitative research aims to discover the intergenerational perceptions of the effectiveness and emotional impact of The North Face’s CGI ads on consumers compared to its guerrilla ads. Two CGI and two guerrilla ads have been selected and analyzed through content analysis. To enrich and reinforce findings, a focus group research has been conducted. Consumers' reactions toward the chosen advertisements were examined based on cognitive and affective models of advertising. Findings confirmed that CGI ads were more effective, compelling and understandable. Y and Z-generations also claimed that CGI ads enhanced consumer engagement with products, encouraged them to share their emotions on social media, and tailored their perceptions positively towards the products staying longer in customers’ minds.

Kaynakça

  • Abdelmissih, S. (2023). Artificial intelligence (AI) and human communication and cognition: Hope and concerns. Biomedical Journal of Scientific & Technical Research, 49(4), 40966–40968. https://doi.org/10.26717/bjstr.2023.49.007849
  • Abdou, A. (2024). The importance of employing CGI technology in advertising design: Advantages and disadvantages. Economic Researcher Review, 12(1), 73-83. Retrieved from https://asjp.cerist.dz/en/article/249390
  • Ahluwalia, S., & Singh, S. (2020). Do actions speak? A behavioural analysis of consumers’ perception of e-advertising. Abhigyan, 37(4), 49–58. https://doi.org/10.56401/abhigyan_37.4.2020.49-58
  • Ahn, R. J., Cho, S. Y., & Tsai, W. S. (2022). Demystifying Computer-Generated Imagery (CGI) influencers: The effect of perceived anthropomorphism and social presence on brand outcomes. Journal of Interactive Advertising, 22(3), 327–335. https://doi.org/10.1080/15252019.2022.2111242
  • Aiolfi, S., Bellini, S., & Pellegrini, D. (2021). Data-driven digital advertising: benefits and risks of online behavioral advertising. International Journal of Retail & Distribution Management, 49(7), 1089–1110. https://doi.org/10.1108/ijrdm-10-2020-0410
  • Akcan, D., Yilmaz, M., Güleç, U., & Ilgın, H. E. (2024). Engagement and brand recall in software developers: An eye-tracking study on AdverGames. Applied Sciences, 14(18), 8360. https://doi.org/10.3390/app14188360
  • Al Tamer, M. H. (2020). The impact of digitization on advertising effectiveness. Management Studies and Economic Systems, 5(3/4), 117–126. https://doi.org/10.12816/0059075.
  • Araujo, T., Helberger, N., Kruikemeier, S., & De Vreese, C. H. (2020). In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI & Society, 35(3), 611–623. https://doi.org/10.1007/s00146-019-00931-w
  • Arbaiza, F., Arias, J., & Robledo-Dioses, K. (2024). AI-driven advertising activity: Perspectives from Peruvian advertisers. Communication & Society, 37(4), 273–292. https://doi.org/10.15581/003.37.4.273-292
  • Archibald, M. M., Radil, A. I., Zhang, X., & Hanson, W. E. (2015). Current mixed methods practices in qualitative research: A thematic analysis of leading journals. International Journal of Qualitative Methods, 14(2), 5–33. https://doi.org/10.1177/160940691501400205
  • Ayaz, Y. Y. (2023). Dijital reklamcılık ve dijital reklam süreci. In E. Geçit (Ed.), Reklam Genemo: Pratikte ve Teoride Reklam (pp. 100–117). Konya, Türkiye: Eğitim Yayınevi.
  • Camilleri, M. A. (2024). Artificial intelligence governance: Ethical considerations and implications for social responsibility. Expert Systems, 41(7), e13406. https://doi.org/10.1111/exsy.13406
  • Campos, J. D. S., & Campos, J. R. (2024). Distribution personalization and content decentralization on brand recall. International Journal of Marketing and Digital Creative, 2(2), 68–82. https://doi.org/10.31098/ijmadic.v2i2.2205
  • Chu, S., & Seock, Y. (2020). The power of social media in fashion advertising. Journal of Interactive Advertising, 20(2), 93–94. https://doi.org/10.1080/15252019.2020.1802955
  • Clark, E. M., Brock, T. C., & Stewart, D. (1994). Attention, attitude, and affect in response to advertising. Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Cochoy, F., Licoppe, C., McIntyre, M. P., & Sörum, N. (2020). Digitalizing consumer society: equipment and devices of digital consumption. Journal of Cultural Economy, 13(1), 1–11. https://doi.org/10.1080/17530350.2019.1702576
  • Collier, P. M., Ewing, M. T., & Cooper, H. B. (2020). Balancing creativity and organisational performance in an advertising agency network: A case study. Journal of Marketing Communications, 27(8), 840–864. https://doi.org/10.1080/13527266.2020.1777580
  • Čvirik, M. (2020). The cognitive, affective, and conative components of consumer behaviour in the context of country of origin: A case of Slovakia. In 20th International Joint Conference: Central and Eastern Europe in the Changing Business Environment (pp. 23–33). Prague, Czech Republic: University of Economics and Business.
  • Doğanay, A., Ataizi, M., Şimşek, A., Salı, J. B., & Akbulut, Y. (2012). Sosyal bilimlerde araştırma yöntemleri. Eskişehir, Türkiye: Anadolu University.
  • Duffett, R. (2020). The YouTube marketing communication effect on cognitive, affective, and behavioural attitudes among Generation Z consumers. Sustainability, 12(12), 5075. https://doi.org/10.3390/su12125075
  • Feng, Y., & Chen, H. (2022). Leveraging artificial intelligence to analyze consumer sentiments within their context: A case study of always #likeagirl campaign. Journal of Interactive Advertising, 22(3), 336–348. https://doi.org/10.1080/15252019.2022.2126337
  • Franke, C., Groeppel-Klein, A., & Müller, K. (2023). Consumers’ responses to virtual influencers as advertising endorsers: Novel and effective or uncanny and deceiving? Journal of Advertising, 52(4), 523–539. https://doi.org/10.1080/00913367.2022.2154721
  • Garganas, O. (2024). Digital video advertising: Breakthrough or extension of TV advertising in the new digital media landscape? Journalism and Media, 5(2), 749–765. https://doi.org/10.3390/journalmedia5020049
  • Gedik, Y. (2020). A new window in marketing: Digital marketing. Journal of Business in Digital Age, 3(1), 63-75. https://doi.org/10.46238/jobda.726408
  • Gül, S. S., & Nizam, Ö. K. (2020). Sosyal bilimlerde içerik analizi. Pamukkale University Journal of Social Sciences Institute, 42, 181–198. https://doi.org/10.30794/pausbed.803182
  • Güngör, A. S., & Çadırcı, T. O. (2022). Understanding digital consumer: A review, synthesis, and future research agenda. International Journal of Consumer Studies, 46(5), 1829–1858. https://doi.org/10.1111/ijcs.12809
  • Ha, L. (2008). Online advertising research in advertising journals: A review. Journal of Current Issues & Research in Advertising, 30, 31-48. https://doi.org/10.1080/10641734.2008.10505236
  • Hanna, D. (2023). The use of artificial intelligence art generator “MidJourney” in artistic and advertising creativity. Journal of Design Sciences and Applied Arts/Journal of Design Sciences and Applied Arts, 4(2), 42–58. https://doi.org/10.21608/jdsaa.2023.169144.1231
  • He, F., Du, M., Filos-Ratsikas, A., Cheng, L., Song, Q., Lin, M., & Vines, J. (2024). AI-driven online advertising: Market design, generative AI, and ethics. Companion Proceedings of the ACM Web Conference 2024, 1407–1409. https://doi.org/10.1145/3589335.3641295
  • Henderson, P. W., & Cote, J. A. (1998). Guidelines for selecting or modifying logos. Journal of Marketing, 62(2), 14–30. https://doi.org/10.2307/1252158
  • Horáková, J., Uusitalo, O., Munnukka, J., & Jokinen, O. (2022). Does the digitalization of retailing disrupt consumers’ attachment to retail places? Journal of Retailing and Consumer Services, 67, 102958. https://doi.org/10.1016/j.jretconser.2022.102958
  • İnam, Ö. (2002). Reklamlara yönelik tepkilerin ölçülmesinde kullanılan modeller. Kurgu Dergisi, 19(1), 190–199. Retrieved from https://dergipark.org.tr/tr/pub/kurgu/issue/59554/856790
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SANAL VS GERÇEK: CGI REKLAMLARI VE GERİLLA REKLAMLARI ÜZERİNE KARŞILAŞTIRMALI BİR ÇALIŞMA

Yıl 2025, Cilt: 8 Sayı: 1, 10 - 40, 27.03.2025
https://doi.org/10.61766/hire.1596828

Öz

Bu nitel araştırma, reklam endüstrisinde yapay zeka (AI) ile dijitalleşme arasındaki sürekli değişen etkileşimleri araştırmaktadır. Dijital teknolojilerdeki hızlı gelişmeler, yapay zekayı reklam endüstrisinde büyük bir devrim olarak sunarak reklam tasarlamanın doğasını değiştirmiştir. Yapay zeka, şirketlerin büyük verileri analiz ederek müşterilerin demografik özelliklerini ortaya çıkarmasına ve müşterilerin beklentilerini karşılayacak şekilde özelleştirilmiş reklamlar tasarlamasına olanak tanımaktadır. Bu tür girişimler veri sömürgeciliği olarak adlandırılsa da, yine de, CGI reklamlarının (bilgisayar tarafından oluşturulan görüntüler) kullanımının dijital olmayan reklamlardan daha etkili olduğu kanıtlanmıştır. Bu nitel araştırma, The North Face'in CGI reklamlarının gerilla reklamlarıyla karşılaştırıldığında tüketiciler üzerindeki etkililiği ve duygusal etkisine ilişkin nesiller arası algıları araştırmayı amaçlamaktadır. İki CGI ve iki gerilla reklamı seçilmiş ve içerik analizi yoluyla analiz edilmiştir. Bulguları zenginleştirmek ve güçlendirmek için bir odak grup araştırması yapılmıştır. Tüketicilerin seçilen reklamlara yönelik tepkileri, reklamın bilişsel ve duygusal modellerine göre incelenmiştir. Bulgular, CGI reklamlarının daha etkili, ilgi çekici ve anlaşılır olduğunu doğruladı. Y ve Z kuşakları ayrıca CGI reklamlarının tüketicinin ürünlerle etkileşimini artırdığını, katılımcıların reklam ile ilgili duygularını sosyal medyada paylaşmaya teşvik ettiğini ve ürünlerin müşterilerin akıllarında daha uzun süre kalmasına yönelik olumlu anlamda şekillendirdiğini doğruladı.

Kaynakça

  • Abdelmissih, S. (2023). Artificial intelligence (AI) and human communication and cognition: Hope and concerns. Biomedical Journal of Scientific & Technical Research, 49(4), 40966–40968. https://doi.org/10.26717/bjstr.2023.49.007849
  • Abdou, A. (2024). The importance of employing CGI technology in advertising design: Advantages and disadvantages. Economic Researcher Review, 12(1), 73-83. Retrieved from https://asjp.cerist.dz/en/article/249390
  • Ahluwalia, S., & Singh, S. (2020). Do actions speak? A behavioural analysis of consumers’ perception of e-advertising. Abhigyan, 37(4), 49–58. https://doi.org/10.56401/abhigyan_37.4.2020.49-58
  • Ahn, R. J., Cho, S. Y., & Tsai, W. S. (2022). Demystifying Computer-Generated Imagery (CGI) influencers: The effect of perceived anthropomorphism and social presence on brand outcomes. Journal of Interactive Advertising, 22(3), 327–335. https://doi.org/10.1080/15252019.2022.2111242
  • Aiolfi, S., Bellini, S., & Pellegrini, D. (2021). Data-driven digital advertising: benefits and risks of online behavioral advertising. International Journal of Retail & Distribution Management, 49(7), 1089–1110. https://doi.org/10.1108/ijrdm-10-2020-0410
  • Akcan, D., Yilmaz, M., Güleç, U., & Ilgın, H. E. (2024). Engagement and brand recall in software developers: An eye-tracking study on AdverGames. Applied Sciences, 14(18), 8360. https://doi.org/10.3390/app14188360
  • Al Tamer, M. H. (2020). The impact of digitization on advertising effectiveness. Management Studies and Economic Systems, 5(3/4), 117–126. https://doi.org/10.12816/0059075.
  • Araujo, T., Helberger, N., Kruikemeier, S., & De Vreese, C. H. (2020). In AI we trust? Perceptions about automated decision-making by artificial intelligence. AI & Society, 35(3), 611–623. https://doi.org/10.1007/s00146-019-00931-w
  • Arbaiza, F., Arias, J., & Robledo-Dioses, K. (2024). AI-driven advertising activity: Perspectives from Peruvian advertisers. Communication & Society, 37(4), 273–292. https://doi.org/10.15581/003.37.4.273-292
  • Archibald, M. M., Radil, A. I., Zhang, X., & Hanson, W. E. (2015). Current mixed methods practices in qualitative research: A thematic analysis of leading journals. International Journal of Qualitative Methods, 14(2), 5–33. https://doi.org/10.1177/160940691501400205
  • Ayaz, Y. Y. (2023). Dijital reklamcılık ve dijital reklam süreci. In E. Geçit (Ed.), Reklam Genemo: Pratikte ve Teoride Reklam (pp. 100–117). Konya, Türkiye: Eğitim Yayınevi.
  • Camilleri, M. A. (2024). Artificial intelligence governance: Ethical considerations and implications for social responsibility. Expert Systems, 41(7), e13406. https://doi.org/10.1111/exsy.13406
  • Campos, J. D. S., & Campos, J. R. (2024). Distribution personalization and content decentralization on brand recall. International Journal of Marketing and Digital Creative, 2(2), 68–82. https://doi.org/10.31098/ijmadic.v2i2.2205
  • Chu, S., & Seock, Y. (2020). The power of social media in fashion advertising. Journal of Interactive Advertising, 20(2), 93–94. https://doi.org/10.1080/15252019.2020.1802955
  • Clark, E. M., Brock, T. C., & Stewart, D. (1994). Attention, attitude, and affect in response to advertising. Hillsdale, NJ: Lawrence Erlbaum Associates.
  • Cochoy, F., Licoppe, C., McIntyre, M. P., & Sörum, N. (2020). Digitalizing consumer society: equipment and devices of digital consumption. Journal of Cultural Economy, 13(1), 1–11. https://doi.org/10.1080/17530350.2019.1702576
  • Collier, P. M., Ewing, M. T., & Cooper, H. B. (2020). Balancing creativity and organisational performance in an advertising agency network: A case study. Journal of Marketing Communications, 27(8), 840–864. https://doi.org/10.1080/13527266.2020.1777580
  • Čvirik, M. (2020). The cognitive, affective, and conative components of consumer behaviour in the context of country of origin: A case of Slovakia. In 20th International Joint Conference: Central and Eastern Europe in the Changing Business Environment (pp. 23–33). Prague, Czech Republic: University of Economics and Business.
  • Doğanay, A., Ataizi, M., Şimşek, A., Salı, J. B., & Akbulut, Y. (2012). Sosyal bilimlerde araştırma yöntemleri. Eskişehir, Türkiye: Anadolu University.
  • Duffett, R. (2020). The YouTube marketing communication effect on cognitive, affective, and behavioural attitudes among Generation Z consumers. Sustainability, 12(12), 5075. https://doi.org/10.3390/su12125075
  • Feng, Y., & Chen, H. (2022). Leveraging artificial intelligence to analyze consumer sentiments within their context: A case study of always #likeagirl campaign. Journal of Interactive Advertising, 22(3), 336–348. https://doi.org/10.1080/15252019.2022.2126337
  • Franke, C., Groeppel-Klein, A., & Müller, K. (2023). Consumers’ responses to virtual influencers as advertising endorsers: Novel and effective or uncanny and deceiving? Journal of Advertising, 52(4), 523–539. https://doi.org/10.1080/00913367.2022.2154721
  • Garganas, O. (2024). Digital video advertising: Breakthrough or extension of TV advertising in the new digital media landscape? Journalism and Media, 5(2), 749–765. https://doi.org/10.3390/journalmedia5020049
  • Gedik, Y. (2020). A new window in marketing: Digital marketing. Journal of Business in Digital Age, 3(1), 63-75. https://doi.org/10.46238/jobda.726408
  • Gül, S. S., & Nizam, Ö. K. (2020). Sosyal bilimlerde içerik analizi. Pamukkale University Journal of Social Sciences Institute, 42, 181–198. https://doi.org/10.30794/pausbed.803182
  • Güngör, A. S., & Çadırcı, T. O. (2022). Understanding digital consumer: A review, synthesis, and future research agenda. International Journal of Consumer Studies, 46(5), 1829–1858. https://doi.org/10.1111/ijcs.12809
  • Ha, L. (2008). Online advertising research in advertising journals: A review. Journal of Current Issues & Research in Advertising, 30, 31-48. https://doi.org/10.1080/10641734.2008.10505236
  • Hanna, D. (2023). The use of artificial intelligence art generator “MidJourney” in artistic and advertising creativity. Journal of Design Sciences and Applied Arts/Journal of Design Sciences and Applied Arts, 4(2), 42–58. https://doi.org/10.21608/jdsaa.2023.169144.1231
  • He, F., Du, M., Filos-Ratsikas, A., Cheng, L., Song, Q., Lin, M., & Vines, J. (2024). AI-driven online advertising: Market design, generative AI, and ethics. Companion Proceedings of the ACM Web Conference 2024, 1407–1409. https://doi.org/10.1145/3589335.3641295
  • Henderson, P. W., & Cote, J. A. (1998). Guidelines for selecting or modifying logos. Journal of Marketing, 62(2), 14–30. https://doi.org/10.2307/1252158
  • Horáková, J., Uusitalo, O., Munnukka, J., & Jokinen, O. (2022). Does the digitalization of retailing disrupt consumers’ attachment to retail places? Journal of Retailing and Consumer Services, 67, 102958. https://doi.org/10.1016/j.jretconser.2022.102958
  • İnam, Ö. (2002). Reklamlara yönelik tepkilerin ölçülmesinde kullanılan modeller. Kurgu Dergisi, 19(1), 190–199. Retrieved from https://dergipark.org.tr/tr/pub/kurgu/issue/59554/856790
  • Kafadar, O., Oğuz, G., & Karaca, Y. (2023). Effect of banner advertisement and brand. The Journal of Academic Social Sciences, 11(139), 56-76. https://doi.org/10.29228/ASOS.68224
  • Keller, K. L. (2013). Strategic brand management: Building, measuring, and managing brand equity (Global edition) (4th ed.). Pearson Education.
  • Kini, R. B., Bolar, K., Rofin, T. M., Mukherjee, S., & Bhattacharjee, S. (2023). Acceptance of location-based advertising by young consumers: A stimulus-organism-response (S-O-R) model perspective. Information Systems Management, 41(2), 132–150. https://doi.org/10.1080/10580530.2023.2214843
  • Kuang, R., Hu, C., Huo, S., Shi, Y., Tang, X., & Mao, L. (2024). Study on the psychological effects of intangible cultural heritage advertising with different degrees of situational involvement. Behavioral Sciences, 14(7), 623. https://doi.org/10.3390/bs14070623
  • Kumar, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing: What, where, and how? International Journal of Information Management, 77, 1-24. doi:https://doi.org/10.1016/j.ijinfomgt.2024.102783
  • Kuo, Y., Batool, S., Devi, S., Tahir, T., & Yu, J. (2023). Exploring the impact of emotionalized learning experiences on the affective domain: A comprehensive analysis. Heliyon, 10(1), e23263. https://doi.org/10.1016/j.heliyon.2023.e23263
  • Lavidge, R. J., & Steiner, G. A. (1961). A model for predictive measurements of advertising effectiveness. Journal of Marketing, 25(6), 59–62. https://doi.org/10.1177/002224296102500611
  • Mayring, P. (2015). Qualitative thematic analysis: Theoretical background and procedures. In A. Bikner-Ahsbahs, C. Knipping, & N. Presmeg (Eds.), Approaches to qualitative research in mathematics education (pp. 365–380). Dordrecht, Netherlands: Springer. https://doi.org/10.1007/978-94-017-9181-6_13
  • Metin, O., & Ünal, Ş. (2022). The content analysis technique: Its use in communication sciences and Ph.D. theses in sociology. Anadolu University Journal of Social Sciences, 22(2), 273–294. https://doi.org/10.18037/ausbd.1227356
  • Mosa, R. A. (2021). The impact of advertising credibility on purchase intentions: An empirical study among Iraqi Facebook users. European Journal of Business Management and Research, 6(5), 228–234. https://doi.org/10.24018/ejbmr.2021.6.5.1123
  • Nekmahmud, M., Naz, F., Ramkissoon, H., & Fekete-Farkas, M. (2022). Transforming consumers’ intention to purchase green products: Role of social media. Technological Forecasting and Social Change, 185, 122067. https://doi.org/10.1016/j.techfore.2022.122067
  • Ouf, G. M. (2023). The impact of guerrilla advertising on brand image: A study of three types of guerrilla advertising. Journal of Art, Design and Music, 2(1), 63–80. https://doi.org/10.55554/2785-9649.1014
  • Özsoy, T. (2015). Reklamı okumak. İstanbul, Türkiye: Hiperlink Yayınevi.
  • Rodgers, S. (2021). Themed issue introduction: Promises and perils of Artificial Intelligence and advertising. Journal of Advertising, 50(1), 1-10 https://doi.org/10.1080/00913367.2020.186823
  • Şahin, B., Kocaoğlu, A., & Ersoy, A. (2023). İçerik analizi: Nitel ve nicel paradigma açısından analitik bir değerlendirme. In Proceedings of the International Education Congress - EDUCongress2023 (pp. 927–930). Ankara, Turkey: EDUCongress. Retrieved from https://educongress.org/wp-content/uploads/2023/10/EDUCONGRESS-2023-ABSTRACT-BOOK-1.pdf
  • Sifaoui, A., & Segijn, C. M. (2024). Surveillance in the advertising landscape: Application of the DEAL framework to investigate online behavioral advertising, surveillance, and users’ responses on Instagram. Journal of Current Issues & Research in Advertising, 45(1), 1–15. https://doi.org/10.1080/10641734.2024.2419602
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  • Talha, M., Tahir, Z., & Mehroush, I. (2024). Enhancing customer engagement through source appearance and self-influencer congruence in mobile advertising. Spanish Journal of Marketing, 28(4), 382-401. https://doi.org/10.1108/SJME-03-2023-0073
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  • Tzoulia, E. (2021). Targeted advertising in the digital era: Modern challenges to consumer privacy and economic freedom: The responses of the EU legal order. In T. E. Synodinou, P. Jougleux, C. Markou, & T. Prastitou-Merdi (Eds.), EU internet law in the digital single market (pp. 447–477). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-69583-5_19
  • Vashishth, T. K., Vikas, Sharma, K. K., Kumar, B., Chaudhary, S., & Panwar, R. (2024). Enhancing customer experience through AI-enabled content personalization in e-commerce marketing. In M. Ltifi (Ed.), Advances in digital marketing in the era of artificial intelligence (pp. 7–32). Boca Raton, FL: CRC Press. https://doi.org/10.1201/9781003450443-2
  • Vrtana, D., & Krizanova, A. (2023). The power of emotional advertising appeals: examining their influence on consumer purchasing behavior and Brand–Customer relationship. Sustainability, 15(18), 13337. https://doi.org/10.3390/su151813337
  • Wuisan, D. S., & Handra, T. (2023). Maximizing online marketing strategy with digital advertising. Startupreneur Business Digital (SABDA Journal), 2(1), 22–30. https://doi.org/10.33050/sabda.v2i1.275
  • Yang, P., Li, K., & Ji, C. (2023). How customers respond to social media advertising. Marketing Intelligence & Planning, 41(2), 229-243. https://doi.org/10.1108/MIP-09-2022-0397
  • Zahid, H., Ali, S., Danish, M., & Sulaiman, M. a. B. A. (2022). Factors affecting consumer’s intentions to purchase dairy products in Pakistan: A Cognitive Affective-Attitude approach. Journal of International Food & Agribusiness Marketing, 36(3), 347–372. https://doi.org/10.1080/08974438.2022.2125919
Toplam 58 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Dijital Reklamcılık
Bölüm Araştırma Makalesi
Yazarlar

Mürüde Özen Sevinç 0000-0003-1808-3900

Ahmet İyici 0000-0002-8224-7730

Erken Görünüm Tarihi 17 Mart 2025
Yayımlanma Tarihi 27 Mart 2025
Gönderilme Tarihi 5 Aralık 2024
Kabul Tarihi 19 Şubat 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 8 Sayı: 1

Kaynak Göster

APA Özen Sevinç, M., & İyici, A. (2025). VIRTUAL VS REAL: A COMPARATIVE STUDY ON CGI ADS AND GUERRILLA ADS. Uluslararası Halkla İlişkiler Ve Reklam Çalışmaları Dergisi, 8(1), 10-40. https://doi.org/10.61766/hire.1596828


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