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İNTROYU GEÇ, AMA NETFLİX’İ GEÇME: TÜRK GENÇLERİNİN DEVAM NİYETİNİ NE ŞEKİLLENDİRİYOR?

Yıl 2025, Cilt: 23 Sayı: 56, 1077 - 1095, 19.03.2025
https://doi.org/10.35408/comuybd.1605714

Öz

Bu çalışma, Türkiye’deki genç kullanıcıların Netflix platformunu kullanmaya devam etme niyetlerini etkileyen beş temel faktörü (kullanım kolaylığı, arka arkaya izleme, eğlence, rahatlama ve sosyal etkileşim) incelemektedir. Menon’un (2022) modelinin Türkiye bağlamına uyarlanmasıyla 231 katılımcıdan elde edilen verilere dayanan bu araştırma, arka arkaya izleme ve eğlence değişkeninin gençlerin devam niyeti üzerinde anlamlı bir etkisi olduğunu ortaya koymuştur. Buna karşılık, kullanım kolaylığı, rahatlama ve sosyal etkileşim faktörlerinin istatistiksel olarak anlamlı bir etkisi bulunmamıştır. Bulgular, kullanıcı bağlılığını sürdürmede içerik odaklı stratejilerin önemini vurgulamakta ve Kullanımlar ve Doyumlar Teorisi ile uyumlu bir çerçeve sunmaktadır. Çalışma, hem akademik hem de pratik çıkarımlar sunmaktadır. Akademik olarak, teorik modelleri yeni bir kültürel bağlamda doğrulamakta ve dijital medya tüketim davranışlarına yönelik literatüre katkı sağlamaktadır. Pratik açıdan, OTT platformlarının yerelleştirilmiş içerik üretimine, hedefe yönelik pazarlama stratejilerine ve yoğun medya tüketimini teşvik eden deneyimlere öncelik vermesi gerektiğini önermektedir. Gelecek araştırmalarda, kişiselleştirilmiş öneriler, içerik çeşitliliği ve platformlar arası rekabet gibi değişkenlerin uzunlamasına modellerle incelenmesi, dinamik dijital ortamlarda kullanıcı davranışlarının daha kapsamlı anlaşılmasını sağlayabilir.

Kaynakça

  • Anghelcev, G., Sar, S., Martin, J., and Moultrie, J. (2021). Binge-watching serial video content: Exploring the subjective phenomenology of the binge-watching experience. Mass Communication and Society, 24(2), 230–252.
  • Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.
  • Cognitive Market Research. (2024). Over The Top OTT Market Report 2024 (Global Edition). Erişim, 02 Aralık 2024: https://www.cognitivemarketresearch.com/over-the-top-ott-market-report
  • Demand Sage. (2024). 30+ OTT Statistics 2024 (Viewership and Market Size). Erişim: https://www.demandsage.com/ott-statistics/
  • Ecevit, M. Z., and Duman, O. (2022). Investigation of factors affecting consumers' purchase intention to refurbished products. Business & Management Studies: An International Journal, 10(3), 997.
  • Expert Market Research. (2024). Over the Top (OTT) Market Size, Share, Analysis | 2032. Erişim, 02 Aralık 2024: https://www.expertmarketresearch.com/reports/over-the-top-market
  • Fang, X., Hu, P. J.-H., Chau, M., Hu, H.-F., Yang, Z., and Sheng, O. R. L. (2012). A data-driven approach to measure web site navigability. Journal of Management Information Systems, 29(2), 173–212.
  • Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
  • Fortune Business Insights. (2024). Over The Top [OTT] Services Market SIZE | REPORT, 2032. Erişim, 02 Aralık 2024: https://www.fortunebusinessinsights.com/industry-reports/over-the-top-services-market-100506
  • Gefen, D., Karahanna, E., and Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
  • Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications.
  • Hall, J. A. (2016). When is social media use social interaction? Defining mediated social interaction. New Media and Society, 20(1), 162–179.
  • Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
  • Henseler, J., Ringle, C. M., and Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics and P. N. Ghauri (Eds.), Advances in International Marketing (pp. 277–319). Leeds: Emerald Group Publishing Limited.
  • Hou, F., Guan, Z., Li, B., and Chong, A. Y. L. (2019). Factors influencing people’s continuous watching intention and consumption intention in live streaming: Evidence from China. Internet Research, 29(6), 1551–1573.
  • Hwang, I. (2024). Mitigation of Lock-in and Privacy Concerns for OTT Users: The Role of Service Diversity, Technical Support, and Social Interaction. Journal of Digital Contents Society, 25(5), 1205–1216.
  • Kim, H.-W., Chan, H. C., and Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126.
  • Kuyucu, M. (2015). TV broadcasting in Turkey. The Turkish television audience in the frame of uses and gratification approach. Athens Journal of Mass Media and Communications, 1(4), 289–312.
  • Lin, K. Y., and Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in human behavior, 27(3), 1152-1161.
  • Menon, D. (2022). Purchase and continuation intentions of over-the-top (OTT) video streaming platform subscriptions: A uses and gratification theory perspective. Telematics and Informatics Reports, 5, 100006.
  • Muntinga, D. G., Moorman, M., and Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of Advertising, 30(1), 13–46.
  • Netflix. (2024). Quarterly Earnings Report Q1 2024. Erişim, 02 Aralık 2024: https://ir.netflix.net/financials/quarterly-earnings/default.aspx
  • Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151–167.
  • Panda, S., and Pandey, S. C. (2017). Binge watching and college students: Motivations and outcomes. Young Consumers, 18(4), 425–438.
  • Schweidel, D. A., and Moe, W. W. (2016). Binge watching: Understanding the drivers of content consumption timing. Journal of Marketing, 80(3), 1–19.
  • Starosta, J. A., and Izydorczyk, B. (2020). Understanding the phenomenon of binge-watching—A systematic review. International Journal of Environmental Research and Public Health, 17(12), 4469.
  • Statista. (2024). OTT Video - Worldwide | Statista Market Forecast. Erişim, 02 Aralık 2024: https://www.statista.com/outlook/amo/media/tv-video/ott-video/worldwide
  • Steiner, E. (2017). Binge-watching motivates change: Uses and gratifications of streaming video viewers challenge traditional TV research. Convergence, 23(4), 361–375.
  • Technavio. (2024). Over The Top (OTT) Market Analysis Size Report 2024-2028. Erişim, 02 Aralık 2024: https://www.technavio.com/report/over-the-top-market-industry-analysis
  • The Business Research Company. (2024). OTT Streaming Global Market Report 2024. Erişim, 02 Aralık 2024: https://www.thebusinessresearchcompany.com/report/ott-streaming-global-market-report
  • Thelwall, M. (2017). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing and Management, 53(1), 106–121.
  • Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
  • Venkatesh, V., Thong, J. Y., and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
  • Whiting, A., and Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362–369.
  • Yaprak, B., and Cengiz, E. (2023). Do Consumers Really Care About Social Media Marketing Activities? Evidence from Netflix’s Turkish and German Followers in Social Media. Ege Academic Review, 23(3), 441–456.y
  • Zhang, P., von Dran, G. M., Small, R. V., and Barcellos, S. (2006). Websites that satisfy users: A theoretical framework for web user satisfaction. Communications of the ACM, 43(12), 107–112.

SKIP THE INTRO, BUT DON’T SKIP NETFLIX: WHAT DRIVES TURKISH YOUTH’S CONTINUATION INTENTION?

Yıl 2025, Cilt: 23 Sayı: 56, 1077 - 1095, 19.03.2025
https://doi.org/10.35408/comuybd.1605714

Öz

This study examines the factors influencing the subscription continuation intentions of young users in Türkiye on the Netflix platform, focusing on five key determinants: convenient navigability, binge-watching, entertainment, relaxation, and social interaction. Employing a quantitative research design with data collected from 231 participants, the study adapts Menon’s (2022) model to the Turkish context. The findings reveal that binge-watching and entertainment significantly impact continuation intention, emphasizing the central role of content consumption and emotional gratification in user retention. However, convenient navigability, relaxation, and social interaction were found to have no statistically significant effects. These results highlight the importance of engaging, high-quality, and binge-worthy content in maintaining user loyalty, aligning with Uses and Gratifications Theory and prior literature. The study provides both academic and practical insights. Academically, it validates and extends theoretical constructs within a novel cultural setting, contributing to the understanding of digital media consumption behaviors. Practically, it suggests that OTT platforms should prioritize localized content production, targeted marketing strategies, and enhanced binge-watching experiences to cater to culturally diverse audiences. Moreover, while ease of navigation and social interaction showed limited direct effects, platforms could still benefit from features enhancing usability and facilitating online discussions. Future research should explore longitudinal models and alternative variables, such as personalized recommendations, content diversity, and inter-platform competition, to provide a comprehensive understanding of user behavior in dynamic digital environments.

Kaynakça

  • Anghelcev, G., Sar, S., Martin, J., and Moultrie, J. (2021). Binge-watching serial video content: Exploring the subjective phenomenology of the binge-watching experience. Mass Communication and Society, 24(2), 230–252.
  • Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.
  • Cognitive Market Research. (2024). Over The Top OTT Market Report 2024 (Global Edition). Erişim, 02 Aralık 2024: https://www.cognitivemarketresearch.com/over-the-top-ott-market-report
  • Demand Sage. (2024). 30+ OTT Statistics 2024 (Viewership and Market Size). Erişim: https://www.demandsage.com/ott-statistics/
  • Ecevit, M. Z., and Duman, O. (2022). Investigation of factors affecting consumers' purchase intention to refurbished products. Business & Management Studies: An International Journal, 10(3), 997.
  • Expert Market Research. (2024). Over the Top (OTT) Market Size, Share, Analysis | 2032. Erişim, 02 Aralık 2024: https://www.expertmarketresearch.com/reports/over-the-top-market
  • Fang, X., Hu, P. J.-H., Chau, M., Hu, H.-F., Yang, Z., and Sheng, O. R. L. (2012). A data-driven approach to measure web site navigability. Journal of Management Information Systems, 29(2), 173–212.
  • Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
  • Fortune Business Insights. (2024). Over The Top [OTT] Services Market SIZE | REPORT, 2032. Erişim, 02 Aralık 2024: https://www.fortunebusinessinsights.com/industry-reports/over-the-top-services-market-100506
  • Gefen, D., Karahanna, E., and Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
  • Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications.
  • Hall, J. A. (2016). When is social media use social interaction? Defining mediated social interaction. New Media and Society, 20(1), 162–179.
  • Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
  • Henseler, J., Ringle, C. M., and Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics and P. N. Ghauri (Eds.), Advances in International Marketing (pp. 277–319). Leeds: Emerald Group Publishing Limited.
  • Hou, F., Guan, Z., Li, B., and Chong, A. Y. L. (2019). Factors influencing people’s continuous watching intention and consumption intention in live streaming: Evidence from China. Internet Research, 29(6), 1551–1573.
  • Hwang, I. (2024). Mitigation of Lock-in and Privacy Concerns for OTT Users: The Role of Service Diversity, Technical Support, and Social Interaction. Journal of Digital Contents Society, 25(5), 1205–1216.
  • Kim, H.-W., Chan, H. C., and Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126.
  • Kuyucu, M. (2015). TV broadcasting in Turkey. The Turkish television audience in the frame of uses and gratification approach. Athens Journal of Mass Media and Communications, 1(4), 289–312.
  • Lin, K. Y., and Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in human behavior, 27(3), 1152-1161.
  • Menon, D. (2022). Purchase and continuation intentions of over-the-top (OTT) video streaming platform subscriptions: A uses and gratification theory perspective. Telematics and Informatics Reports, 5, 100006.
  • Muntinga, D. G., Moorman, M., and Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of Advertising, 30(1), 13–46.
  • Netflix. (2024). Quarterly Earnings Report Q1 2024. Erişim, 02 Aralık 2024: https://ir.netflix.net/financials/quarterly-earnings/default.aspx
  • Palmer, J. W. (2002). Web site usability, design, and performance metrics. Information Systems Research, 13(2), 151–167.
  • Panda, S., and Pandey, S. C. (2017). Binge watching and college students: Motivations and outcomes. Young Consumers, 18(4), 425–438.
  • Schweidel, D. A., and Moe, W. W. (2016). Binge watching: Understanding the drivers of content consumption timing. Journal of Marketing, 80(3), 1–19.
  • Starosta, J. A., and Izydorczyk, B. (2020). Understanding the phenomenon of binge-watching—A systematic review. International Journal of Environmental Research and Public Health, 17(12), 4469.
  • Statista. (2024). OTT Video - Worldwide | Statista Market Forecast. Erişim, 02 Aralık 2024: https://www.statista.com/outlook/amo/media/tv-video/ott-video/worldwide
  • Steiner, E. (2017). Binge-watching motivates change: Uses and gratifications of streaming video viewers challenge traditional TV research. Convergence, 23(4), 361–375.
  • Technavio. (2024). Over The Top (OTT) Market Analysis Size Report 2024-2028. Erişim, 02 Aralık 2024: https://www.technavio.com/report/over-the-top-market-industry-analysis
  • The Business Research Company. (2024). OTT Streaming Global Market Report 2024. Erişim, 02 Aralık 2024: https://www.thebusinessresearchcompany.com/report/ott-streaming-global-market-report
  • Thelwall, M. (2017). TensiStrength: Stress and relaxation magnitude detection for social media texts. Information Processing and Management, 53(1), 106–121.
  • Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
  • Venkatesh, V., Thong, J. Y., and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
  • Whiting, A., and Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362–369.
  • Yaprak, B., and Cengiz, E. (2023). Do Consumers Really Care About Social Media Marketing Activities? Evidence from Netflix’s Turkish and German Followers in Social Media. Ege Academic Review, 23(3), 441–456.y
  • Zhang, P., von Dran, G. M., Small, R. V., and Barcellos, S. (2006). Websites that satisfy users: A theoretical framework for web user satisfaction. Communications of the ACM, 43(12), 107–112.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İletişim Ekonomisi
Bölüm Araştırma Makalesi
Yazarlar

Burak Yaprak 0000-0001-9831-0813

Yayımlanma Tarihi 19 Mart 2025
Gönderilme Tarihi 22 Aralık 2024
Kabul Tarihi 14 Ocak 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 23 Sayı: 56

Kaynak Göster

APA Yaprak, B. (2025). SKIP THE INTRO, BUT DON’T SKIP NETFLIX: WHAT DRIVES TURKISH YOUTH’S CONTINUATION INTENTION?. Yönetim Bilimleri Dergisi, 23(56), 1077-1095. https://doi.org/10.35408/comuybd.1605714

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