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Yayın Akış Endüstrisinde Rekabet Avantajını Etkileyen Faktörlerin Çok Kriterli Karar Verme Yöntemleriyle İncelenmesi

Year 2022, Volume: 7 Issue: 1, 239 - 252, 30.06.2022

Abstract

Bu çalışmanın amacı; dijital pazarlama yaklaşımlarının sıklıkla kullanıldığı yayın akış platformlarının tercih edilme nedenlerine etki eden faktörlerin ortaya konulmasıdır. Bu doğrultuda “platform özellikleri” ve “platform imajı” ana kriterleri çerçevesinde belirlenen “abone sayısı, minimum ve maksimum aylık ödeme tutarı, Twitter, Instagram, Facebook ve YouTube sosyal medya platformlarındaki takipçi sayısı, PlayStore ve AppStore uygulama puanı ile Şikayetvar.com sitesindeki şikâyet sayısı” alt kriterleri CRITIC yöntemiyle ağırlıklandırılmış daha sonra “Netflix, BluTv, Exxen, Gain, Turkcell TV+, Tivibu, D-Smart, Bein Connect” platformlarına ait veriler CODAS ve PIV yöntemleriyle incelenerek sonuçlar karşılaştırılmıştır. Çalışmanın sonuçları, tüketiciler tarafından yayın akış platformlarının tercih edilmesinde en etkili kriterin “minimum aylık ödeme tutarı” kriteri olduğunu göstermektedir. Ayrıca yapılan analizlerin genel değerlendirmesinde “Netflix” platformunun, diğer yayın akış platformlarına göre daha başarılı olduğu sonucuna ulaşılmıştır.

References

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Investigation Factors Affecting Competitive Advantage in Streaming Industry with Multi-Criteria Decision Making Methods

Year 2022, Volume: 7 Issue: 1, 239 - 252, 30.06.2022

Abstract

The purpose of this study is to determine which factors influence people's preferences for streaming platforms that frequently employ digital marketing techniques. Accordingly, the “number of subscribers, minimum and maximum monthly payment amount, the number of followers on Twitter, Instagram, Facebook and YouTube social media platforms, the PlayStore and AppStore application score, and the number of complaints on the Şikayetvar.com site” were weighted using the CRITIC method as determined within the main framework of "platform features" and "platform image”. This was followed by the analysis of the data belonging to “Netflix, BluTv, Exxen, Gain, Turkcell TV+, Tivibu, D-Smart, Bein Connect” platforms using the CODAS and PIV methods and comparison of the results. According to the study's findings, the "minimum monthly payment amount" criterion is the most effective criterion for consumers when selecting streaming platforms. Furthermore, in the overall evaluation of the analyses carried out, the "Netflix" platform was found to be more successful than other streaming platforms.

References

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  • Ahmad, S., Akber, A., Khan, Z. A., & Ali, M. (2021). Selection of best dispatching rule for job sequencing using combined best–worst and proximity ındex value methods. Advances in Manufacturing and Industrial Engineering, 783-792, https://doi.org/10.1007/978-981-15-8542-5_68.
  • Alashhab, Z. R., Anbar, M., Singh, M. M., Leau, Y.-B., Al-Sai, Z. A., & Alhayja’a, S. A. (2021). Impact of coronavirus pandemic crisis on technologies and cloud computing applications. Journal of Electronic Science and Technology, 19(1), 100059.
  • Angeloni, S., & Rossi, C. (2021). An analytical model for comparing the profitability of competing online marketing channels: Search engine marketing versus e-commerce marketplace. Journal of Marketing Theory and Practice, 29(4), 534-549.
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  • Biswas, S., & Anand, O. P. (2020). Logistics competitiveness ındex-based comparison of BRICS and G7 countries: An integrated PSI-PIV approach. The IUP Journal of Supply Chain Management, 17(2), 32-57.
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  • Choudhary, V., & Mishra, A. (2021). Analyzing the critical success enablers of industry 4.0 using hybrid fuzzy AHP-CoCoSo method. Journal of Industrial Integration and Management, 2150018 https://doi.org/10.1142/S2424862221500184.
  • Das, G., Wiener, H. J., & Kareklas, I. (2019). To emoji or not to emoji? Examining the influence of emoji on consumer reactions to advertising. Journal of Business Research, 96(1), 147-156.
  • Daştan, İ. (2020). Canlı yayın platformlarında ürün marka uygulamaları. OPUS Uluslararası Toplum Araştırmaları Dergisi, 16(28), 1396-1415.
  • Demir, G. (2021). Vakıf üniversitelerinde akademik performans analizi: Critic-Wedba bütünleşik model uygulaması. Uluslararası İktisadi ve İdari Akademik Araştırmalar Dergisi, 1(1), 39-50.
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  • Elkins, E. (2019). Algorithmic cosmopolitanism: on the global claims of digital entertainment platforms. Critical Studies in Media Communication, 36(4), 376-389.
  • Fagerjord, A., & Kueng, L. (2019). Mapping the core actors and flows in streaming video services: What Netflix can tell us about these new media networks. Journal of Media Business Studies, 16(3), 166-181.
  • Faruk, M., Rahman, M., & Hasan, S. (2021). How digital marketing evolved over time: A bibliometric analysis on scopus database. Heliyon, 7(12), e08603.
  • Garbes, J. M., Harnecillo, D. C., Yu, C. A., & Pantoja, E. E. (2022). The effectiveness of Facebook advertisements of subscription-based video-on-demand streaming services to Filipino millennials. Journal of Business and Management Studies, 4(1), 1-7.
  • Gimpel, G. (2015). The future of video platforms: Key questions shaping the TV and video industry. International Journal on Media Management, 17(1), 25-46.
  • Grover, P., Kar, A. K., & Dwivedi, Y. K. (2020). Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions. Artificial Intelligence in Operations Management, 308(1), 177-213.
  • Guercini, S., Bernal, P. M., & Prentice, C. (2018). New marketing in fashion e-commerce. Journal of Global Fashion Marketing, 9(1), 1-8.
  • Haan, E. D., Wiesel, T., & Pauwels, K. (2016). The effectiveness of different forms of online advertising for purchase conversion in a multiple-channel attribution framework. International Journal of Research in Marketing, 33(3), 491-507.
  • Herhausen, D., Miočević, D., Morgan, R. E., & Kleijnen, M. H. (2020). The digital marketing capabilities gap. Industrial Marketing Management, 90(1), 276-290.
  • Hracs, B. J., & Webster, J. (2021). From selling songs to engineering experiences: exploring the competitive strategies of music streaming platforms. Journal of Cultural Economy, 14(2), 240-257.
  • Iacobucci, D., Petrescu, M., Krishen, A., & Bendixen, M. (2019). The state of marketing analytics in research and practice. Journal of Marketing Analytics, 7(1), 152-181.
  • Jung, S. H., & Jeong, Y. J. (2020). Twitter data analytical methodology development for prediction of start-up firms’ social media marketing level. Technology in Society, 63(1), 101409.
  • Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in Social Media Research: Past, Present and Future. Information Systems Frontiers, 20(1), 531-558.
  • Keshavarz-Ghorabaee, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research, 50(3), 25-44.
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  • Khoa, B. T. (2020). The antecedents of relationship marketing and customer loyalty: A case of the designed fashion product. The Journal of Asian Finance, Economics and Business, 7(2), 195-204.
  • Ki, C.-W., Cuevas, L. M., Chong, S. M., & Lim, H. (2020). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results by fulfilling needs. Journal of Retailing and Consumer Services, 55(1), 102133.
  • Kim, J., Kang, S., & Lee, K. H. (2021). Evolution of digital marketing communication: Bibliometric analysis and network visualization from key articles. Journal of Business Research, 130(1), 552-563.
  • Kim, K. H. (2021). Digital and social media marketing in global business environment. Journal of Business Research, 131(1), 627-629.
  • Kim, Y.-J., & Kim, B.-Y. (2020). The purchase motivations and continuous use intention of online subscription services. International Journal of Management, 11(11), 196-207.
  • Krikke, J. (2014). Streaming video transforms the media industry. IEEE Computer Graphics and Applications, 24(4), 6-12.
  • Ko, E. (2019). Bridging Asia and the world: Global platform for the Interface between marketing and management. Journal of Business Research, 99(1), 350-353.
  • Krishen, A. S., Dwivedi, Y. K., Bindu, N., & Kumar, K. S. (2021). A broad overview of interactive digital marketing: A bibliometric network analysis. Journal of Business Research, 131(1), 183-195.
  • Kritzinger, W. T., & Weideman, M. (2013). Search engine optimization and pay-per-click marketing strategies. Journal of Organizational Computing and Electronic Commerce, 23(3), 273-286.
  • Li, B., Wang, Z., Liu, J., & Zhu, W. (2013). Two decades of internet video streaming: A retrospective view. ACM Transactions on Multimedia Computing, Communications, and Applications, 9(1), 1-20.
  • Lies, H. J. (2019). Marketing intelligence and big data: Digital marketing techniques on their way to becoming social engineering techniques in marketing. International Journal of Interactive Multimedia & Artificial Intelligence, 5(5), 134-144.
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There are 78 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Emrah Sıtkı Yılmaz 0000-0003-2741-4222

Orhan Ecemiş 0000-0002-8270-0857

Publication Date June 30, 2022
Published in Issue Year 2022 Volume: 7 Issue: 1

Cite

APA Yılmaz, E. S., & Ecemiş, O. (2022). Investigation Factors Affecting Competitive Advantage in Streaming Industry with Multi-Criteria Decision Making Methods. JOEEP: Journal of Emerging Economies and Policy, 7(1), 239-252.

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