Received:
2023-11-15 | Accepted:
2024-02-18 | Published:
2024-03-30
Title
Streaming ahead: technological innovations redefining new product development in the entertainment industry
Abstract
This article delves into the dynamic intersection of technology and innovation within the streaming industry, offering a comprehensive analysis of the evolving landscape of content creation, delivery, and consumption. By scrutinizing the integration of cutting-edge technologies such as artificial intelligence, augmented and virtual reality, and blockchain, the article elucidates how these innovations are revolutionizing the viewer experience. Additionally, exploring emerging trends, including metaverse integration and the increasing demand for live and interactive content, provides critical insights for industry practitioners. As the industry grapples with content overload and the intricacies of revenue models, this article propounds strategic considerations for navigating the evolving streaming landscape. Ultimately, this comprehensive examination illuminates the future trajectory of the streaming industry and underscores the imperative for innovative adaptation.
Keywords
streaming technology, innovation, content personalization, metaverse integration, monetization models
JEL classifications
M10
, O30
, M21
URI
http://jssidoi.org/jesi/article/1173
DOI
Pages
227-237
Funding
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
References
Amazon. (2023). 2022 Letter to Shareholders. https://www.aboutamazon.com/news/company-news/2022-letter-to-shareholders
Search via ReFindit
Awa, N., Solène, M., & Sébastien, J. (2013). Streaming vidéo: Histoire et évolution de l'offre et des usages, M1 Innovation en Communication, Paris. https://hautdeforme.files.wordpress.com/2013/01/analysediachroniquestreaming.pdf
Search via ReFindit
Aydogmus, O., Bingol, M.C., Boztas, G., & Tuncer, T. (2023). An automated voice command classification model based on an attention-deep convolutional neural network for industrial automation system. Engineering Applications of Artificial Intelligence, 126, Part D, 107120 https://doi.org/10.1016/j.engappai.2023.107120
Search via ReFindit
Bahoo, S., Cucculelli, M., & Qamar, D. (2023). Artificial intelligence and corporate innovation: A review and research agenda. Technological Forecasting & Social Change, 188, 122264. https://doi.org/10.1016/j.techfore.2022.122264
Search via ReFindit
Bampis, C.G., & Bovik, A.C. (2018). Feature-based prediction of streaming video QoE: Distortions, stalling and memory. Signal Processing: Image Communication, 68, 218-228. https://doi.org/10.1016/j.image.2018.05.017
Search via ReFindit
Blichfeldt, H., & Faullant, R. (2021). Performance effects of digital technology adoption and product & service innovation – A process-industry perspective. Technovation, 102275. https://doi.org/10.1016/j.technovation.2021.102275
Search via ReFindit
Brown, T., Crainer, S., Dearlove, D. and Rodrigues, J.N. (2008), Business Minds, Bucharest: Publica.
Search via ReFindit
Chalmer, D., Matthews, R, & Hyslop, A. (2021). Blockchain as an external enabler of new venture ideas: Digital entrepreneurs and the disintermediation of the global music industry. Journal of Business Research, 125, 577-59. https://doi.org/10.1016/j.jbusres.2019.09.002
Search via ReFindit
Darwich, M. (2020). A Survey on Cloud-Based Video Streaming Services, Elsevier.
Search via ReFindit
ESPN. (2023). https://www.espn.com/
Search via ReFindit
Fan, H. (2023). Research on innovation and application of 5G using artificial intelligence-based image and speech recognition technologies. Journal of King Saud University – Science, 35, 102626. https://doi.org/10.1016/j.jksus.2023.102626
Search via ReFindit
Farhand, S., & Tsechpenakis, G. (2023). Foreground discovery in streaming videos with dynamic construction of content graphs. Computer Vision and Image Understanding, 227, 103620. https://doi.org/10.1016/j.cviu.2022.103620
Search via ReFindit
Felice, F., Luca, C., Chiara, S., & Petrillo, A. (2023). Physical and digital worlds: implications and opportunities of the metaverse. Procedia Computer Science, 217, 1744-1754. https://doi.org/10.1016/j.procs.2022.12.374
Search via ReFindit
Frade, J.L.H., de Oliveira, J.H.C., & Giraldi, J.M.E. (2021). Advertising in streaming video: An integrative literature review and research agenda. Telecommunications Policy, 45(9), 102186. https://doi.org/10.1016/j.telpol.2021.102186
Search via ReFindit
Greenwald, M. (2014). What Exactly Is Innovation? https://www.forbes.com/sites/michellegreenwald/2014/03/12/what-exactly-is-innovation/#25e1a0f05e5a
Search via ReFindit
Haslam, A., & Forster, T.J. (2022). Amazon Prime Video Review and Prices. https://www.usnews.com/360-reviews/technology/streaming-services/amazon-prime-video
Search via ReFindit
Jeon, H. , Seo, W., Park, E., & Choi, S. (2020). Hybrid machine learning approach for popularity prediction of newly released contents of online video streaming services. Technological Forecasting and Social Change, 161, 120303 https://doi.org/10.1016/j.techfore.2020.120303
Search via ReFindit
Lambrinos, L., & Demetriou, E. (2010). An Adaptive Live Media Streaming Architecture. 2010 Second International Conferences on Advances in Multimedia, Athens, Greece, pp. 74-77. https://doi.org/10.1109/MMEDIA.2010.33
Search via ReFindit
Liang, D. (2023). Artificial intelligence video production platform based on user experience perspective. Procedia Computer Science, 228, 112-118. https://doi.org/10.1016/j.procs.2023.11.014
Search via ReFindit
Liu, H., & Wang, L. (2017). An AR-based Worker Support System for Human-Robot Collaboration. Procedia Manufacturing, 11, 22-30. https://doi.org/10.1016/j.promfg.2017.07.124
Search via ReFindit
Maia, O.B., Yehia, H.C., & Errico, L. (2015). A concise review of the quality of experience assessment for video streaming. Computer Communications, 57, 1-12. https://doi.org/10.1016/j.comcom.2014.11.005
Search via ReFindit
Mariani, M.M., Machado, I., & Nambisan, S. (2023). Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda. Journal of Business Research, 155, Part B, 113364. https://doi.org/10.1016/j.jbusres.2022.113364
Search via ReFindit
McKenzie, J., Crosby,. P., & Shin, S.Y. (2022). Netflix chills and revamps its viewing metrics: Preliminary analysis and opportunities for research. Poetics, 94, 101738. https://doi.org/10.1016/j.poetic.2022.101738
Search via ReFindit
Netflix. (2023). 2023 Proxy Statement. https://ir.netflix.net/financials/annual-reports-and-proxies/default.aspx
Search via ReFindit
Nguyen, T.V., Nguyen, N.P., Kim, C., & Dao, N.N. (2023). Intelligent aerial video streaming: Achievements and challenges. Journal of Network and Computer Applications, 211, 103564. https://doi.org/10.1016/j.jnca.2022.103564
Search via ReFindit
Sarmiento-Calisaya, E., & Leite, J.C.S.P. (2024). Early analysis of requirements using NLP and Petri-nets. Journal of Systems and Software, 208, 111901. https://doi.org/10.1016/j.jss.2023.111901
Search via ReFindit
Shahraki, A., Abbasi, M., Taherkordi, A., & Jurcut, A.D. (2022). A comparative study on online machine learning techniques for network traffic streams analysis. Computer Networks, 207, 108836. https://doi.org/10.1016/j.comnet.2022.108836
Search via ReFindit
Shon, M., Lee, D., & Kim, J.H. (2021). Are global over-the-top platforms the destroyers of ecosystems or the catalysts of innovation? Telematics and Informatics, 60, 101581. https://doi.org/10.1016/j.tele.2021.101581
Search via ReFindit
Silva, J.M.S., & Lima, R.C.D.A (2022). Is Netflix a threat to the cable TV industry? Evidence from Brazil. Telecommunications Policy, 46(3), 102274. https://doi.org/10.1016/j.telpol.2021.102274
Search via ReFindit
Sliwa, P., Krzos, G., & Piwoni-Krzeszowska, E. (2021). Digital Network Twin – Mapping Socio-Economic Networks into the Virtual Reality. Transformations in Business & Economics, Vol. 20, No 2B (53B), pp.989-1004.
Search via ReFindit
Suárez-Cetrulo, A.L., Quintana, D., & Cervantes, A. (2023). A survey on machine learning for recurring concept drifting data streams. Expert Systems with Applications, 213, Part A, 118934. https://doi.org/10.1016/j.eswa.2022.118934
Search via ReFindit
Taleb, T., Benzaid, C., Addad, R.A., & Samdanis, K. (2023). AI/ML for beyond 5G systems: Concepts, technology enablers & solutions. Computer Networks, 237. https://doi.org/10.1016/j.comnet.2023.110044
Search via ReFindit
Tapscott, D., & Tapscott, A. (2018), Blockchain Revolution: How the Technology Behind Bitcoin and Other Cryptocurrencies Is Changing the World, London: Portfolio
Search via ReFindit
Tingley, M., Zheng, W., Ejdemyr, S., Lane, S., McFarland, C., Tendulkar, M., Brooks, T. (2022), 'Netflix: A Culture of Learning', Netflix Technology Blog. https://netflixtechblog.com/netflix-a-culture-of-learning-394bc7d0f94c
Search via ReFindit
Tugui, A., Jeflea, F-V., Opariuc, C., Filipeanu, D., Agheorghiesei, D-T. (2022). Societal Transformations in Romanian Society: Humanity’s Interaction with Artificial Intelligence towards the Technological Singularity. Transformations in Business & Economics, Vol. 21, No 2A (56A), pp.435-461.
Search via ReFindit
Verhulst, I., Woods, A., Whittaker, L., Bennett, J., & Dalton, P. (2021). Do VR and AR versions of an immersive cultural experience engender different user experiences? Computers in Human Behavior, 125, 106951. https://doi.org/10.1016/j.chb.2021.106951
Search via ReFindit
Wilbert, M. (2019). Live Streaming: History, Present, and Future. https://www.dacast.com/blog/the-history-of-live-streaming/
Search via ReFindit