Academic literature on the topic 'Music streaming services'
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Journal articles on the topic "Music streaming services"
DROTT, ERIC A. "Music as a Technology of Surveillance." Journal of the Society for American Music 12, no. 3 (July 10, 2018): 233–67. http://dx.doi.org/10.1017/s1752196318000196.
Full textNetti, S. Yollis Michdon, and Irwansyah Irwansyah. "Spotify: Aplikasi Music Streaming untuk Generasi Milenial." Jurnal Komunikasi 10, no. 1 (July 31, 2018): 1. http://dx.doi.org/10.24912/jk.v10i1.1102.
Full textSesigür, Onur. "How to approach collecting music on streaming services." Interactions: Studies in Communication & Culture 11, no. 1 (April 1, 2020): 65–74. http://dx.doi.org/10.1386/iscc_00006_1.
Full textLüders, Marika, Vilde Schanke Sundet, and Terje Colbjørnsen. "Towards streaming as a dominant mode of media use?" Nordicom Review 42, no. 1 (January 1, 2021): 35–57. http://dx.doi.org/10.2478/nor-2021-0011.
Full textNoor, Muhammad Usman, and Wihdah Askariyyah. "Improving Music Streaming Services Through Metadata: Case Study from JOOX Indonesia." Record and Library Journal 7, no. 1 (June 29, 2021): 125–33. http://dx.doi.org/10.20473/rlj.v7i1.116.
Full textChang, Victor, Yifan Yang, Qianwen Ariel Xu, and Chang Xiong. "Factors Influencing Consumer Intention to Subscribe to the Premium Music Streaming Services in China." Journal of Global Information Management 29, no. 6 (November 2021): 1–25. http://dx.doi.org/10.4018/jgim.20211101.oa17.
Full textMasdaner, Reynanta, and Poppy Ruliana. "Electronic Word Of Mouth Dan Brand Image Dalam Minat Beli Layanan Aplikasi Musik Spotify." Ganaya : Jurnal Ilmu Sosial dan Humaniora 4, no. 2 (September 10, 2021): 356–73. http://dx.doi.org/10.37329/ganaya.v4i2.1323.
Full textChen, Charlie C., Steven Leon, and Makoto Nakayama. "Are You Hooked on Paid Music Streaming?" International Journal of E-Business Research 14, no. 1 (January 2018): 1–20. http://dx.doi.org/10.4018/ijebr.2018010101.
Full textThomes, Tim Paul. "An economic analysis of online streaming music services." Information Economics and Policy 25, no. 2 (June 2013): 81–91. http://dx.doi.org/10.1016/j.infoecopol.2013.04.001.
Full textAmanda, Rissa. "Music streaming dalam industri musik era industri 4.0." Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies) 6, no. 1 (March 20, 2022): 358–82. http://dx.doi.org/10.25139/jsk.v6i1.3772.
Full textDissertations / Theses on the topic "Music streaming services"
Nilsson, Billy. "Music Streaming : Services, functions and users." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-29297.
Full textAhmed, Kachkach. "Analyzing user behavior and sentiment in music streaming services." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186527.
Full textDe senaste åren har strömningtjänster (för musik, podcasts, TV-serier och filmer) varit i strålkastarljuset genom att förändra synen på hur vi konsumerar media. Om det tekniska impikationerna av att strömma stora mängder data är väl utforskat finns det mycket kvar i att analysera de stora datamängderna som samlas in för att förstå och förbättra tjänsterna. Genom att använda rådata om hur användarna interagerar med musiktjänsten Spotify, fokuserar den här uppsatsen på tre huvudkoncept: strömmandets kontext, användares uppmäksamhet samt sekvensiell analys av användares handlingar. Vi diskuterar betydelsen av varje koncept och föreslår en olika statistiska och maskininlärningstekniker för att modellera dem. Vi visar hur dessa modeller kan användas för att förbättra strömmningstjänster genom att antyda användares sentiment, förbättra rekommendationer, karaktärisera användarsessioner, extrahera betendemönster och ta fram användbar affärsdata.
Delikan, Mehmet Deniz. "Changing Consumption Behavior of Net Generation and the Adoption of Streaming Music Services : Extending the Technology Acceptance Model to Account for Streaming Music Services." Thesis, Jönköping University, JIBS, Business Administration, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-12519.
Full textThe rise of the streaming music services and the decreasing importance of physical distribution is an inevitable change that the industry has been facing, which is resulting from the so-called internet revolution over the past few years. Through years, the music business has already shifted to online platform with the birth of file sharing. Today, a generation who had grown up digital came to age. Members of this generation have different consumption habits than before, and have different motives toward consumption.
The consumer behavior of this group was examined at different stages of the digital revolution during last decade. However, although there is a wide number of researches have examined online consumer behavior and the adoption file-sharing technologies, no study investigated the use of streaming music services. Therefore, in order to understand the changing consumption behavior of the net generation music consumers, and to under-stand the use of streaming music services, this study extends the Technology Acceptance Model (TAM) to account the streaming music services. A questionnaire based empirical study was administrated among the users of Sweden based streaming music service Spotify. Results confirm that there is a significant relationship between users‟ perceived usefulness of service use, and their attitude toward using and their behavioral intention to use. In addition, it is also confirmed by the results that advertisement/charge, flow, and social influence are effective in explaining the motives of users‟, and the use of streaming music services. Furthermore, according to the findings of the study streaming music services have a positive effect on decreasing the music piracy.
Sporrong, Klara. "Optimizing Accessibility in Music Streaming Services : Research on how to provide access to music for the visually impaired." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-136019.
Full textNiu, Dandan. "La consommation de musique dans un écosystème." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEM008/document.
Full textFor decades, France has imposed quotas for Francophone music. Radio stations need to reserve a minimum percentage of total song plays for French-language songs since 1996. The development of streaming services, which faces no quotas, has changed how we listen to music and poses a new challenge to regulators. The applicability of quotas is increasingly difficult in the radio broadcasting industry and raises the question of competitive disadvantage. In this thesis, I try to answer three main issues on the topic of music consumption in this changing ecosystem. First, I empirically examine the strategic responses of French radio stations to quotas for Francophone music. Do stations comply with the quotas? Is the realized audience for Francophone music lower than it would be in the absence of these strategic responses? To answer these questions, I use detailed data on the playlists of major radio stations in France to show that stations have some scope for adjusting their playlists subject to the quota constraints. Second, I build a dataset to provide some descriptive evidence on radio and streaming services. These are entirely different economic models, and are not comparable without adjusting the dataset to reflect the differences. In order to compare the audience number of music titles on radio stations with the number of streams on streaming services, I develop a methodology to combine radio data with streaming data in France in 2016. Third, using this novel dataset, I look at music consumption pattern and music variety on streaming services compares to that of radio. I also provide empirical evidence on the consumption externalities of both markets
Furrer, Riccardo, Matilda Johansson, and My Larsson. "Att inte följa strömmen : En studie om differentiering bland musikstreamingtjänster." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-38754.
Full textThe purpose of this study is to analyze in which ways digital music subscription services may differentiate themselves from one another on the Swedish digital music market. We also want to examine how the companies providing these services can position themselves on the Swedish market by looking at what consumers of these kinds of services look for in a digital music service. To find answers we have decided to try to answer one question: How can companies behind digital music subscription services position themselves on the Swedish music market? For this study we have used a qualitative approach where we have conducted three personal interviews with people who are involved daily, in one way or another, with digital music streaming services. We also had focus groups with music service users and a few interviews with consumers. We chose this approach to get a deeper look into what customers want out of a service that offers music.By analyzing the empirical and theoretical data we could find a bond between reality and theory, which could be connected to the digital music market. It became particularly clear that customer need is the biggest importance for the service to fulfill its purpose. For this to be in the most way possible, the company must aim towards similar customer needs by creating segments in the market. These segments should be constructed trough an analysis of the customersand then separated by aspects based on lifestyle, age or consumer behavior. We have been analyzing customer needs and assumptions of music services. The results helped us create a picture of an ideal differentiation strategy of the Swedish digital music market.
Häkkä, Max, and Ah Zau Marang. "Gränssnittsanalys av två olika musiktjänster." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189148.
Full textThe music market has changed considerably in recent years and streaming has become one of the most popular ways to listen to music today. Many new streaming services have appeared and tens of millions of people use these today (Borja et al., 2015). Usability is important in order for users to be able to use these services in a satisfactory manner. This study examines two different music service interfaces from a usability perspective. 20 students from KTH answered a questionnaire about their prior use of music services. Afterwards the students participated in a Think Aloud study where they performed a number of tasks on services and where we additionally measured the efficiency by taking the time, in addition to calculating the number of clicks for each task. Finally, students were asked to answer a number of questions in a brief interview. The study shows that while both services had features that fared better in the study than for the other service, they were very similar when it came to usability.
Štěpánková, Lucie. "Možnosti využití nástrojů digitálního marketingu v hudebním průmyslu." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192808.
Full textDaly, James. "Brand management vybrané značky." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2015. http://www.nusl.cz/ntk/nusl-234354.
Full textBennett, James. "Strategies for Achieving Profitability in the Music Streaming Service Business Model." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/6170.
Full textBooks on the topic "Music streaming services"
Werner, Ann. Digitally Mediated Identity in the Cases of Two Sámi Artists. Edited by Fabian Holt and Antti-Ville Kärjä. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190603908.013.21.
Full textBook chapters on the topic "Music streaming services"
Nowak, Raphaël, and Benjamin A. Morgan. "New Model, Same Old Stories?" In Music and Democracy, 61–84. Vienna, Austria / Bielefeld, Germany: mdwPress / transcript Verlag, 2021. http://dx.doi.org/10.14361/9783839456576-003.
Full textChang, Ying-Han, and Muh-Chyun Tang. "Serendipity with Music Streaming Services: The Mediating Role of User and Task Characteristics." In Transforming Digital Worlds, 435–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78105-1_48.
Full textSánchez-Moreno, Diego, María N. Moreno-García, Nasim Sonboli, Bamshad Mobasher, and Robin Burke. "Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services." In Lecture Notes in Computer Science, 39–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92639-1_4.
Full textKim, Changkeun, Byungjoon Yoo, and Jaehwan Lee. "Who Picks Cherries? Understanding Consumers’ Cherry Picking Behavior in Online Music Streaming Services." In Lecture Notes in Business Information Processing, 115–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-67781-7_11.
Full textKnees, Peter. "Scaling Up Broken Systems? Considerations from the Area of Music Streaming." In Perspectives on Digital Humanism, 165–71. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86144-5_23.
Full textSánchez-Moreno, Diego, Ana B. Gil González, M. Dolores Muñoz Vicente, Vivian López Batista, and María N. Moreno-García. "Recommendation of Songs in Music Streaming Services: Dealing with Sparsity and Gray Sheep Problems." In Advances in Intelligent Systems and Computing, 206–13. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61578-3_21.
Full textHu, Xiao, Ira Keung Kit Tam, Meijun Liu, and J. Stephen Downie. "Music Artist Similarity: An Exploratory Study on a Large-Scale Dataset of Online Streaming Services." In Transforming Digital Worlds, 378–83. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78105-1_41.
Full textWerner, Ann. "Gendering and music streaming: Discourse and algorithms on a music streaming service." In Jahrbuch für Musikwirtschafts- und Musikkulturforschung, 9–24. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29706-0_2.
Full textJovanovska, Lidija, Bojan Evkoski, Miroslav Mirchev, and Igor Mishkovski. "Demographic Analysis of Music Preferences in Streaming Service Networks." In Complex Networks XI, 233–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40943-2_20.
Full textDanckwerts, Sebastian, Helena Maria Lischka, and Peter Kenning. "Freemium Service Business Models – Eine empirische Analyse der Akzeptanz von kostenpflichtigen Musik-Streaming-Diensten." In Service Business Development, 235–60. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-22424-0_11.
Full textConference papers on the topic "Music streaming services"
REN, Jing, Robert Kauffman, and Dave King. "Two-Sided Value-Based Music Artist Recommendation in Streaming Music Services." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2019. http://dx.doi.org/10.24251/hicss.2019.323.
Full textHung, Chih-Cheih, Chun-Yu Kuo, Hui-Huang Hsu, and Yian Chen. "Identifying Niche Singers in Online Music Streaming Services." In 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech). IEEE, 2018. http://dx.doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00065.
Full textWeinberger, Maor, and Dan Bouhnik. "The Emergence of Music Streaming Applications and Its Effect on Changes in Personal Information Management and Privacy Related Issues [Abstract]." In InSITE 2020: Informing Science + IT Education Conferences: Online. Informing Science Institute, 2020. http://dx.doi.org/10.28945/4523.
Full text"Usage Habits in Music Streaming Applications and Their Influence on Privacy Related Issues [Research in Progress]." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4272.
Full textRaff, Andreas, Andreas Mladenow, and Christine Strauss. "Music Discovery as Differentiation Strategy for Streaming Providers." In iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3428757.3429151.
Full textCheng, Zhiyong, Jialie Shen, Lei Zhu, Mohan Kankanhalli, and Liqiang Nie. "Exploiting Music Play Sequence for Music Recommendation." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/511.
Full textMogale, Hope, and M. B. Esiefarienrhe. "Optimizing Recommendation Algorithms Using Self-Similarity Matrices for Music Streaming Services." In 2021 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD). IEEE, 2021. http://dx.doi.org/10.1109/icabcd51485.2021.9519370.
Full textJain, Goonjan, Manish Wadhwani, Sohang Lal, and Tarun Verma. "Expert based Recommendation system using Community detection in Online Music Streaming services." In 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2021. http://dx.doi.org/10.1109/iccmc51019.2021.9418374.
Full text"INDIVIDUAL'S INTENTION TO SUBSCRIBE TO FREEMIUM MUSIC STREAMING SERVICES: A CONCEPTUAL FRAMEWORK." In International Conferences on ICT, Society and Human Beings (ICT 2020), Connected Smart Cities (CSC 2020) and Web Based Communities and Social Media (WBC 2020). IADIS Press, 2020. http://dx.doi.org/10.33965/ict_csc_wbc_2020_202008c029.
Full textSretenovic, Miodrag, Bozidar Kovacic, and Aleksandar Skendzic. "The platform for the content exchange between Internet music streaming services and discographers." In 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2017. http://dx.doi.org/10.23919/mipro.2017.7973644.
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