Examining the continuous usage intention and behaviours of music streaming subscribers

2022 ◽  
Vol 17 (2) ◽  
pp. 1
Author(s):  
Phaik Nie Chin ◽  
Shih Yee Yeoh ◽  
Xavier J. P. Yuntavid
2018 ◽  
Vol 11 (1) ◽  
pp. 81-100
Author(s):  
Joo Hee Lee ◽  
◽  
Young Doc Seo
Keyword(s):  

India is a very vast market for internet services as it has over 480 million active internet users in the country. Music streaming services in India is emerging day by day. The competition in the market is so high that even two giants Jio Music and Saavn join their hand in 2018 to provide a combine service all across the globe. In, 2019 a global giant Spotify entered into music streaming market in India and affected the each music service in India. Gaana owned by Times Internet have over 150 million active monthly users in the country while JioSaavn reported 100 million active monthly users as per a website. This research is going to study the market capture of various music streaming services in India. Currently, as per the research, Spotify is the most popular streaming service. As per the literature available on various platforms other streaming services were holding the major proportion of the Indian market but after the launch of Spotify, it became most loved streaming service. The research is being done to find out the existing music streaming services are affected by the entrance of Spotify or not


2019 ◽  
Author(s):  
Mark Van Buladaco ◽  
Garri Mikhail Aguirre ◽  
Joshua Manito ◽  
Alexis Soliman ◽  
El Christian Villareal

2020 ◽  
Vol 12 (17) ◽  
pp. 7081 ◽  
Author(s):  
Athapol Ruangkanjanases ◽  
Shu-Ling Hsu ◽  
Yenchun Jim Wu ◽  
Shih-Chih Chen ◽  
Jo-Yu Chang

With the growth of social media communities, people now use this new media to engage in many interrelated activities. As a result, social media communities have grown into popular and interactive platforms among users, consumers and enterprises. In the social media era of high competition, increasing continuance intention towards a specific social media platform could transfer extra benefits to such virtual groups. Based on the expectation-confirmation model (ECM), this research proposed a conceptual framework incorporating social influence and social identity as key determinants of social media continuous usage intention. The research findings of this study highlight that: (1) the social influence view of the group norms and image significantly affects social identity; (2) social identity significantly affects perceived usefulness and confirmation; (3) confirmation has a significant impact on perceived usefulness and satisfaction; (4) perceived usefulness and satisfaction have positive effects on usage continuance intention. The results of this study can serve as a guide to better understand the reasons for and implications of social media usage and adoption.


2020 ◽  
Vol 6 (2) ◽  
pp. 205630512093329
Author(s):  
Robert Prey

Where does the “power” of platformization reside? As is widely recognized, platforms are matchmakers which interface between different markets or “sides.” This article analyzes platform power dynamics through three of the most important markets that Spotify—the leading audio streaming platform—is embedded within: the music market; the advertising market; and the finance market. It does so through the lens of the playlist. Playlists can be seen as a central example of how platforms like Spotify employ curation or “curatorial power” to mediate markets in the attempt to advance their own interests. At the same time, playlists are an outcome of the conflicting pressures and tensions between these markets. As such, they provide a lens through which to view broader structural dynamics within the platform economy. As this case study of Spotify demonstrates, platform “power” is an always unstable and shifting outcome of the ongoing attempt to coordinate between various markets and actors.


Author(s):  
Christian Hansen ◽  
Rishabh Mehrotra ◽  
Casper Hansen ◽  
Brian Brost ◽  
Lucas Maystre ◽  
...  
Keyword(s):  

Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 141
Author(s):  
Chun-Hsiung Huang

This research explores the factors that influence students’ continuous usage intention regarding online learning platforms from the perspectives of social capital, perceived usefulness, and perceived ease of use. The questionnaire survey method was used in the research to analyze the relationship between the research variables and verify the hypothesis based on data from 248 collected valid questionnaire responses. The following results were obtained: (1) “Social interaction ties” positively affect students’ continuous usage intention. (2) “Shared language” negatively affects students’ continuous usage intention. (3) “Shared vision” positively affects students’ continuous usage intention. (4) “Perceived usefulness” positively affects students’ continuous usage intention. (5) “Perceived ease of use” positively affects students’ continuous usage intention. According to the results, students believe in useful teaching that promotes knowledge and skills. The ease of use of learning tools is key to whether they can learn successfully. Paying attention to the interaction and communication between students, so that students have a shared goal and participate in teamwork, is something that teachers must pay attention to in the course of operation. The professional vocabulary of the teaching content and the way of announcing information should avoid using difficult terminology, which is also a point to which teachers need to pay attention.


2021 ◽  
Vol 13 (14) ◽  
pp. 7619
Author(s):  
Run-Ze Wu ◽  
Xiu-Fu Tian

Due to the outbreak of COVID-19, many people have to accept remote working. However, as COVID-19 has been effectively controlled in China, remote office services provided by enterprise social networks (ESNs) is no longer a necessary choice of users. There has not yet been any referential research for ESN enterprises concerning how to encourage users willing to use ESNs continuously. Therefore, the purpose of this research is to identify the critical factors of ESN continuous usage intention to make up the research gap of ESN continuous usage intention and to help enterprises address the issue of sustained growth. This research combines elements of the task technology fit (TTF) model and D&M information systems success (ISS) model, explaining the continuous usage intention of ESN users. The empirical analysis results are based on the sample data of 668 Chinese respondents with experience in ESNs use and analyzed using structural equation modeling (SEM). Results show that task technology fit, performance expectancy and the satisfaction degree have a significant influence on continuous usage intention of ESNs. The research findings can provide the theoretical basis for sustained development and follow-up research of the ESN industry.


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