Market Capture of Music Streaming Services in India

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

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0

This study investigates the causes impacting the consumers' intention of the premium music streaming services' subscription in China. An integrated model called the Theory of Streaming Service Acceptance (TSSA) is proposed to explain and predict premium music streaming service subscription behaviors. The TSSA consists of four constructs: attitude, descriptive norm, injunctive norm and perceived behavioral control. The research data was collected in the form of an online survey in China with 120 respondents. Then, interviews were conducted to collect qualitative data from 20 participants. An explanatory sequential mixed method was implemented and the PLS-SEM technique was used to analyze the survey data. The results showed that all constructs in modified research mode, including attitude, injunctive norm and perceived behavioral control except descriptive norm, are indicative predictors for a person’s intention toward premium music streaming services’ subscription. Significant practical inspirations from the perspective of music streaming services providers are also summarized.


2021 ◽  
Vol 29 (6) ◽  
pp. 0-0

This study investigates the causes impacting the consumers' intention of the premium music streaming services' subscription in China. An integrated model called the Theory of Streaming Service Acceptance (TSSA) is proposed to explain and predict premium music streaming service subscription behaviors. The TSSA consists of four constructs: attitude, descriptive norm, injunctive norm and perceived behavioral control. The research data was collected in the form of an online survey in China with 120 respondents. Then, interviews were conducted to collect qualitative data from 20 participants. An explanatory sequential mixed method was implemented and the PLS-SEM technique was used to analyze the survey data. The results showed that all constructs in modified research mode, including attitude, injunctive norm and perceived behavioral control except descriptive norm, are indicative predictors for a person’s intention toward premium music streaming services’ subscription. Significant practical inspirations from the perspective of music streaming services providers are also summarized.


2021 ◽  
Author(s):  
Hans Christian Yulianto ◽  
Augustinus Nicolaas Hillebrandes Oroh

The use of music streaming services has been proliferating all around the world, including in Indonesia. While being a leader in music streaming service, Spotify is not at their top performance lately due to having reached the maturity stage, and even shows a decline in the percentage of paid users as compared to the total users. Their growth has also slowed in the past five years. Strategic marketers claim that companies need to fully understand the needs of the consumers to create suitable products and therefore grow their company, and failure to do so is creating marketing myopia and problems. This research was done to find out the effect of social value, value for money, app rating, and enjoyment on the intention to purchase Spotify, specifically the premium version of Spotify. The sample was Spotify users who had been using Spotify for at least one month (both free and premium), aged at least 13 years old, who had a smart device, and were domiciled in Surabaya, Indonesia. 135 samples were used. All independent variables positively and significantly affected the dependent variable, both individually and as a whole. The most dominant factor was the value for money, followed by enjoyment, app rating, and finally, social value. The findings can be used to develop strategies to help improve the performance of freemium businesses, including Spotify. Keywords: app rating, enjoyment, music streaming, purchase intention, social, technology, value for money


Author(s):  
Ann Werner

This chapter explores identity issues in commercial streaming services, which have grown steadily in the 2010s to become the dominant form of music consumption in the Nordic countries, with about 60% of all Internet users in 2015. The chapter offers an alternative to the dominant trend in music industry studies by focusing not on the industry’s interests but instead on broader cultural issues. The chapter presents case studies of two female Sámi artists and their representations on Spotify, YouTube, MySpace, and artists’ websites, taking various aspects of the services into account, including the interface and the algorithm-based recommendations. Informed by feminist cultural studies, the argument is that the industry continues a history of reinforcing stereotypes of ethnicity, indigeneity, and femininity. Thus, commercial streaming is not only making music available to global audiences, it is also selling images of Otherness within an unequal capitalist global media system.


2018 ◽  
Vol 14 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Charlie C. Chen ◽  
Steven Leon ◽  
Makoto Nakayama

The proliferation of free on-demand music streaming services (e.g., Spotify) is offsetting the traditional revenue sources (e.g., purchases of downloads or CDs) of the music industry. In order to increase revenue and sustain business, the music industry is directing its efforts toward increasing paid subscriptions by converting free listeners into paying subscribers. However, most companies are struggling with these attempts because they lack a clear understanding of the psychological and social purchase motivations of consumers. This study compares and contrasts the two different phases of Millennial generation consumer behaviors: the alluring phase and the hooking phase. A survey was conducted with 73 paying users and 163 non-paying users of on-demand music streaming services. The authors' data analysis shows two separate behavioral dynamics seen between these groups of users. While social influence and attitude are primary drivers for the non-paying users in the alluring phase, facilitating conditions and communication control capacity play critical roles for the paying users in the hooking phase. These results imply that the music industry should apply different approaches to prospective and current customers of music streaming services.


Author(s):  
Minoru Yoshida ◽  
Shogo Kohno ◽  
Kazuyuki Matsumoto ◽  
Kenji Kita

We propose a new music artist recommendation algorithm using Twitter profile texts. Today, music recommendation is provided in many music streaming services. In this paper, we propose a new recommendation algorithm for this music recommendation task. Our idea is to use Twitter profile texts to find appropriate artist names to recommend. We obtained word embedding vectors for each artist name by applying word2vec algorithm to the corpus obtained by collecting such user profile texts, resulting in vectors that reflect artist co-occurrence in the profile texts.


2020 ◽  
Vol 8 (2) ◽  
pp. 403-425
Author(s):  
Nisa Yıldırım

Comedy has always been one ofthe most popular genres in Turkish cinema and television series. As the distinction between film and series has begun to blur in the post-television era, narratives are transforming according to the characteristics of the new medium. Streaming services targeting niche audience offer more freedom to creators of their content.Thisarticle aims tostudy the comedy series Bartu Ben (Its me, Bartu)which is one of the original series of Turkish streaming service Blu TV, in orderto interpret the differences ofthe series from traditional television comedies, and contributionof streaming servicesto the transformation of the genre.


2017 ◽  
Vol 25 (4) ◽  
pp. 16-31 ◽  
Author(s):  
Anand Vyas ◽  
Sachin Gupta

The core aim of this research paper is to analyze the challenges faced by an E-commerce industry in India. The Indian Economy is proliferating day by day and E- commerce industry is playing an imperative and laudable role in its progress. Still there are enormous sectors that have been untouched by an E-commerce industry in India, particularly in its rural areas. Many consumers in India still follow the traditional purchasing method. Unfortunately, altering customer perception of online shopping has been quite a tough task for the E-commerce industry. According to a survey, India is ranked fourth in the world for its number of Internet users. So, it is expected that India would come into the top 10 E-commerce hub by 2020. Indian buyers are afraid to use new technology in its Initial stage. But, if an E-commerce company could provide proper feedback and knowledge to its customers for online purchasing, it would directly help to increase the sales of the E-commerce websites. This research paper gives a theoretical contribution for analyzing the hurdles in front of the E-commerce industry.


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