Digital Music Streaming Research Articles

Implementation of Validity and Reliability Tests on Service Satisfaction Levels of the Spotify Application Using SPSS Software

Spotify is a legal digital music application widely used for online streaming, especially popular among students. This popularity provides a solid foundation for conducting a case study on user satisfaction levels with Spotify in Indonesia. The research employs a questionnaire to collect data, which is subsequently tested for validity and reliability using SPSS software. The results indicate that several variables, such as improved user experience, user-friendly interface, useful features, and fast performance, have high validity values, with significance levels below 0.05. These variables exceed the r-table, with values ranging from 0.5 to 0.904. In cases where any variable is found invalid, retesting will be conducted to ensure the data is valid. Reliability testing produced a Cronbach's alpha coefficient of 0.772, demonstrating that the data used in this study is reliable, as it exceeds the acceptable threshold of 0.6. Therefore, this research provides valuable insights into user satisfaction levels regarding Spotify's services in Indonesia, making it a trustworthy resource for understanding user experiences and areas for improvement within the application. Overall, the findings contribute to a deeper understanding of user preferences and satisfaction in the digital music streaming landscape.

Satisfied But No Payment: The Impact of Perceived Value on Continuance Intention and Purchase Intention in Music Streaming Services

The prevalence of digital music streaming has changed the way people listen to music. Over the past few years, digital music has developed, and streaming music over the Internet is a popular way people listen to music. While many reports focus on digital music and music piracy innovations, only a few applications in economic analysis in terms of the customer's willingness to pay for music services should be considered, especially in Thailand, where the country's digital infrastructure has been developing. This study presents the factors influencing perceived value and purchase intention towards music streaming in Thailand with an extended technology acceptance model and a deep understanding of users’ perceived value, satisfaction, and continuance intention in the Thai context. The research investigates future purchase intentions among freemium and premium users, providing a comprehensive view of potential consumer behavior in the music streaming market. The proposed model was empirically evaluated using an online questionnaire-based survey of 443 respondents about the perceived use of music streaming services in Thailand. Structural Equation Modelling (SEM) technique was used to analyze the data. The results indicated that perceived usefulness, perceived ease of use, and perceived enjoyment were directly and positively correlated with perceived value. Besides, perceived value was directly and positively correlated with satisfaction, continuance intention, and purchase intention. Regardless, satisfaction and continuance intention could not predict purchase intention significantly. In the Thai context, consumer satisfaction and continuance intention with music streaming in Thailand are not a good driving factor in suggesting purchase intention. Furthermore, music streaming content, users’ emotional responses, and feelings play a crucial role in the decision to use and subscribe. The results provided further insight into music application market trends and built an understanding of Thai music consumer behavior.

A Comparative Analysis of Copyright Laws Governing Music Streaming in Zambia, Kenya, and the United States

Purpose: To evaluate the adequacy of Zambia's domestic copyright law in protecting digital songs and their creators within the context of modern music streaming platforms. Methodology: A qualitative desk research approach was employed, analyzing existing Zambian copyright legislation and comparing it to relevant laws in Kenya and the United States. Findings: The study found that Zambia's copyright law is ill-equipped to protect digital songs and their creators in the digital age. The law does not explicitly address digital music streaming, leaving artists and copyright owners vulnerable to exploitation. Furthermore, the law's ambiguity regarding digital reproduction can hinder the effective enforcement of copyright rights. Unique contribution to theory, practice and policy: This study contributes to the understanding of copyright protection challenges in developing countries, particularly in the context of digital music. Its findings and recommendations offer valuable insights for policymakers and legal professionals seeking to improve copyright frameworks in Africa.

Young consumers' online experiential consumption behavior of foreign contemporary music: generational and gender differences in the refined stimulus-organism-response theory

PurposeThis study aims to examine the younger generations’ experiential consumption of foreign contemporary music online (i.e. digital music streaming services) by generation and gender in the US market.Design/methodology/approachThe author proposes a sequential experiential consumption model by applying Jacoby’s refined stimulus-organism-response (S-O-R) theory to better understand the experiential sequences in foreign music consumption among young generations in the US market. The proposed model, using structural equation modeling (SEM), examines a cognitive permeable role and a hierarchical affective mediating role. Also, moderating roles of generation and gender are simultaneously tested in overall and specific causal relationships.FindingsThe refined S-O-R framework is superior to a linear one in better understanding young consumers’ online experiential foreign music consumption behavior. Moreover, hierarchical sequenced affective organismic behavior is crucial to enhance young consumers’ online music consumption experiences to regulate subsequent behavioral responses. Furthermore, gender differences but no generational differences exist in the experiential consumption process among young consumers. Nevertheless, the strength of S-O-R factors affecting experiential consumption seems idiosyncratic simultaneously in gender and generation.Practical implicationsThe study suggests foreign music streaming services boost profitability by focusing on young consumers' psychological ownership and tailored experiences, encouraging a shift from freemium to premium subscriptions. Also, the findings recommend adopting phygital experiences using technologies like AR, VR and MR to enhance engagement and create unique, emotionally resonant experiences for young consumers, thus fostering a more profitable business model.Originality/valueThe authors address under-researched topics relevant to young generations by applying Jacoby’s refined S-O-R framework to foreign music consumption through online streaming. This approach delves into a lesser-explored consumer behavior framework, highlighting young generations’ musical trends. The model reveals cognitive and affective roles, offering advantages over traditional linear S-O-R models. It also uniquely incorporates the moderating effects of generation and gender in music consumption studies, addressing a gap in music-related studies.

The Impact Of Spotify Advertisements On Free Accounts To Purchase Decisions For Spotify Premium Accounts With Consumer Attitudes As The Mediating Variable

In recent years, digital music streaming services have increasingly relied on advertisements to generate revenue and encourage users to upgrade to premium accounts. Previous research has shown that effective advertising can significantly influence consumer attitudes and purchasing decisions. However, advertisements may also provoke negative reactions such as annoyance and irritation, potentially impacting user experience. This study examines the impact of Spotify advertisements on consumers' purchasing decisions to upgrade from free to premium accounts, with consumer attitude as a mediating variable. This study used a quantitative approach to collect data from an online survey of 399 Spotify users. Data analysis was conducted using descriptive statistics and partial least squares structural equation modeling (PLS-SEM). The results indicate that advertising significantly enhances customer attitudes and positively influences purchase decisions. Furthermore, advertisements impact purchase decisions indirectly through customer attitudes. Despite these positive effects, the study also reveals that advertisements can cause adverse reactions, such as annoyance and irritation. Respondent feedback highlights ad content, frequency, and timing issues, which often disrupt the user experience. These findings provide valuable insights for digital marketers and advertisers seeking to optimize their campaigns on platforms like Spotify. Additionally, this research contributes to the broader understanding of advertising effectiveness, customer behavior, and digital marketing strategies in the context of music streaming services.

Mirroring the inequalities of mainstream music platforms: popularity, revenue, and monetization strategies on Bandcamp

ABSTRACT In the era of digital music streaming, understanding the monetization and popularity dynamics of online audio distribution platforms is crucial for both researchers and music industry professionals. While much of the existing research has focused on mainstream platforms such as Spotify and Apple Music, we study Bandcamp, an alternative marketplace that, among other things, empowers independent artists to upload and sell their music. Leveraging a rich dataset of one million Bandcamp sales, we investigate the distribution of popularity and revenues among artists on the platform. Our analysis reveals a substantial level of inequality, with a small core of musicians concentrating most of the purchases and revenues. Surprisingly, our results also indicate that many artists adopt a monetization strategy that involves devaluing their products, potentially leading to a cherry-picking of songs by consumers. These findings shed light on the challenges faced by alternative music distribution services and emphasize the need for further exploration of a fairer and more sustainable business model for independent artists.

A Study on market competition in digital music streaming services : Focusing on user recognition of service characteristics

A Study on market competition in digital music streaming services : Focusing on user recognition of service characteristics

Research on Product Competitiveness of the Digital Music Platform: A Case Study of the QQ Music Platform

The advent of the information age has led to a gradual transition of the traditional music industry towards digital development. This report delves into product innovation strategies implemented by QQ Music, such as its copyright strategy and product features, in response to intense competition within the digital music market. Based on the key findings, this report discusses how QQ Music’s innovative strategies have contributed to reinforcing the company’s dominance within China’s music streaming industry. A thorough SWOT analysis also serves as a strategic compass, highlighting the ways in which QQ Music strategically builds on its innate strengths and aggressively addresses its shortcomings. With a forward-looking perspective, this report provides insights into the future trajectory of QQ Music. The aim is to evolve strategies in response to changing copyright policies and to increase market competition. This research demonstrates QQ Music’s current product competitiveness and serves as a strategic roadmap for the platform’s future endeavors. Through constant strategy adjustments and grappling with the industry trend, QQ Music is positioned to both navigate and actively shape the changing digital music streaming marketplace in China.

Decentralized App for music Streaming

Abstract: Music has always been a way for artists to express themselves. The music industry has grown exponentially in the last few years with the emergence of digital music streaming platforms. However, streaming platforms for streaming music are centralized, so artists only receive a small part of the revenue and still have no control. Respect their content. Cases of plagiarism are on the rise in the music industry, so there is a need to use technology that can help artists. Currently, there is a need for technological change that will give artists control and transparency over their content. According to the current system, artists are registered with record labels, streaming platforms, etc. must rely on many intermediaries such as to eliminate this problem, our article focuses on blockchain decision-making approach where artists and users can interact directly to upload, buy songs, and pay Royalties. Artists can submit their music to the DApp to ensure ownership and avoid the impact of piracy. Users can buy and stream music from independent artists or support artists with purchases and donations using Ethereum.

Displacement paradigm towards digital music distribution in the recording industry

Digital music streaming and downloading platforms supervene the stymied superfluity of physical music distribution in the recording industry. The significant transition seems to provide quasi-real-time increased music consumption. The purpose of the study is to identify the challenges associated with the paradigm shift to the digital trajectory of music regarding global market demand and to establish the extent to which digital diffusion innovations influence digital music distribution and consumption in the recording industry. The exploratory research study employed univariate and multivariate statistical analysis to analyse the data collected from 217 musicians. The study found that the customer base of physical retail stores is dwindling due to the increasing number of independent artists and technologically compatible media devices that encourage music streaming and downloads. The practical implications ensue the amplitude of music downloads that is proffered by modular technological developments, such as the buttress of smartphones while it predicates the perspicacity of innovative digital technologies to create independent shrewd music entrepreneurs.

The Influence of Product Development and Brand Resonance on Customer Retention Among Users of The Digital Music Streaming Service Spotify

Spotify is the most widely used digital music streaming service in the world, necessitating the company to consistently implement strategies for retaining its user base. Research was undertaken to investigate the influence of Product Development and Brand Resonance on Customer Retention within Spotify digital music streaming services users. The research employed a quantitative research methodology known as causal associative research, and data analysis was conducted using Structural Equation Modeling (SEM) through the AMOS 26 application. A total of 150 Spotify users from various regions participated in the research. The outcomes revealed that Product Development exerted a significant influence on customer retention, suggesting that the incorporation of new features and enhancements in the product positively impacted customer retention. However, the research did not identify a significant impact of brand resonance on customer retention among Spotify users.

Cyberattacks Defense in Digital Music Streaming Platforms by Mobile Distributed Machine Learning.

Given the massive popularity of digital music industry repositories and their corresponding targeting by cybercriminals, this paper presents an intelligent model for cyberattacks defense in digital music streaming platforms by mobile distributed machine learning. The basic idea of machine learning is to use large data sets to create a model that responds well to inputs it has never processed before. With the increase in data volume and complexity of models, it becomes increasingly challenging to complete machine learning processes in a single machine. Distributed ML was developed to solve this problem, and a standard procedure is completed through the collaboration of multiple servers. With the evolution of mobile devices and the increase in their number, it is possible to create an integrated and compact mobile distributed machine learning (MDML) system that could reduce the workload of servers. A distributed logit polynomial function model is proposed, which is used to model options in distributed binary regression accounting units, which are of low complexity and high stability in noisy environments.

Ekonomi Politik Media Dalam Industri Musik Digital Spotify

Since the emergence of internet media, digital music was born which then marked as a change in the dominance of conventional recorded music. It is slowly and surely replacing the roles of conventional media, starting from the production process, distribution, to the level of music consumption. One of the most prominent music streaming platforms today is Spotify. In practice, the music streaming platform Spotify acts as a cultural industry that seeks to obscure people's real needs. This research uses a qualitative descriptive method based on a critical paradigm. With the aim of analyzing power relations in cultural practices that have been built by the digital music industry, either through the media or by the owners of capital through the perspective of the political economy of communication media. There are 2 main findings as a result of the study. First, there are 5 forms of digital music standardization that emerged because of the Spotify platform. Second, there are 2 forms of culture created from the relationship and identity of digital music actors, namely, the trend of soloist musicians or music by do it yourself, and bargaining power between musicians and music labels. In the end, Spotify is the party who benefits the most because it acts as a mediator who provides services or services for digital music streaming providers.

The Future of Music Copyright Collectives in the Digital Streaming Age

The Future of Music Copyright Collectives in the Digital Streaming Age

Spectral and Dynamic Analyses of Popular Music Playlists: The Concept of Presence Optimization for Digital Music Streaming Playback

Spectral and Dynamic Analyses of Popular Music Playlists: The Concept of Presence Optimization for Digital Music Streaming Playback

Pengaruh Perceived Value Terhadap Purchase Intention Digital Music Streaming Services Dengan Satisfaction Sebagai Variabel Intervening (Studi Pada Aplikasi Joox dan Spotify)

This study aims to analyze the effect of perceived value on the satisfaction of digital music streaming services Joox and Spotify applications and their effects on consumer purchase intentions. The variables used in this study are perceived value as an independent variable, then satisfaction as an intervening variable, and purchase intention of paid applications as the dependent variable. The number of samples in this study amounted to 133 respondents, namely users of digital music streaming services, especially the Joox and Spotify applications. The method used is non-probability sampling by distributing questionnaires to respondents. In this study, a theoretical model was developed by proposing five hypotheses to be tested using Structural Equation Modeling (SEM) analysis tools operated through the AMOS 24 program. The results of this study indicate that perceived value increases user satisfaction, which affects the purchase intention of paid applications.

Rethinking criticism about lossy compression: Sound fidelity, large-scale production and audio capital in pop music

Although digital music streaming and downloading practices highlight a preference for portability over fidelity among pop music consumers, for some ‘high fidelity’ continues to be a crucial component of their pop music engagement. This article examines the political dimensions of audio preferences. It considers comments by Neil Young and those within The Distortion of Sound who claim that the lossy compression encoding process – used in digital downloading and streaming – significantly degrades the quality of recorded sound and compromises valuable pop music characteristics. In 2015, these claims were followed by the development of the ‘hi-res’ music player device and digital download store ‘Pono’. This article argues that some criticism of lossy compression can be understood as ‘audio capital’. Rather than merely exchanging aesthetic preferences, or a reliable metric of the audibility of high fidelity, audio capital describes the reconversion of celebrity status and economic capital into a class divide structured by an appreciation for large-scale music production.

Integrating the theory of planned behavior and uses and gratifications to understand music streaming intentions and behavior

ABSTRACT This study tests an expanded theory of planned behavior model (TPB) that includes motives from uses and gratifications (U&G) to predict intentions to use digital music streaming services as well as the time spent listening (TSL). When examined alone, the traditional TPB components were positive predictors of intentions to use music streaming services. Adding the U&G motives increased the explained variance but only entertainment/mood management and social interaction factors were positive predictors of intentions. Using the traditional TPB to predict TSL revealed a different result. Only the attitudes component from the TPB was significant. After adding U&G motives to the analysis, only attitudes and social interaction emerged as positive predictors of TSL. This study highlights fundamental differences between what drives intentions to use music streaming services as compared to the time they spend using such services. It also indicates that U&G motives can be useful additions when expanding the TPB in the context of new technologies.

Analysis of Song Popularity in Business Digital Music Streaming for Increasing Quality Using Kohonen SOM Algorithm

Consumption of digital music services has grown dramatically in recent years. There is an increase in music streaming consumption from 2015 to 2016, which is 76.4%. One of the most popular music streaming services, Spotify, has experienced an increase in customers from year to year. This increase enables businessmen / music producers to increase their business profits by analyzing music / songs to find out the audio attributes that make the song enjoyable for many people. Processing and analysis data are using Kohonen SOM Algorithm. The function is to find out which audio attribute groups are most liked by Spotify users where a good music is a music that can be used as a therapy. The result is LR = 0.1, PLR = 0.9, and epoch = 70 - 500, it can be concluded that cluster 2 is the cluster that has the most number of streams with 27 songs where the smallest DBI value is obtained at epoch = 200. Thus, with the statistic analysis, the obtained information is; it is expected that businessman / music producers can increase their business profits by improving their music quality that focus on songs with modes = 0 (Minor) and loudness features

“First Week Is Editorial, Second Week Is Algorithmic”: Platform Gatekeepers and the Platformization of Music Curation

This article investigates the logics that underpin music curation, and particularly the work of music curators, working at digital music streaming platforms. Based on ethnographic research that combines participant observation and a set of interviews with key informants, the article questions the relationship between algorithmic and human curation and the specific workings of music curation as a form of platform gatekeeping. We argue that music streaming platforms in combining proprietary algorithms and human curators constitute the “new gatekeepers” in an industry previously dominated by human intermediaries such as radio programmers, journalists, and other experts. The article suggests understanding this gatekeeping activity as a form of “algo-torial power” that has the ability to set the “listening agendas” of global music consumers. While the power of traditional gatekeepers was mainly of an editorial nature, albeit data had some relevance in orienting their choices, the power of platform gatekepeers is an editorial power “augmented” and enhanced by algorithms and big data. Platform gatekeepers have more data, more tools to manage and to make sense of these data, and thus more power than their predecessors. Platformization of music curation then consists of a data-intense gatekeeping activity, based on different mixes of algo-torial logics, that produces new regimes of visibility. This makes the platform capitalistic model potentially more efficient than industrial capitalism in transforming audience attention into data and data into commodities.