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The purpose of this paper is to articulate whether consumers’ use of music via streaming service benefits niche products and diversified consumption of music. It examines does winner take all or is long tail achieved in the digital music market.

To investigate the degree of concentration in the digital music sales, this study measures multiple concentration metrics using the top 100 songs for 245 weeks listed on the Korean music ranking chart.

Conflicting results are found between the analyses based on short-run and long-run data. When sales distributions are compared weekly or monthly, the results show that streaming services have a less concentrated sales distribution than download services. However, the result becomes the opposite in the long-run analysis (i.e. one year).

This study proposes that the non-technological drivers such as the beneficial addiction of music consumption can be a crucial driver affecting the usage concentration in music industry, coupled with the royalty policy of access-based services.

This 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.

The 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.

The 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.

The 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.

The 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 purpose of this paper is to identify the influence of homophily and social identity in eWOM adoption and influence on music consumption in streaming platforms. The study also proposes a framework for eWOM influence on product consumption.

Data were collected through an electronic questionnaire with a total of 524 valid responses. A partial least square methodology was used to approach the data analysis.

The findings indicate that both homophily and social identity have an influence on eWOM effect. Additionally, homophily shows influence on social identity being an important value to the total influence. It is also confirmed how eWOM has direct influence on music consumption.

Social information of consumers becomes more relevant than ever, as the results contribute to highlight its importance as a message adoption influencer and product consumption driver.

This study contributes to social communication theory by identifying homophily and social identity as valuable assets during eWOM generation. The research brings a new angle to social identity theory in the social network environment and influences eWOM adoption in music streaming consumption.

El propósito de este estudio es identificar la influencia de la homofilia y la identidad social en la adopción de eWOM y su influencia en el consumo de música en plataformas de streaming. El estudio también propone un marco para la influencia de la eWOM en el consumo de productos.

Los datos se recopilaron a través de un cuestionario electrónico con un total de 524 respuestas válidas. Se utilizó una metodología de Mínimos Cuadrados Parciales para abordar el análisis de datos.

Los hallazgos indican que tanto la homofilia como la identidad social tienen una influencia en el efecto de la eWOM. Además, la homofilia muestra influencia en la identidad social siendo un valor importante para la influencia total. También se confirma cómo la eWOM tiene influencia directa en el consumo de música.

Este estudio contribuye a la teoría de la comunicación social identificando la homofilia y la identidad social como activos valiosos durante la generación de eWOM. La investigación aporta un nuevo enfoque a la teoría de la identidad social en el entorno de las redes sociales e influye en la adopción de eWOM en el consumo de música en streaming.

La información social de los consumidores se vuelve más relevante que nunca, ya que los resultados contribuyen a resaltar su importancia como influenciador en la adopción de mensajes y como impulsor del consumo de productos.

本文旨在确定同质性和社会认同对电子口碑在音乐流媒体平台上的采纳的影响。研究还提出了一个关于eWOM对产品消费影响的框架。

通过电子问卷收集了524份有效回复, 并采用了偏最小二乘法对数据进行分析。

研究结果显示, 同质性和社会认同对eWOM效果产生影响。此外, 同质性对社会认同产生影响, 对总体影响具有重要价值。另外, 研究还确认了eWOM对音乐消费的直接影响。

本研究通过确认同质性和社会认同在eWOM生成过程中的重要价值, 为社交传播理论做出了重要贡献。研究为社交网络环境下的社会认同理论提供了新的视角,并对音乐流媒体消费中的eWOM采纳产生了影响。

在当前社会环境下, 消费者的社会信息比以往任何时候都更加重要。本研究的结果有助于凸显社会信息在信息采纳和产品消费方面的重要性, 进一步强调了其作为影响因素和驱动力的重要性。

This exploratory study explores usage habits in music streaming applications (MSA) and their influence on various dimensions, such as: changes in personal music management (PMM) and musical information retrieval; sense of ownership over songs being stored on MSA; and privacy concerns when using those applications. It also investigates the potential effect of demographic factors and personal musical preferences on the tested variables.

This is examined by using a mixed methodology that is consisted of two phases – qualitative and quantitative: The qualitative phase includes semistructured interviews with three MSA users, and the quantitative phase includes the distribution of closed-ended questionnaires among 192 users of MSA.

It seems that the musical information management methods have changed dramatically with the introduction of MSA. Also, the findings show that even though users are only moderately concerned about their privacy within MSA, they are willing to pay for premium services that will ensure privacy protection. Interestingly, personal musical preference was found to affect the belief in the potential of using MSA as part of a social activity and on the willingness to pay for premium services within them.

This paper represents an extension of the article by Weinberger and Bouhnik (2019). It appears to be the first academic research to investigate the issue of musical information retrieval and PMM among MSA. In addition, it is the first study that takes into account privacy-related issues among MSA users.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0118

This paper aims to examine how blockchain technology is disrupting business models for new venture finance.

The role of blockchain technology in the evolution of new business models to monetize the creative economy is explored by means of a case study approach. The focus is on the recorded music industry, which is in the vanguard of new forms of intermediation and financialization. There is a particular focus on emerging artists.

This paper provides novel case study insights and concludes by considering how further research can contribute to building a theory of technology-driven business models which apply to the development, on the one hand, of new forms of financial intermediaries, more correctly referred to as “infomediaries,” and on the other hand, to new forms of direct monetization by artists.

This paper provides early insight into the emerging potential applications of blockchain technologies to streamline music industry business service models and improve finance streams for new artists. The findings have far-reaching implications across the creative sector.

The learning outcomes of this case are product innovation, the importance of consumer insights and data in marketing and the role of consumer insights in brand revival.

This case study is a fascinating look into how the shift from music compact disc (CDs) to streaming has completely changed consumer behavior. This change in attitude led many music labels down one of two paths as follows: shutting down the business or embracing new business models. The case study aims to bring out essential learning from a company, Saregama, that was on the verge of shutting down because of the losses incurred with the shift in consumer behavior from buying music CDs to streaming music for free on every smart device. This shift led most record companies to become shuttered. However, not all were as fortunate as Saregama, who threaded its way toward profitability. This case analyzes how Saregama turned from a loss-making business unit into a profit center by launching a breakthrough product backed by innovative thinking and strong consumer research. The researcher opted for secondary research based on reports from Deloitte and McKinsey & Company and other credible sources to understand the music streaming market in India. The study also includes excerpts from the interview of Vikram Mehra (MD of Saregama India Ltd.) to various media houses and customer reviews on e-commerce sites.

The case is relevant for learners studying for an undergraduate or graduate program and for discussions for modules such as marketing management and international marketing with a focus on product development and strategy. Applicability the case will provide the following exposure to the learners: the difference between corporate and marketing objectives; Using frameworks such as valuable, rare, inimitable, and organization and SAP-LAP to understand the rationale behind strategic decisions; An understanding of the importance of listening to consumers; Using the right marketing elements such as segmentation, targeting and positioning and marketing mix for a competitive marketing strategy.

Teaching notes are available for educators only.

CSS: 8 Marketing.

This paper aims to explore factors contributing to music popularity using machine learning approaches.

A dataset comprising 204,853 songs from Spotify was used for analysis. The popularity of a song was predicted using predictive machine learning models, with the results showing the superiority of the random forest model across key performance metrics.

The analysis identifies crucial genre and audio features influencing music popularity. Additionally, genre specific analysis reveals that the impact of music features on music popularity varies across different genres.

The findings offer valuable insights for music artists, digital marketers and music platform researchers to understand and focus on the most impactful music features that drive the success of digital music, to devise more targeted marketing strategies and tactics based on popularity predictions, and more effectively capitalize on popular songs in this digital streaming age.

While previous research has explored different factors that may contribute to the popularity of music, this study makes a pioneering effort as the first to consider the intricate interplay between genre and audio features in predicting digital music popularity.