Cross-Case Analysis of Streaming Music's Global Consumption Patterns

Thesis Abstract

This study addresses the global fragmentation of streaming music consumption by examining how demographic, cultural, platform-specific, and geoeconomic factors shape listening patterns across diverse markets. The central aim is to compare cross-case variations in streaming behavior to identify convergences and divergences in consumption modalities, preferences, and engagement across regions with differing developmental and regulatory contexts. Specific objectives are to (1) map the variance in weekly listening time, playlist usage, and device access across five representative markets (North America, Western Europe, East Asia, Latin America, and Sub-Saharan Africa); (2) assess the relative influence of price sensitivity, content catalog breadth, and algorithmic recommendations on user engagement; (3) evaluate the role of cultural proximity and lingua-cultural factors in genre and language preferences; (4) analyze the impact of macro-level determinants such as income inequality, internet penetration, and piracy prevalence on streaming adoption; and (5) synthesize findings to propose a cross-market framework for predicting uptake and retention in streaming platforms. The study employs a comparative, mixed-methods design integrating quantitative and qualitative strands. The population comprises active streaming music users aged 18–54 in the five markets, with a target sample size of 2,500 respondents for the survey component and 100 in-depth interviews across strata defined by age, gender, urban/rural residence, and subscription tier. A stratified random sampling approach ensures proportional representation within each market. Data collection instruments include a structured questionnaire capturing consumption metrics (monthly listening hours, playlist depth, repeat listening, device type), perceived value (quality of catalog, recommendation satisfaction), price sensitivity, and socio-demographic variables; and a semi-structured interview guide exploring motivations, cultural preferences, and platform experience. Instrument validity is established through expert review and pilot testing (n=150), with reliability assessed via Cronbach’s alpha and test–retest procedures. Quantitative analysis utilizes descriptive statistics, one-way ANOVA and MANOVA to compare consumption indicators across markets, hierarchical regression to quantify predictor contributions (demographics, price, catalog breadth, algorithmic relevance), and structural equation modeling (SEM) to test a proposed cross-market model linking access, engagement, and retention. Qualitative data are analyzed through thematic analysis using a coding framework aligned with the theoretical underpinnings, with triangulation against survey results to enhance interpretive validity. The study incorporates two established theories Uses and Gratifications Theory to interpret user-driven motives behind platform choices, and diffusion of innovations theory to contextualize adoption patterns across varying infrastructural environments. A conceptual model synthesizes findings, highlighting the interaction of market maturity, content localization, and platform strategies with user engagement dynamics. Expected findings indicate substantial cross-market heterogeneity in overall listening time and subscription tenure, with higher engagement in markets featuring rich catalogs and favorable pricing, moderated by user experience quality and algorithmic relevance. It is anticipated that price sensitivity exerts stronger influence in emerging markets, while content localization and language accessibility drive genre and language preferences in non-English-speaking regions. The analysis is expected to reveal that device diversity (mobile versus desktop) and network reliability significantly shape habitual listening patterns and discovery behavior. The study also anticipates identifying a core set of universal drivers of engagement—ease of access, perceived value, and personalized recommendations—while highlighting market-specific modifiers such as licensing constraints and cultural music repertoire. Contributions to knowledge include a comparative, empirically grounded framework for understanding streaming music consumption across heterogeneous markets, an integrative model linking socio-economic, technological, and cultural determinants to consumption behavior, and actionable insights for platform operators seeking globally scalable yet locally adaptive strategies. The findings will inform policy dialogue on digital music ecosystems, including implications for licensing frameworks, anti-piracy measures, and equitable access in underserved regions. The main conclusion posits that while universal features of streaming engagement exist, successful cross-market deployment hinges on nuanced localization, tiered pricing, and algorithmic personalization tuned to regional listening ecologies. Recommendations emphasize platform-specific strategies for catalog diversification, culturally resonant playlists, and infrastructure investments to reduce buffering and improve accessibility, alongside avenues for further research into longitudinal shifts in consumption as technical and regulatory landscapes evolve.