Investigation of the Main Factors Influencing Gen Z Users' Willingness to Subscribe/Renew Music Streaming Platforms
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The global music industry is increasingly dominated by streaming services, which now account for 84% of recorded music revenue. For Gen Z, music streaming is a primary mode of consumption, making it vital to understand what drives their subscription decisions. This study investigates the primary factors that influence Gen Z users willingness to subscribe to or renew memberships on music streaming platforms. During the research, this study surveyed a sample of Gen Z users using a Liberty-scale questionnaire measuring these related variables and analyzed the data using Pearson correlation coefficients and multiple regression to test the hypothesized relationships. Results show that perceived ease of use has a strong positive impact on Gen Z users subscription/renewal intentions, whereas neither perceived usefulness nor reliability exert a significant influence. This finding marks a departure from classic TAM expectations, suggesting that in the hedonic context of music streaming, ease of use outweighs functional utility (usefulness) and perceived reliability in driving usage intentions. Theoretically, the findings revise TAM assumptions for entertainment-oriented technologies. Practically, these insights imply that music streaming platforms targeting Gen Z should prioritize user-friendly designs and smooth usability to encourage subscriptions and loyalty, rather than overemphasizing added functionality or trust-building measures that young users may already take for granted.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it