Determinants of Millennial behaviour towards current and future use of video streaming services
Bibliographic record
Abstract
Purpose This study aims to investigate the evolution of factors that influence the current and future use of video streaming applications by Millennial consumers. Design/methodology/approach Combining technology acceptance, perceived values and user identity theory this study used factor analysis and multiple regression to examine data from a survey of 292 university undergraduates. Findings Millennial’s current and future use of video streaming services remains driven more by social and emotional values and their effect on identity salience with their choice of content. Ease of use, convenience and monetary value remains less of an influence currently but may become more important in the future with the continued maturity of the industry. Practical implications The results of this study suggest that video streaming service providers should be developing business models that recognize the increasing importance of emotional appeal and self-identity of their service offerings as the industry matures and competition increases. Originality/value The research is novel in addressing future video streaming service provision by examining changes in young consumer behaviour over time within a similar sample population and considering the growth and technological advancement of video streaming services. The results are significant in addressing the gap that exists in understanding whether perceived values for technology adoption of the same product or service by millennials change over time and the implications that have for product and service providers.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".