The Role of Individualism–Collectivism in Shaping Consumer Evaluations of Achievement-Related Gamification Features
Bibliographic record
Abstract
Gamification has become a globally adopted innovation, used by marketers worldwide to enhance consumer experience through game-like elements such as points, levels, leaderboards, progress paths, and more. While existing research analyzes the influence of gamification on consumer engagement and brand loyalty, little is known about how cultural factors influence its impact. This research aims to investigate how cultural dimensions—specifically, individualism-collectivism—affect the way consumers evaluate and perceive achievement-related gamification features. Four distinct studies will use online surveys to examine whether individualistic and collectivistic consumers respond differently to gamification elements that emphasize either personal achievements or collective goals. This research will contribute to consumer behaviour literature and provides insights for marketers seeking to create more inclusive, personalized, and meaningful experiences for consumers. The findings will extend the current understanding of culture and gamification intertwine, and help businesses design culturally adaptive gamification strategies that resonate with diverse audiences.
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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 | 0.002 | 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".