Exploring the Relationship between Experiential Marketing and Experiential Value in the Smartphone Industry
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 rapid evolution of marketing that focuses from product to service to experience has challenged the marketing researchers to engage experiential marketing approach in designing the marketing strategies by involving customers (Maklan & Klaus, 2011). Most of the smart phone producers have started to embed the concepts of experiential marketing and experiential value in positioning and promoting their products via a series of advertising campaigns. The objective of this research is to investigate the relationships between experiential marketing and experiential value among the current smart phone users in Malaysia. Quantitative research was conducted through the self-administered survey and a total of 550 questionnaires were distributed based on the cross-sectional study. Regression analysis was used to analyse the statistical data through the SPSS software version 20. The research confirmed the significant positive relationships of sense experience, feel experience, act experience, relate experience, and think experience with experiential value.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| 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