The Impact of Interactivity on Advertising Effectiveness of Corporate Websites: A Mediated Moderation Model
Bibliographic record
Abstract
Interactivity is identified as a key component in the new media; however, the complex relationship between interactivity and advertising effectiveness measures has yielded inconclusive results. The purpose of this study is to perform a systematic investigation of the underlying mechanisms between the actual interactivity and the advertising effectiveness measures. This paper proposes a model that empirically examines the role of the perceived interactivity in mediating the impact of actual interactivity on advertising effects; moreover, it studies the moderating role of individual differences on perceived interactivity. The empirical evidence indicates that perceived interactivity mediates the relationship between actual interactivity and purchase intention, the attitude towards the brand, and the attitude towards the website; additionally, it reveals that age plays a significant moderating role between actual and perceived interactivity. Thus, the mediated moderation model is supported. Furthermore, this paper tackles the implications of the interactivity theory building in the practice of marketing communications and interactive advertising.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.035 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".