The role of sustainable performance in mediating the effects of digital marketing tactics on market volatility: Evidence from Jordan
Bibliographic record
Abstract
The objective of this study is to examine the mediating effect of sustainable performance in the relationship between digital marketing tactics and market volatility at an effective level in the Jordanian market. This research uses the Triple Bottom Line (TBL) Theory and the Resource-Based View (RBV) theories to examine the impact of market volatility on sustainability performance, with a focus placed on mediating the effects of digital marketing provided online. Empirical data in the form of field study and statistical analysis to evaluate the relationships between digital marketing tactics, the performance that is sustainable as well volatility within the market through the business were gathered. The findings showed that there is a significant mediating effect of sustainable performance on the relationship between digital marketing strategies and market volatility. The research provides insights into how firms can achieve greater agility and sustainability by rethinking their marketing mix in a volatile market. These findings suggest that the volatile markets should be based on the principle of sustainable performance when planning international digital marketing activities in order to cope with market volatility and competitive advantage.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.003 | 0.001 |
| 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".