Banking Services Marketing via Social Media Platforms and Its Impact on Consumer Behavior During COVID-19 Pandemic in Jordanian Banks: Mediating Role of Innovation Marketing
Bibliographic record
Abstract
This study aimed to know the impact of marketing via social media platforms (MSMP) during the Covid-19 pandemic on consumer behavior (CB) in Jordanian banks. In addition to knowing the role of innovation marketing (IM) in improving the ability of the impact of MSMP on CB during the Covid-19 pandemic. The study population consisted of all Jordanian banks. The process of distributing and retrieving the questionnaires was carried out electronically due to the COVID-19 pandemic and the ban imposed in Jordan. The study found an impact of MSMP during the COVID-19 pandemic in IM, Also, MSMP helps to innovate in the way social interactions occur between individuals and banks. The study also found an impact of MSMP on CB during the COVID-19 pandemic. The study also showed that there is an impact of IM in improving the impact of MSMP on CB. The study recommends the need to pay attention to MSMP as it adds very important elements to traditional marketing during the COVID-19 pandemic.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".