The moderating effect of entrepreneurial marketing in the relationship between business intelligence systems and competitive advantage in Jordanian commercial banks
Bibliographic record
Abstract
The paper investigates the Competitive Advantage in the Jordanian Commercial Banks (JCB) and its relationship with the Business Intelligence Systems (BIS) through the moderate influence of the Entrepreneurial Markets. Business Intelligence Systems (BIS), can extract a better knowledge for the performance and future gains for the organization. Therefore, it can pin point the impasse which in turn results in a suitable result for the problem in hand. As a result, the organization success will increase due to the efficiency of management performance. This study explores the Intelligent System (IS) relationship with Competitive Advantage (CA) through monitoring the moderating role of Entrepreneurial Marketing (EM). A survey is implemented for the data collection & analysis with 300 questionnaires, and (PLS) is used for the analyses. The results indicate that BIS was definitely related to Competitive Advantage, and EM moderated the connection between BIS and Competitive Advantage.
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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 | 0.002 | 0.005 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".