The Role of Marketing Information Systems in Reducing the Affects of the International Financial Crisis: A Study Applied on the Banks Working in the Kingdom of Saudi Arabia from Islamic Perspective
Bibliographic record
Abstract
The study aimed to measure the impact of the elements of marketing system in the banks working in Saudi Arabia and its role in meeting the effects of reducing the price of oil by the lawful rules. The population of the study included three banks in all branches working in Saudi Arabia. The intentional sample was withdrawn for the distribution of the study tool (questionnaire) which included marketing managers, where 89 questionnaires were recovered and 75 questionnaires were appropriate for analysis issues. The effects of the financial crisis on marketing banks working in Saudi Arabia due to a set of independent variables were formulated as hypotheses represented by: (the dimensions of marketing information systems, the Islamic requirements in marketing the Islamic banks, the core differences between the banks working in Saudi Arabia due to the marketing information systems) in order to measure its impact on the dependent variable (the ability of the banks working in Saudi Arabia to stand up and meet the effects of financial crisis). The hypotheses were selected due to (SPSS) method at the statistical significance 5%. The researchers came up with a set of results that supported the hypotheses of the study showing the importance of marketing systems as independent variables in marketing and activating the Islamic financial management in the banks working in Saudi Arabia to prevent the effects of the financial crisis. It was notified that all independent variables that were mentioned above affected the dependent variable. In the light of conclusions, a set of recommendations were provided to enhance the role of marketing information system and activate the marketing of tools of banks working in Saudi Arabia to meet the financial crisis and reduce its effects.
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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 | 0.003 | 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) | 0.002 | 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".