Influence of MIS components on efficiency of e-marketing strategies: Evidence from telecommu-nication organizations in Jordan
Bibliographic record
Abstract
The study aimed to highlight the role of management information system (MIS) and its components in improving the effectiveness and efficiency of e-marketing strategies in telecommunications companies in Jordan. By relying on the quantitative methodology and by dealing with the questionnaire as a research tool, 131 individuals from the marketing departments in the organizations under study responded, and after the analysis, the study demonstrated an impact of MIS and its components on e-marketing strategies by influencing how and the mechanism of data processing and presentation as information that contributes to making the most appropriate marketing decision. The study also proved that all components of MIS have an impact on e-marketing strategies, most of which were “human resources” or people, which proved that the efficiency of individuals and their ability to deal with technology carries significant effect on the effectiveness of MIS in managing and organizing e-marketing strategies. The study recommends the necessity to focus on human resources with STEM skills, namely science, technology, engineering, and mathematics in order to ensure the best outcomes of MIS.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".