The Effect of Learning Standards and Market-Orientation in Competitive Strategy and Organizational Survival of the Islamic Republic of Iran Broadcasting (IRIB)
Bibliographic record
Abstract
The aim of the present study to is to determine the effect of learning standards and market orientation effect on competition and survival strategies in the Islamic Republic of Iran Broadcasting. This research is an applied research and the method of collecting data is field research. The Statistical Society includes all 248 managers and senior technical experts in IRIB in 2015 which by using of Morgan Table the 148 volume has been selected. For gathering data, we used OL learning Criteria Questionnaire (2001), Slater and Narver marketing Questionnaire (1990), Self-made questionnaire based on Porter’s competitive strategy, and Self-made questionnaire based on organizational survival in Likert’s 5-degree scale. Data collected by descriptive statistics (Frequency tables, graphs, percentages, averages) and inferential statistical methods, (Pearson correlation, synchronous multiple regression analysis, structural equation modeling) by using statistical software SPSS and AMOS were analyzed. The results showed: learning criterion has a positive and significant effect on marketing, Marketing (customer-oriented, cross-sector coordination, competitiveness) has a significant positive impact on competitive strategies and organizational survival, Competitive strategies have a positive and significant effect on organizational survival. The results showed that the model fit is appropriate.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".