The Impact of Environmental Sensing Strategies on the Organizational Effectiveness: Evidence from Jordan
Bibliographic record
Abstract
The purpose of study is to identifying the impact of environmental sensing strategies on the organizational effectiveness among Jordanian commercial banks. In order to achieve the study objective, a questionnaire was designed and distributed to 175-members study community from the managerial level (director, deputy director and head of department). The appropriate statistical methods were used to analyze the data. The result of the study reveals that, the level of applying environmental sensing strategies in Jordanian commercial banks has reached a high level. The level of organizational effectiveness in Jordanian commercial banks, has also reached a high level. There is a statistically significant impact of environmental sensing strategies (flexibility strategy, containment strategy, and forecasting strategy) on the organizational effectiveness as a whole and on its dimensions, individually, (availability of information, stability). The study reached a number of recommendations, the most important are: creating a system of incentives and rewards for the employees to motivate them to work and to demonstrate distinguished abilities to interpret and clarify the information in a way that serves the organization.
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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 | 0.006 | 0.010 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".