Stakeholders' Engagement and Performance Efficiency at Oil and Gas Industry in Yemen
Bibliographic record
Abstract
Oil and Gas industry in Yemen is considered as the biggest and variable sector. Therefore, the performance efficiency is very important to be attained during all the activities and phases that include searching, drilling, upstream, midstream, and downstream. As a crucial factor, stakeholders’ engagement theories have been emphasized the central role of stakeholders’ engagement to strategic planning efforts in contemporary organizations. This study therefore examined the impact of stakeholders’ engagement on the performance efficiency (time, cost, and quality) at the Yemeni oil and gas industry. The quantitative method was employed and online questionnaire was used as a primary source for collecting data. The sample size was 312, selected from three oil and gas companies; namely; Yemen Liquid Natural Gas Company, Safer Exploration and Production Oil Company and OMV Company. This study targeted managers and non-managers. The results show that stakeholders’ engagement has a significant relationship with the performance efficiency. In addition, stakeholders’ engagement has a significant impact on the performance efficiency. The results suggest the consideration of early stakeholders’ engagement in the planning, development, implementation, controlling and evaluation the performance. Managers should enhance every step regarding the participation of the stakeholders in the decision-making process. In addition, more effective practices will support achieving performance efficiency.
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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 | 0.001 |
| 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".