The influences of sustainability practices and IT capability on project operational performance through supply chain resilience in Indonesia's coal mining contractors
Why this work is in the frame
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Bibliographic record
Abstract
Coal mining is a very important sector in Indonesia, but there has been a decline in the realization of coal production in recent years, so this can reduce state revenues. One of the big challenges in the mining sector is the uncertainty of the mining business, such as information technology and sustainability concerns, that affect the mining industry's supply chain procedure. The purpose of this examination is to identify and determine the performance of supply chain resilience in the face of business uncertainty by determining the function of IT capabilities and sustainability practices in coal mining contractors. This research was conducted using a quantitative research method approach that was carried out using a structured survey instrument. The methodology employed in this study is built on purposive sampling, which is a non-probability selection method. The researchers used the Structural Equation Model (SEM) to examine data that were gathered from a sample of 128 project managers of coal mining contractors in Indonesia. The findings of this study demonstrated that project operational performance was significantly and favorably impacted by supply chain resilience. Additionally, a major and advantageous mediating IT skill in the operational execution of projects is supply chain resilience. Furthermore, it was shown that the use of IT capacity and the implementation of sustainability practices had a noteworthy and favorable influence on enhancing the performance of mining contractor projects. This research also provides information that environmental dynamism does not significantly moderate supply chain resilience on mining project performance. The novelty of this research is the contribution of supply chain resilience as an important resource for organizations that are integrated with IT capabilities to encourage increased project operational performance, especially for coal mining contractors. Additionally, research is still rarely carried out in between sustainability practices and supply chain resilience in the mining sector. It is concluded that coal mining contractor projects need to build supply chain resilience at the site amidst the uncertainty of the coal mining business.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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 it