Performance of supply chain management and digitalization of human resource information in SMEs
Bibliographic record
Abstract
The aim of this study is to determine the influencing factors of Supply Chain Management and digitalization of human resource information practices in the small and medium enterprises of Oman. Digitalization of human resource information is the adoption of electronic means to the human resource activities of Supply Chain Management. In this system, the whole human resource activities are implemented through electronic means with the support of information technology (IT) infrastructure. To measure the Digitalizationof Human Resource Information Practices and the performance level of Supply Chain Management, two adopted constructs from two different studies were used. The study samples were taken from the SMEs of Oman. Almost 180 employees of different provinces responded to the questionnaires translated into vernacular language through google forms and a few hardcopy surveys were distributed to different locations with the support of SMEs and few entrepreneurs. The study found a significant positive relationship between the Performance of SCM and the Digitalization of Human Resource Information of a prominent variable electronic communication and other variables were found with no significant relationship. The finding of the study acts as a significant contributor to the existing literature on SCM as well as human resource management.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".