Identifying critical success factors in designing effective and efficient supply chain structures: A literature review
Bibliographic record
Abstract
The present research mainly focuses on the review of existing literature on the topic of critical success factors (CSF) in supply chain structures. The main aim of this study is to identify the major critical success factors (CSF) that have been identified previously by academics and researchers during their research on the topics related to the discipline of supply chain management. The literature survey technique has been applied for the present research. This research is based on a critical review of seventy-three published studies on supply chain structures obtained from most important research databases by using the keywords related to supply chain structures such as barriers in the supply chain, critical success factors in supply chain structures. This study will not only contribute towards the existing literature on supply chain structures but will also help researchers to acknowledge the importance of critical success factors in supply chain structures. One of the major aspects of research regarding the supply chain is to reduce cost and that can only be done via effectiveness and efficiency in the processes, which depend on different variables at every level. The researchers have identified many critical success (CSF) factors in designing effective and efficient supply chain structures are a mutual partnership, executing communication and information expertise, support from senior management, human resource management, environmental uncertainty, value-addition process, business management, generating business culture, developing relationships between customer and supplier, logistics. The present research will also highlight the importance of different factors in achieving the effective and efficient in supply chain structures which enable organizations to not only reduce cost but also help them to achieve higher levels of customer satisfaction. This study will also be beneficial for managers as it will enable them to identify the critical success factors for their supply chain structures, keeping in view the nature and business environment of their organization.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".