Modeling Business Process Workflow of SMEs Using Environment Based Design with a Case Study of Valtech Fabrication Incorporation
Bibliographic record
Abstract
Small and Medium-Sized Enterprises (SMEs) account for over 95% of firms in most countries. In Quebec, SMEs account for 96% of all businesses. SMEs are important for economic growth and they are strong contributors to productivity. Some of the challenges of SMEs are the lack of financing, difficulties in using technology, constrained managerial capabilities, or inefficient productivity. \nAmong challenges of SMEs, finance and inefficient productivity can be considered as two of the most important issues that slows down their growth. Finance issues can be referred to as the lack of money in investing in new technologies, hiring competent resources, and investing in new equipment. To improve the financial status of a company and increase the profit, we can either increase the revenue or decrease the expenses. The objective of this project is to target the finance issue as well as inefficient productivity of the SMEs and improve both of them by developing a workflow model. Workflow refers to a method for improving business process management, and an effective workflow can help the decision-makers in an enterprise to develop pathways leading to the reduction of costs and wastes. It employs the Environment Based Design (EBD) methodology which not only designs an effective workflow but also analyses the environment of the business to find the root causes of the issues to help the SMEs improve their finance issue by increasing the operation and production efficiency and effectiveness.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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; 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".