Improving quality management: ISO 9001 benefits for agrifood firms
Bibliographic record
Abstract
Purpose ISO 9001 can offer users substantial management benefits. For developing country firms, this standard could offer both important management improvements and serve as a quality signal to foreign suppliers and potential buyers. The purpose of this paper is to explore the impact of ISO 9001 on food manufacturing firms in Guyana. Design/methodology/approach A multiple case study approach, using interviews with multiple managers, was used to assess the impacts of ISO 9001 in six registered and non-registered firms. Findings ISO 9001 offers supply chain management benefits. Non-registered firms reported using the standard to formalize their monitoring procedures and improve planning, sourcing, manufacturing, and delivery efficiency. Registration helped firms formalize their quality management systems; it provided guidance on improving their customer/supplier relationships, and offered tools to monitor internal processes. Registered and non-registered firms reported increased customer satisfaction, market share and inventory turnover, and reduced lead times, rework, waste, and customer complaints. Research limitations/implications The number of cases examined in this study is limited. Interview data are based on managers’ perceived experiences; it was not possible to verify this information independently. Originality/value The paper examines management benefits of adopting an international quality management standard in developing country agrifood firms.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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 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".