Operations strategy processes and performance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purpose of this paper is to explore the significance and dynamics of alternative operations strategy (OS) processes towards developing a more complete picture of the strategy process-context-performance nexus. The findings are based on the statistical analysis of empirical evidence drawn from the contract apparel manufacturing industry in a developing country. Design/methodology/approach – Using a structured questionnaire and the key-informant approach data were collected from 109 contract apparel manufacturing firms in Sri Lanka. Cluster analysis was used to identify alternative configurations of strategy process modes. Findings – The analyses confirmed that the existence of alternative forms of OS development is statistically significant and that the alternative configurations of strategy process modes tested can all lead to superior performance, under certain circumstances. Research limitations/implications – The generalizability of these findings to other industry sectors within developing countries should be treated with caution, mainly due to the fact that the vast majority organizations selected for this study were subsidiaries of large international companies or comparable local counterparts. In order to better understand the linkages between OS and performance, data should be collected from multiple countries preferably using mixed-methods approaches. Originality/value – The findings are expected to contribute to operations management theory as they corroborate, with statistical evidence, the findings of recent qualitative studies. The results also confirm the existence of OS processes in developing countries that are consistent with the conceptual understanding developed in the context of developed countries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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