An Evaluation of Technology Innovation on the Performance of Indigenous Textile Weaving Firms in Southwestern Nigeria
Why this work is in the frame
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Bibliographic record
Abstract
The study evaluated the impact of technology innovation on the performance of indigenous textile weaving firms in south-western Nigeria. Primary data were collected through structured questionnaire administered on indigenous weavers in the study area. Results of correlation analysis showed the relationship between business performance and source of raw material (r=0.17, t=2.84, p<0.01); product innovations (r=0.10, t=1.65, p<0.05); investment in technology innovations (r=0.19, t=3.25, p<0.01); business advisory services (r=0.11; t=1.74, p<0.05); reduction of tax (r=0.11; t=1.73, p<0.05), export incentives (r=0.13; t=2.09, p<0.01); and total capital investment (r=0.21; t=3.55, p<0.01). Factors with negative effect are cost of RD t=3.24, p<0.01); threats by competitors (r=-0.18; t=3.06, p<0.01) and production of quality products (r=-0.09; t=1.64, p<0.05). Regression analysis and its impact on business performance were local marketing, (β=17.95, z=11.18, p<0.01); national marketing, (β=18.35, z=1.64, p<0.01); product innovations, (β=3.17, z=3.03, p<0.01); total capital invested, (β=2.68, z=10.19, p<0.01) and experience in business, (β=2.66, z=2.96, p<0.01). Factors with negative effect were payment of tax, (β=-17.46, z=-21.31, p<0.01); regional marketing, (β=-17.38, z=-18.08, p<0.01); local competition, (β=-16.53, z=-9.02, p<0.01). The study concluded that sale of products in the domestic market; product innovations; total capital invested and years of experience in business were the factors responsible for the resilience and sustenance of indigenous textile weaving firms. However, factors such as payment of tax, sale of products in regional market, local competition, trade liberalization and cost of R&D are the major constraints in the performance of firms in the industry.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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