E-literacy-adoption model and performance of women-owned SMEs in Southwestern Nigeria
Bibliographic record
Abstract
The study investigates the moderating effect of e-literacy and business information strategy on the relationship between ICT adoption and performance of women-owned SMEs in Southwestern Nigeria. The theories of information technology trilogy by (J Strateg Inf Syst 10:77-99, 2001) coupled with the ICT literacy of (MediaSmarts, Digital Literacy Funadamentals, Canada’s Centre for Digital and Media Literacy MediaSmarts, 2017) which in this study is conceptualized as e-literacy were adapted, and five hypotheses were formulated towards proposing an e-literacy-adoption model for enhanced SMEs’ performance. The study adopted the correlational survey research design and consists of women-owned SMEs in Southwestern, Nigeria. A multi-stage sampling was employed in the study, and a sample size of 240 women-owned SMEs was drawn. However, 236 were retrieved, giving a 94.4% response rate. The questionnaire was used to obtain information, and the correlation analysis was used to analyze the data obtained. The result of the study revealed that e-literacy and business information strategy are significant to the adoption of ICT for effective performance among women-owned SMEs in Nigeria. The study recommends that governments and various NGOs committed to enhancing the growth and development of women-owned SMEs in Nigeria should provide necessary grants and sponsorship towards providing necessary ICT workshops and trainings that could enhance women-owned SMEs’ e-literacy and skills and also the adoption of ICT towards a better performance.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".