SMEs Social media adoption and financial and non-financial marketing performance
Bibliographic record
Abstract
The study employs the Technology, Organisational, and Environmental (TOE) theory to examine the role of SMEs’ adoption of social media on financial and non-financial marketing performance in Ghana. Data were collected from SMEs in Accra, Ghana. The study tested seven hypotheses and two moderators. A total of 452 usable sample size were analyzed using structural equation modelling (SEM). The outcome reveals a positive and significant relationship between social media adoption and SMEs' financial and non-financial performance in Ghana. Additionally, a direct relationship between the TOE and SMEs’ social media adoption was confirmed. Although the generalizability of this study is limited due to a single country study, it is still relevant in contributing to a better understanding of social media adoption literature among SMEs, especially from a developing country context. This study is part of the few studies that have used the Technology, Organisational, and Environmental theory to understand social media adoption and marketing performance in the context of an emerging country.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| 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 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".