The Examination of Factors Influencing Saudi Small Businesses’ Social Media Adoption, by Using UTAUT Model
Bibliographic record
Abstract
Social media is becoming a major development in electronic commerce among a wide range of sectors, for example, education, government, health care, and business. In Saudi Arabia, a major movement toward social media has taken place, especially among small business entrepreneurs, due to its low cost and the powerful role it can play in globalization.The goal of this paper is to add to the theoretical knowledge base regarding the adoption of social media among Saudi small businesses, by applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the influences of Saudi small businesses’ social media adoption. An empirical study was carried out using online survey research among 73 Saudi business entrepreneurs. The major findings of the paper are that Saudi small business entrepreneurs tend to use social media for the major constructs of performance expectancy, effort expectancy, social influence, and facilitating conditions. However, although the moderator of gender proved to be effective on the construct of effort expectancy, the effects of the moderators of age, gender, and experience on the other major constructs were not salient.It is believed that the findings will be useful for understanding adoption phenomena better, to help business entrepreneurs to make superior decisions based on them.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".