Impact of Instagram on the Marketing Performance of Home-Based Businesses in the North Al Batinah Region, Oman
Bibliographic record
Abstract
This study investigates the effectiveness of Instagram-based marketing strategies for home-based businesses (HBBs) in post-pandemic Oman by applying social selling and interaction theory. The research focuses on the dynamic relationships among interactivity, information content, and trendiness on Instagram, examining how these factors collectively influence the marketing performance of HBBs. Data were gathered from 100 HBB owners through a structured questionnaire. The findings reveal significant correlations between the use of Instagram and improved marketing performance for these businesses, demonstrating the platform’s importance in the current market landscape. Despite acknowledging certain research limitations, the study emphasizes Instagram's unique role as a powerful marketing tool for HBBs. The research suggests that future studies should include larger and more diverse samples to obtain more comprehensive insights. Ultimately, this study enhances the existing literature on Instagram marketing for HBBs and offers practical implications for business owners, contributing to a deeper understanding of social media marketing dynamics in this sector.
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.
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 | 0.001 | 0.000 |
| 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".