Effect of E-Marketing Adoption Strategy on Export Performance of SMEs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose - The purpose of this study is to analyze the effect of e-marketing adoption strategy on export performance of SMEs in Pakistan. The mediating effect of marketing activities on the relationship between e-marketing adoption and export performance is also investigated. Design/methodology/approach – Data was collected from 169 SMEs from four sectors, namely textile, leather, medical and surgical goods and services. The five constructs namely e-marketing budget, e-marketing tools, pre sales activities, after sales activities and export performance linked through eight hypotheses were tested using structural equation modeling in AMOS version 5. Findings - This study finds the positive impact of allocation of e-marketing resources for marketing activities and confirms that mere adoption of e-marketing tools is not sufficient for improving marketing activities. Similarly, SMEs export performance is positively influenced by allocation of e-marketing budget, adoption of e-marketing tools and after sales activities, but pre sales activities does not produce significant effects on export performance of SMEs. Research limitations/implications-- The data collected for this study was cross sectional in nature, whereas longitudinal approach is more suitable for such a study. Moreover, the data was collected from four sectors from Pakistan (a developing country), therefore, care should be taken while generalizing the results of the study. Practical implications – The study points out that SME sector needs to be facilitated by providing IT infrastructure, training employees and resources for utilizing e-marketing at its full potential. Key Words: E-Marketing, Adoption Strategy, Export Performance, SMEs
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it