A Conceptual Framework for Determinants of E-Exporting (Marketing Applications) Practices and the Business Performance: Empirical Study
Bibliographic record
Abstract
This research aims at identifying the determinants of the adoption of e-exporting marketing applications by Jordanian companies and their influence on their exporting performance. For this purpose, a conceptual framework based on the analysis of the literature review and the theoretical adoption models was developed. The required data was gathered through self-administrated questionnaire from 163 exporting industrial companies. The results showed that the extent of e-exporting applications being practiced is considered to be satisfactory (i.e. 62%) and they were varied among exporting companies in terms of their size and experience. The results of factor analysis (FA) indicated that 30 determinants variables could be grouped into three major factors: organizational, environmental and technological and they could explain 76% of the variation of e-exporting applications being implemented and 83% the variation on exporting performance. Furthermore, the results have shown that organizational factor was the most important one determining the extent e-exporting applications being implemented and the environmental factor was the most important one determining the exporting performance. These resultsprovide empirical evidence that the integration approach of the adoption model could produce better explanation of the variation on both the level of e-exporting applications being practised and the business performance. In the final section, research implications and future directions are presented.
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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 | 0.003 | 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 | 0.001 | 0.002 |
| 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".