The mediating role of product planning and development on the relationship between markets strategies and export performance
Bibliographic record
Abstract
To ensure competition and survival of business, understanding the indicators or drivers of export performance is important. Based on the organizational learning theory and strategic fit theory, this study aims to test the influence of market exploration strategies (MERS) and market exploitation strategies (METS) on SMEs’ export strategic performance, export financial performance (EFP), and export customer performance (ECP). This study confirms the leading mediating role of product planning and development (PPD) in the effects of MERS and METS on export performance outcomes. The authors collected questionnaire data electronically from 122 experienced SMEs that conduct international transactions in Saudi Arabia. Results from the Analysis of Moment Structures indicate that MERS and METS positively influence export performance; PPD mediates the relationship between MERS and METS in export performance dimensions; and number of sales and ownerships are control variables that influence EFP and ECP, respectively. This study contributes to the literature and society by proposing a framework that addresses the direct and indirect relationships between export marketing strategies and PPD, and their effects on SMEs’ export performance.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".