The influence of psychological contracts on exporter–distributor relationships and export venture performance: the conditional role of institutional distance
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 This study explores the influence of informal “psychological contracts” (PCs), (as opposed to formal contractual relationships) on exporter–distributor relationships. Design/methodology/approach Data were obtained from a sample of 127 exporting small and medium-sized enterprises (SMEs) in New Zealand. The authors employed partial least squares structural equation modeling (PLS-SEM) for analyzing the measurement and structural models. Findings Psychological contract fulfillment (PCF) enhances affective commitment and calculative commitment. Moreover, affective and calculative commitments mediate the relationship between PCF and export venture performance (EVP). The authors also find that institutional distance (ID) weakens the relationship between PCF and both affective and calculative commitment. Additionally, ID moderates the strength of the mediating mechanism for affective commitment; thus, the authors present a moderated-mediation model. Originality/value To date, international relationship marketing (IRM) literature has focused on PC breach, and business-to-business (B2B) marketing literature has focused on the effects of PCs on affective/relational commitment. This study offers novel insights by demonstrating the positive indirect effect of PCF on EVP via the mediating variables – affective and calculative commitment. The authors' findings also present a conditioning role of ID on the micro-level relationships of PCs.
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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 | 0.002 |
| 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 | 0.000 |
| 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 it