Effects of Organizational Motives on Relationship Continuity: The Moderating Role of Corporate Cultural Similarity
Bibliographic record
Abstract
This study was aimed to disaggregate the relationship commitment construct into organizational motives component and relationship continuity component and investigate the effects of the motives on relationship continuity. These motives were based on the three-component conceptualization of organizational commitment, which included affective, structural, and normative motives. Constructs associated with affective motives were relationship value and trustworthiness, whereas constructs related to structural motives were switching costs and comparison level of the alternatives. Corporate cultural similarity was proposed to be the key construct associated with normative motives. The results showed that all five constructs associated with the three groups of motives had significant effects on relationship continuity. Trustworthiness was found to have the strongest effect on relationship continuity, followed by relationship value, switching costs, comparison level of the alternatives, and corporate cultural similarity. In addition, corporate cultural similarity was found to moderate the effect of switching costs on relationship continuity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".