The Many Futures of Contracts
Bibliographic record
Abstract
In this article, we review the literature on interfirm contracting in an effort to synthesize existing research and direct future scholarship. While transaction cost economics (TCE) is the most prominent perspective informing the “optimal governance” and “safeguarding” function of contracts, our review indicates other perspectives are necessary to understand how contracts are structured: relational capabilities (i.e., building cooperation, creating trust), firm capabilities, relational contracts, and the real option value of a contract. Our review also indicates that contract research is moving away from a narrow focus on contract structure and its safeguarding function toward a broader focus that also highlights adaptation and coordination. We end by noting the following research gaps: consequences of contracting, specifically outcome assessment; strategic options, decision rights, and the evolution of dynamic capabilities; contextual constraints of relational capabilities; contextual constraints of contracting capabilities; complements, substitutes, and bundles; and contract structure and social process.
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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 | 0.016 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.039 |
| Scholarly communication | 0.016 | 0.036 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".