Revising the IT outsourcing decision model:a transaction cost perspective
Bibliographic record
Abstract
Williamsonâs (1979) transaction cost theory (TCT) has been widely used in information technology (IT) outsourcing research. This research, however, has led to mixed and unexpected results. From a theoretical standpoint, this paper argues that the conceptualization of the constructs and, more importantly, the linkage among constructs that IT outsourcing decision models have hypothesized are not completely in line with TCT. By reviewing the extant IT outsourcing decision models, this paper proposes a model of IT outsourcing decision that is closer to TCT than its predecessors. The model links transaction attributes to the outsourcing decision through a cost analysis mechanism, and also includes some attributes of transactions that have been ignored in past IT outsourcing research. In addition, the proposed model re-examines the role of some transaction attributes by taking into account their moderating effects.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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".