The Development of the Net Present Value (NPV) Rule ¨C Religious Prohibitions and Its Evolution
Bibliographic record
Abstract
This paper describes the development of the net present value (NPV) rule. Today, net present value is a globally accepted methodology for investment appraisal in companies. Compared to other management techniques, net present value was developed and popularised comparatively late. The ban on interest, especially on compound interest, in religion and philosophy is identified as a key obstacle to its development, since compound interest is crucial for calculating NPV. German scholar Gottfried Wilhelm Leibniz¡¯s work made an important contribution to its advance in financial theory and practice. His work was adopted especially in Germany during the 18th and 19th century, but criticism and the allegation of usury was still present. One century later the instrument was advocated by engineering economics with the main representative Wellington and Grant in the early 20th century. Nevertheless, the breakthrough in practice was slow, and the rule was only established as a management tool after World War II, where practitioners like the management consultant Dean played a key role.
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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 | 0.000 | 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 | 0.000 | 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 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".