The Radical Behavioural Challenge and Wide-Scope Obligations in Business
Bibliographic record
Abstract
This paper responds to the Radical Behavioral Challenge (RBC) to normative business ethics. According to RBC, recent research on bounded ethicality shows that it is psychologically impossible for people to follow the prescriptions of normative business ethics. Thus, said prescriptions run afoul of the principle that nobody has an obligation to do something that they cannot do. I show that the only explicit response to this challenge in the business ethics literature (due to Kim et al.) is flawed because it limits normative business ethics to condemning practitioners’ behaviour without providing usable suggestions for how to do better. I argue that a more satisfying response is to, first, recognize that most obligations in business are wide-scope which, second, implies that there are multiple ways of fulfilling them. This provides a solid theoretical grounding for the increasingly popular view that we have obligations to erect institutional safeguards when bounded ethicality is likely to interfere with our ability to do what is right. I conclude with examples of such safeguards and some advice on how to use the research findings on bounded ethicality in designing ethical business organizations.
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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 | 0.020 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.055 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".