Using the endowment effect to explain managerial resistance towards codetermination: Implications for employment relations from the German case
Bibliographic record
Abstract
Abstract This article provides an innovative defence of codetermination by way of exploring two of the most significant theorised objections to it from neo‐liberal and libertarian perspectives, namely the defence of the right to manage as freely chosen by employees and employers alike, and the right to manage being the most efficient, lowest transaction cost mode of employee governance. Instead, we focus upon management preference emanating from the endowment effect, and manifested in management style and ideology, as a more credible explanation for management's support for its prerogative to manage. The endowment effect prompts both strong employer and manager objections to codetermination and weak employee willingness to seek it because humans place more value upon items currently in their possession than upon those they do not possess. We explore this argument by examining the experience of codetermination in Germany. The significance of our argument lies in identifying managerial preference as the key variable to be challenged and changed in order to pacify management opposition to codetermination through political, ideological, and institutional means.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".