Cultural Learning by Hiring New Leaders: Perpetuating Effect of Cultural Tightness in Groups
Bibliographic record
Abstract
Organizational cultures form the social fabric of employees’ work lives. How employees respond to transitions, whether leaving an organization to join a new one as a leader, or receiving a new leader from outside of the organization, has important implications for an organization’s culture and work group cultures. With multi-wave and multi-source data collected from 372 employees in 91 work groups of a single firm, our study examined an organization’s cultural learning by hiring new leaders. In other words, group leaders were hired from outside, essentially newcomers to the organization, while group members were organizational insiders. We found that new groups acquired the culture of their leaders’ former groups; cultural tightness that leaders experienced in their former groups had enduring effects on the culture of their new groups, which in turn influenced negative and positive deviant behavior of members in these groups. The effects were stronger when the leaders identified or had longer tenures with their former groups. On the other hand, the effects disappeared when group identification or tenure with the former groups were low.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".