In Simple Words
Think of teaching sports techniques to a beginner; a student is far more likely to permanently retain basic fundamental drills that everyone in the league uses than obscure, hyper-complex tactical plays that nobody else in their town practices.
Observed management practices
- Common before consulting
- More likely maintained
- Uncommon before consulting
- More likely dropped
Common practices were more likely maintained. This is an association, not proof that novelty causes reversion. Observed association, 2011 to 2017. Regression coefficient 0.095; no group retention rates reported.
See source →Research question
External management consultants often attempt to instill advanced, highly specialized management practices in poorly managed firms, leading to high post-intervention drop rates.
Participants
1,042 practice-by-plant cells across 28 manufacturing plants in 17 family-owned textile firms near Mumbai, India.
Study Design
OLS regression analysis linking practice-level changes between 2011 and 2017 to baseline 2008 usage frequency across all study plants.
Results
Baseline practice prevalence in 2008 was a statistically significant positive predictor of practice retention from 2011 to 2017 (coefficient = 0.095, p<0.05), demonstrating that standard industry practices persist while novel, advanced practices revert.
Takeaway
Focus management transformation programs on embedding standard industry-wide operational practices before introducing complex or novel analytical routines.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Baseline
The starting measurements in a study. Researchers use these to compare what participants were like at the start with what happens later.
ExampleBefore a training programme starts, researchers measure workers’ earnings. That first measurement is the baseline.
GET-IT glossary · Baseline characteristics ↗Read more about baseline →- Statistically significant
A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.
ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.
American Statistical Association · Statement on p-values ↗Read more about statistically significant →