Personnel Turnover and Team Performance from Laboratory and Simulation Experiments

Experimental and simulation data from a multi-method research project on personnel turnover in work teams. The project employed laboratory experiments and computer simulations to study the impact of newcomers on transactive memory systems and team innovation. The author is John M. Levine, and the dataset is sourced from the paperswithcode platform.

Use Cases

• Modeling the impact of newcomer skill information on team transactive memory based on the described production task experiments.
• Predicting conditions for successful team strategy innovation by newcomers based on the described decision-making task experiments.
• Simulating turnover effects in larger groups over longer time periods based on the described simulation studies.

Strengths

• Data originates from a multi-method research design employing both laboratory experimentation and computer simulation.
• Experimental studies investigated specific mechanisms like transactive memory systems and conditions for innovation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

John M. Levine via paperswithcode

Collection Method

Laboratory experimentation and computer simulation as described in the project abstract.