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Related Experiment Video

Updated: Jul 5, 2025

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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When and how scientists influence technological performance: A moderated mediation model.

Jinxing Ji1, Jieyu Song1, Na Liu2

  • 1School of Management, Zhongnan University of Economics and Law, Wuhan, China.

Plos One
|January 25, 2024
PubMed
Summary
This summary is machine-generated.

Scientists indirectly boost technological performance by influencing team membership turnover. Team internationalization weakens this effect, while team coreness strengthens it, impacting invention quantity and quality.

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Area of Science:

  • Innovation Management
  • Organizational Behavior
  • Science and Technology Studies

Background:

  • Prior research focused on direct scientist impact on technology.
  • This study examines indirect influence on team-level technological performance.
  • Integrates knowledge-based and network dynamics theories.

Purpose of the Study:

  • To explore how scientists influence team technological performance over time.
  • To assess membership turnover as a mediator in the science-technology performance link.
  • To investigate the moderating roles of team internationalization and coreness.

Main Methods:

  • Utilized an unbalanced panel dataset from Huawei and Intel (2000-2022).
  • Applied Tobit and Negative Binomial models for data analysis.
  • Conducted robustness tests to validate findings.

Main Results:

  • Scientists indirectly influence invention quantity and quality via membership turnover.
  • Team internationalization weakens the indirect effect of scientists on technological performance.
  • Team coreness strengthens the indirect impact of scientists on technological performance.

Conclusions:

  • Membership turnover is a key mediator for scientists' indirect technological influence.
  • Team composition factors (internationalization, coreness) significantly moderate this mediation.
  • Understanding these dynamics is crucial for optimizing R&D team effectiveness.