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How Does Coaching Leadership Influence Technical Workers' Taking Charge Behavior? A Job Demands -Resources
Yiru Wang1,2, Xuan Yu1, Hantai Zhang3
1School of Economics and Management, Southwest Petroleum University, Chengdu, China.
Coaching leadership enhances technical workers' proactive behavior by improving their task crafting. Task difficulty further amplifies this positive effect, boosting organizational competitiveness.
Area of Science:
- Organizational Behavior
- Human Resource Management
- Technological Innovation
Background:
- Employee proactive behavior is crucial for organizational competitiveness in rapidly changing technological landscapes.
- The job demands-resources (JD-R) model provides a framework for understanding employee motivation and behavior.
- Technical workers' initiative-taking is vital for innovation and sustainability.
Purpose of the Study:
- To investigate the impact of coaching leadership on technical workers' taking charge behavior.
- To examine the mediating role of task crafting in the coaching leadership-taking charge relationship.
- To explore the moderating effect of task difficulty on this relationship.
Main Methods:
- A multi-wave, multi-source survey was conducted among 351 leader-employee dyads in a Chinese manufacturing company.
- Data analysis employed statistical methods to test the proposed mediation and moderation hypotheses.
- The study focused on technical workers within an innovative manufacturing context.
Main Results:
- Coaching leadership positively influences employees' taking charge behavior.
- Task crafting mediates the relationship between coaching leadership and taking charge behavior.
- Task difficulty positively moderates the effect of coaching leadership on task crafting and subsequent taking charge behavior.
Conclusions:
- Coaching leadership is an effective strategy for fostering proactive employee behavior in technical roles.
- Enhancing task crafting and leveraging task difficulty are key to maximizing the benefits of coaching leadership.
- Findings offer theoretical insights into the JD-R model and practical guidance for management in innovative manufacturing firms.
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