In an experiment involving complex, non-routine

Solution

While the Wheel Network is the fastest and most accurate for simple, routine tasks, it fails during complex tasks because the central person (the hub) becomes overloaded with information (saturation/bottleneck). The All-Channel network, though slower and noisier initially, is more effective for complex problem-solving because it allows for multi-directional feedback and collective brainstorming.   In communication network research (notably by Bavelas and Leavitt), the effectiveness of a network depends heavily on the complexity of the task:

• Complex Tasks: The All-Channel network is superior because it allows for free-flowing exchange and collective processing. While it may start slower due to the high volume of interactions, it avoids the information overload that plagues centralized systems
• Central-Node Bottleneck: In a Wheel network, all information must pass through one central person. When tasks are non-routine and complex, this individual becomes overwhelmed (saturation), leading to errors and delays
• Member Satisfaction: Decentralized networks like the All-Channel typically result in much higher member satisfaction because everyone feels involved, whereas the Wheel often leaves peripheral members feeling frustrated