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| Incremental Innovation or Radical Innovation: the Impact of Individual Innovation Amplitude on Crowdsourcing Performance with Agent-based Simulation |
| Yan Jie |
| (Sichuan Yibin Wuliangye Group Co., Ltd., Yibin 644000, China) |
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Abstract Combined with TCPE framework and NK model, by introducing individual innovation amplitude to represent individual innovation search behavior and individual bounded rationality level and bounded rationality bias to represent individual cognitive ability, this paper constructs a simulation model to simulate crowdsourcing problem solving process, exploring the influence mechanism of individual innovation amplitude on crowdsourcing performance and the regulatory role of individual bounded rationality and task complexity. The results show that there are two influence modes between individual innovation amplitude and crowdsourcing performance. When the task is very simple, there is a negative correlation; when the task is relatively complex, there is an inverted U-shaped relationship; Meanwhile, the two influence modes are not regulated by individual bounded rationality level and bounded rationality bias. In relatively complex tasks, the task complexity and individual bounded rationality bias will adjust the individual innovation amplitude corresponding to the optimal crowdsourcing performance. The higher the task complexity is, the greater the individual bounded rationality bias is, and the individual innovation amplitude corresponding to the optimal crowdsourcing performance will increase accordingly. Besides, the individual innovation amplitude will weaken the impact of individual cognitive ability on crowdsourcing performance. When individual cognitive ability is strong, incremental innovation is needed; when individual cognitive ability is weak, radical innovation is needed. The conclusions can provide a theoretical basis for enterprises to create a platform innovation atmosphere in the process of crowdsourcing.
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Received: 12 March 2021
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