Creativity reputation allocation in open and distributed innovation
研究了在跨组织合作的创意工作中，如何分配声誉以最准确反映创意工作者的能力，通过模拟模型比较了四种声誉分配机制，发现团队合作会降低声誉准确性，并挑战了当前创意工作者的招聘实践。
Much of today's creative work crosses organizational borders. This limits the possibilities for directly compensating creative workers. Thus, other forms of reward, such as reputation-building, are necessary. This study builds on the concept of creative reputation (reputation for creativity) and signaling theory. It asks how reputation should be assigned to creative workers to reflect their creative abilities most accurately. We illustrate reputation allocation using the example of the academic system and develop a simple computational model to compare how different reputation allocation mechanisms—varying in how they utilize observable information about creative workers' outcomes—produce reputations for individual creative workers. The insights derived from the model contribute to our understanding of open and distributed innovation systems. They also challenge current practices in evaluating and recruiting creative workers and motivate future research on creative reputation and reputation allocation. • How should reputation be allocated to reflect the abilities of creative workers optimally? • Our simulation model compares four reputation allocation mechanisms. • Teamwork, compared to individual creative work, reduces the accuracy of reputation. • We discuss reputation allocation in open innovation and distributed innovation. • Our results challenge current hiring practices for creative workers, including academics.