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How the timing of cooperation affects innovation outcomes: An agent-based model of postponing the coupled search process
SIMULATION ( IF 1.6 ) Pub Date : 2021-06-16 , DOI: 10.1177/00375497211022820
Jie Liu 1 , Tieju Ma 1
Affiliation  

Organizations may face the problem of whether and when they should cooperate with others to accomplish a novel task. Prior literature answers this problem based on the transaction costs of cooperation, but ignores the effect of cooperation timing on innovation outcomes. Will postponing cooperation influence innovation outcomes? We develop a conceptual agent-based search and learning model to explore this question. We find that the timing of cooperation, the initial mental representations, and the search strategy jointly determine innovation search outcomes. Agents with initial mental representations that are inclined towards suboptimal outcomes can benefit more from postponing cooperation when the search strategy is exploitative. This study inserts the practical innovation problem into the framework of adaptive learning models and provides a novel perspective from which to understand the timing of cooperation.



中文翻译:

合作时机如何影响创新成果:基于代理的延迟耦合搜索过程模型

组织可能面临是否以及何时应该与他人合作完成一项新任务的问题。先前的文献基于合作的交易成本回答了这个问题,但忽略了合作时机对创新成果的影响。合作延期是否会影响创新成果?我们开发了一个基于概念代理的搜索和学习模型来探索这个问题。我们发现合作的时机、最初的心理表征和搜索策略共同决定了创新搜索的结果。当搜索策略具有剥削性时,具有倾向于次优结果的初始心理表征的代理可以从推迟合作中受益更多。

更新日期:2021-06-17
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