实施创新开放的经济绩效预测

K. Jespersen
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引用次数: 0

摘要

开放创新扩散的早期阶段也阻碍了传统研究方法在商业经济学中的应用。基于agent的模型仿真(ABMS)是企业管理研究中比较新的一种合适的研究方法。因此,本文的目的也是建立一个开放式创新ABMS,以探讨竞争环境下创新开放性和初始能力禀赋对企业创新经济学的相对影响。在这方面,ABMS被用作组织行为和行业动态的数据生成方法。ABMS是数字角色扮演和实验设计的结合。研究发现,ABMS的设计和使用有助于扩大和检验ABMS在社会科学中的有用性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting economic performance of implemented innovation openness
The early stage of open innovation diffusion also hinders the use of traditional research methods in business economics. A suitable research method though relatively new in business management research is agent-based modeled simulations (ABMS). The aim of the paper is therefore also to develop an open innovation ABMS to explore the relative effects of innovation openness and initial capability endowment on firm innovation economics in a competitive context. In this respect the ABMS is applied as a data generating methodology of organizational behavior and industry dynamics. The ABMS acts as a combination of digital role play and experimental design. It is found that design and use of ABMS contribute to enlargement and testing of the usefulness and applicability of ABMS in social science.
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