An optimized model for open innovation success in manufacturing SMES

An optimized model for open innovation success in manufacturing SMES
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制造业中小企业开放式创新成功的优化模型

DOI:
10.1051/ro/2021161
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发表时间:
2021
期刊:
RAIRO Oper. Res.
影响因子:
--
通讯作者:
Mahnaz Ali Heidarloo
Mahnaz Ali Heidarloo
中科院分区:
--
文献类型:
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作者:
Amir Hakaki;M. S. Nikabadi;Mahnaz Ali Heidarloo

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鉴于市场的波动以及中小企业的资金和资源限制,创新是这些公司提高业绩、获得竞争优势和增加生存可能性的解决办法之一。本文旨在确定制造业中小企业开放式创新成功的有效因素的最佳排名。在第一阶段,根据275名专家的意见,使用结构方程模型调查了最重要的因素。最后,在12位专家的意见中,运用模糊DEMATEL方法计算出各因素对其他因素的影响程度。最后,利用蚁群优化算法对所研究的因素进行优化排序。因此,经济因素、供应商、竞争对手、合作伙伴、企业战略、企业结构、奖励制度、员工、IT支持、组织学习、大学、研究机构和生态问题对开放式创新成功的累积影响最大,排在第一到第十三位。建议制造业中小企业发展与大学和研究机构的关系,以改善创新过程。此外,这些公司应该与合作伙伴协调公司的战略,作为最重要的开放式创新成功因素之一,以获得竞争优势。
Given the fluctuations in markets and the financial and resource constraints of SMEs, innovation is one of the solutions for improving performance, gaining competitive advantage and increasing survival probability for these companies. The paper aims to determine the best ranking of effective factors in open innovation success in manufacturing SMEs. At the first stage, the most important factors investigated using structural equation modelling based on the opinion of 275 experts. Subsequently, the impact level of each factor on the others calculated by fuzzy DEMATEL among 12 specialists’ viewpoints. In the end, optimized ranking of studied factors obtained by Ant Colony Optimization algorithm. As a result, economic factors, suppliers, competitors, partners, firm’s strategy, firm’s structure, reward system, employees, IT support, organizational learning, universities, research institutions, and ecological issues hold the first to the thirteenth rank with the highest cumulative impact on open innovation success. Developing relations with universities and research institutions for improving innovation process is recommended to manufacturing SMEs. In addition, these companies should coordinate firm’s strategy as one of the most important open innovation success factors with partners to gain competitive advantages against competitors.