Optimization models for member firms selection to build an embedded innovation ecosystem

被引：2

作者：

Zhang, Kuncan ^{[1
,2
]}

机构：

[1] Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China

[2] Univ Chinese Acad Sci, Sch Econ & Management, 3 Zhongguancun South Rd, Beijing 100190, Peoples R China

来源：

MANAGERIAL AND DECISION ECONOMICS | 2023年 / 44卷 / 06期

基金：

中国国家自然科学基金;

关键词：

DETERMINANTS; PERFORMANCE; STRATEGIES; KNOWLEDGE;

D O I：

10.1002/mde.3902

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Innovation is important for large enterprises to maintain and enhance their competitive advantages. Large enterprises can build strategic embedded relationships with a plenty of innovation technology enterprises via resources empowering and foster a new type of innovation ecosystem, namely, embedded innovation ecosystem. We decompose this decision-making into two stages and first establish an optimization model to describe how focal firms select the innovation directions, that is, which market segment to invest in. We then construct a two-layer planning model to describe how focal firms select member firms with an appropriate innovation level in a given innovation direction.

引用

页码：3696 / 3705

页数：10

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