How innovation community embeddedness impacts firms' innovation performance: Evidence from the global 3D printing industry

被引:0
作者
Xu, Guannan [1 ]
Kang, Ning [1 ,2 ]
Meissner, Dirk [3 ]
Zhou, Yuan [2 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China
[2] Tsinghua Univ, Sch Publ Policy & Management, Beijing 100084, Peoples R China
[3] Natl Res Univ Higher Sch Econ, Inst Stat Studies & Econ Knowledge, Moscow 101000, Russia
来源
FRONTIERS OF ENGINEERING MANAGEMENT | 2025年
基金
中国国家自然科学基金;
关键词
innovation ecosystem; innovation community; collaboration complementarity; 3D printing industry; NETWORK EMBEDDEDNESS; STRUCTURAL HOLES; COLLABORATION NETWORKS; MODERATING ROLE; BROKERAGE; COMPLEMENTARITY; TECHNOLOGIES; ORIENTATION; PERSPECTIVE; INVENTION;
D O I
10.1007/s42524-025-4188-x
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The acceleration of digitalization and networking in the global landscape has been prompting organizations to connect into innovation communities beyond geographic boundaries within innovation ecosystems. These communities, consisting of firms that collaborate frequently, serve as a vital sub-environment for co-innovation and value creation. Despite the significant role played by these innovation communities, the impact of a firm's embeddedness within these communities on its innovation performance remains underexplored. This paper addresses this gap by examining the effects of both within-community and cross-community embeddedness on firm innovation, with a specific focus on the contingency of collaboration complementarity. We introduce a conceptual model analyzing the effects of both relational and structural embeddedness within and across communities. An empirical study is conducted using 22 years of panel data from the global 3D printing industry. We construct patent collaboration networks among 6,109 relevant organizations over 5-year windows and identify innovation communities in each network through topological clustering algorithms. A negative binomial regression model is employed to test our hypotheses. Our findings reveal that firms benefit from both within-community and cross-community embeddedness. Notably, firms with higher collaboration complementarity experience greater benefits from within-community relational embeddedness and cross-community structural embeddedness, while those with lower complementarity gain more from cross-community relational embeddedness. This research enriches the innovation ecosystem literature by introducing an innovation community perspective and highlighting how embeddedness, coupled with collaboration orientation, drives firm-level innovation. Additionally, it offers insights into how firms can leverage collaborations and optimize their positions within innovation ecosystems to enhance their innovation performance.
引用
收藏
页数:16
相关论文
共 71 条
[1]   Value Creation Tradeoff in Business Ecosystems: Leveraging Complementarities While Managing Interdependencies [J].
Agarwal, Shiva ;
Kapoor, Rahul .
ORGANIZATION SCIENCE, 2023, 34 (03) :1216-1242
[2]   Resource congestion in alliance networks: How a firm's partners' partners influence the benefits of collaboration [J].
Aggarwal, Vikas A. .
STRATEGIC MANAGEMENT JOURNAL, 2020, 41 (04) :627-655
[3]   Collaboration networks, structural holes, and innovation: A longitudinal study [J].
Ahuja, G .
ADMINISTRATIVE SCIENCE QUARTERLY, 2000, 45 (03) :425-455
[4]   An information-theoretic perspective of tf-idf measures [J].
Aizawa, A .
INFORMATION PROCESSING & MANAGEMENT, 2003, 39 (01) :45-65
[5]   Fixed-effects negative binomial regression models [J].
Allison, PD ;
Waterman, RP .
SOCIOLOGICAL METHODOLOGY 2002, VOL 32, 2002, 32 :247-265
[6]   Networks and Innovation: Accounting for Structural and Institutional Sources of Recombination in Brokerage Triads [J].
Balachandran, Sarath ;
Hernandez, Exequiel .
ORGANIZATION SCIENCE, 2018, 29 (01) :80-99
[7]   Focusing the ecosystem lens on innovation studies [J].
Baldwin, Carliss Y. ;
Bogers, Marcel L. A. M. ;
Kapoor, Rahul ;
West, Joel .
RESEARCH POLICY, 2024, 53 (03)
[8]   Fast unfolding of communities in large networks [J].
Blondel, Vincent D. ;
Guillaume, Jean-Loup ;
Lambiotte, Renaud ;
Lefebvre, Etienne .
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2008,
[9]   Finding local community structure in networks [J].
Clauset, A .
PHYSICAL REVIEW E, 2005, 72 (02)
[10]   Brokerage as a Public Good: The Externalities of Network Hubs for Different Formal Roles in Creative Organizations [J].
Clement, Julien ;
Shipilov, Andrew ;
Galunic, Charles .
ADMINISTRATIVE SCIENCE QUARTERLY, 2018, 63 (02) :251-286