Find the “best evidence” of the relationship between network embeddedness and enterprise disruptive innovation performance

IF 4.5 3区 管理学 Q1 BUSINESS Business Process Management Journal Pub Date : 2024-07-19 DOI:10.1108/bpmj-03-2024-0191
Neng Shen, Jing Zhang, Yangchun Cao
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Abstract

Purpose

In the context of open innovation, more and more enterprises are leveraging innovation networks to drive disruptive innovation performance, but there is no consensus on the relationship between network embeddedness and enterprise disruptive innovation performance. This paper aims to systematically explore the relationship between them.

Design/methodology/approach

This paper constructs a multi-level network embeddedness model and uses 58 independent studies as samples to explore the relationship between multi-level network embeddedness and enterprise disruptive innovation performance by meta-analysis.

Findings

First, network embeddedness at the enterprise and regional levels will promote the improvement of disruptive innovation performance. Although industrial relationship embeddedness will promote the improvement of disruptive innovation performance, its structural embeddedness will bring negative effects. Second, in terms of mediating effect, policy-oriented support will promote the relationship between network embeddedness and disruptive innovation performance at the enterprise and industry levels. Compared with large enterprises, small- and medium-sized enterprises will have more advantages in the performance of multi-level network embedding and disruptive innovation performance. Under the subjective performance measurement method, the promotion effect of multi-level network embedding is more prominent.

Research limitations/implications

This study enriches the theoretical research of network embeddedness and disruptive innovation and provides management enlightenment for the network embeddedness strategy of enterprise disruptive innovation. Limited by data samples and article length, future research can further expand literature samples to test the stability of variable relationships and test the moderating effects of more internal and external factors.

Originality/value

First, it constructs a theoretical analysis model of “point-line-surface” multi-level network embedding and disruptive innovation performance of enterprises and expands the theoretical analysis framework of network embedding and disruptive innovation performance. The second is to explore the influence mechanism of multi-level network embeddedness and enterprise disruptive innovation performance. Third, it deepens the theoretical understanding of the moderating variables of the impact of network embeddedness and enterprise disruptive innovation performance.

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寻找网络嵌入性与企业颠覆性创新绩效之间关系的 "最佳证据
目的在开放式创新的背景下,越来越多的企业开始利用创新网络来推动企业的颠覆式创新绩效,但对于网络嵌入性与企业颠覆式创新绩效之间的关系还没有达成共识。本文构建了多层次网络嵌入度模型,以 58 个独立研究为样本,通过元分析方法探讨了多层次网络嵌入度与企业颠覆性创新绩效之间的关系。研究结果首先,企业和地区层面的网络嵌入度会促进企业颠覆性创新绩效的提升。虽然产业关系嵌入性会促进企业颠覆性创新绩效的提高,但其结构嵌入性会带来负面影响。其次,从中介效应来看,政策导向支持将在企业和产业层面促进网络嵌入性与颠覆式创新绩效之间的关系。与大型企业相比,中小企业在多层次网络嵌入与颠覆性创新绩效的表现上将更具优势。在主观绩效测量方法下,多层次网络嵌入的促进作用更为突出。研究局限性/启示本研究丰富了网络嵌入与颠覆性创新的理论研究,为企业颠覆性创新的网络嵌入战略提供了管理启示。受数据样本和文章篇幅限制,未来研究可进一步扩大文献样本,检验变量关系的稳定性,并检验更多内外部因素的调节作用。 原创性/价值一是构建了 "点-线-面 "多层次网络嵌入与企业颠覆性创新绩效的理论分析模型,拓展了网络嵌入与颠覆性创新绩效的理论分析框架。二是探索多层次网络嵌入与企业颠覆性创新绩效的影响机制。三是深化了对网络嵌入性与企业破坏性创新绩效影响调节变量的理论认识。
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来源期刊
CiteScore
8.60
自引率
9.80%
发文量
58
期刊介绍: Business processes are a fundamental building block of organizational success. Even though effectively managing business process is a key activity for business prosperity, there remain considerable gaps in understanding how to drive efficiency through a process approach. Building a clear and deep understanding of the range process, how they function, and how to manage them is the major challenge facing modern business. Business Process Management Journal (BPMJ) examines how a variety of business processes intrinsic to organizational efficiency and effectiveness are integrated and managed for competitive success. BPMJ builds a deep appreciation of how to manage business processes effectively by disseminating best practice. Coverage includes: BPM in eBusiness, eCommerce and eGovernment Web-based enterprise application integration eBPM, ERP, CRM, ASP & SCM Knowledge management and learning organization Methodologies, techniques and tools of business process modeling, analysis and design Techniques of moving from one-shot business process re-engineering to continuous improvement Best practices in BPM Performance management Tools and techniques of change management BPM case studies.
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