Balancing structure and flexibility: A framework for understanding formal and informal innovation networks

灵活性(工程) 计算机科学 知识管理 业务 过程管理 经济 管理
作者
Zornitsa Yordanova,Маргарита Богданова,Искра Пантелеева,Lyubomira Todorova
出处
期刊:Journal of open innovation [Springer Science+Business Media]
卷期号:11 (2): 100550-100550 被引量:10
标识
DOI:10.1016/j.joitmc.2025.100550
摘要

Understanding the balance between structure and flexibility in innovation networks is critical for optimizing collaboration, adaptability, and innovation outcomes in increasingly complex ecosystems. This study conducts an integrative literature review of 136 peer-reviewed articles from Scopus and Web of Science to systematically examine the distinguishing characteristics, challenges, and indicators of formality within formal and informal innovation networks. Formal networks are defined by hierarchical structures, contractual governance, and regulated communication channels, while informal networks thrive on trust-based relationships, spontaneous interactions, and social capital. Despite their differences, both types frequently intersect, shaping innovation performance in complementary ways. Guided by three research questions, this study identifies (RQ1a) the key characteristics, (RQ1b) the management challenges, and (RQ2) a set of measurable indicators of network formality. Findings are synthesized into a conceptual framework that categorizes formality across four dimensions: structural features, interaction patterns, purpose alignment, and control mechanisms. This framework offers both theoretical advancement and practical insights for managing innovation networks, highlighting how different degrees of formality influence knowledge sharing, governance, and adaptability. By addressing critical gaps in the literature—such as the dynamic evolution of networks, the impact of digital technologies, and the emergence of hybrid forms—this study provides a structured foundation for future empirical research and supports organizations in designing balanced innovation strategies that integrate the strengths of both formal and informal networks.
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