Abstract:

Facing escalating environmental challenges and global competition, manufacturing enterprises must adopt disruptive green innovation strategies to achieve sustainable economic and environmental benefits. Disruptive green innovation refers to the process where enterprises introduce green products or services with different performance attributes from those required by mainstream consumers, initially targeting low-end or niche markets, and gradually improving the product to disrupt the mainstream market. Despite its importance in enhancing sustainable competitiveness and meeting the "dual carbon" goals, disruptive green innovation faces challenges due to its complexity, high risks, and uncertainty. This raises an important question: What factors lead to the more effective implementation of disruptive green innovation, and how do these factors interact?

This study adopts a mixed-methods approach by combining case studies of BYD and Luyuan with fuzzy-set qualitative comparative analysis (fsQCA), to explore the factors driving disruptive green innovation. The results of case study identify several key drivers, including innovation ecosystem coopetition, green knowledge acquisition, green R&D investment, environmental resource coordination, and big data analytics capability. Using survey data from 332 manufacturing enterprises in strategic emerging industries, this study applies fsQCA to uncover configurational pathways driving disruptive green innovation. Key findings include: (1) Innovation ecosystem coopetition, green knowledge acquisition, green R&D investment, environmental resource orchestration, and big data analytics capability constitute core antecedents of disruptive green innovation. (2) No single antecedent is a necessary condition for disruptive green innovation. (3) Six configurational paths enabling high disruptive green innovation are categorized into four types: knowledge-data-driven pathway under cooperation dominance, knowledge-R&D-driven pathway under competition dominance, R&D-data-driven pathway under coopetition dominance, capability-led driven pathway, with substitutable relationships among element combinations under specific conditions. (4) Non-high disruptive green innovation configurations fall into two types: collaboration-resource-data-constrained and knowledge-R&D-data-constrained. This research provides theoretical and practical insights into how enterprises achieve disruptive green innovation across diverse contexts.

This study makes several theoretical contributions. First, this study enriches the research on antecedent factors of disruptive green innovation by case study. Currently, research on the drivers of disruptive green innovation is still in its early stages. Through exploratory case studies, this study investigates key antecedents of disruptive green innovation and expands the understanding of this concept. Second, this study also identifies the configuration paths driving disruptive green innovation, which improves and deepens the analytical paradigm of its formation mechanism. Existing studies on the antecedents of disruptive green innovation have rarely focused on the joint effects of multiple factors. Given the complexity and systemic nature of disruptive green innovation, this study applies the fsQCA method from a configurational perspective to explore the co-action of factors such as innovation ecosystem coopetition, green knowledge acquisition, green R&D investment, environmental resource orchestration, and big data analytics capability. By adopting a mixed-methods approach, this study offers a more comprehensive interpretation of the research model, revealing results that might be overlooked by a single method. This approach helps to improve the understanding of how enterprises conduct disruptive green innovation.

From a practical perspective, this study suggests that enterprises should adjust their innovation paths based on their strengths and market demands, optimizing their roles and strategies within the innovation ecosystem, especially when facing international competition. Digital technologies, particularly big data analytics capability, are identified as key drivers for disruptive green innovation. Enterprises should also strengthen coopetition relationships with partners, engage in cross-sector collaboration, and share knowledge to enhance green innovation. Additionally, investing in green R&D and improving resource coordination are essential for achieving sustainable green innovation.

Key words: disruptive green innovation, innovation ecosystem coopetition, big data analytics capability, fuzzy-set qualitative comparative analysis (fsQCA)

摘要：

面对日益严峻的环境挑战与国际竞争,制造企业亟须采用颠覆性绿色创新战略以实现可持续的经济效益和环境效益。采用混合研究方法,首先通过对比亚迪和绿源的案例分析提炼出企业颠覆性绿色创新的影响因素,而后基于战略性新兴产业中的332家制造企业的调研数据,运用fsQCA方法识别驱动企业颠覆性绿色创新的作用路径。研究发现:(1)创新生态系统竞合关系、绿色知识获取、绿色研发投入、环境资源协奏和大数据分析能力是企业颠覆性绿色创新的主要前因变量;(2)单一前因变量不构成颠覆性绿色创新的必要条件;(3)驱动企业高颠覆性绿色创新的6条组态路径可分为四大类:合作主导下的知识-数据驱动型、竞争主导下的知识-研发驱动型、竞合主导下的研发-数据驱动型、能力主导驱动型,且在一定条件下,实现高颠覆性绿色创新的要素组合之间具有替代关系;(4)产生非高颠覆性绿色创新的组态解可归为合作-资源-数据抑制型与知识-研发-数据抑制型2类。本文对解释不同情境下企业实现颠覆性绿色创新的作用路径具有重要的理论与实践意义。

关键词: 颠覆性绿色创新, 创新生态系统竞合关系, 大数据分析能力, 模糊集定性比较分析