Journal of Innovation & Knowledge最新文献_第6页

Diffusion of innovation in controlled environment agriculture: A mixed-methods study of digital decision support tool adoption 受控环境农业创新的扩散：数字决策支持工具采用的混合方法研究

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-20 DOI: 10.1016/j.jik.2025.100882

Lauren Lindow , Catherine Campbell , Coleman Longwater , Ying Zhang , Ana Martin-Ryals , Ziynet Boz

Controlled environment agriculture (CEA) enables farmers to manage all aspects of crop growing environments. However, the complexity of operations necessitates decision-support tools (DSTs) that integrate and analyze large datasets for optimized management. Despite their benefits, the adoption of DSTs is influenced by factors beyond technical effectiveness, such as cost, usability, and perceived value. This study aimed to evaluate the experiences and perceptions of CEA operators regarding DSTs, identify barriers to adoption, and determine the characteristics necessary for widespread acceptance, using the Diffusion of Innovation Theory as a framework. A mixed-methods approach was employed, consisting of a survey of 44 CEA operators across the United States by in-depth interviews with 14 respondents. The survey and interviews explored DST experiences, concerns, and desired features, with data analyzed using thematic analysis. Farmers desired general farm management tools that could be easily customized to their specific needs and operations. Key preferences included seamless data integration across tools, automation, and Artificial Intelligence (AI) integration for predictive modeling and decision suggestions, while maintaining human oversight. Cost and trialability were major barriers, with farmers requiring financial benefits that outweigh costs. Complexity of use and incompatibility with existing workflows were significant deterrents to adoption. The findings underscore the importance of user-centered design, financial feasibility, and demonstrable tool performance. This study highlights critical factors influencing DST adoption in CEA and provides actionable insights for developers to design tools that are cost-effective, user-friendly, and customizable. Addressing these barriers can enhance adoption rates and optimize farm operations, ultimately advancing the CEA industry.

受控环境农业（CEA）使农民能够管理作物生长环境的各个方面。然而，操作的复杂性需要决策支持工具（DSTs）来集成和分析大型数据集，以优化管理。尽管它们有好处，但采用DSTs受到技术有效性以外的因素的影响，例如成本、可用性和感知价值。本研究旨在以创新扩散理论为框架，评估CEA运营商对DSTs的经验和看法，确定采用DSTs的障碍，并确定广泛接受DSTs所需的特征。采用混合方法，通过对14名受访者的深度访谈，对美国44家CEA运营商进行了调查。调查和访谈探讨了DST的经验、关注点和期望的功能，并使用主题分析对数据进行了分析。农民想要通用的农场管理工具，可以很容易地定制他们的具体需要和操作。主要偏好包括跨工具的无缝数据集成、自动化和用于预测建模和决策建议的人工智能（AI）集成，同时保持人工监督。成本和可试验性是主要障碍，农民要求经济效益超过成本。使用的复杂性和与现有工作流的不兼容性是阻碍采用的重要因素。研究结果强调了以用户为中心的设计、财务可行性和可演示的工具性能的重要性。该研究突出了影响CEA中DST采用的关键因素，并为开发人员提供了可操作的见解，以设计具有成本效益、用户友好和可定制的工具。解决这些障碍可以提高采用率并优化农场操作，最终推动CEA行业的发展。

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引用次数: 0

Stakeholder engagement and strategic innovation in higher education through AI competency 通过人工智能能力，利益相关者参与和高等教育的战略创新

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-19 DOI: 10.1016/j.jik.2025.100920

Margarita Núñez-Canal , María de las Mercedes de Obesso Arias , Carlos Alberto Pérez-Rivero , Ignacio Álvarez-de-Mon

This research answers the following question: How do the competencies and attitudes of university faculty toward artificial intelligence (AI) impact student learning? Using human capital theory and stakeholder theory, this research highlights the importance of university faculty. The research uses an adaptation of a digital competence framework specifically for AI competence. A total of 105 responses from professors in business studies (e.g., entrepreneurship, strategy, finance, and marketing) were collected from university faculty. Four hypotheses were proposed, two of which were confirmed. Professors' ability to leverage AI for feedback, assessment, and pedagogy is linked to their commitment to enhancing student learning. Professors' attitudes toward the use of AI, data governance, and ethical considerations are also associated with their focus on improving student learning. The study finds that faculty AI competence can enhance institutional effectiveness. Educators are a crucial resource for higher education institutions. Equipping them with the necessary skills for the effective use of AI can enhance both institutional capacity and pedagogical innovation.

本研究回答了以下问题：大学教师对人工智能（AI）的能力和态度如何影响学生的学习？本研究运用人力资本理论和利益相关者理论，强调了大学教师的重要性。该研究采用了一种专门针对人工智能能力的数字能力框架。从大学教师中收集了来自商业研究（如创业、战略、金融和市场营销）教授的105份回复。提出了四个假设，其中两个得到了证实。教授利用人工智能进行反馈、评估和教学的能力与他们提高学生学习的承诺有关。教授对使用人工智能、数据治理和伦理考虑的态度也与他们对改善学生学习的关注有关。研究发现，教师的人工智能能力可以提高机构的有效性。教育工作者是高等教育机构的重要资源。为他们提供有效使用人工智能的必要技能，可以加强机构能力和教学创新。

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引用次数: 0

Foundations of opportunity conviction: A configurational analysis of the COVID-19 recovery 机会信念的基础：COVID-19复苏的配置分析

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-19 DOI: 10.1016/j.jik.2025.100925

Adam W. Smith , Amir Pezeshkan

We examine the concept of opportunity conviction as a key indicator of the resilience of countries’ entrepreneurial ecosystems during crises. For entrepreneurship, opportunity conviction constitutes a joint-threshold outcome: it materializes only when opportunity visibility (the presence of credible signals of near-term demand and cash-flow potential) is sufficiently high, and deterrent risk (the perceived downside given institutional stability, available buffers, and hazard control) is sufficiently low. Using data from the Global Entrepreneurship Monitor (GEM) and applying fuzzy-set Qualitative Comparative Analysis (fsQCA), we identify how configurations of foundational contextual factors combine with policy measures to foster high opportunity conviction in 2021. Five configurations demonstrate the alternative recipes of contextual and policy conditions that achieve opportunity conviction in times of crisis. Theoretical and practitioner implications are discussed.

我们研究了机会信念的概念，将其作为危机期间国家创业生态系统弹性的关键指标。对于创业来说，机会信念构成了一个联合门槛的结果：只有当机会可见性（近期需求和现金流潜力的可信信号的存在）足够高，威慑风险（考虑到制度稳定性、可用缓冲和风险控制的预期下行风险）足够低时，它才会实现。利用全球创业监测（GEM）的数据，并应用模糊集定性比较分析（fsQCA），我们确定了基本背景因素的配置如何与政策措施相结合，以促进2021年的高机会信念。五种配置展示了在危机时期实现机会信念的环境和政策条件的替代配方。讨论了理论和实践意义。

引用次数: 0

Knowledge and behavior of young people on music streaming platforms: Factors driving their use 年轻人在音乐流媒体平台上的知识和行为：推动他们使用的因素

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-19 DOI: 10.1016/j.jik.2025.100927

Luis Díaz-Marcos , Óscar Aguado Tevar , Alberto Tomás Delso Vicente , María García de Blanes Sebastián

Music consumption has undergone a transformation with digitalization, establishing streaming platforms as the primary channel for accessing musical content. This transformation has been driven by ease of use, algorithmic personalization, and seamless integration with mobile devices. The objective of this research is to analyze the factors influencing the adoption of music streaming platforms, based on the UTAUT2 model. Four key variables are incorporated: ease of use, perceived usefulness, hedonic motivation, and habit, along with the additional variable of perceived innovation. A survey was conducted among 202 young people using streaming platforms, and the data were analyzed through Structural Equation Modeling (SEM) using IBM SPSS V.27 and AMOS V.27. The proposed model identifies the factors that determine usage intention and those that have no significant impact. The results show that habit is the primary predictor of usage, surpassing other variables such as ease of use, perceived usefulness, hedonic motivation, and innovation. This finding suggests that repeated behaviors automate platform use, reducing the influence of other factors on user decision-making. This research contributes to a deeper understanding of the central role of habit in the adoption of music streaming platforms, providing key insights for the development of user retention and loyalty strategies.

音乐消费经历了数字化转型，流媒体平台成为获取音乐内容的主要渠道。这种转变是由易用性、算法个性化以及与移动设备的无缝集成驱动的。本研究的目的是基于UTAUT2模型，分析影响音乐流媒体平台采用的因素。其中包含四个关键变量：易用性、感知有用性、享乐动机和习惯，以及感知创新这一附加变量。对202名使用流媒体平台的年轻人进行调查，使用IBM SPSS V.27和AMOS V.27，通过结构方程模型（SEM）对数据进行分析。建议的模型确定了决定使用意图的因素和那些没有显著影响的因素。结果表明，习惯是使用的主要预测因素，超过了其他变量，如易用性、感知有用性、享乐动机和创新。这一发现表明，重复的行为使平台使用自动化，减少了其他因素对用户决策的影响。这项研究有助于更深入地了解习惯在采用音乐流媒体平台中的核心作用，为开发用户保留和忠诚度策略提供关键见解。

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引用次数: 0

AI adoption in HR: AI trust in digitally lagging organisations 人工智能在人力资源中的应用：对数字落后组织的人工智能信任

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-18 DOI: 10.1016/j.jik.2025.100912

Alessia Zoppelletto , Ludovico Bullini Orlandi , Eleonora Veglianti , Cecilia Rossignoli

Artificial intelligence (AI) holds transformative potential for human resources (HR), yet its adoption remains limited, particularly within the broader context of digital transformation (DT). Although trust is widely recognised as a critical enabler of AI adoption, little is known about the organisational conditions under which this trust develops, especially in firms with low digital maturity. This study investigates how configurations of organisational factors, namely technology, digital skills, culture supporting DT and HR’s involvement in DT initiatives, can shape trust in AI adoption within HR practices. The methodological approach followed two steps: (1) the questionnaire design was validated through insights derived from interviews conducted during a case study analysis, and (2) a fuzzy-set qualitative comparative analysis using survey data was employed. The findings contribute to shedding light on trust enablers and hindering factors that positively influence AI adoption in HR practices. Results show that trust can emerge even in digitally less mature firms when HR functions are strategically involved in broader DT initiatives. Conversely, HR digital skills and functional involvement together with cultural readiness can foster trust independently without top-down managerial involvement. These findings challenge conventional assumptions that digital maturity and leadership engagement are conditions for fostering trust in the adoption of new technologies. By uncovering multiple pathways to trust, this study contributes theoretically by framing trust as a configurational, organisational-level outcome. This work aims to advance the discourse on technological innovation in HR, providing valuable insights for practitioners and scholars to support digitally lagging organisations navigating the challenges of AI adoption.

人工智能（AI）对人力资源（HR）具有变革潜力，但其应用仍然有限，特别是在更广泛的数字化转型（DT）背景下。尽管信任被广泛认为是人工智能采用的关键推动因素，但人们对这种信任发展的组织条件知之甚少，特别是在数字成熟度较低的公司中。本研究调查了组织因素的配置，即技术、数字技能、支持DT的文化和人力资源参与DT计划，如何在人力资源实践中塑造对人工智能采用的信任。研究方法分为两个步骤：(1)通过案例分析过程中访谈所得的见解对问卷设计进行验证；(2)使用调查数据进行模糊集定性比较分析。这些发现有助于揭示信任促成因素和阻碍因素，这些因素对人力资源实践中人工智能的采用产生了积极影响。结果表明，当人力资源职能战略性地参与更广泛的数字化创新计划时，信任甚至可以在数字不太成熟的公司中出现。相反，人力资源数字技能和职能参与以及文化准备可以独立地培养信任，而无需自上而下的管理参与。这些发现挑战了传统的假设，即数字成熟度和领导参与是促进对采用新技术的信任的条件。通过揭示信任的多种途径，本研究通过将信任框架化为配置的、组织层面的结果，在理论上做出了贡献。这项工作旨在推动人力资源技术创新的讨论，为从业者和学者提供有价值的见解，以支持数字落后的组织应对人工智能采用的挑战。

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引用次数: 0

From fragmentation to interoperability: How semantic models transform environmental, social, governance (ESG) reporting, knowledge, and sustainability governance 从碎片化到互操作性：语义模型如何转变环境、社会、治理（ESG）报告、知识和可持续性治理

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-17 DOI: 10.1016/j.jik.2025.100924

Annas Vijaya , Faris Dzaudan Qadri , Linda Salma Angreani , Hendro Wicaksono

Environmental, social, and governance (ESG) reporting faces persistent challenges, including fragmented standards, inconsistent metrics, misalignment with global sustainability goals, and limited stakeholder usability. Numerous studies prove that ontology-based solutions can address several challenges that occur during ESG reporting activities. Although semantic technologies offer valuable benefits for ESG reporting, their utilization in this field remains constrained. Most ontology-based solutions remain in developmental stages, and they are not broadly utilized since organizations lack an understanding of how these tools would help address their reporting problems. This study performs a systematic literature review (SLR) that investigates 19 peer-reviewed studies obtained from Scopus and Web of Science under Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) standards. The SLR identifies critical gaps: (1) existing ontology-driven solutions can address key problems in current ESG reporting; (2) quantitative evaluation methods are rarely integrated with semantic tools, limiting actionable insights; and (3) alignment with evolving standards like the Sustainable Development Goals (SDGs) remains superficial. Based on the SLR insights, this research develops a novel framework through SLR findings by combining ontology-driven methods with quantitative assessment techniques. The framework achieves standardization of various reporting standards through an ESG ontology system that maps essential concepts to build an extensive taxonomy. SDG targets become mutually compatible through established SDG ontologies to allow businesses to measure their activities against international sustainability goals. Fuzzy Multi-Criteria Decision-Making (MCDM) techniques used in combination with an ESG maturity model create quantitative measures to assess ESG performance. The method produces measurable performance indicators that are supported by clear semantic links that allow valid benchmark assessments combined with better data unification and improved decision-making capabilities. The research creates operational frameworks that enable ESG information interoperability, which advance sustainability governance innovation and guide ESG ontology transformations.

环境、社会和治理（ESG）报告面临着持续的挑战，包括支离破碎的标准、不一致的指标、与全球可持续性目标的不一致以及有限的利益相关者可用性。大量研究证明，基于本体的解决方案可以解决ESG报告活动中出现的几个挑战。尽管语义技术为ESG报告提供了宝贵的好处，但它们在该领域的应用仍然受到限制。大多数基于本体的解决方案仍处于开发阶段，由于组织缺乏对这些工具如何帮助解决报告问题的理解，因此它们没有被广泛使用。本研究进行了系统文献综述（SLR），调查了从Scopus和Web of Science获得的19项同行评议研究，这些研究遵循了系统综述和荟萃分析（PRISMA 2020）的首选报告项目标准。SLR指出了关键的差距：(1)现有的本体驱动解决方案可以解决当前ESG报告中的关键问题；(2)定量评估方法很少与语义工具相结合，限制了可操作的见解；(3)与可持续发展目标（sdg）等不断发展的标准保持一致仍然是肤浅的。基于单反的见解，本研究通过将本体驱动方法与定量评估技术相结合，通过单反的发现开发了一个新的框架。该框架通过ESG本体系统实现各种报告标准的标准化，该系统映射基本概念以构建广泛的分类法。可持续发展目标通过既定的可持续发展目标本体相互兼容，使企业能够根据国际可持续发展目标衡量其活动。模糊多准则决策（MCDM）技术与ESG成熟度模型相结合，可创建定量指标来评估ESG绩效。该方法产生可测量的性能指标，这些指标由清晰的语义链接支持，允许有效的基准评估，结合更好的数据统一和改进的决策能力。该研究创建了实现ESG信息互操作性的操作框架，从而推进可持续性治理创新并指导ESG本体转换。

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引用次数: 0

How does the digital divide between enterprises and customers affect enterprise performance? 企业和客户之间的数字鸿沟如何影响企业绩效？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-15 DOI: 10.1016/j.jik.2025.100914

Chaoyue Meng , Xiaoxia Yu , Junmei Luo , Zhonghui Jiang

With the acceleration of digital transformation, the issue of the digital divide between enterprises has become increasingly prominent. However, prior studies have primarily examined how digital transformation levels affect an enterprise’s operations and innovation; limited attention has been paid to the effects of differences in digital transformation between different enterprises. Drawing on knowledge-based theory, this study employs supply chain data from China between 2007 and 2022 to examine the impact of the digital divide between enterprises and customers (DDEC)¹ on enterprise performance. Empirical analysis indicates that the DDEC significantly adversely affects enterprise performance; this remains consistent even after conducting various robustness tests. The mechanism test reveals that the DDEC in the supply chain mainly affects enterprise performance by negatively affecting the width and depth of enterprises’ knowledge search. While the information integration capability (IIC)² of enterprises can weaken the above relationship, then alleviate the effect of the DDEC on the enterprise performance. First, this study innovatively extends the research perspective to the supply chain scenario by assessing the digital divide between enterprises and their customers, thereby enriching the existing literature. Second, it adopts the knowledge-based theory to explore the “black box” of the DDEC affecting enterprise performance. Finally, it proposes operable suggestions for alleviating the negative impact of the digital divide at the enterprise level, providing important practical insights to enterprises.

随着数字化转型的加速，企业之间的数字鸿沟问题日益突出。然而，之前的研究主要考察了数字化转型水平如何影响企业的运营和创新；对于不同企业之间数字化转型的差异所带来的影响，人们的关注并不多。基于知识基础理论，本研究采用2007年至2022年中国供应链数据，考察了企业与客户之间的数字鸿沟1对企业绩效的影响。实证分析表明，DDEC对企业绩效有显著的负向影响；即使在进行了各种稳健性测试之后，这一点仍然是一致的。机制检验表明，供应链中的DDEC主要通过负向影响企业知识搜索的广度和深度来影响企业绩效。而企业的信息集成能力（IIC）2可以减弱上述关系，从而缓解DDEC对企业绩效的影响。首先，本研究创新性地将研究视角扩展到供应链场景，通过评估企业与客户之间的数字鸿沟，丰富了现有文献。其次，运用知识基础理论探索DDEC影响企业绩效的“黑箱”。最后，从企业层面提出了缓解数字鸿沟负面影响的可操作性建议，为企业提供了重要的实践见解。

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引用次数: 0

How does government environmental attention drive regional green technology innovation? 政府环境关注如何推动区域绿色技术创新？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-12 DOI: 10.1016/j.jik.2025.100918

Li Yue , Liang Han

Using panel data encompassing 282 cities across China from 2010 to 2022, this study delves into the ramifications of government environmental concern on green technological innovation, with a focus on intellectual property (IP) protection. It elucidates the mechanisms through which government environmental attention promotes green technological innovation, examining the effects of Research and Development (R&D) investment, resource allocation and talent aggregation. The findings indicate that government environmental attention markedly enhances green technological innovation. However, the impact of this attention significantly varies across diverse urban typologies, being more pronounced in second-tier metropolises, non-resource–reliant cities and municipalities governed by three-tier fiscal systems. Furthermore, the moderation effect test indicates that IP protection considerably enhances the efficacy of government environmental attention on green technological innovation. Further scrutiny suggests that optimal outcomes in IP protection are achieved when the average tenure of local government officials ranges from 39.64 to 43.55 months, particularly when these officials have an environmental background. In addition, in-depth analysis reveals that the effects of R&D investment, resource allocation and talent agglomeration constitute the pivotal transmission mechanisms through which government environmental attention stimulates green technological innovation. The conclusions of this study not only enrich the theoretical foundation for green technological innovation by government environmental attention but also provide empirical validation for exploring pathways through which IP protection can empower it.

本研究利用2010年至2022年中国282个城市的面板数据，深入研究了政府环境关注对绿色技术创新的影响，重点关注知识产权（IP）保护。通过研究研发投资、资源配置和人才聚集的效应，阐明了政府环境关注促进绿色技术创新的机制。研究结果表明，政府环境关注显著促进了绿色技术创新。然而，这种关注的影响在不同的城市类型中存在显著差异，在二线大都市、非资源依赖型城市和由三线财政体系管理的城市中更为明显。此外，适度效应检验表明，知识产权保护显著提高了政府环境关注对绿色技术创新的有效性。进一步的审查表明，当地方政府官员的平均任期在39.64至43.55个月之间时，特别是当这些官员具有环境背景时，知识产权保护的效果最佳。此外，深入分析发现，研发投入效应、资源配置效应和人才集聚效应构成了政府环境关注激励绿色技术创新的关键传导机制。本文的研究结论不仅丰富了政府环境关注绿色技术创新的理论基础，也为探索知识产权保护的权能路径提供了实证验证。

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引用次数: 0

Driving green investment through innovation and regulation: The role of R&D and pollution control in China 通过创新和监管推动绿色投资：中国研发和污染控制的作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100909

Zhengfu Xie , Wanting Liu , Ran Tao , Nicoleta-Claudia Moldovan

Green investment has emerged as a crucial tool for sustainable development, but its determinants across heterogeneous regional contexts remain inadequately understood. This study examines determinants of green investment across Chinese provinces, focusing on R&D intensity, pollution control intensity and innovation capacity. We employed fixed-effects regression and bias-corrected least squares dummy variable (LSDV) dynamic panel estimators to demonstrate that R&D intensity has a significant positive effect on green investment. In contrast, pollution control intensity exhibits negative associations, indicating substitution between conventional pollution control and innovative green technologies. Green investment determinants vary considerably by region, with R&D intensity exhibiting the strongest impacts in Central China and pollution control intensity showing the most pronounced negative effects in the Eastern provinces. These findings contribute to the understanding of green investment determinants and provide valuable insights for policymakers seeking to balance environmental objectives with economic development through targeted regional approaches to R&D promotion and environmental regulation.

绿色投资已成为可持续发展的重要工具，但其在不同区域背景下的决定因素仍未得到充分了解。本研究考察了中国各省绿色投资的决定因素，重点关注研发强度、污染控制强度和创新能力。采用固定效应回归和偏差校正最小二乘虚拟变量（LSDV）动态面板估计证明研发强度对绿色投资具有显著的正向影响。相反，污染控制强度呈负相关，表明传统污染控制与创新绿色技术之间存在替代关系。区域间绿色投资决定因素差异较大，研发强度对中部省份的影响最大，污染控制强度对东部省份的负面影响最明显。这些发现有助于理解绿色投资决定因素，并为寻求通过有针对性的区域方法促进研发和环境监管来平衡环境目标与经济发展的政策制定者提供有价值的见解。

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引用次数: 0

Impact of conglomerates on corporate green innovation in China 企业集团对中国企业绿色创新的影响

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100915

Yao Wang , Xiaoqing Feng , Guangfan Sun , Daosheng Xu

Green innovation serves as a pivotal approach to address environmental challenges and drive sustainable economic development. Using a sample of companies listed on the Shanghai and Shenzhen A-share markets from 2003 to 2024, this study empirically examines how conglomerates affect corporate green innovation. The results show that conglomerates significantly enhance green innovation—particularly in enterprises located in regions with stricter environmental regulations and those with executives possessing stronger environmental awareness. Mechanism tests reveal that the alleviation of “financing constraints” through the internal capital market and the compensation for “knowledge gaps” through the internal knowledge network are key channels through which conglomerates drive green innovation within their member enterprises. These findings not only contribute to the literature on the role of conglomerates in environmental governance but also provide valuable insights for promoting the green transformation and sustainable development of enterprises.

绿色创新是应对环境挑战、推动经济可持续发展的重要途径。本文以2003 - 2024年沪深a股上市公司为样本，实证考察了企业集团对企业绿色创新的影响。结果表明，企业集团显著提高了绿色创新，特别是在环境法规更严格的地区和高管环境意识更强的地区。机制检验表明，通过内部资本市场缓解“融资约束”和通过内部知识网络弥补“知识缺口”是企业集团推动成员企业内部绿色创新的关键渠道。这些研究结果不仅对企业集团在环境治理中的作用的文献有所贡献，而且对促进企业绿色转型和可持续发展提供了有价值的见解。

引用次数: 0