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

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。

{"title":"AI adoption in HR: AI trust in digitally lagging organisations","authors":"Alessia Zoppelletto , Ludovico Bullini Orlandi , Eleonora Veglianti , Cecilia Rossignoli","doi":"10.1016/j.jik.2025.100912","DOIUrl":"10.1016/j.jik.2025.100912","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100912"},"PeriodicalIF":15.5,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145785783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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。

{"title":"From fragmentation to interoperability: How semantic models transform environmental, social, governance (ESG) reporting, knowledge, and sustainability governance","authors":"Annas Vijaya , Faris Dzaudan Qadri , Linda Salma Angreani , Hendro Wicaksono","doi":"10.1016/j.jik.2025.100924","DOIUrl":"10.1016/j.jik.2025.100924","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100924"},"PeriodicalIF":15.5,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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。

{"title":"How does the digital divide between enterprises and customers affect enterprise performance?","authors":"Chaoyue Meng , Xiaoxia Yu , Junmei Luo , Zhonghui Jiang","doi":"10.1016/j.jik.2025.100914","DOIUrl":"10.1016/j.jik.2025.100914","url":null,"abstract":"<div><div>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)<span><span><sup>1</sup></span></span> 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)<span><span><sup>2</sup></span></span> 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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100914"},"PeriodicalIF":15.5,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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。

{"title":"How does government environmental attention drive regional green technology innovation?","authors":"Li Yue , Liang Han","doi":"10.1016/j.jik.2025.100918","DOIUrl":"10.1016/j.jik.2025.100918","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100918"},"PeriodicalIF":15.5,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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。

{"title":"Driving green investment through innovation and regulation: The role of R&D and pollution control in China","authors":"Zhengfu Xie , Wanting Liu , Ran Tao , Nicoleta-Claudia Moldovan","doi":"10.1016/j.jik.2025.100909","DOIUrl":"10.1016/j.jik.2025.100909","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100909"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Outcomes of innovative technologies and smart transformation of the energy sector 能源领域创新技术和智能转型的成果

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100910

Olena Chygryn , Yevheniia Ziabina , Dalia Štreimikienė , Yuriy Bilan

Smart energy transformation processes include the use of innovative energy technologies and infrastructure and contribute to decreasing the environmental load by reducing greenhouse gas emissions, increasing the quality of service to consumers, ensuring a stable and uninterrupted supply of electricity, and providing the possibility of effective management of energy consumption. Multiple correlation regression analysis is used to test the relationship between the final consumption of electricity and the cost of electricity, import of electricity supply or production meters, including their calibration, electricity production from renewable sources except for hydroelectric power in Ukraine, and total electricity production per person. The study period is 2010–2022. There is a strong direct relationship between the total electricity production per person and the final consumption of electricity, which indicates that an increase in electricity consumption leads to an increase in its output of 17.98% under an optimistic scenario and 50.2% under a pessimistic scenario. Management decisions based on the understanding of the strong dependence between the production and consumption of electricity should be aimed at the balanced development of the energy system, increasing energy efficiency and sustainability, and minimising environmental impact. The smart transformation of the electric power industry should include introducing innovative technologies to improve the efficiency, reliability, and sustainability of energy systems.

智能能源转型过程包括使用创新的能源技术和基础设施，通过减少温室气体排放、提高对消费者的服务质量、确保稳定和不间断的电力供应，以及提供有效管理能源消耗的可能性，有助于减少环境负荷。使用多元相关回归分析来检验最终用电量与电力成本、电力供应或生产电表的进口（包括其校准）、乌克兰水力发电以外的可再生能源发电量以及人均总发电量之间的关系。研究期间为2010-2022年。人均总发电量与最终用电量之间存在很强的直接关系，这表明用电量的增加导致其产量在乐观情景下增长17.98%，在悲观情景下增长50.2%。基于对电力生产和消费之间的强烈依赖性的理解而作出的管理决定应着眼于能源系统的平衡发展，提高能源效率和可持续性，并尽量减少对环境的影响。电力行业的智能转型应包括引入创新技术，以提高能源系统的效率、可靠性和可持续性。

{"title":"Outcomes of innovative technologies and smart transformation of the energy sector","authors":"Olena Chygryn , Yevheniia Ziabina , Dalia Štreimikienė , Yuriy Bilan","doi":"10.1016/j.jik.2025.100910","DOIUrl":"10.1016/j.jik.2025.100910","url":null,"abstract":"<div><div>Smart energy transformation processes include the use of innovative energy technologies and infrastructure and contribute to decreasing the environmental load by reducing greenhouse gas emissions, increasing the quality of service to consumers, ensuring a stable and uninterrupted supply of electricity, and providing the possibility of effective management of energy consumption. Multiple correlation regression analysis is used to test the relationship between the final consumption of electricity and the cost of electricity, import of electricity supply or production meters, including their calibration, electricity production from renewable sources except for hydroelectric power in Ukraine, and total electricity production per person. The study period is 2010–2022. There is a strong direct relationship between the total electricity production per person and the final consumption of electricity, which indicates that an increase in electricity consumption leads to an increase in its output of 17.98% under an optimistic scenario and 50.2% under a pessimistic scenario. Management decisions based on the understanding of the strong dependence between the production and consumption of electricity should be aimed at the balanced development of the energy system, increasing energy efficiency and sustainability, and minimising environmental impact. The smart transformation of the electric power industry should include introducing innovative technologies to improve the efficiency, reliability, and sustainability of energy systems.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100910"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Knowledge and drivers of rural e-commerce entrepreneurial vibrancy: A fuzzy-set qualitative comparative analysis study 农村电子商务创业活力的知识与驱动因素：模糊集定性比较分析研究

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100911

Lijuan Huang , Yi Huang , Zhe Rong , Guojie Xie

Fostering rural e-commerce entrepreneurial vibrancy is crucial for achieving regional economic transformation and sustainable development. However, existing research has predominantly examined the net effects of individual factors, overlooking the diverse pathways and complex causal mechanisms that shape high levels of entrepreneurial activity. Integrating entrepreneurial ecosystem theory with a configurational perspective, this study proposes an analytical framework that incorporates resource, social, and institutional elements. Using fuzzy-set qualitative comparative analysis on 28 provincial-level administrative regions in China, the study identifies three equifinal pathways to high rural e-commerce entrepreneurial vibrancy: the endogenous factor-driven path, a formal institution-driven path, and a multi-source support-compensatory path. An in-depth analysis of the underlying mechanisms reveals that these pathways correspond to the logics of opportunity leveraging, opportunity building, and institution empowering, respectively. A cross-configurational comparison further identifies two higher-order driving logics: opportunity anchoring and institution anchoring. By moving beyond traditional linear assumptions, our findings highlight the configurational effects that drive rural entrepreneurship, including the substitutional and complementary relationships among constituent elements. These insights not only provide policymakers with a foundation for developing precise, context-specific strategies that transcend "one-size-fits-all" approaches but also offer a novel theoretical perspective on how less-developed regions can achieve endogenous development through diverse combinations of resource endowments.

培育农村电子商务创业活力，是实现区域经济转型和可持续发展的关键。然而，现有的研究主要考察了个体因素的净效应，忽视了形成高水平创业活动的多种途径和复杂的因果机制。本研究结合创业生态系统理论和配置视角，提出了一个整合资源、社会和制度要素的分析框架。通过对中国28个省级行政区的模糊集定性比较分析，确定了农村电商创业活力提升的三个等效路径：内生因素驱动路径、正规制度驱动路径和多源支持补偿路径。对潜在机制的深入分析表明，这些路径分别对应于机会杠杆、机会构建和制度授权的逻辑。跨配置比较进一步确定了两种高阶驱动逻辑：机会锚定和制度锚定。通过超越传统的线性假设，我们的研究结果强调了驱动农村创业的配置效应，包括构成要素之间的替代和互补关系。这些见解不仅为决策者提供了制定超越“一刀切”方法的精确、因地制宜的战略的基础，而且为欠发达地区如何通过资源禀赋的多样化组合实现内生发展提供了新的理论视角。

{"title":"Knowledge and drivers of rural e-commerce entrepreneurial vibrancy: A fuzzy-set qualitative comparative analysis study","authors":"Lijuan Huang , Yi Huang , Zhe Rong , Guojie Xie","doi":"10.1016/j.jik.2025.100911","DOIUrl":"10.1016/j.jik.2025.100911","url":null,"abstract":"<div><div>Fostering rural e-commerce entrepreneurial vibrancy is crucial for achieving regional economic transformation and sustainable development. However, existing research has predominantly examined the net effects of individual factors, overlooking the diverse pathways and complex causal mechanisms that shape high levels of entrepreneurial activity. Integrating entrepreneurial ecosystem theory with a configurational perspective, this study proposes an analytical framework that incorporates resource, social, and institutional elements. Using fuzzy-set qualitative comparative analysis on 28 provincial-level administrative regions in China, the study identifies three equifinal pathways to high rural e-commerce entrepreneurial vibrancy: the endogenous factor-driven path, a formal institution-driven path, and a multi-source support-compensatory path. An in-depth analysis of the underlying mechanisms reveals that these pathways correspond to the logics of opportunity leveraging, opportunity building, and institution empowering, respectively. A cross-configurational comparison further identifies two higher-order driving logics: opportunity anchoring and institution anchoring. By moving beyond traditional linear assumptions, our findings highlight the configurational effects that drive rural entrepreneurship, including the substitutional and complementary relationships among constituent elements. These insights not only provide policymakers with a foundation for developing precise, context-specific strategies that transcend \"one-size-fits-all\" approaches but also offer a novel theoretical perspective on how less-developed regions can achieve endogenous development through diverse combinations of resource endowments.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100911"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How does entrepreneurial orientation influence firm performance? A moderated mediation model of tacit knowledge and green innovation 创业取向如何影响企业绩效？有调节的隐性知识与绿色创新中介模型

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100913

Ana Labella-Fernández , Carlos Martínez-Egea , Belén Payán-Sánchez

This study investigates how entrepreneurial orientation (EO) influences firm performance, focusing on both environmental and financial performance. Drawing on the resource-based view (RBV) and knowledge-based view (KBV), the study develops an integrative framework in which green product and process innovations mediate the EO–performance relationship, while tacit knowledge functions as a boundary condition that strengthens the effects of EO on green product and process innovations. Using survey and objective data from 244 firms in the Spanish textile industry, this study employs partial least squares structural equation modeling and a moderated mediation approach to test the proposed relationships. The findings suggest that green product innovation contributes similarly to environmental and financial performance, whereas green process innovation has a stronger effect on environmental performance. Moreover, tacit knowledge amplifies the impact of EO on green innovation—particularly green product innovation—by facilitating the effective use of internal knowledge resources to achieve sustainability-driven competitiveness. Overall, the study advances the understanding of how EO fosters innovation and performance within the combined frameworks of RBV and KBV, offering theoretical and practical insights for firms aiming to enhance environmental and financial performance by combining EO with knowledge-driven innovation.

本研究探讨创业导向（EO）如何影响企业绩效，重点关注环境绩效和财务绩效。基于资源基础观和知识基础观，本文构建了绿色产品和工艺创新在绩效关系中起中介作用，隐性知识作为边界条件，强化了绿色产品和工艺创新对绩效影响的整合框架。本研究利用西班牙纺织业244家公司的调查和客观数据，采用偏最小二乘结构方程模型和有调节的中介方法来检验所提出的关系。研究结果表明，绿色产品创新对环境绩效和财务绩效的贡献相似，而绿色工艺创新对环境绩效的影响更大。此外，隐性知识通过促进内部知识资源的有效利用来实现可持续驱动的竞争力，从而放大了EO对绿色创新（尤其是绿色产品创新）的影响。总体而言，该研究推进了对环境绩效与知识驱动型创新相结合框架下环境绩效如何促进创新和绩效的理解，为旨在通过将环境绩效与知识驱动型创新相结合来提高环境绩效和财务绩效的企业提供了理论和实践见解。

{"title":"How does entrepreneurial orientation influence firm performance? A moderated mediation model of tacit knowledge and green innovation","authors":"Ana Labella-Fernández , Carlos Martínez-Egea , Belén Payán-Sánchez","doi":"10.1016/j.jik.2025.100913","DOIUrl":"10.1016/j.jik.2025.100913","url":null,"abstract":"<div><div>This study investigates how entrepreneurial orientation (EO) influences firm performance, focusing on both environmental and financial performance. Drawing on the resource-based view (RBV) and knowledge-based view (KBV), the study develops an integrative framework in which green product and process innovations mediate the EO–performance relationship, while tacit knowledge functions as a boundary condition that strengthens the effects of EO on green product and process innovations. Using survey and objective data from 244 firms in the Spanish textile industry, this study employs partial least squares structural equation modeling and a moderated mediation approach to test the proposed relationships. The findings suggest that green product innovation contributes similarly to environmental and financial performance, whereas green process innovation has a stronger effect on environmental performance. Moreover, tacit knowledge amplifies the impact of EO on green innovation—particularly green product innovation—by facilitating the effective use of internal knowledge resources to achieve sustainability-driven competitiveness. Overall, the study advances the understanding of how EO fosters innovation and performance within the combined frameworks of RBV and KBV, offering theoretical and practical insights for firms aiming to enhance environmental and financial performance by combining EO with knowledge-driven innovation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100913"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Team process innovation in the new work landscape: The role of feedback climate and empowerment in dispersed settings 新工作环境中的团队流程创新：在分散环境中反馈气候和授权的作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100903

Massimo Magni , Leonardo Caporarello , Emilia Paolino

The widespread diffusion of information and communication technologies, along with post-pandemic work arrangements, has led organizations to increasingly utilize dispersed teams to integrate knowledge across various locations. Despite the potential benefits, dispersed teams often fail to continuously innovate their processes because of hampered feedback exchange among team members. Our study explores how team dispersion affects the development of team feedback climate, and, in turn, team process innovation. We rely on a structural equation modeling approach applying the Partial Least Squares (PLS) technique to analyze survey data from 594 team members and leaders, as well as objective data across 123 teams. The study highlights that the lack of co-location hinders an effective feedback climate, which is essential for fostering teams’ ability to continuously innovate their work processes. Additionally, it examines how team empowerment can mitigate the negative effects of dispersion by giving team members greater control. Our findings underscore the importance of feedback climate and suggest that empowerment can alleviate the negative effects of dispersion, offering valuable insights for managers and organizations to reap the advantages of new distributed work models and alleviate the burden of liabilities.

信息和通信技术的广泛传播，加上大流行后的工作安排，导致各组织越来越多地利用分散的团队来整合不同地点的知识。尽管有潜在的好处，但由于团队成员之间的反馈交流受阻，分散的团队经常无法持续创新他们的过程。我们的研究探讨了团队分散如何影响团队反馈气候的发展，进而影响团队过程创新。我们依靠结构方程建模方法，应用偏最小二乘（PLS）技术来分析来自594名团队成员和领导者的调查数据，以及123个团队的客观数据。该研究强调，缺少同地办公阻碍了有效的反馈氛围，而这对于培养团队不断创新其工作流程的能力至关重要。此外，它还研究了团队授权如何通过给予团队成员更大的控制权来减轻分散的负面影响。我们的研究结果强调了反馈环境的重要性，并建议授权可以减轻分散的负面影响，为管理者和组织提供有价值的见解，以获得新的分布式工作模型的优势，并减轻责任负担。

{"title":"Team process innovation in the new work landscape: The role of feedback climate and empowerment in dispersed settings","authors":"Massimo Magni , Leonardo Caporarello , Emilia Paolino","doi":"10.1016/j.jik.2025.100903","DOIUrl":"10.1016/j.jik.2025.100903","url":null,"abstract":"<div><div>The widespread diffusion of information and communication technologies, along with post-pandemic work arrangements, has led organizations to increasingly utilize dispersed teams to integrate knowledge across various locations. Despite the potential benefits, dispersed teams often fail to continuously innovate their processes because of hampered feedback exchange among team members. Our study explores how team dispersion affects the development of team feedback climate, and, in turn, team process innovation. We rely on a structural equation modeling approach applying the Partial Least Squares (PLS) technique to analyze survey data from 594 team members and leaders, as well as objective data across 123 teams. The study highlights that the lack of co-location hinders an effective feedback climate, which is essential for fostering teams’ ability to continuously innovate their work processes. Additionally, it examines how team empowerment can mitigate the negative effects of dispersion by giving team members greater control. Our findings underscore the importance of feedback climate and suggest that empowerment can alleviate the negative effects of dispersion, offering valuable insights for managers and organizations to reap the advantages of new distributed work models and alleviate the burden of liabilities.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100903"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145712327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0