Journal of Innovation & Knowledge最新文献_第4页

Green innovation under multiple pressures: examining financial constraints, ESG performance, and environmental regulations 多重压力下的绿色创新：考察财务约束、ESG绩效和环境法规

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-22 DOI: 10.1016/j.jik.2025.100876

Lihui Yu , Pengwei Jin

This study investigates the role of environmental, social, and governance (ESG) performance in reshaping the relationship between financial constraints and green innovation among Chinese listed firms from 2010 to 2023. We examine the double-edged sword hypothesis that financial constraints affect innovation differently depending on firms' ESG performance. Our baseline results confirm that financial constraints significantly reduce green innovation. However, we find a significant positive interaction of ESG and financial constraints on green innovation, indicating that ESG performance weakens or offsets the negative impact of financial constraints on green innovation. Furthermore, environmental regulations amplify this moderation effect through a positive triple interaction, suggesting that regulatory pressure strengthens ESG's role in transforming constraints into innovation drivers. Moreover, the positive interaction between ESG and financial constraints is stronger in state-owned enterprises and high-polluting industries. These findings suggest that ESG performance can transform financial constraints from barriers into innovation drivers. We recommend that policymakers prioritize strengthening firms' sustainability capabilities through targeted financial and regulatory instruments, rather than implementing uniform policies or regulatory frameworks without considering the firms' ESG capabilities.

本文研究了2010 - 2023年中国上市公司环境、社会和治理（ESG）绩效在重塑融资约束与绿色创新关系中的作用。我们检验了双刃剑假设，即财务约束对创新的影响取决于企业的ESG绩效。我们的基线结果证实，财政约束显著降低了绿色创新。然而，我们发现ESG和财务约束对绿色创新有显著的正向交互作用，表明ESG绩效减弱或抵消了财务约束对绿色创新的负面影响。此外，环境法规通过积极的三重互动放大了这种调节效应，表明监管压力加强了ESG在将约束转化为创新驱动方面的作用。此外，在国有企业和高污染行业中，ESG与金融约束之间的正交互作用更强。这些发现表明，ESG绩效可以将财务约束从障碍转变为创新驱动因素。我们建议政策制定者优先考虑通过有针对性的金融和监管工具来加强企业的可持续性能力，而不是在不考虑企业ESG能力的情况下实施统一的政策或监管框架。

{"title":"Green innovation under multiple pressures: examining financial constraints, ESG performance, and environmental regulations","authors":"Lihui Yu , Pengwei Jin","doi":"10.1016/j.jik.2025.100876","DOIUrl":"10.1016/j.jik.2025.100876","url":null,"abstract":"<div><div>This study investigates the role of environmental, social, and governance (ESG) performance in reshaping the relationship between financial constraints and green innovation among Chinese listed firms from 2010 to 2023. We examine the double-edged sword hypothesis that financial constraints affect innovation differently depending on firms' ESG performance. Our baseline results confirm that financial constraints significantly reduce green innovation. However, we find a significant positive interaction of ESG and financial constraints on green innovation, indicating that ESG performance weakens or offsets the negative impact of financial constraints on green innovation. Furthermore, environmental regulations amplify this moderation effect through a positive triple interaction, suggesting that regulatory pressure strengthens ESG's role in transforming constraints into innovation drivers. Moreover, the positive interaction between ESG and financial constraints is stronger in state-owned enterprises and high-polluting industries. These findings suggest that ESG performance can transform financial constraints from barriers into innovation drivers. We recommend that policymakers prioritize strengthening firms' sustainability capabilities through targeted financial and regulatory instruments, rather than implementing uniform policies or regulatory frameworks without considering the firms' ESG capabilities.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100876"},"PeriodicalIF":15.5,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575562","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

Determinants of generative artificial intelligence use in startups 创业公司使用生成式人工智能的决定因素

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-22 DOI: 10.1016/j.jik.2025.100885

Colin Donaldson , Gabriel Linton , William C. McDowell , Joshua Bendickson

This study investigates the adoption of generative artificial intelligence in accelerator-based startups to determine which types of startups most use the technology. Internal and external factors likely to influence high usage are examined, including creativity, proactivity, industry dynamism, and absorptive capacity. Quantitative survey data were collected from 31 Valencia-based startups participating in a leading Spanish accelerator. Fuzzy-set qualitative comparative analysis was used to determine the influence of key attributes on generative artificial intelligence usage levels. The findings reveal four pathways influencing high usage. This work contributes to the emerging literature on startups’ usage of generative artificial intelligence, offering insights into the roles of internal abilities and external conditions.

本研究调查了基于加速器的初创公司对生成式人工智能的采用情况，以确定哪种类型的初创公司最常使用该技术。研究了可能影响高使用率的内部和外部因素，包括创造力、主动性、行业活力和吸收能力。定量调查数据来自参与西班牙领先加速器的31家瓦伦西亚初创公司。采用模糊集定性比较分析确定关键属性对生成式人工智能使用水平的影响。研究结果揭示了影响高使用率的四种途径。这项工作为创业公司使用生成式人工智能的新兴文献做出了贡献，为内部能力和外部条件的作用提供了见解。

引用次数: 0

ChatGPT in science and research: How generative AI drives innovation and knowledge development 科学研究中的ChatGPT：生成式人工智能如何推动创新和知识发展

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-22 DOI: 10.1016/j.jik.2025.100889

Peter Madzík , Lukáš Falát , Renata Skýpalová , Lenka Jašušáková , Dominik Zimon

The rapid rise of generative artificial intelligence (AI), particularly Chat Generative Pre-trained Transformer (ChatGPT), is transforming how knowledge is produced and innovation unfolds across disciplines. To capture this shift, we analyze 13,942 peer-reviewed publications with Latent Dirichlet Allocation, identifying 120 distinct research topics and grouping them into nine thematic clusters. Drawing on these clusters, we propose a four-lane conceptual model of “ChatGPT-driven value creation,” which portrays the AI pipeline as a sequential, feedback-linked process of knowledge conversion: (i) emerging technologies, (ii) data engineering and algorithmic development, (iii) perception-and-compliance filtering, and (iv) domain adoption. The model reveals where generative AI currently fuels innovation, most prominently in education, healthcare, and business, and where unresolved issues persist, including ethics, security, and misinformation. It also uncovers regional differences in research priorities, signaling diverse innovation dynamics across continents. Overall, by coupling large-scale topic mapping with a theoretically grounded architecture, this study offers scholars, policymakers, and practitioners a coherent framework for harnessing ChatGPT’s potential while addressing governance demands and quality constraints. Effectively, the conceptual model provides both a diagnostic lens for research and a roadmap for responsible, knowledge-intensive deployment of generative AI.

生成式人工智能（AI）的迅速崛起，尤其是聊天生成预训练转换器（ChatGPT），正在改变知识的产生方式和跨学科创新的展开。为了捕捉这一转变，我们分析了13,942篇同行评议的出版物，使用潜在狄利克雷分配方法，确定了120个不同的研究主题，并将它们分为9个主题集群。基于这些集群，我们提出了一个“chatgpt驱动的价值创造”的四车道概念模型，该模型将人工智能管道描绘为一个连续的、反馈链接的知识转换过程：(i)新兴技术，（ii）数据工程和算法开发，（iii）感知和遵从性过滤，以及（iv）领域采用。该模型揭示了生成式人工智能目前在哪些领域推动了创新，尤其是在教育、医疗保健和商业领域，以及哪些领域仍存在未解决的问题，包括道德、安全和错误信息。它还揭示了研究重点的地区差异，表明了各大洲不同的创新动态。总的来说，通过将大规模主题映射与理论基础架构相结合，本研究为学者、政策制定者和实践者提供了一个连贯的框架，用于在解决治理需求和质量约束的同时利用ChatGPT的潜力。实际上，概念模型既为研究提供了诊断视角，也为负责任的、知识密集型的生成式人工智能部署提供了路线图。

{"title":"ChatGPT in science and research: How generative AI drives innovation and knowledge development","authors":"Peter Madzík , Lukáš Falát , Renata Skýpalová , Lenka Jašušáková , Dominik Zimon","doi":"10.1016/j.jik.2025.100889","DOIUrl":"10.1016/j.jik.2025.100889","url":null,"abstract":"<div><div>The rapid rise of generative artificial intelligence (AI), particularly Chat Generative Pre-trained Transformer (ChatGPT), is transforming how knowledge is produced and innovation unfolds across disciplines. To capture this shift, we analyze 13,942 peer-reviewed publications with Latent Dirichlet Allocation, identifying 120 distinct research topics and grouping them into nine thematic clusters. Drawing on these clusters, we propose a four-lane conceptual model of “ChatGPT-driven value creation,” which portrays the AI pipeline as a sequential, feedback-linked process of knowledge conversion: (i) emerging technologies, (ii) data engineering and algorithmic development, (iii) perception-and-compliance filtering, and (iv) domain adoption. The model reveals where generative AI currently fuels innovation, most prominently in education, healthcare, and business, and where unresolved issues persist, including ethics, security, and misinformation. It also uncovers regional differences in research priorities, signaling diverse innovation dynamics across continents. Overall, by coupling large-scale topic mapping with a theoretically grounded architecture, this study offers scholars, policymakers, and practitioners a coherent framework for harnessing ChatGPT’s potential while addressing governance demands and quality constraints. Effectively, the conceptual model provides both a diagnostic lens for research and a roadmap for responsible, knowledge-intensive deployment of generative AI.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100889"},"PeriodicalIF":15.5,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575560","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

Innovation ecosystem and regional sustainability: An analysis of China provinces 创新生态系统与区域可持续性：基于中国省际的分析

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-19 DOI: 10.1016/j.jik.2025.100894

Yangjie Huang , Yue Yuan , Jiali Zhang , Ping Li

Sustainability, which addresses inequality and resource scarcity, has become a central concern for scholars, entrepreneurs and policymakers. However, the interrelationships between different components of regional sustainability in the innovation ecosystem remain underexplored. Grounded in innovation ecosystem theory, this study examines antecedent conditions across two dimensions, soft power and hard power, to explore pathways for promoting high-level regional sustainability. Utilizing publicly available official data from China, we constructed a comprehensive dataset covering 30 provinces and systematically analyzed the contributions of various potential combinations of antecedent conditions to high regional sustainability using fuzzy-set qualitative comparative analysis. This study identifies four pathways to achieve high regional sustainability, with the digital economy playing a core role in all pathways. In contrast, the roles of knowledge innovation, human capital, and technological cooperation were relatively less significant. Furthermore, this study employed Necessary Condition Analysis to evaluate the necessary relationships between each antecedent condition and the outcome. The findings not only enrich the theoretical framework for regional sustainable capacity but also provide actionable insights for policymakers to facilitate the realization of regional sustainable development.

解决不平等和资源稀缺问题的可持续性已成为学者、企业家和政策制定者关注的中心问题。然而，创新生态系统中区域可持续性不同组成部分之间的相互关系仍未得到充分探讨。本研究以创新生态系统理论为基础，从软实力和硬实力两个维度考察先行条件，探索提升区域高水平可持续性的路径。本文利用中国公开的官方数据，构建了覆盖30个省份的综合数据集，运用模糊集定性比较分析方法系统分析了不同前因条件组合对区域高可持续性的贡献。本研究确定了实现高区域可持续性的四条途径，其中数字经济在所有途径中发挥核心作用。知识创新、人力资本和技术合作的作用相对较弱。此外，本研究采用必要条件分析来评估每个前事条件与结果之间的必要关系。研究结果不仅丰富了区域可持续能力的理论框架，而且为政策制定者促进区域可持续发展的实现提供了可操作的见解。

{"title":"Innovation ecosystem and regional sustainability: An analysis of China provinces","authors":"Yangjie Huang , Yue Yuan , Jiali Zhang , Ping Li","doi":"10.1016/j.jik.2025.100894","DOIUrl":"10.1016/j.jik.2025.100894","url":null,"abstract":"<div><div>Sustainability, which addresses inequality and resource scarcity, has become a central concern for scholars, entrepreneurs and policymakers. However, the interrelationships between different components of regional sustainability in the innovation ecosystem remain underexplored. Grounded in innovation ecosystem theory, this study examines antecedent conditions across two dimensions, soft power and hard power, to explore pathways for promoting high-level regional sustainability. Utilizing publicly available official data from China, we constructed a comprehensive dataset covering 30 provinces and systematically analyzed the contributions of various potential combinations of antecedent conditions to high regional sustainability using fuzzy-set qualitative comparative analysis. This study identifies four pathways to achieve high regional sustainability, with the digital economy playing a core role in all pathways. In contrast, the roles of knowledge innovation, human capital, and technological cooperation were relatively less significant. Furthermore, this study employed Necessary Condition Analysis to evaluate the necessary relationships between each antecedent condition and the outcome. The findings not only enrich the theoretical framework for regional sustainable capacity but also provide actionable insights for policymakers to facilitate the realization of regional sustainable development.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100894"},"PeriodicalIF":15.5,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579981","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

Green HRM and green innovation: Do environmental strategies and green culture matter? 绿色人力资源管理与绿色创新：环境战略与绿色文化重要吗？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-19 DOI: 10.1016/j.jik.2025.100897

Mehadi Mamun

Literature supports the notion that green human resource management (HRM), an emerging and effective HRM strategy, leads to superior environmental performance. Yet, insufficient attention has been paid to whether green HRM can improve organisations’ green innovation, and on the impact that environmental strategies and organisational green culture have on this process. To fill these research gaps, this study aims to examine the relationship between organisations’ green HRM and green innovation, utilising the natural resource-based view and ability-motivation-opportunity theories. It also investigates the mediating role of green culture to explore how green HRM relates to green innovation in organisations. Additionally, it examines the moderating role of environmental strategies to determine the boundary condition of the relationship between green HRM and green innovation. In line with its objectives, this study conducted a multisource survey among 250 Australian employees to test its proposed hypotheses. It employed the partial least squares structural equation modelling approach to analyse data and evaluate the hypotheses. Its findings show that organisations’ green HRM has a positive influence on green innovation, and environmental strategy acts as a moderator strengthening this relationship. The moderated mediation model also explains that organisations’ green HRM indirectly affects green innovation through the intervening mechanism of green culture. This study has important implications for organisations as its findings underscore the need to align green HRM with a supportive green culture to effectively promote their green innovation. It also highlights that environmental strategies are a key driver of green HRM and green innovation, offering essential insights and guidance for organisations looking to remain competitive in the contemporary business world.

文献支持的概念，绿色人力资源管理（HRM），一个新兴的和有效的人力资源管理战略，导致优越的环境绩效。然而，绿色人力资源管理是否能够提高组织的绿色创新，以及环境战略和组织绿色文化对这一过程的影响，却没有得到足够的重视。为了填补这些研究空白，本研究旨在利用自然资源基础观点和能力-动机-机会理论来研究组织的绿色人力资源管理与绿色创新之间的关系。它还调查了绿色文化的中介作用，以探索绿色人力资源管理如何与组织中的绿色创新相关。此外，它检查了环境战略的调节作用，以确定绿色人力资源管理和绿色创新之间关系的边界条件。根据其目标，本研究在250名澳大利亚员工中进行了多源调查，以检验其提出的假设。它采用偏最小二乘结构方程建模方法来分析数据和评估假设。研究结果表明，组织的绿色人力资源管理对绿色创新有积极的影响，而环境战略起到调节作用，加强了这种关系。有调节的中介模型还解释了组织的绿色人力资源管理通过绿色文化的干预机制间接影响绿色创新。这项研究对组织具有重要意义，因为它的发现强调了将绿色人力资源管理与支持性绿色文化相结合的必要性，以有效地促进他们的绿色创新。它还强调了环境战略是绿色人力资源管理和绿色创新的关键驱动力，为希望在当代商业世界中保持竞争力的组织提供了重要的见解和指导。

{"title":"Green HRM and green innovation: Do environmental strategies and green culture matter?","authors":"Mehadi Mamun","doi":"10.1016/j.jik.2025.100897","DOIUrl":"10.1016/j.jik.2025.100897","url":null,"abstract":"<div><div>Literature supports the notion that green human resource management (HRM), an emerging and effective HRM strategy, leads to superior environmental performance. Yet, insufficient attention has been paid to whether green HRM can improve organisations’ green innovation, and on the impact that environmental strategies and organisational green culture have on this process. To fill these research gaps, this study aims to examine the relationship between organisations’ green HRM and green innovation, utilising the natural resource-based view and ability-motivation-opportunity theories. It also investigates the mediating role of green culture to explore how green HRM relates to green innovation in organisations. Additionally, it examines the moderating role of environmental strategies to determine the boundary condition of the relationship between green HRM and green innovation. In line with its objectives, this study conducted a multisource survey among 250 Australian employees to test its proposed hypotheses. It employed the partial least squares structural equation modelling approach to analyse data and evaluate the hypotheses. Its findings show that organisations’ green HRM has a positive influence on green innovation, and environmental strategy acts as a moderator strengthening this relationship. The moderated mediation model also explains that organisations’ green HRM indirectly affects green innovation through the intervening mechanism of green culture. This study has important implications for organisations as its findings underscore the need to align green HRM with a supportive green culture to effectively promote their green innovation. It also highlights that environmental strategies are a key driver of green HRM and green innovation, offering essential insights and guidance for organisations looking to remain competitive in the contemporary business world.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100897"},"PeriodicalIF":15.5,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575664","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

The impact of fintech on innovation quality: Evidence from Chinese enterprises 金融科技对创新质量的影响：来自中国企业的证据

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-18 DOI: 10.1016/j.jik.2025.100895

Xiao Zhang , Zheng Huang , Xiaoyu Liu , Yanbo Rong

We constructed an urban fintech index and analyzed data from 2834 publicly traded Chinese enterprises for the period 2010–2022 to investigate the impact of fintech on the innovation quality of enterprises. The findings indicate that this impact is positively reinforced by the innovation consciousness, risk propensity, and research and development background of senior executives. The heterogeneity analysis reveals that fintech has a more significant impact on the innovation quality of high-tech enterprises, State-owned enterprises, enterprises with effective internal control systems, and those located in cities designated as experimental zones for policy innovation (policy pilot cities).

本文构建了城市金融科技指数，并分析了2010-2022年2834家中国上市企业的数据，探讨了金融科技对企业创新质量的影响。研究发现，高管人员的创新意识、风险倾向和研发背景正强化了这种影响。异质性分析表明，金融科技对高新技术企业、国有企业、内部控制制度有效的企业和政策创新试验区（政策试点城市）企业的创新质量影响更为显著。

引用次数: 0

Apps and knowledge contributing to creating value for ehealth solutions 应用程序和知识有助于为电子健康解决方案创造价值

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-18 DOI: 10.1016/j.jik.2025.100886

Mercedes Grijalvo , Joaquín Ordieres-Meré , Manuel Uche-Soria , Bernardo Tabuenca , Yolanda Aladro-Benito

Mobile applications for multiple sclerosis (MS) hold growing potential for self-management and remote monitoring. However, research on how they generate value for patients and other stakeholders remains limited. Existing studies emphasize usability or adoption, while overlooking their role within broader healthcare ecosystems. This study investigates how MS-related apps generate value across stakeholders and explores adoption patterns among Spanish patients through an ecosystem-based perspective. A systematic review of MS-related apps available in Spain, a national survey of patients, and semi-structured interviews with clinicians and developers were conducted. This triangulated design enables a multi-actor analysis of app functionalities, adoption levels, and perceived value within the digital health ecosystem. Findings reveal that most apps offer basic functionalities, such as symptom tracking and medication reminders, but are underutilized by patients. Adoption is concentrated on a few platforms, while several apps show limited engagement. Barriers include usability challenges, a lack of integration with healthcare providers, and language limitations. Notably, patients expressed strong interest in features such as cognitive training and IoT-based monitoring, yet actual usage remains low. Interviews with stakeholders highlight structural misalignments and governance issues that hinder clinical adoption and coordinated value creation. This study underscores the need for coordinated, stakeholder-informed development strategies that bridge the gap between patient needs, app functionalities, and clinical workflows. While limited to Spanish-speaking users and self-reported data, the findings of this study offer strategic insights for ecosystem-wide adoption and engagement.

针对多发性硬化症（MS）的移动应用程序在自我管理和远程监控方面具有越来越大的潜力。然而，关于它们如何为患者和其他利益相关者创造价值的研究仍然有限。现有的研究强调可用性或采用，而忽略了它们在更广泛的医疗保健生态系统中的作用。本研究调查了ms相关应用程序如何在利益相关者之间创造价值，并通过基于生态系统的视角探索了西班牙患者的采用模式。对西班牙可用的ms相关应用程序进行了系统回顾，对患者进行了全国性调查，并对临床医生和开发人员进行了半结构化访谈。这种三角化设计可以对数字健康生态系统中的应用功能、采用水平和感知价值进行多参与者分析。调查结果显示，大多数应用程序提供基本功能，如症状跟踪和药物提醒，但未被患者充分利用。用户主要集中在少数几个平台上，而一些应用的用户参与度有限。障碍包括可用性挑战、缺乏与医疗保健提供商的集成以及语言限制。值得注意的是，患者对认知训练和基于物联网的监测等功能表现出强烈的兴趣，但实际使用率仍然很低。与利益相关者的访谈强调了阻碍临床采用和协调价值创造的结构失调和治理问题。这项研究强调了协调、利益相关者知情的发展战略的必要性，以弥合患者需求、应用程序功能和临床工作流程之间的差距。虽然仅限于讲西班牙语的用户和自我报告的数据，但这项研究的结果为整个生态系统的采用和参与提供了战略见解。

{"title":"Apps and knowledge contributing to creating value for ehealth solutions","authors":"Mercedes Grijalvo , Joaquín Ordieres-Meré , Manuel Uche-Soria , Bernardo Tabuenca , Yolanda Aladro-Benito","doi":"10.1016/j.jik.2025.100886","DOIUrl":"10.1016/j.jik.2025.100886","url":null,"abstract":"<div><div>Mobile applications for multiple sclerosis (MS) hold growing potential for self-management and remote monitoring. However, research on how they generate value for patients and other stakeholders remains limited. Existing studies emphasize usability or adoption, while overlooking their role within broader healthcare ecosystems. This study investigates how MS-related apps generate value across stakeholders and explores adoption patterns among Spanish patients through an ecosystem-based perspective. A systematic review of MS-related apps available in Spain, a national survey of patients, and semi-structured interviews with clinicians and developers were conducted. This triangulated design enables a multi-actor analysis of app functionalities, adoption levels, and perceived value within the digital health ecosystem. Findings reveal that most apps offer basic functionalities, such as symptom tracking and medication reminders, but are underutilized by patients. Adoption is concentrated on a few platforms, while several apps show limited engagement. Barriers include usability challenges, a lack of integration with healthcare providers, and language limitations. Notably, patients expressed strong interest in features such as cognitive training and IoT-based monitoring, yet actual usage remains low. Interviews with stakeholders highlight structural misalignments and governance issues that hinder clinical adoption and coordinated value creation. This study underscores the need for coordinated, stakeholder-informed development strategies that bridge the gap between patient needs, app functionalities, and clinical workflows. While limited to Spanish-speaking users and self-reported data, the findings of this study offer strategic insights for ecosystem-wide adoption and engagement.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100886"},"PeriodicalIF":15.5,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575665","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

The mechanism of transforming entrepreneurial failure experiences into entrepreneurial knowledge: From the perspective of dual social networks 创业失败经验转化为创业知识的机制：基于双重社会网络的视角

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-17 DOI: 10.1016/j.jik.2025.100891

Xiaoyan Li , Changhao Su

Based on the SECI knowledge transformation model and the double-loop learning model, we analyze the path and mechanism of transforming entrepreneurial failure experiences into entrepreneurial knowledge at the individual, organizational, and systemic levels. Furthermore, the transformation mechanisms for different entrepreneurial types, fields, and failure costs are compared. (1) There are two transformation paths—Path 1: entrepreneurial failure experiences → resource integration → entrepreneurial learning → entrepreneurial dynamic capabilities, and Path 2: entrepreneurial failure experiences → entrepreneurial social networks → resource integration → entrepreneurial learning → entrepreneurial dynamic capabilities. (2) The transformation modes at the individual, organizational, and systemic levels are experiential, exploratory, and cognitive learning, respectively. (3) At both the individual and organizational levels, individual entrepreneurial networks exert a stronger effect than team entrepreneurial networks. At the systemic level, team entrepreneurial networks exert a greater influence. (4) During the transformation process, the degree of influence of entrepreneurial social networks, learning modes, and knowledge transformation outcomes varies across different entrepreneurial types, fields, and failure costs.

基于SECI知识转化模型和双环学习模型，从个体、组织和系统三个层面分析了创业失败经验转化为创业知识的路径和机制。在此基础上，比较了不同创业类型、不同创业领域和不同创业失败成本的转型机制。(1)存在两条转化路径，路径1：创业失败经历→资源整合→创业学习→创业动态能力；路径2：创业失败经历→创业社会网络→资源整合→创业学习→创业动态能力。(2)个体、组织和系统层面的转化模式分别为体验学习、探索学习和认知学习。(3)在个体和组织层面，个体创业网络的效应都强于团队创业网络。在系统层面，团队创业网络的影响更大。(4)在知识转化过程中，创业社会网络、学习模式和知识转化结果的影响程度在不同的创业类型、创业领域和创业失败成本中存在差异。

{"title":"The mechanism of transforming entrepreneurial failure experiences into entrepreneurial knowledge: From the perspective of dual social networks","authors":"Xiaoyan Li , Changhao Su","doi":"10.1016/j.jik.2025.100891","DOIUrl":"10.1016/j.jik.2025.100891","url":null,"abstract":"<div><div>Based on the SECI knowledge transformation model and the double-loop learning model, we analyze the path and mechanism of transforming entrepreneurial failure experiences into entrepreneurial knowledge at the individual, organizational, and systemic levels. Furthermore, the transformation mechanisms for different entrepreneurial types, fields, and failure costs are compared. (1) There are two transformation paths—Path 1: entrepreneurial failure experiences → resource integration → entrepreneurial learning → entrepreneurial dynamic capabilities, and Path 2: entrepreneurial failure experiences → entrepreneurial social networks → resource integration → entrepreneurial learning → entrepreneurial dynamic capabilities. (2) The transformation modes at the individual, organizational, and systemic levels are experiential, exploratory, and cognitive learning, respectively. (3) At both the individual and organizational levels, individual entrepreneurial networks exert a stronger effect than team entrepreneurial networks. At the systemic level, team entrepreneurial networks exert a greater influence. (4) During the transformation process, the degree of influence of entrepreneurial social networks, learning modes, and knowledge transformation outcomes varies across different entrepreneurial types, fields, and failure costs.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100891"},"PeriodicalIF":15.5,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145546286","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

AI as a cognitive collaborator: Assimilation and accommodation in human–machine teaming for innovation 作为认知合作者的人工智能：人机创新团队中的同化和适应

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-17 DOI: 10.1016/j.jik.2025.100892

Min Jae Park

This study investigates how generative artificial intelligence (GenAI) transforms collaborative innovation by serving not only as a productivity tool but also as a cognitive partner in workplace problem-solving. Drawing on Piaget’s theory of assimilation and accommodation, we propose that the impact of GenAI depends on how users cognitively engage with it, either by fitting it into existing schemas (assimilation) or using it to restructure mental models and workflows (accommodation). To address our hypotheses, we conducted a randomized 2 × 2 factorial field experiment involving 371 professionals in South Korea to compare individuals and teams with or without access to GenAI. Participants completed an open-ended innovation challenge, and their cognitive strategies, emotional responses, and solution outcomes were measured using surveys, behavioral data, and expert evaluations. The results show that GenAI significantly improves innovation quality and emotional engagement, especially when users adopt accommodative strategies. Furthermore, accommodation mediates the integration of cross-functional knowledge, suggesting that cognitive adaptation is a critical mechanism for unlocking GenAI’s collaborative potential. These findings provide new theoretical insights into human–AI teaming, highlighting the importance of organizational support for cognitive flexibility in AI adoption. We conclude that GenAI’s value is maximized not through passive use, but through reflective collaboration and schema-level transformation.

本研究探讨了生成式人工智能（GenAI）如何通过不仅作为生产力工具，而且作为工作场所解决问题的认知伙伴来改变协作创新。根据皮亚杰的同化和适应理论，我们提出GenAI的影响取决于用户如何在认知上参与它，要么将它融入现有的模式（同化），要么使用它来重组心理模型和工作流程（适应）。为了验证我们的假设，我们对韩国的371名专业人员进行了一项随机的2 × 2析因现场实验，以比较使用或不使用GenAI的个人和团队。参与者完成了一个开放式的创新挑战，他们的认知策略、情绪反应和解决方案结果通过调查、行为数据和专家评估来衡量。结果表明，GenAI显著提高了创新质量和情感投入，特别是当用户采用适应性策略时。此外，适应调节了跨职能知识的整合，这表明认知适应是释放GenAI协作潜力的关键机制。这些发现为人类与人工智能的合作提供了新的理论见解，强调了组织支持对人工智能采用中的认知灵活性的重要性。我们得出结论，GenAI的价值最大化不是通过被动使用，而是通过反思性协作和模式级转换。

{"title":"AI as a cognitive collaborator: Assimilation and accommodation in human–machine teaming for innovation","authors":"Min Jae Park","doi":"10.1016/j.jik.2025.100892","DOIUrl":"10.1016/j.jik.2025.100892","url":null,"abstract":"<div><div>This study investigates how generative artificial intelligence (GenAI) transforms collaborative innovation by serving not only as a productivity tool but also as a cognitive partner in workplace problem-solving. Drawing on Piaget’s theory of assimilation and accommodation, we propose that the impact of GenAI depends on how users cognitively engage with it, either by fitting it into existing schemas (assimilation) or using it to restructure mental models and workflows (accommodation). To address our hypotheses, we conducted a randomized 2 × 2 factorial field experiment involving 371 professionals in South Korea to compare individuals and teams with or without access to GenAI. Participants completed an open-ended innovation challenge, and their cognitive strategies, emotional responses, and solution outcomes were measured using surveys, behavioral data, and expert evaluations. The results show that GenAI significantly improves innovation quality and emotional engagement, especially when users adopt accommodative strategies. Furthermore, accommodation mediates the integration of cross-functional knowledge, suggesting that cognitive adaptation is a critical mechanism for unlocking GenAI’s collaborative potential. These findings provide new theoretical insights into human–AI teaming, highlighting the importance of organizational support for cognitive flexibility in AI adoption. We conclude that GenAI’s value is maximized not through passive use, but through reflective collaboration and schema-level transformation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100892"},"PeriodicalIF":15.5,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145546289","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

Proactive and reactive CSR and sustainability performance: Knowledge and organizational learning 主动和被动的企业社会责任和可持续发展绩效：知识和组织学习

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-16 DOI: 10.1016/j.jik.2025.100887

Yingyu Wu , Dujuan Huang , Jiangfeng Ye

This study utilizes survey data from 248 high-tech enterprises in China’s Yangtze River Delta and employs hierarchical regression and bootstrap mediation analysis to investigate the mediating role of organizational learning (i.e., competence exploration and competence exploitation) in the relation between proactive/reactive corporate social responsibility (CSR) and corporate sustainability performance (CSP). Results reveal a dual mediation mechanism: proactive CSR enhances CSP primarily by fostering competence exploration (e.g., innovation and novel capability development, β = 0.27, p < 0.01), whereas reactive CSR improves CSP mainly through competence exploitation (e.g., refinement of existing capabilities, β = 0.24, p < 0.01). These findings indicate that the CSR–CSP link is not monolithic but depends on strategic orientation, which activates distinct organizational learning processes. By empirically identifying organizational learning as a key mediator, this research advances the corporate sustainability literature and challenges homogeneous interpretations of CSR’s impact. Furthermore, it provides novel insights regarding the nuanced effects of proactive versus reactive CSR, clarifying their distinct roles in shaping exploration and exploitation dynamics. This study not only refines theoretical understanding of the CSR–CSP linkages but also offers practical guidance for firms aiming to align CSR strategies with sustainability goals through targeted organizational learning processes.

本研究利用248家长三角高新技术企业的调查数据，运用层次回归和自举中介分析，探讨组织学习（即能力探索和能力开发）在主动/被动企业社会责任（CSR）与企业可持续发展绩效（CSP）之间的中介作用。结果表明，企业社会责任主要通过能力探索（如创新和新能力开发，β = 0.27, p < 0.01）来促进企业社会责任，而被动企业社会责任主要通过能力开发（如现有能力的提炼，β = 0.24, p < 0.01）来促进企业社会责任。这些研究结果表明，企业社会责任与企业社会责任之间的联系不是单一的，而是依赖于战略导向，战略导向激活了不同的组织学习过程。通过实证研究发现组织学习是一个关键的中介，本研究推进了企业可持续发展的文献，并挑战了对企业社会责任影响的同质化解释。此外，它还提供了关于主动与被动CSR微妙影响的新见解，阐明了它们在形成探索和开发动态中的独特作用。本研究不仅完善了企业社会责任与企业社会服务关系的理论理解，而且为企业通过有针对性的组织学习过程将企业社会责任战略与可持续发展目标相结合提供了实践指导。

{"title":"Proactive and reactive CSR and sustainability performance: Knowledge and organizational learning","authors":"Yingyu Wu , Dujuan Huang , Jiangfeng Ye","doi":"10.1016/j.jik.2025.100887","DOIUrl":"10.1016/j.jik.2025.100887","url":null,"abstract":"<div><div>This study utilizes survey data from 248 high-tech enterprises in China’s Yangtze River Delta and employs hierarchical regression and bootstrap mediation analysis to investigate the mediating role of organizational learning (i.e., competence exploration and competence exploitation) in the relation between proactive/reactive corporate social responsibility (CSR) and corporate sustainability performance (CSP). Results reveal a dual mediation mechanism: proactive CSR enhances CSP primarily by fostering competence exploration (e.g., innovation and novel capability development, β = 0.27, <em>p</em> < 0.01), whereas reactive CSR improves CSP mainly through competence exploitation (e.g., refinement of existing capabilities, β = 0.24, <em>p</em> < 0.01). These findings indicate that the CSR–CSP link is not monolithic but depends on strategic orientation, which activates distinct organizational learning processes. By empirically identifying organizational learning as a key mediator, this research advances the corporate sustainability literature and challenges homogeneous interpretations of CSR’s impact. Furthermore, it provides novel insights regarding the nuanced effects of proactive versus reactive CSR, clarifying their distinct roles in shaping exploration and exploitation dynamics. This study not only refines theoretical understanding of the CSR–CSP linkages but also offers practical guidance for firms aiming to align CSR strategies with sustainability goals through targeted organizational learning processes.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100887"},"PeriodicalIF":15.5,"publicationDate":"2025-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580102","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