Journal of Innovation & Knowledge最新文献_第5页

An AI-enabled micro-level analysis of organizational and technological paths to green upgrading 基于人工智能的绿色升级组织和技术路径微观分析

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-07 DOI: 10.1016/j.jik.2026.100936

Lelai Shi , Hong Lin , Qiuhang Chen

With global warming and escalating environmental pollution, governments worldwide have committed to promoting traditional manufacturing industries’ green transformation and upgrading. What role does artificial intelligence (AI) have in this effort? Herein, we construct a micro-level theoretical model to analyze how AI affects firms’ green transformation, adopting a two-way fixed effects (TWFE) model to examine panel data from Chinese A-share listed traditional manufacturing enterprises from 2011 to 2022 for empirical analyses. The results reveal that AI significantly promotes enterprises’ green transformation efficiency (GTI). Mechanism analyses demonstrate that AI promotes corporate organizational innovation, including adjusting organizational and employee structures and promotes technological innovation by accelerating technical progress and reducing energy intensity. Heterogeneity analysis of enterprises’ internal management and external environment shows that AI can effectively improve firms’ GTI when executives have technological backgrounds, engage in long-term decision-making, and the region has strong intellectual property rights protection, high environmental regulation intensity, and an elevated degree of social trust. Overall, this study elucidates the influence and conditions of AI in the traditional manufacturing industry’s green transformation and upgrading and has significant the implications for relevant policy development.

随着全球气候变暖和环境污染加剧，世界各国政府都致力于推动传统制造业的绿色转型升级。人工智能（AI）在这一努力中扮演什么角色？本文构建了人工智能对企业绿色转型影响的微观理论模型，采用双向固定效应（TWFE）模型对2011 - 2022年中国a股上市传统制造业企业面板数据进行实证分析。结果表明，人工智能显著提升了企业的绿色转型效率（GTI）。机制分析表明，人工智能促进企业组织创新，包括调整组织结构和员工结构，并通过加速技术进步和降低能源强度来促进技术创新。企业内部管理与外部环境的异质性分析表明，当高管具有技术背景、参与长期决策、区域知识产权保护力度强、环境监管强度高、社会信任度高时，人工智能可以有效提高企业GTI。总体而言，本研究阐明了人工智能对传统制造业绿色转型升级的影响和条件，对相关政策制定具有重要意义。

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引用次数: 0

Review and comparison of the current and desired status of the organization's infrastructure for implementing knowledge management strategies 审查和比较组织实施知识管理策略的基础设施的当前和期望状态

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-03 DOI: 10.1016/j.jik.2025.100923

Reza Rostamzadeh , Taher Najari , Dalia Streimikienė , Hero Isavi

Revised: Given the increasing emphasis on knowledge management (KM) in academic circles and the growing body of research literature in this field, the researcher conducted a meta-analysis using the Scopus database. The review focused on data extracted between 1996 and 2024 and included functional, graphical, and content analyses. An initial search of Scopus retrieved 2495 scientific documents. The researcher then filtered the results using the database tools for publication year, document type, Scopus classification, and language. After preprocessing, 175 scientific documents remained for inclusion in the meta-synthesis. The researcher performed data visualization and analysis in RStudio, VOSviewer, and MAXQDA software. The main contributions of this research are as follows: (1) identifying the most influential authors, countries, journals, universities, and articles within the field; (2) mapping the dimensions of the field and identifying keyword gaps through content analysis; and (3) conducting thematic analysis and pinpointing central components.

鉴于学术界对知识管理（knowledge management， KM）的重视程度越来越高，且该领域的研究文献越来越多，研究者使用Scopus数据库进行meta分析。该综述集中于1996年至2024年间提取的数据，包括功能、图形和内容分析。Scopus的初步检索检索到2495篇科学文献。然后，研究人员使用数据库工具根据出版年份、文档类型、Scopus分类和语言筛选结果。经预处理后，175份科学文献仍可纳入元综合。研究人员在RStudio、VOSviewer和MAXQDA软件中进行数据可视化和分析。本研究的主要贡献如下：(1)确定了该领域内最具影响力的作者、国家、期刊、大学和文章；(2)通过内容分析映射领域维度，识别关键词差距；(3)进行专题分析，找出核心成分。

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引用次数: 0

AI capacity in the public sector: Pathways from the environmental context to an organizational impact 公共部门的人工智能能力：从环境背景到组织影响的途径

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-03 DOI: 10.1016/j.jik.2025.100931

Truc Thanh Phan , Phuong Van Nguyen , Vincenzo Corvello , Thao Thi Phuong Pham

Artificial intelligence (AI) is reshaping the operation of public organizations, yet many still struggle to harness its full potential amid institutional complexity and digital transitioning. Characteristically different from the private sector, the public sector requires the development and testing of specific models. However, most studies on the impact of AI have focused primarily on the private sector, leaving public organizations largely underinvestigated. This study examines how public sector agencies develop AI capacity and how this contributes to performance through key internal mechanisms, including organizational creativity and AI management. Using the resource-based view as a guiding framework, a structural model was developed to capture the effects of government mandates, citizen expectations, regulatory clarity, and public incentives on AI capacity and its organizational outcomes. Survey data from 225 senior managers employed in Vietnamese public organizations were analyzed using partial least squares–structural equation modeling. The findings illustrate that environmental context plays a crucial role in enhancing AI capacity, which, in turn, impacts both creativity and performance. However, AI management is not yet consistently translated into AI-driven decision-making, suggesting that public organizations are still in the early stages of embedding AI into their strategic processes. The study demonstrates that the performance benefits of AI are contingent on a comprehensive approach. Further, these gains are a function of not only technology but also key complementary factors, such as cultural readiness, managerial alignment, and institutional support. The study provides practical recommendations for leaders in emerging economies, outlining ways to strengthen governance and address complex challenges via more effective integration of AI into organizational operations.

人工智能（AI）正在重塑公共组织的运作，但在制度复杂性和数字化转型的背景下，许多公共组织仍难以充分发挥其潜力。公共部门与私营部门的特点不同，它需要开发和试验具体的模式。然而，大多数关于人工智能影响的研究主要集中在私营部门，而对公共组织的调查基本上不足。本研究考察了公共部门机构如何发展人工智能能力，以及这如何通过关键的内部机制（包括组织创造力和人工智能管理）促进绩效。以资源基础观点为指导框架，开发了一个结构模型，以捕捉政府授权、公民期望、监管清晰度和公共激励对人工智能能力及其组织结果的影响。采用偏最小二乘结构方程模型对225名越南公共组织高级管理人员的调查数据进行了分析。研究结果表明，环境背景在提高人工智能能力方面起着至关重要的作用，而人工智能能力反过来又会影响创造力和表现。然而，人工智能管理尚未始终转化为人工智能驱动的决策，这表明公共组织仍处于将人工智能嵌入其战略流程的早期阶段。研究表明，人工智能的性能优势取决于一种全面的方法。此外，这些收益不仅是技术的功能，而且是关键互补因素的功能，例如文化准备、管理一致性和机构支持。该研究为新兴经济体的领导人提供了实用建议，概述了通过更有效地将人工智能整合到组织运营中来加强治理和应对复杂挑战的方法。

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引用次数: 0

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-03 DOI: 10.1016/j.jik.2025.100921

Astrid Jaime , Mariutsi Alexandra Osorio-Sanabria , Deysi Yohana Bernal Torres

Industry 4.0 (I4.0) and Industry 5.0 (I5.0) represent milestones in global industrial development, signaling changes in the design, management, and optimization of production processes. These two industrial paradigms have also reshaped the labor market, productivity, and competitiveness. Despite their revolutionary potential, they have caused confusion among scholars, professionals, and members of society. This study seeks to reduce this confusion. Based on a systematic literature review, the study examines the similarities and differences between I4.0 and I5.0. Bibliometric data were gathered from the Scopus database for the period 2019 to 2023. The review reveals similarities and differences between I4.0 and I5.0 in terms of their technological, human, productive, and environmental dimensions. These dimensions are the bases for proposing a model for transitioning from I4.0 to I5.0, which, in addition to the dimensions identified, includes the challenges, enablers, and critical success factors. The model could serve for establishing the bases for a holistic strategy for those interested in this transition. The findings offer a structured introduction to the topic and provide value for research and practice in academia and business contexts.

工业4.0 （I4.0）和工业5.0 （I5.0）代表了全球工业发展的里程碑，标志着生产过程设计、管理和优化方面的变化。这两种产业模式也重塑了劳动力市场、生产力和竞争力。尽管它们具有革命性的潜力，但它们在学者、专业人士和社会成员中引起了混乱。这项研究试图减少这种困惑。在系统文献综述的基础上，本研究考察了I4.0和I5.0之间的异同。文献计量数据从Scopus数据库中收集，时间为2019年至2023年。这篇综述揭示了工业4.0和工业5.0在技术、人力、生产和环境方面的异同。这些维度是提出从I4.0过渡到I5.0的模型的基础，除了确定的维度之外，还包括挑战、推动因素和关键的成功因素。这一模式可以为那些对这一过渡感兴趣的人建立一个全面战略的基础。研究结果为该主题提供了一个结构化的介绍，并为学术界和商业环境中的研究和实践提供了价值。

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引用次数: 0

AI-driven HRM digitization in effect: Mechanisms, conditions, and employee outcomes 人工智能驱动的人力资源管理数字化：机制、条件和员工成果

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-02 DOI: 10.1016/j.jik.2025.100919

Ahsan Ali , Dariusz Cichoń , Asad Abbas

Artificial intelligence (AI) is increasingly used in contemporary organizations as a tool for digitizing systems and reconfiguring key functions such as human resource management (HRM). However, not all employees exposed to AI-driven HRM digitization benefit equally in their capacity to generate innovative outcomes. Drawing on self-determination theory and integrating perspectives from organizational learning, this study advances a moderated mediation model that explains how and when AI-enabled HRM digitization fosters innovation. We propose that, while AI-driven HRM practices can stimulate the metacognitive strategies of employees, the extent to which these strategies translate into enhanced innovation depends critically on their tacit knowledge awareness. In this proposal, we highlight the paradoxical nature of algorithmic systems: they may serve as autonomy-supportive tools that encourage exploration and self-directed learning or as autonomy-controlling mechanisms that intensify monitoring and reduce intrinsic motivation. Using a multi-wave, multi-source field study of Chinese employees and supervisors (N = 347), we found that AI-driven HRM positively predicts innovation through metacognitive strategies, but only when employees demonstrate high levels of tacit knowledge awareness. When awareness is low, AI-HRM digitization fails to enhance innovation, which reveals the limitations of digital HRM effectiveness. These findings underscore that tacit knowledge awareness fundamentally conditions how AI-driven HRM digitization supports or undermines innovation, which advances theory by extending self-determination perspectives to technology-mediated HRM. Thus, this study discusses the theoretical and practical implications for designing AI-enabled HRM systems that balance algorithmic control with employee autonomy.

人工智能（AI）越来越多地用于现代组织，作为数字化系统和重新配置关键功能（如人力资源管理（HRM））的工具。然而，并不是所有接受人工智能驱动的人力资源管理数字化的员工在产生创新成果的能力上都能同样受益。利用自我决定理论并整合组织学习的观点，本研究提出了一个有调节的中介模型，该模型解释了人工智能支持的人力资源管理数字化如何以及何时促进创新。我们认为，虽然人工智能驱动的人力资源管理实践可以激发员工的元认知策略，但这些策略转化为增强创新的程度关键取决于他们的隐性知识意识。在本提案中，我们强调了算法系统的矛盾本质：它们可以作为鼓励探索和自主学习的自主支持工具，也可以作为加强监控和减少内在动机的自主控制机制。通过对中国员工和主管（N = 347）的多波、多源实地研究，我们发现人工智能驱动的人力资源管理通过元认知策略积极预测创新，但只有当员工表现出高水平的隐性知识意识时。在认知度较低的情况下，人工智能人力资源管理数字化并不能增强创新能力，从而暴露出数字化人力资源管理有效性的局限性。这些发现强调，隐性知识意识从根本上决定了人工智能驱动的人力资源管理数字化如何支持或破坏创新，这通过将自决视角扩展到技术介导的人力资源管理来推进理论。因此，本研究讨论了设计人工智能支持的人力资源管理系统的理论和实践意义，以平衡算法控制与员工自主权。

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引用次数: 0

From boardrooms to greenrooms: Directors' environmental background and green innovation 从会议室到休息室：董事的环保背景与绿色创新

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-01 DOI: 10.1016/j.jik.2025.100928

Farman Ali , Asif Ali , Ding Haotian , Imran Ali

Green innovation plays a crucial role in achieving sustainable development goals, particularly in countries with tremendous economic growth over a given period, such as China. Thus, our study selected a sample of Chinese A-share listed firms from 2003 to 2022 and employed the ordinary least squares (OLS) method to investigate the impact of directors’ environmental backgrounds on corporate green innovation. The outcomes show that directors’ environmental background positively and significantly affects green innovation, thereby suggesting that directors with an environmental background are more likely to promote green innovation. These outcomes are congruent with the imprinting theory and the upper echelons theory. In addition, this study examines the moderating role of industry pollution intensity and finds that the impact of directors’ environmental background on green innovation is weaker for highly polluted firms than for low-polluted firms. Further outcomes reveal that directors' environmental background stimulates green innovation more significantly in low-pollution firms. Overall, our results suggest that firms and the government should attract and retain directors with an environmental background to promote green innovation.

绿色创新在实现可持续发展目标方面发挥着至关重要的作用，特别是在中国等在特定时期内实现了巨大经济增长的国家。因此，本研究选取2003 - 2022年中国a股上市公司为样本，采用普通最小二乘（OLS）方法考察董事环境背景对企业绿色创新的影响。结果表明，董事的环境背景对绿色创新具有显著的正向影响，表明具有环境背景的董事更有可能推动绿色创新。这些结果与印迹理论和上层梯队理论是一致的。此外，本研究还考察了行业污染强度的调节作用，发现高污染企业董事环境背景对绿色创新的影响弱于低污染企业。进一步的研究结果表明，低污染企业的董事环境背景对绿色创新的激励作用更显著。总体而言，我们的研究结果表明，企业和政府应该吸引和留住具有环境背景的董事，以促进绿色创新。

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引用次数: 0

From novelty to necessity: Understanding CRM-driven service robot adoption in Iraqi restaurants through UTAUT3 从新奇到必要：通过UTAUT3了解伊拉克餐馆采用crm驱动的服务机器人

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-31 DOI: 10.1016/j.jik.2025.100916

Mustafa Obay Saeed , Amir A. Abdulmuhsin , Dima M. Dajani

This study investigates the determinants of restaurant managers’ behavioural intention (BI) to adopt customer relationship management (CRM)-driven service robots within the Iraqi hospitality sector. In this developing market, digital transformation remains at an early stage. Drawing on the extended Unified Theory of Acceptance and Use of Technology 3 (UTAUT3), the model incorporates performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), habit (HA), and personal innovativeness (PI). Data were collected from 283 managers employed in four-star and higher-rated Iraqi restaurants using a mixed-methods survey design and analysed using the partial least squares structural equation modelling (PLS-SEM) in SmartPLS v3.9. The results demonstrate that all hypothesised relationships were significant, with PI, HA, and PV emerging as the strongest predictors of adoption intention, followed by HM and PE. EE, FC, and SI exerted weaker yet meaningful effects. These findings underscore the importance of individual traits, economic considerations, and experiential motivations in shaping technology acceptance, in contrast to global studies that emphasise PE and SI. The research advances the UTAUT2 framework by integrating PI and offers theoretical insights into adoption in emerging markets. Practical implications are highlighted for vendors, managers, and policymakers in the restaurant industry who are seeking to foster service innovation under resource constraints.

本研究调查了伊拉克酒店业内餐厅经理采用客户关系管理（CRM）驱动的服务机器人的行为意图（BI）的决定因素。在这个发展中市场，数字化转型仍处于早期阶段。借鉴扩展的技术接受与使用统一理论3 (UTAUT3)，该模型纳入了绩效期望（PE）、努力期望（EE）、社会影响（SI）、促进条件（FC）、享乐动机（HM）、价格价值（PV）、习惯（HA）和个人创新（PI）。使用混合方法调查设计从四星级和更高评级的伊拉克餐馆雇用的283名经理中收集数据，并使用SmartPLS v3.9中的偏最小二乘结构方程模型（PLS-SEM）进行分析。结果表明，所有假设的关系都是显著的，PI、HA和PV是采用意愿的最强预测因子，其次是HM和PE。EE、FC和SI的影响较弱，但有意义。与强调PE和SI的全球研究相比，这些发现强调了个人特征、经济考虑和经验动机在塑造技术接受度方面的重要性。该研究通过整合PI推进了UTAUT2框架，并为新兴市场的采用提供了理论见解。对于餐饮业中寻求在资源限制下促进服务创新的供应商、管理人员和政策制定者来说，本文的实际意义尤为突出。

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引用次数: 0

How does energy infrastructure affect corporate innovation? Evidence from ultra-high voltage transmission projects in China 能源基础设施如何影响企业创新？来自中国超高压输电项目的证据

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-30 DOI: 10.1016/j.jik.2025.100932

Ting Chen , Qiuwang Cheng

Ultra-high voltage (UHV) transmission projects are a cornerstone of China’s supply-side energy reforms, enhancing the national power system’s balance, efficiency, and resilience. Although their macroeconomic importance is widely recognized, evidence regarding how they affect corporate innovation remains limited. This study investigates the innovation effects of UHV deployment by exploiting its staggered rollout as a quasi-natural experiment. Using a difference-in-differences approach on a panel of Chinese listed firms from 2007 to 2023, we find that UHV deployment significantly boosts firm-level innovation output, increasing patent applications by 13.1 % on average. The effect is stronger in electricity-exporting provinces, central-western regions, areas with weaker grid capacity, and manufacturing firms. Thus, UHV yields higher innovation returns in structurally constrained environments. Mechanism analyses identify two key channels: alleviating financing constraints and facilitating digital transformation. UHV deployment also facilitates regional resource reallocation and supports corporate green transformation. By integrating energy infrastructure into the innovation literature, this study demonstrates that large-scale projects such as UHV serve not only as technical upgrades but also as strategic levers for innovation and sustainability. Overall, the findings offer actionable insights for developing economies seeking inclusive innovation-driven growth amid global green transition.

特高压输电项目是中国供给侧能源改革的基石，增强了国家电力系统的平衡、效率和弹性。尽管它们在宏观经济上的重要性已得到广泛认可，但关于它们如何影响企业创新的证据仍然有限。本研究通过利用特高压部署的交错部署作为准自然实验来研究其创新效应。通过对2007 - 2023年中国上市公司面板的差异中差异分析，我们发现特高压部署显著提高了企业层面的创新产出，平均增加了13.1%的专利申请。这种影响在电力出口省份、中西部地区、电网容量较弱的地区和制造业企业中更为明显。因此，在结构受限的环境中，特高压产生更高的创新回报。机制分析确定了两个关键渠道：缓解融资约束和促进数字化转型。特高压的部署也促进了区域资源的重新配置，支持了企业的绿色转型。通过将能源基础设施纳入创新文献，本研究表明，特高压等大型项目不仅可以作为技术升级，还可以作为创新和可持续发展的战略杠杆。总体而言，研究结果为在全球绿色转型中寻求包容性创新驱动增长的发展中经济体提供了可行的见解。

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引用次数: 0

Independent inventors in Italy: The role of sex and age in career development 意大利的独立发明家：性别和年龄在职业发展中的作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-24 DOI: 10.1016/j.jik.2025.100929

Federico Caviggioli

Independent inventors are considered important contributors to technological progress. However, empirical studies on individuals who retain the intellectual property rights in patented inventions are relatively scarce. This work analyzes a sample of more than 20k inventors who debuted between 1994 and 2017 and who filed at least one patent at the Italian Patent Office (UIBM) as independent: i.e., they were also the applicant/assignee. UIBM reports independent inventors’ national tax IDs, which allow identification of sex, date of birth, and place of birth. Inventors’ patent portfolios are reconstructed using their names and through filtering criteria to reduce the presence of false positives and negatives. The analyses confirm the presence of female underrepresentation (slowly declining), and sex-related differences in mean age and age distribution at the patenting debut. The dynamic process from independent to organizational inventor is then examined. Results of the survival analyses suggest that, ceteris paribus, female inventors are less likely to become organizational inventors than their male counterparts, while the role of age is negligible. However, within the subsample of inventors becoming organizational, female innovators transition more quickly, suggesting a potential selection effect that excludes many female patentees from pursuing their careers.

独立发明家被认为是技术进步的重要贡献者。然而，关于专利发明中知识产权保留个体的实证研究相对较少。这项工作分析了1994年至2017年期间首次亮相的2万多名发明家的样本，他们在意大利专利局（UIBM）以独立身份提交了至少一项专利：即他们也是申请人/受让人。UIBM报告独立发明者的国家税号，允许识别性别，出生日期和出生地点。使用发明人的姓名并通过过滤标准重建发明人的专利组合，以减少假阳性和假阴性的存在。分析证实了女性代表性不足（缓慢下降）的存在，以及首次申请专利时平均年龄和年龄分布的性别相关差异。然后考察了从独立发明者到组织发明者的动态过程。生存分析的结果表明，在其他条件相同的情况下，女性发明家成为组织发明家的可能性低于男性发明家，而年龄的作用可以忽略不计。然而，在成为组织的发明者的子样本中，女性创新者的转变更快，这表明潜在的选择效应将许多女性专利权人排除在职业发展之外。

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引用次数: 0

Corporate alignment to innovation and knowledge: detecting patterns in multidimensional impact across global industries 企业与创新和知识的一致性：在全球行业的多维影响中检测模式

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-20 DOI: 10.1016/j.jik.2025.100917

Alexandra Horobet , Arindam Banerjee , Ioana-Alexandra Radu , Cosmin-Alin Botoroga

This study examines the impact of a commitment to Sustainable Development Goal 9 (SDG 9) objectives by exploring sectoral and regional disparities in how companies aligned with this goal leverage digital technologies and knowledge, foster innovation ecosystems, and deliver measurable contributions to sustainable infrastructure development. Using the SDG-aligned revenue share as the main metric for SDGs commitment across 5,323 global companies provided by the Upright platform, we employed a machine-learning-based k-means clustering algorithm to detect patterns of net impacts created across the Society, Knowledge, Health, and Environment (SKHE) dimensions. We also uncovered sectoral and geographical patterns of the companies investigated. Our findings show that alignment with SDG 9 (Industry, Knowledge, and Innovation) is associated with corporate commitment to SKHE dimensions, as well as sectoral and, to some extent, geographical scope. The results offer practical implications for investors, policymakers designing regulations and guidelines to improve sustainability disclosure, and company executives who are developing sustainability strategies.

本研究考察了对可持续发展目标9 （SDG 9）目标的承诺所产生的影响，探讨了实现这一目标的企业在利用数字技术和知识、培育创新生态系统以及为可持续基础设施发展做出可衡量贡献方面的行业和地区差异。我们使用与可持续发展目标一致的收入份额作为衡量5323家全球公司可持续发展目标承诺的主要指标，采用基于机器学习的k-means聚类算法来检测社会、知识、健康和环境（SKHE）维度产生的净影响模式。我们还发现了被调查公司的行业和地理模式。我们的研究结果表明，与可持续发展目标9（工业、知识和创新）的一致性与企业对SKHE维度的承诺以及部门和某种程度上的地理范围有关。研究结果对投资者、制定法规和指导方针以改善可持续发展信息披露的政策制定者以及正在制定可持续发展战略的公司高管具有实际意义。

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引用次数: 0