Journal of Innovation & Knowledge最新文献_第10页

The impact of AI capability on responsible innovation in high-tech SMEs from the perspective of the knowledge-based view 基于知识视角的人工智能能力对高新技术中小企业负责任创新的影响

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-12 DOI: 10.1016/j.jik.2025.100875

Xinyu Teng , Xiu-e Zhang , Yijing Li , Yinuo Dong

The emergence of artificial intelligence (AI) technologies brings numerous opportunities andchallenges to business innovation. Understanding how firms can leverage AI technologies to create business value, propose responsible solutions to social problems, and achieve sustainable development has become important. Based on the knowledge-based view (KBV), a theoretical model is proposed to examine the impact of AI capability on responsible innovation. The study focuses on the mediating role of boundary-spanning search and the moderating roles of knowledge field activity and tech-for-good culture. Hierarchical regression analysis and bootstrapping are applied to data from 520 Chinese high-tech small and medium-sized enterprises (SMEs). The results indicate that AI capability positively influences responsible innovation. This relationship is fully mediated by boundary-spanning search. Knowledge field activity and tech-for-good culture moderate the relationships between AI capability and boundary-spanning search and between boundary-spanning search and responsibleinnovation. They also moderate the indirect effect of boundary-spanning search on the relationship between AI capability and responsible innovation. This study contributes to the literature on AI capabilities and innovation outcomes. It also provides practical insights for managers of high-tech SMEs and policymakers to foster responsible innovation.

人工智能（AI）技术的出现为商业创新带来了许多机遇和挑战。了解企业如何利用人工智能技术创造商业价值，为社会问题提出负责任的解决方案，并实现可持续发展已经变得非常重要。基于知识基础观点，提出了人工智能能力对负责任创新影响的理论模型。研究的重点是跨界搜索的中介作用以及知识领域活动和科技为善文化的调节作用。采用层次回归分析和自举法对520家中国高新技术中小企业的数据进行了分析。结果表明，人工智能能力正向影响负责任创新。这种关系完全由跨界搜索介导。知识领域活动和技术为善文化调节了人工智能能力与跨界搜索之间以及跨界搜索与负责任创新之间的关系。它们还调节了跨界搜索对人工智能能力与负责任创新之间关系的间接影响。本研究对人工智能能力和创新成果的文献有所贡献。为中小科技型企业管理者和政策制定者促进负责任的创新提供了实践见解。

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引用次数: 0

Identifying weak signals in the labor market: a machine learning approach for strategic policymaking 识别劳动力市场中的微弱信号：用于战略决策的机器学习方法

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-11 DOI: 10.1016/j.jik.2025.100884

Anna-Maria Kanzola, Konstantina Papaioannou, Panagiotis E. Petrakis

This study introduces a novel machine learning-based methodology for detecting and forecasting the strength of weak signals in the labor market, using Greece as a case study and utilizing Eurostat time series data (2000–2023). Weak signals, conceptualized as subtle anomalies within otherwise stable labor market indicators, were identified through the Isolation Forest algorithm and projected using a Long Short-Term Memory neural network model. Findings highlight structural instability in male manufacturing employment and wholesale/retail trade, contrasted by stable trends in sectors such as agriculture, education, and public administration. This study contributes to labor market foresight by integrating anomaly detection with predictive analytics, offering valuable insights for proactive, scenario-based policy design in support of a sustainable and adaptive future of work.

本研究介绍了一种新的基于机器学习的方法，用于检测和预测劳动力市场中微弱信号的强度，以希腊为案例研究，并利用欧盟统计局的时间序列数据（2000-2023）。通过隔离森林算法识别弱信号，将其定义为稳定劳动力市场指标中的细微异常，并使用长短期记忆神经网络模型进行预测。研究结果突出了男性制造业就业和批发/零售贸易的结构性不稳定，与农业、教育和公共行政等部门的稳定趋势形成鲜明对比。本研究通过将异常检测与预测分析相结合，有助于劳动力市场的预测，为前瞻性、基于场景的政策设计提供有价值的见解，以支持可持续和适应性的未来工作。

引用次数: 0

Disentangling the Complex Effects of Artificial Intelligence on Carbon Neutrality in China 人工智能对中国碳中和的复杂影响

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-11 DOI: 10.1016/j.jik.2025.100864

Xiaohua Zhou , Yuchen Zou , Yihuan Ding

Rapid artificial intelligence (AI) advancements have emerged as a critical catalyst in curbing carbon emissions and fostering sustainable growth. Drawing upon balanced panel data from 30 Chinese provinces from 2000 to 2022, this study employs the spatial Durbin model, along with mediating and moderating effect models, to explore the influence of industrial intelligence on urban carbon emissions and the underlying mechanisms. The findings reveal an inverted U-shaped relationship between AI development and carbon emissions, exhibiting a critical transition threshold at 12.57 AI firms per 10,000 km². Beyond this threshold, carbon intensity transitions from persistent growth to sustained decline. Mechanism analysis demonstrates differentiated mediation effects: Industrial rationalization significantly mediates emission reduction by optimizing production processes, whereas industrial advancement shows null mediation due to energy rebound effects and time-lag constraints. Moderating effect analyses show that human capital amplifies AI’s decarbonization efficacy. Meanwhile, marketization exhibits statistically insignificant moderation effects, which is attributable to institutional failures in environmental pricing and carbon market fragmentation.

人工智能（AI）的快速发展已成为遏制碳排放和促进可持续增长的关键催化剂。利用2000 - 2022年中国30个省份的均衡面板数据，采用空间Durbin模型，结合中介和调节效应模型，探讨工业智能对城市碳排放的影响及其机制。研究结果揭示了人工智能发展与碳排放之间的倒u型关系，显示出关键的过渡阈值为每10,000平方公里12.57家人工智能公司。超过这个阈值，碳强度将从持续增长转变为持续下降。机制分析表明，产业合理化通过优化生产流程对减排具有显著的中介作用，而产业进步由于能量回弹效应和时滞约束，对减排没有中介作用。调节效应分析表明，人力资本放大了人工智能的脱碳效果。与此同时，市场化的调节效应在统计上不显著，这主要归因于环境定价的制度失灵和碳市场的碎片化。

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引用次数: 0

Towards the knowledge society: A definition, measurements, and limits 走向知识社会：定义、度量和限制

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-11 DOI: 10.1016/j.jik.2025.100873

Roberto Cervelló-Royo , Carlos Devece , José Luis Galdón , Juan J. Lull

The transition from an industrial-based society to a knowledge-based society marks one of the most profound societal transformations of the modern era. This shift is driven by scientific progress, technological advancements, and innovation, thereby shaping economies and social structures. Despite the widespread use of the term “knowledge society,” its definition remains under debate, and its measurement poses significant challenges. This paper examines various perspectives on the Knowledge Society, and proposes a definition rooted in scientific and technological progress while acknowledging the role of ICT, globalisation, and education.

A comprehensive literature review and bibliometric analysis are conducted to assess dominant themes and trends in academic discourse. Furthermore, this study evaluates existing proxy indicators and proposes a novel framework to measure the progress of economies towards a Knowledge Society. Using data from international institutions, this paper analyses the global trends over the past fifty years and assesses the extent to which a fully-fledged Knowledge Society has been realised.

However, this transition is not without challenges. The Knowledge Society relies on highly skilled labour, which raises concerns regarding job displacement due to automation and artificial intelligence. Intellectual property regulations further complicate global knowledge dissemination. Moreover, ensuring that scientific progress aligns with sustainability goals is crucial when addressing ecological concerns such as e-waste and high energy consumption.

Ultimately, the Knowledge Society represents a paradigm shift with significant economic and social implications. By addressing its limitations, societies can harness its potential to drive inclusive growth, innovation, and sustainable development.

从以工业为基础的社会向以知识为基础的社会的转变标志着现代最深刻的社会变革之一。这种转变是由科学进步、技术进步和创新推动的，从而塑造了经济和社会结构。尽管“知识社会”这个术语被广泛使用，但它的定义仍然存在争议，而且它的度量也带来了重大的挑战。本文考察了关于知识社会的各种观点，并提出了一个植根于科技进步的定义，同时承认信息通信技术、全球化和教育的作用。全面的文献回顾和文献计量分析进行评估学术话语的主导主题和趋势。此外，本研究评估了现有的代理指标，并提出了一个新的框架来衡量经济体向知识社会的进展。本文利用来自国际机构的数据，分析了过去50年的全球趋势，并评估了一个完全成熟的知识社会已经实现的程度。然而，这种转变并非没有挑战。知识社会依赖高技能劳动力，这引发了人们对自动化和人工智能导致工作岗位流失的担忧。知识产权法规使全球知识传播进一步复杂化。此外，在解决电子垃圾和高能耗等生态问题时，确保科学进步与可持续发展目标保持一致至关重要。最终，知识社会代表了一种具有重大经济和社会意义的范式转变。通过解决其局限性，社会可以利用其潜力，推动包容性增长、创新和可持续发展。

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引用次数: 0

Driving sustainable development in BRICS through green finance and economic growth: A quantile regression perspective 以绿色金融和经济增长推动金砖国家可持续发展：分位数回归视角

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-11 DOI: 10.1016/j.jik.2025.100879

Jiuhong Yu , Hai Long , Imran Shahzad , Jinyu wang

This study investigates the relationship between green finance and environmental sustainability, with particular attention towards how these dynamics foster green economic growth within BRICS economies. Using a balanced panel dataset spanning 25 years, the research employs the Method of Moments Quantile Regression (MMQR), in order to obtain robust estimates. The results indicate that both green finance and green economic growth significantly enhance environmental sustainability by reducing carbon dioxide emissions and eventually mitigating climate change risks in the BRICS specific countries. Furthermore, the findings reveal that green finance stimulates green economic growth, while green economic growth positively moderates the relationship between green finance and environmental sustainability. Based on these results, the study puts forth a recommendation that BRICS nations strengthen the role of the banking sector and other financial institutions when it comes to advancing green financial initiatives. Greater emphasis on green finance and environmentally oriented and driven economic projects is essential for mitigating climate risks and achieving sustainable development.

本研究探讨了绿色金融与环境可持续性之间的关系，特别关注这些动态如何促进金砖国家经济体的绿色经济增长。使用跨越25年的平衡面板数据集，研究采用矩分位数回归（MMQR）方法，以获得稳健的估计。研究结果表明，绿色金融和绿色经济增长通过减少二氧化碳排放并最终缓解金砖国家气候变化风险，显著提高了环境可持续性。绿色金融促进绿色经济增长，绿色经济增长正向调节绿色金融与环境可持续性的关系。基于这些结果，该研究建议金砖国家在推进绿色金融倡议方面加强银行业和其他金融机构的作用。更加重视绿色金融和以环境为导向和驱动的经济项目，对缓解气候风险和实现可持续发展至关重要。

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引用次数: 0

Artificial intelligence, innovation and the new architecture of exploitation: Towards reconfiguring humanness in the age of algorithmic labour 人工智能、创新和剥削的新架构：在算法劳动时代重新配置人类

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-09 DOI: 10.1016/j.jik.2025.100878

Dennis Pepple , Nadeesha Muthuthantrige

Purpose

This conceptual study explores how artificial intelligence (AI) is transforming the nature of work and reconfiguring the experience of humanness, particularly among low-skilled and informal workers.

Method

Using an integrative literature review methodology, the study synthesises interdisciplinary research from organisational studies, sociology, and AI ethics to examine the mechanisms through which AI-driven labour displacement, algorithmic management, and structural precarity contribute to new forms of exploitation.

Findings

The study develops a novel conceptual framework that links technological transformation to the erosion of the relational, moral, and emotional dimensions of work conditions, resulting in conditions increasingly resembling modern slavery.

Originality

the study’s novelty lies in its reframing of AI as a socio-technical actor with ontological consequences for worker identity, autonomy, and dignity. The findings underscore the need for ethical AI design, inclusive policy frameworks, and human-centred organisational practices.

Practical implications

This paper offers practical implications for policymakers, technologists, and business leaders seeking to align innovation with social justice and sustainable labour futures.

Plain summary

Artificial intelligence (AI) is reshaping the nature of work and disrupting the human experience, especially for low-skilled and informal workers, highlighting the urgency and complexity of this research. AI-driven labour displacement and algorithmic management contribute to new forms of exploitation that echo modern slavery. The erosion of humanness at work is linked to reduced autonomy, empathy, and moral agency under opaque algorithmic systems. A socio-technical framework is needed to address AI’s impact on dignity and agency, with ethical design and inclusive governance at its core.

JEL Code

O330, O31, O32

本概念性研究探讨了人工智能（AI）如何改变工作的性质，并重新配置人类的体验，特别是在低技能和非正式工人中。方法采用综合文献综述方法，本研究综合了组织研究、社会学和人工智能伦理的跨学科研究，考察了人工智能驱动的劳动力流离失所、算法管理和结构不稳定性导致新形式剥削的机制。该研究提出了一个新的概念框架，将技术变革与工作条件的关系、道德和情感维度的侵蚀联系起来，导致工作条件越来越像现代奴隶制。这项研究的新颖之处在于它将人工智能重新定义为一个社会技术行动者，对工人的身份、自主性和尊严具有本体论的影响。研究结果强调了道德人工智能设计、包容性政策框架和以人为本的组织实践的必要性。本文为寻求将创新与社会正义和可持续劳动力未来相结合的政策制定者、技术专家和商业领袖提供了实际意义。人工智能（AI）正在重塑工作的性质，颠覆人类的体验，尤其是对低技能和非正式工人来说，这凸显了这项研究的紧迫性和复杂性。人工智能驱动的劳动力置换和算法管理催生了与现代奴隶制相呼应的新形式的剥削。在不透明的算法系统下，工作中人性的侵蚀与自主性、同理心和道德能动性的降低有关。需要一个社会技术框架来解决人工智能对尊严和能动性的影响，其核心是道德设计和包容性治理。JEL CodeO330, O31, O32

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引用次数: 0

Idea rejection and subsequent innovation intention in Chinese small and medium-sized enterprises: A social cognitive theory perspective 中国中小企业的理念拒绝与后续创新意愿：一个社会认知理论视角

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-09 DOI: 10.1016/j.jik.2025.100880

Minrong Wen , Tengteng Zhu , Fangfang Yang , Huixia Huang

Employees’ creative ideas are internal resources that may enable organisations to adapt to external change, create competitive advantage, and develop growth opportunities. Managerial rejection of innovative ideas is a significant challenge that may diminish employee motivation and willingness to contribute ideas. We surveyed 336 employees from research and development and technology departments to investigate the relationship among idea rejection (IR), creative self-efficacy (CSE), and subsequent innovation intention (SII). The findings reveal that IR significantly decreased employees’ motivation to innovate; moreover, CSE mediated the relationship between IR and SII. Finally, quality managerial feedback may moderate this relationship and enhance self-efficacy’s positive effects on innovation. These results highlight effective managerial feedback’s importance in mitigating IR’s negative consequences and fostering a culture of innovation. Organisations are encouraged to implement practices that enhance feedback mechanisms and support CSE to align employee innovation with organisational objectives.

员工的创意是内部资源，可以使组织适应外部变化，创造竞争优势，发展增长机会。管理拒绝创新的想法是一个重大的挑战，可能会降低员工的积极性和贡献想法的意愿。本研究调查了336名来自研发和技术部门的员工，探讨了创意拒绝（IR）、创造自我效能感（CSE）和后续创新意愿（SII）之间的关系。研究结果表明，IR显著降低了员工的创新动机；此外，CSE在IR和SII之间起到中介作用。最后，质量管理反馈可以调节这种关系，增强自我效能感对创新的正向影响。这些结果突出了有效的管理反馈在减轻IR的负面影响和培养创新文化方面的重要性。鼓励组织实施增强反馈机制的实践，并支持CSE将员工创新与组织目标结合起来。

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引用次数: 0

How authentic leadership prevents knowledge hiding: The mediating roles of psychological safety and relational identification 真实型领导如何防止知识隐藏：心理安全和关系认同的中介作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-08 DOI: 10.1016/j.jik.2025.100881

Xintian Li , Peng Peng

Knowledge-hiding (KH) behaviors undermine innovation and collaboration, making it critical to understand their antecedents and identify effective countermeasures. Drawing on social information processing theory and social identity theory, this study develops and empirically tests a dual mediation model that links authentic leadership (AL) to employee KH behavior via psychological safety (PS) and relational identification (RI). On the basis of a two-wave survey of 337 knowledge-based employees in China, the results show that AL significantly reduces KH behaviors, both directly and indirectly through enhanced PS and RI. These findings reveal key psychological mechanisms through which AL fosters a more transparent and collaborative work environment. This study contributes to the literature on leadership and knowledge management, providing practical guidance for organizations seeking to promote knowledge sharing.

知识隐藏（KH）行为会破坏创新和协作，因此了解其前因和确定有效的对策至关重要。本研究运用社会信息加工理论和社会认同理论，构建了真实型领导（AL）通过心理安全（PS）和关系认同（RI）影响员工KH行为的双重中介模型，并进行了实证检验。基于对中国337名知识型员工的两波调查，结果表明，人工智能通过增强PS和RI，直接或间接地显著减少了KH行为。这些发现揭示了人工智能培养一个更加透明和协作的工作环境的关键心理机制。本研究对领导力与知识管理的相关文献有所贡献，为寻求促进知识共享的组织提供实践指导。

引用次数: 0

Job crafting in innovative digital contexts: A configurational analysis of behavioral pathways to performance 创新数字环境下的工作制作：行为绩效路径的配置分析

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-06 DOI: 10.1016/j.jik.2025.100874

Jun 张君 Zhang, Junbo 崔君博 Cui, 柴欣辰 xinchen Chai

Job crafting is a multidimensional construct rather than a one-dimensional variable. However, prior research often treats it as a holistic concept or examines its impacts through isolated dimensions. Employing action theory and fuzzy-set qualitative comparative analysis (fsQCA), this study explores how the four dimensions of job crafting influence employee performance. Given the growing prevalence of job crafting within digital environments, this study integrates digital transformation and digital leadership as task-related and social environmental factors, respectively, to investigate pathways leading to high performance in the context of work reimagining. The findings indicate that the inclusion of enterprise digital transformation and digital leadership elevates the number of high-performance configurations from two to three. This underscores the role of contextual enablers in facilitating more diverse and flexible routes to high performance. This study offers both theoretical contributions and practical implications.

工作制作是一个多维的结构，而不是一个一维的变量。然而，以往的研究往往将其视为一个整体概念，或通过孤立的维度来考察其影响。本研究运用行动理论和模糊集定性比较分析（fsQCA），探讨工作制作的四个维度对员工绩效的影响。鉴于在数字环境中工作制作越来越普遍，本研究将数字转型和数字领导分别作为任务相关和社会环境因素，以调查在工作重塑背景下导致高绩效的途径。研究结果表明，企业数字化转型和数字化领导的纳入将高性能配置的数量从两个提升到三个。这强调了上下文推动者在促进实现高性能的更多样化和更灵活的途径方面的作用。本研究既有理论贡献，也有实际意义。

引用次数: 0

A data-driven framework for ESG prioritization: PCR-based insights for sustainable governance and growth ESG优先级的数据驱动框架：可持续治理和增长的基于pcr的见解

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-11-05 DOI: 10.1016/j.jik.2025.100877

Ming Fang , Chiu-Lan Chang , Hasan Dinçer , Serhat Yüksel

Environmental, social, and governance (ESG)-based investment strategies aim to integrate not only economic but also ethical and environmental dimensions into financial decision-making processes to promote sustainable economic growth. However, the relative effects of ESG criteria on economic growth have not been sufficiently examined in the existing literature, creating a significant research gap. Consequently, investment priorities and public policies cannot be determined effectively. The main objective of this study is to identify strategies that enable countries with limited resources to prioritize the ESG factors yielding the greatest benefit. The decision-making model proposed in this study is based on the principal component regression (PCR) approach, which minimizes multicollinearity issues. In this process, data from 155 countries for the year 2020 are taken into consideration. This study makes three main contributions to the literature: (1) a comparative examination of the relative effects of ESG factors on economic growth, (2) identifying how these effects differ across country groups, and (3) analyzing multicollinearity among ESG variables more accurately through the PCR method. The findings indicate that environmental burdens negatively affect growth in Asia, whereas education expenditures positively influence growth in developed economies.

基于环境、社会和治理（ESG）的投资策略旨在将经济、道德和环境因素纳入金融决策过程，以促进可持续的经济增长。然而，在现有文献中，ESG标准对经济增长的相对影响尚未得到充分的研究，造成了重大的研究空白。因此，不能有效地确定投资优先事项和公共政策。本研究的主要目标是确定战略，使资源有限的国家能够优先考虑产生最大效益的ESG因素。本研究提出的决策模型基于主成分回归（PCR）方法，该方法最大限度地减少了多重共线性问题。在这一过程中，我们考虑了155个国家2020年的数据。本研究对文献做出了三个主要贡献：(1)比较检验了ESG因素对经济增长的相对影响；(2)确定了这些影响在不同国家群体之间的差异；(3)通过PCR方法更准确地分析了ESG变量之间的多重共线性。研究结果表明，环境负担对亚洲经济增长产生负面影响，而教育支出对发达经济体的增长产生积极影响。

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引用次数: 0