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

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 : 2026-03-01 Epub 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

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 : 2026-03-01 Epub 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。

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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 : 2026-03-01 Epub 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。

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引用次数: 0

Does AI promote synergistic efficiency in reducing textile industry pollution and carbon emissions? 人工智能在减少纺织工业污染和碳排放方面是否促进了协同效率？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-03-01 Epub Date: 2025-12-05 DOI: 10.1016/j.jik.2025.100904

Lelai Shi , Qiuhang Chen , Hong Lin

This study uses 102 textile enterprises listed in China’s A-share market from 2012 to 2022 as the research objects to explore the impact of artificial intelligence (AI) on enhancing textile enterprises’ pollution and carbon emissions reduction. Findings reveal that AI can significantly promote textile enterprises’ coordinated enhancement of pollution and carbon emissions reduction, and this finding holds after a series of robustness tests. The mechanism analysis demonstrates that textile enterprises’ pollution and carbon emissions reduction can be promoted by AI through improving textile raw material suppliers’ total factor productivity, increasing the fixed investment for pollution and carbon emissions reduction, and reducing the price of cotton. Heterogeneity analysis reveals that the positive impact of AI is more significant for textile enterprises with high environmental regulation intensity, executives with digital backgrounds, and intellectual property demonstration cities. In response to these findings, we propose relevant policy suggestions to provide references for accelerating textile enterprises’ transformation and upgrading and promoting steady economic growth.

本研究以2012年至2022年在中国a股上市的102家纺织企业为研究对象，探讨人工智能（AI）对增强纺织企业污染减排和碳减排的影响。研究结果表明，人工智能可以显著促进纺织企业污染减排和碳减排的协同增强，经过一系列稳健性检验，这一发现成立。机制分析表明，人工智能可以通过提高纺织原料供应商的全要素生产率、增加污染减排和碳减排的固定投资、降低棉花价格来促进纺织企业的污染减排和碳减排。异质性分析表明，人工智能对环境监管强度高的纺织企业、具有数字化背景的高管和知识产权示范城市的积极影响更为显著。针对这些发现，我们提出了相关的政策建议，为加快纺织企业转型升级，促进经济平稳增长提供参考。

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引用次数: 0

Artificial intelligence-driven management: Bridging innovation, knowledge creation, and sustainable business practices 人工智能驱动的管理：连接创新、知识创造和可持续商业实践

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-01 Epub Date: 2025-11-03 DOI: 10.1016/j.jik.2025.100860

Khushboo Raina , Gagan Deep Sharma , Babak Taheri , Dhairya Dev , Shubham Chavriya

The rapid evolution of artificial intelligence (AI) from expert systems and fuzzy logic to sophisticated technologies such as deep learning and big data analytics has transformed modern management practices. This study explores how AI-driven management practices can effectively bridge innovation, knowledge creation, and sustainable business practices, thereby contributing to long-term organizational growth and the achievement of the Sustainable Development Goals (SDGs). By employing a comprehensive review research technique and analyzing 1,377 articles from the Scopus database, this study uncovers critical themes, sub-themes, variables, and their interlinkages. The findings demonstrate AI’s transformative potential across diverse domains, including human resource management, consumer service management, strategic leadership, operational efficiency, and customer experience enhancement. This paper addresses the role of AI governance frameworks that prioritize ethical considerations such as accountability, transparency, privacy, and cybersecurity, while fostering innovation-oriented knowledge creation. Despite significant advancements, knowledge gaps remain in integrating AI with innovative business models to achieve sustainability objectives. The study concludes by offering research and policy recommendations to promote AI-driven innovations that are ethically sound, operationally efficient, and socially responsible. This work contributes to the discourse on AI’s role in enhancing knowledge systems and innovation processes, providing valuable insights for scholars, practitioners, policymakers, and business leaders.

人工智能（AI）从专家系统和模糊逻辑到深度学习和大数据分析等复杂技术的快速发展改变了现代管理实践。本研究探讨了人工智能驱动的管理实践如何有效地连接创新、知识创造和可持续商业实践，从而促进组织的长期增长和可持续发展目标（sdg）的实现。通过采用综合综述研究技术并分析Scopus数据库中的1377篇文章，本研究揭示了关键主题、子主题、变量及其相互联系。研究结果表明，人工智能在各个领域具有变革潜力，包括人力资源管理、消费者服务管理、战略领导、运营效率和客户体验增强。本文讨论了人工智能治理框架的作用，该框架优先考虑问责制、透明度、隐私和网络安全等道德因素，同时促进以创新为导向的知识创造。尽管取得了重大进展，但在将人工智能与创新商业模式相结合以实现可持续发展目标方面，知识差距仍然存在。该研究最后提出了研究和政策建议，以促进在道德上健全、运营效率高、对社会负责的人工智能驱动的创新。这项工作有助于讨论人工智能在加强知识系统和创新过程中的作用，为学者、从业者、政策制定者和商业领袖提供有价值的见解。

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引用次数: 0

Knowledge-driven citizen engagement as a support tool for aquatic ecosystem protection and restoration 知识驱动的公民参与作为水生生态系统保护和恢复的支持工具

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-01 Epub Date: 2025-10-18 DOI: 10.1016/j.jik.2025.100851

Dragos Sebastian CRISTEA , Oana-Daniela LUPOAE , Ștefan Mihai PETREA , Ira-Adeline SIMIONOV , Dan MUNTEANU , Catalina ITICESCU

The degradation of aquatic ecosystems is one of the most pressing environmental challenges of the 21st century. Pollution, biodiversity loss, and ineffective governance all threaten the sustainability of these vital ecosystems. This study adopts a holistic approach to the study of aquatic ecosystem protection. This approach integrates citizen engagement, technological innovations, governance frameworks, and sustainable practices within the theoretical context of knowledge dynamics. The study extends Bratianu’s knowledge dynamics framework by introducing the concept of holistic evolutionary knowledge. The study thus examines the interplay between rational, emotional, and spiritual dimensions of knowledge in driving ecological stewardship. Data were collected from respondents from Romania and Greece. These two countries were chosen for their distinct ecological and socioeconomic contexts to provide a comparative perspective on citizen engagement and sustainable practices. A structured questionnaire was distributed to gather data from 374 participants. Analysis of these data was conducted using three methods. The XGBoost machine learning algorithm enabled predictive modeling. Kruskal–Wallis tests were used to assess statistically significant differences between countries. Finally, correlation analysis was performed to identify linear relationships between variables. The findings reveal citizen engagement and emotional knowledge as the strongest predictors of sustainable behavior, with multidimensional knowledge positively linked to ecological practices, thereby advancing SDG 6 and informing citizen science, policy, and environmental action.

水生生态系统的退化是21世纪最紧迫的环境挑战之一。污染、生物多样性丧失和治理不力都威胁着这些重要生态系统的可持续性。本研究采用整体方法对水生生态系统保护进行研究。这种方法在知识动态的理论背景下整合了公民参与、技术创新、治理框架和可持续实践。本研究通过引入整体进化知识的概念扩展了Bratianu的知识动力学框架。因此，该研究考察了理性、情感和精神层面的知识在推动生态管理方面的相互作用。数据收集自罗马尼亚和希腊的受访者。这两个国家因其独特的生态和社会经济背景而被选中，以提供公民参与和可持续实践的比较视角。一份结构化的问卷收集了374名参与者的数据。使用三种方法对这些数据进行分析。XGBoost机器学习算法支持预测建模。Kruskal-Wallis检验用于评估国家之间的统计显著差异。最后，进行相关分析，以确定变量之间的线性关系。研究结果表明，公民参与和情感知识是可持续行为的最强预测因素，多维知识与生态实践呈正相关，从而推进可持续发展目标6，并为公民科学、政策和环境行动提供信息。

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引用次数: 0

The dual impact of supply chain digitalization: Amplifying subjective risk perception, innovating and mitigating objective risk exposure 供应链数字化的双重影响：放大主观风险感知，创新和减轻客观风险暴露

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-01 Epub Date: 2025-10-22 DOI: 10.1016/j.jik.2025.100862

Huiru Wei, Kuiran Yuan, Jie Zhang

With the growing complexity and uncertainty of the global supply chain, firms face more severe supply chain risks. This study integrates subjective risk perception and objective risk exposure into a unified analytical framework to explore the impact of supply chain digitalization (SCD) on firms’ supply chain risks. The findings indicate that SCD significantly enhances firms’ subjective risk perception while effectively reducing their objective risk exposure. After conducting robustness checks, the results remain robust. Mechanism analysis suggests that SCD primarily enhances firms’ risk perception and reduces actual risks through information and technological channels. Moreover, this study performs a heterogeneity analysis considering industry monopoly level, internal control quality, and financing constraints, revealing significant differences in the risk mitigation effects of SCD across industries and firm characteristics. Our research provides practical insights for firms in managing supply chain risks during digitalization and offers theoretical guidance for policymakers in formulating relevant strategies.

随着全球供应链的复杂性和不确定性的增加，企业面临的供应链风险更加严峻。本研究将主观风险感知和客观风险暴露整合到一个统一的分析框架中，探讨供应链数字化对企业供应链风险的影响。研究结果表明，SCD显著增强了企业的主观风险感知，同时有效降低了企业的客观风险暴露。在进行稳健性检查后，结果仍然稳健性。机制分析表明，信息披露主要通过信息和技术渠道增强企业的风险感知，降低企业的实际风险。此外，本研究还对行业垄断水平、内部控制质量和融资约束进行了异质性分析，发现SCD的风险缓解效果在不同行业和企业特征之间存在显著差异。我们的研究为企业在数字化过程中管理供应链风险提供了实践见解，并为决策者制定相关战略提供了理论指导。

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引用次数: 0

Employer expectations of business analysts: Knowledge and insights from job offer analysis 雇主对业务分析师的期望：来自工作机会分析的知识和见解

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-01 Epub Date: 2025-10-26 DOI: 10.1016/j.jik.2025.100859

Agnieszka Kowalska-Styczeń, Kinga Juszczyk

This study analyzed 1480 job advertisements for business analysts using natural language processing (NLP) and sentiment analysis. While confirming the demand for technical, analytical and communication skills, the study reveals important patterns that expand upon existing knowledge. Specifically, we observe how skill expectations evolve across career stages: junior positions emphasize language proficiency and communication, whereas senior roles require stronger project management, leadership, and advanced analytical capabilities. Sentiment analysis reveals that employers predominantly use neutral or positive language in job postings, reflecting conscious strategies to attract candidates. Furthermore, the study shows that an increasing number of employers are offering flexible working arrangements, such as hybrid and remote work, as well as non-wage benefits, including private healthcare and career development opportunities. This indicates an increase in competition for talent in the labor market. These findings offer valuable insights for curriculum design and recruitment strategies.

本研究使用自然语言处理（NLP）和情感分析分析了1480份商业分析师招聘广告。在确认对技术、分析和沟通技能的需求的同时，该研究揭示了扩展现有知识的重要模式。具体来说，我们观察到技能期望是如何在不同的职业阶段发展的：初级职位强调语言能力和沟通能力，而高级职位需要更强的项目管理、领导能力和高级分析能力。情绪分析显示，雇主在招聘启事中主要使用中性或积极的语言，反映出有意识的吸引候选人的策略。此外，研究表明，越来越多的雇主提供灵活的工作安排，如混合工作和远程工作，以及非工资福利，包括私人医疗保健和职业发展机会。这表明劳动力市场对人才的竞争加剧。这些发现为课程设计和招聘策略提供了有价值的见解。

引用次数: 0

The role of financial innovation and Industry 4.0 in decarbonizing resource-intensive industries through threshold effects 金融创新与工业4.0通过门槛效应对资源密集型产业脱碳的作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-01 Epub Date: 2025-10-30 DOI: 10.1016/j.jik.2025.100872

Arshad Ahmad Khan , Sufyan Ullah Khan , Muhammad Abu Sufyan Ali , Ijlal Haider , Jianchao Luo

This study examines the role of science and technology finance (S&TF) and Industry 4.0 innovations in promoting sustainable transformation in China's copper mining industry, with a focus on reducing carbon emissions. Using panel data from 30 Chinese provinces spanning 2011 to 2020, we apply two-way fixed effects and threshold regression models to examine the nonlinear impacts of S&TF on carbon emissions from copper mining (CECM). Our findings demonstrate that a 1 % increase in S&TF is associated with an approximate 0.142 % reduction in CECM, with the effect becoming more pronounced beyond the identified national threshold value of 0.163. The effect is most pronounced in the economically advanced eastern regions but remains relevant across central and western provinces. Furthermore, the effectiveness of S&TF is moderated by regional Industry 4.0 development, which exhibits a U-shaped influence, while economic development strengthens and environmental regulation weakens the impact of decarbonization over time. These findings highlight the need to align financial innovation, regional technological capacity, and governance mechanisms to advance SDG and ESG objectives in resource-intensive industries. The study offers practical insights for developing resilient, innovation-driven financial and governance frameworks that can effectively reduce industrial carbon emissions.

本研究探讨了科技金融（S&；TF）和工业4.0创新在促进中国铜矿行业可持续转型中的作用，重点是减少碳排放。本文利用2011 - 2020年中国30个省份的面板数据，运用双向固定效应和阈值回归模型，考察了S&；TF对铜开采碳排放的非线性影响。我们的研究结果表明，S&；TF增加1%与CECM减少约0.142%相关，其影响在确定的国家阈值0.163之后变得更加明显。这种影响在经济发达的东部地区最为明显，但在中西部省份仍然存在。此外，区域工业4.0发展对碳减排的影响呈“u”型，随着时间的推移，经济发展对碳减排的影响增强，环境监管对碳减排的影响减弱。这些发现突出表明，有必要协调金融创新、区域技术能力和治理机制，以推进资源密集型行业的可持续发展目标和ESG目标。该研究为制定有弹性的、创新驱动的金融和治理框架提供了实际见解，这些框架可以有效减少工业碳排放。

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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 : 2026-01-01 Epub 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