IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-01-23 DOI: 10.1016/j.techsoc.2026.103242

Gazi Mahabubul Alam , Shiwei Wang , Karima Bashir , Miao Lei

In the discussion of social capital and social equality, gender is still one of the most important variables that may navigate once's opportunity to pursue higher education. Despite numerous studies having examined the influence of digital literacy, socioeconomic status (SES), social capital, and their subsequent impact on access to higher education (HE), investigating the inputs and output paths of graduates using gender as a theme is yet to be done. Viewing the input path as secondary education certification and admission into university as the output path, 623 secondary school graduates for Study-1 and 635 secondary school graduates for Study-2 were examined using the quantitative method. Primary data was collected through a questionnaire to assess one independent variable (social capital), while secondary data stored in the institutions serve to measure the independent (SES), mediator, moderator and dependent variables. Multiple regression, interaction terms and KHB (Karlson-Holm-Breen method) analysis were utilized to analyse the data. Results indicated that SES-driven social capital predicts the digital literacy, and digital literacy mediates the relationship between graduates' social capital and access to HE. Furthermore, gender does not moderate the correlations between digital literacy and access to higher education. This paper contributes to the discourse on technology in societies and inequalities in higher education. The study concludes that digital discrimination increases inequality in terms of people's access to higher education. However, gender does not pose any technological discrimination for graduates in China.

在社会资本和社会平等的讨论中，性别仍然是影响一个人是否有机会接受高等教育的最重要变量之一。尽管已有大量研究考察了数字素养、社会经济地位（SES）、社会资本的影响及其对获得高等教育的后续影响，但以性别为主题调查毕业生的投入和产出路径尚待完成。以中等教育认证为输入路径，以大学入学为输出路径，采用定量方法对研究1的623名中学毕业生和研究2的635名中学毕业生进行了调查。主要数据通过问卷收集来评估一个自变量（社会资本），而储存在机构中的次要数据用于测量自变量（SES）、中介变量、调节变量和因变量。采用多元回归、交互项及KHB （Karlson-Holm-Breen method）方法对数据进行分析。结果表明，ses驱动的社会资本预测数字素养，数字素养在毕业生社会资本与高等教育获取之间起中介作用。此外，性别并不能调节数字素养与接受高等教育之间的相关性。本文对社会中的技术和高等教育中的不平等现象的论述作出了贡献。该研究得出结论，数字歧视加剧了人们接受高等教育的不平等。然而，在中国，性别并没有对毕业生构成任何技术歧视。

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引用次数: 0

The dual dynamics of AI adoption: Drivers and ethical awareness in European enterprises 人工智能采用的双重动态：欧洲企业的驱动因素和道德意识

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-01-25 DOI: 10.1016/j.techsoc.2026.103243

Viviana Fernandez, Sebastián Uriarte

This study examines the interactions between artificial intelligence (AI) adoption and the articulation of ethical concerns across 34 European countries. We combine the technology-organization–environment (TOE) framework with institutional theory to analyze how firm-level factors (such as enterprise size) and country-level variables (including innovation capacity, human capital specialization, and financial sector development) influence both AI uptake and awareness of issues such as bias, privacy, and transparency. Using Eurostat DES data (2021, 2023, 2024) and complementary national indicators, we apply fixed-effects regression models. By considering adoption patterns and ethical awareness from a single analytical perspective, the study provides a more integrated understanding of how organizations engage with AI and interpret the associated risks, which remains underexplored in previous empirical work. The results reveal a complex landscape: overall AI adoption remains low although fewer companies report never considering its use. Significant national variations exist, but key barriers include high costs, data quality issues, and a lack of expertise. Intriguingly, awareness of these ethical and technical challenges is stronger in countries with greater AI penetration, suggesting that increased adoption enhances awareness of the associated risks. Enterprise size also dictates the type of AI used: larger firms employ more advanced technologies, whereas smaller businesses focus on foundational applications. Statistical analysis confirms that large enterprises in innovative countries, which are supported by specialized human capital and robust financial markets, are most likely to adopt AI. Importantly, the findings reveal that the same structural conditions that encourage adoption also shape how firms perceive ethical considerations, reinforcing the claim that responsibility and uptake evolve jointly rather than in isolation. Policymakers must cultivate innovation, specialized human capital, and strong finance to ensure rapid uptake and responsible, sustainable AI use.

本研究考察了34个欧洲国家人工智能（AI）采用与伦理问题表达之间的相互作用。我们将技术-组织-环境（TOE）框架与制度理论相结合，分析企业层面的因素（如企业规模）和国家层面的变量（包括创新能力、人力资本专业化和金融部门发展）如何影响人工智能的吸收和对偏见、隐私和透明度等问题的认识。利用欧盟统计局的DES数据（2021年、2023年、2024年）和互补的国家指标，我们应用固定效应回归模型。通过从单一的分析角度考虑采用模式和道德意识，该研究提供了对组织如何参与人工智能并解释相关风险的更综合的理解，这在以前的实证工作中仍未得到充分探索。调查结果揭示了一个复杂的情况：人工智能的整体采用率仍然很低，尽管很少有公司表示从未考虑使用人工智能。各国存在显著差异，但主要障碍包括高成本、数据质量问题和缺乏专业知识。有趣的是，在人工智能普及程度较高的国家，人们对这些道德和技术挑战的认识更强，这表明人工智能的普及程度提高了人们对相关风险的认识。企业规模也决定了使用人工智能的类型：大公司采用更先进的技术，而小企业则专注于基础应用。统计分析证实，创新型国家的大型企业最有可能采用人工智能，这些企业有专门的人力资本和强大的金融市场支持。重要的是，研究结果表明，鼓励采用的相同结构条件也塑造了公司如何看待道德考虑，从而加强了责任和采用是共同发展而不是孤立发展的说法。政策制定者必须培育创新、专业化人力资本和强大的资金，以确保人工智能的迅速普及和负责任、可持续的使用。

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引用次数: 0

Psychological resistance to AI: How regulatory focus fuels AI anxiety and negative attitudes toward AI 对人工智能的心理抵制：监管焦点如何加剧人工智能焦虑和对人工智能的负面态度

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-01-30 DOI: 10.1016/j.techsoc.2026.103251

Aakash Sapru

As artificial intelligence (AI) becomes increasingly embedded in the socio-economic and technological structure of society, it presents both significant opportunities and notable threats for entrepreneurs. Because business ideas emerge through ongoing interaction between entrepreneurs and their communities, it is crucial to understand the psychological mechanisms that shape not only entrepreneurs' AI-related attitudes but also those of key stakeholders such as customers and investors. While emerging research tends to adopt a generally optimistic stance, with attention to AI's risks largely confined to post-adoption concerns, our study shifts the lens upstream by investigating the antecedents of psychological resistance to AI adoption. Specifically, we explore the psychological mechanisms underlying AI anxiety and negative attitudes toward AI. Drawing on regulatory focus theory, status quo bias, and the emotion-as-information framework, we theorize that prevention focus is positively associated with negative attitudes toward AI, and that this relationship is partially mediated by four dimensions of AI anxiety: learning anxiety, job replacement anxiety, sociotechnical blindness, and configuration anxiety. We test our model using data from 259 undergraduate entrepreneurship students at a U.S. university and find empirical support for our hypotheses. We encourage entrepreneurship research to examine how cognitions, motivations, and affect shape resistance to AI, as this shift can clarify why some entrepreneurs fail to engage with transformative technologies. Our study contributes by foregrounding motivational and affective barriers to AI engagement, offering guidance for reframing AI to resonate with individuals with high prevention focus, and urging educators to consider students' underlying anxieties and aversions to AI.

随着人工智能（AI）越来越多地融入社会的社会经济和技术结构，它为企业家带来了巨大的机遇和显著的威胁。因为商业创意是通过企业家和他们的社区之间的持续互动产生的，所以了解心理机制是至关重要的，这种机制不仅塑造了企业家对人工智能的态度，也塑造了客户和投资者等关键利益相关者的态度。虽然新兴研究倾向于采取普遍乐观的立场，对人工智能风险的关注主要局限于采用后的担忧，但我们的研究通过调查对人工智能采用的心理阻力的先决条件，将镜头转向上游。具体来说，我们探讨了人工智能焦虑和对人工智能的消极态度的心理机制。利用监管焦点理论、现状偏见和情绪即信息框架，我们认为预防焦点与对人工智能的消极态度呈正相关，并且这种关系部分受到人工智能焦虑的四个维度的中介：学习焦虑、工作替代焦虑、社会技术盲目性和配置焦虑。我们使用美国一所大学259名本科创业专业学生的数据来检验我们的模型，并为我们的假设找到实证支持。我们鼓励创业研究，以研究认知、动机和影响如何形成对人工智能的抵制，因为这种转变可以解释为什么一些企业家未能参与变革技术。我们的研究突出了人工智能参与的动机和情感障碍，为重新构建人工智能提供了指导，以与高度关注预防的个人产生共鸣，并敦促教育工作者考虑学生对人工智能的潜在焦虑和厌恶。

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引用次数: 0

Unpacking the relationship between digitalization and formalization among micro-entrepreneurs in an emerging market 解读新兴市场中微型企业家的数字化与正规化关系

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-01-28 DOI: 10.1016/j.techsoc.2026.103250

Claudia Yáñez-Valdés , Sebastian Barros-Celume , Julián Andrés Diaz Tautiva

This study examines the interplay between digitalization and formalization among microentrepreneurs. While digital tools have traditionally been viewed as enablers of formalization, their effects may also contribute to the opposite effect. For instance, digitalization can sometimes reduce the perceived need for formalization by lowering regulatory barriers, thus allowing informal entrepreneurs to access critical resources and services without the need for formal registration. Drawing on an empirical examination of 861 microentrepreneurs from Chile, we aim to uncover how digitalization shapes microentrepreneurial dynamics and how contextual and individual elements, such as age, economic sector, entrepreneurial motivation, and regional traits, influence the adoption of digital platforms and the overall decision to formalize. With this project, we aim to contribute to entrepreneurship scholarship by challenging some commonly held assumptions about formalization and instead proposing a more nuanced understanding of how digital tools influence business ventures and the decision among microentrepreneurs to register their ventures (or not). Based on our findings, we discuss theoretical and practical implications concerning the complementary and synergistic benefits of digitalization and formalization, while also addressing potential unintended consequences and negative outcomes from digital platforms, such as increased informality.

本研究考察了微型企业家中数字化与正规化之间的相互作用。虽然数字工具传统上被视为形式化的推动者，但它们的影响也可能导致相反的效果。例如，数字化有时可以通过降低监管壁垒来减少对正规化的需求，从而使非正规企业家无需正式注册即可获得关键资源和服务。通过对智利861名微企业家的实证研究，我们旨在揭示数字化如何塑造微企业家动态，以及年龄、经济部门、创业动机和地区特征等背景和个人因素如何影响数字平台的采用和整体正规化决策。在这个项目中，我们的目标是通过挑战一些关于正规化的普遍假设，对数字工具如何影响商业投资以及微型企业家决定注册（或不注册）提出更细致的理解，从而为创业学术做出贡献。根据我们的研究结果，我们讨论了数字化和正规化的互补和协同效益的理论和实践意义，同时也解决了数字平台潜在的意想不到的后果和负面结果，如非正式性的增加。

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引用次数: 0

Can government digital incentives enhance enterprise artificial intelligence capability? - Evidence from China 政府的数字激励能否提升企业的人工智能能力？——来自中国的证据

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-02-05 DOI: 10.1016/j.techsoc.2026.103258

Jingmei Ma, Jie Wu, Zhiqing Li, Kaixin Deng

Government digital incentives contribute to improving the enterprise financial environment, enhancing enterprise receptivity to new technologies, and influencing enterprise artificial intelligence (AI) capability. This paper investigates whether and how government digital incentives enhance enterprise AI capability using empirical evidence from Chinese A-share listed enterprises during 2012-2023. By constructing comprehensive indicators to measure enterprise AI capability, we explore the impact of subsidy-based (SDI) and policy-based digital incentive (PDI) on enterprise AI capability and their underlying mechanisms. The findings reveal that: (1) Both SDI and PDI enhance enterprise AI capability, with results remaining robust after robustness tests. (2) SDI positively influence enterprise AI capability by alleviating financing constraints, while PDI exert positive effects through optimizing resource allocation efficiency. (3) Executive IT background positively moderates the relationship between both types of digital incentives and enterprise AI capability. (4) Heterogeneity analysis demonstrates that SDI have significantly stronger effects on enterprise AI capability in eastern regions compared to western and central regions, whereas PDI show more pronounced positive effects in central regions compared to eastern and western regions. Compared to non_SOEs, SDI have more significant positive effects on AI capability in SOEs, while PDI demonstrate stronger positive effects on AI capabilities in non_SOEs.

政府数字激励有助于改善企业财务环境，提高企业对新技术的接受度，影响企业人工智能（AI）能力。本文利用2012-2023年中国a股上市企业的经验证据，考察政府数字激励是否以及如何增强企业人工智能能力。通过构建衡量企业人工智能能力的综合指标，探讨基于补贴的数字激励（SDI）和基于政策的数字激励（PDI）对企业人工智能能力的影响及其机制。研究结果表明：(1)SDI和PDI均增强了企业的人工智能能力，且经鲁棒性检验结果仍保持鲁棒性。(2) SDI通过缓解融资约束正向影响企业AI能力，PDI通过优化资源配置效率正向影响企业AI能力。(3)高管IT背景正向调节两类数字激励与企业人工智能能力之间的关系。(4)异质性分析表明，SDI对东部地区企业人工智能能力的正向影响显著强于中西部地区，而PDI对中部地区企业人工智能能力的正向影响明显强于东部和西部地区。与非国有企业相比，SDI对国有企业人工智能能力的正向影响更为显著，而PDI对非国有企业人工智能能力的正向影响更强。

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引用次数: 0

How do governments frame responsible innovation: A topic modelling analysis of national policy portfolios 政府如何构建负责任的创新：国家政策组合的主题建模分析

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-02-02 DOI: 10.1016/j.techsoc.2026.103257

Qijun Zhou, Kai Xu, Nuran Acur

This paper examines how national innovation policies operationalise Responsible Innovation (RI) and identifies gaps across its core dimensions. Using BERTopic, the study analyses the semantic structure and temporal evolution of RI within China's national innovation policy portfolio from 2012 to 2024. A quantitative analysis of 116 policy documents identifies 14 core topics, revealing a multidimensional and evolving policy architecture.

The findings show substantial alignment between China's innovation policies and the classical RI dimensions of anticipation, inclusion, reflexivity, and responsiveness, while also highlighting distinctive patterns in their practical policy manifestation. Anticipation and inclusion are strongly embedded within the policy landscape, whereas reflexivity and responsiveness remain comparatively underdeveloped. Methodologically, the study demonstrates the value of data-driven topic modelling for large-scale policy analysis. Substantively, it provides insights into how responsible innovation principles are translated into policy practice and offers guidance for strengthening innovation governance systems.

本文考察了国家创新政策如何实施负责任创新（RI），并确定了其核心维度之间的差距。利用BERTopic分析了2012 - 2024年中国国家创新政策组合中RI的语义结构和时间演变。对116份政策文件的定量分析确定了14个核心主题，揭示了一个多维度和不断发展的政策架构。研究结果表明，中国的创新政策与预期、包容、反身性和响应性等经典国际创新指数维度之间存在实质性的一致性，同时也突出了它们在实际政策表现中的独特模式。预期和包容在政策格局中根深蒂固，而反身性和响应性仍然相对不发达。在方法上，该研究证明了数据驱动的主题建模对大规模政策分析的价值。从本质上讲，它为如何将负责任的创新原则转化为政策实践提供了见解，并为加强创新治理体系提供了指导。

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引用次数: 0

The Red Queen of cyberspace: The persistence of advanced persistent threats (APTs) explained through co-evolution 网络空间的红色皇后：通过共同进化解释了高级持续性威胁（apt）的持续存在

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-01-19 DOI: 10.1016/j.techsoc.2026.103238

Al Lewis

Cyber-based Advanced Persistent Threats (APTs) are regarded as cyberspace's most capable threat actor groups. Renowned for overcoming obstacles, they are responsible for the most successful cyberattacks. Despite the billions of dollars spent annually defending against them, APTs' success is assured. Rooted in Cyber Realism, this study applies the Red Queen Hypothesis and the General Barrier Theory to APTs within cyberspace. This investigation leverages open-source data from 2012 to 2024, applying examples to the co-evolutionary process, pitting APTs against their intended targets, and constructing a new model, the APT Persistence Model. It explains APTs' persistence from an evolutionary lens, traversing the three planes of cyberspace to achieve state-level goals through cumulative effects. Cyberspace is a highly malleable and chaotic domain that APTs can manipulate. Persistence in the form of iterative processes and aggression is applied against the social, physical, and virtual restraints and barriers, placing defenders in the untenable position of defending everything all the time. With APT's success assured, the increasing threat to existing power differentials in cyberspace requires a new, multi-disciplinary approach. Otherwise, APTs will continue to win the co-evolutionary battle while defenders continue the futile search for a technological answer.

基于网络的高级持续威胁（apt）被认为是网络空间最有能力的威胁行为者群体。他们以克服障碍而闻名，是最成功的网络攻击的罪魁祸首。尽管每年花费数十亿美元用于防御，但apt的成功是有保证的。基于网络现实主义，本研究将红皇后假说和一般障碍理论应用于网络空间中的apt。本研究利用了2012年至2024年的开源数据，将示例应用于共同进化过程，将APT与其预期目标进行比较，并构建了一个新的模型，即APT持久性模型。它从进化的角度解释了apt的持久性，穿越网络空间的三个平面，通过累积效应实现国家级目标。网络空间是一个高度可塑和混乱的领域，apt可以操纵。以迭代过程和攻击形式存在的持久性被用于对抗社会、物理和虚拟的限制和障碍，将防御者置于始终捍卫一切的站不住脚的位置。在APT取得成功的前提下，网络空间现有力量差异面临的威胁日益增加，需要一种新的、多学科的方法。否则，apt将继续赢得这场共同进化的战斗，而捍卫者则继续徒劳地寻找技术上的答案。

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引用次数: 0

Prudent promises: The impact of online public opinion attention on managerial commitment to integrity in China 审慎承诺：中国网络舆论关注对管理者诚信承诺的影响

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-02-01 DOI: 10.1016/j.techsoc.2026.103255

Jian Hu , Dan Wang , Hongjun Zeng , Shenglin Ma

Online public opinion has emerged as an increasingly influential driver of capital market oversight in the digital economy. It not only influences the boundaries of managerial behavior but also constrains the credibility of corporate commitments, highlighting the importance of exploring its mechanisms from both theoretical and applied angles. Employing a 2008–2023 sample of Chinese A-share firms, online opinion is proxied by an index constructed through text extraction and analysis of stock-forum content. It empirically investigates how online public opinion affects managerial integrity commitments and systematically explores the mechanisms through which these effects unfold. The findings demonstrate that online public opinion exerts a significant constraining effect on managerial integrity commitments. The empirical analysis reveals that online opinion significantly restricts integrity commitments, and this finding remains robust after addressing potential endogeneity and performing a wide range of robustness checks. Mechanism tests show that online public opinion weakens integrity commitments by intensifying earnings management incentives, fostering managerial short-termism, and amplifying market pressures. Heterogeneity tests show that the inhibitory impact is more pronounced in firms located in regions with lower social trust, in companies subject to stronger negative media exposure, and where executives face greater career-related risks. Additional evidence reveals that a well-functioning information environment can mitigate the adverse role of online opinion by reducing distortions in managerial commitments. Overall, this research contributes new empirical evidence on the formation of corporate integrity within the digital public sphere and provides policy insights for strengthening opinion governance, enhancing external monitoring, and improving transparency in corporate governance in emerging markets.

网络舆论已成为数字经济中资本市场监管日益重要的推动力。它不仅影响管理行为的边界，而且制约企业承诺的可信度，从理论和应用两个角度探讨其机制的重要性。以2008-2023年中国a股公司为样本，通过文本提取和股票论坛内容分析构建的指数来代理网络意见。实证研究了网络舆论如何影响管理诚信承诺，并系统地探讨了这些影响展开的机制。研究结果表明，网络舆论对管理者诚信承诺具有显著的约束作用。实证分析表明，在线意见显著限制诚信承诺，并且在解决潜在的内同性并进行广泛的稳健性检查后，这一发现仍然是稳健的。机制检验表明，网络舆论通过强化盈余管理激励、助长管理层短期主义、放大市场压力等方式削弱诚信承诺。异质性检验表明，在社会信任度较低的地区，在负面媒体曝光较强的公司，以及高管面临更大的职业相关风险的公司，抑制影响更为明显。其他证据表明，一个功能良好的信息环境可以通过减少管理承诺的扭曲来减轻在线意见的不利作用。总体而言，本研究为数字公共领域内企业诚信的形成提供了新的经验证据，并为新兴市场加强意见治理、加强外部监测和提高公司治理透明度提供了政策见解。

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引用次数: 0

Have industrial robots reduced carbon emissions? Empirical evidence from China 工业机器人减少了碳排放吗？来自中国的经验证据

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-01-23 DOI: 10.1016/j.techsoc.2026.103244

Mengyu Wang, Bingnan Guo

Intelligent manufacturing is a key focus in the construction of a strong manufacturing nation, and its level of development directly impacts the quality of China's manufacturing industry. This paper analyzes the impact of industrial robots on carbon emissions from both theoretical and empirical perspectives. An empirical study based on panel data from Chinese cities reveals that industrial robots can effectively reduce manufacturing carbon emissions in urban areas and promote a shift towards a low-carbon economy. The conclusion remains valid even after a series of robustness and endogeneity tests. Further examination of the mechanisms indicates that green technology innovation and the degree of human-robot matching are significant factors in industrial robots' ability to mitigate manufacturing carbon emissions. By incorporating robot factors into the log-mean divisia index decomposition mode(LMDI), our findings show that the technological effect of emission reduction from robots surpasses the scale effect of increased emissions. This finding supports the green and intelligent development of the manufacturing sector and helps forge new competitive advantages in achieving carbon peak and carbon neutrality goals.

智能制造是中国制造业强国建设的重点，其发展水平直接影响到中国制造业的质量。本文从理论和实证两方面分析了工业机器人对碳排放的影响。一项基于中国城市面板数据的实证研究表明，工业机器人可以有效减少城市地区制造业的碳排放，促进向低碳经济的转变。即使经过一系列稳健性和内生性检验，结论仍然有效。对机制的进一步研究表明，绿色技术创新和人机匹配程度是工业机器人减少制造业碳排放能力的重要因素。通过将机器人因素纳入对数均值可分指数分解模型（LMDI），我们的研究结果表明，机器人减排的技术效应超过了排放增加的规模效应。这一发现支持制造业的绿色和智能发展，有助于在实现碳峰值和碳中和目标方面形成新的竞争优势。

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引用次数: 0

The moderating effect of absorptive capacity on the relationship between knowledge transfer and innovative capacity 吸收能力对知识转移与创新能力关系的调节作用

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-09-01 Epub Date: 2026-01-27 DOI: 10.1016/j.techsoc.2026.103248

Natália Figueiredo , Cristina I. Fernandes , José Luis Abrantes

Purpose

Global market pressure drives companies to innovate, leading them to partner with universities for knowledge transfer. This study investigates the effects of knowledge transfer (KT) on companies' innovative activities and the moderating effect of absorptive capacity (AC) on the relationship between KT and innovative capacity. The analysis was done to distinguish the knowledge acquired nationally and internationally.

Design/methodology/approach

The methods employed are logistic regression, using a sample of 100058 observations from 14 countries in the Eurostat Community Innovation Survey dataset.

Findings

Both national and international knowledge transfer (KT) have a positive influence on product and process innovation. AC is an essential source of competitive advantage, although it negatively moderates the relationship between national KT and innovation (of products and processes). On the other hand, research also shows that AC does not significantly affect the relationship between international KT and innovations, whether in products or processes.

Originality/value

This study contributes to the knowledge-based view by clarifying the nuanced roles of KT and AC in innovation. It offers comparative insights into national and international KT and highlights the conditional role of AC, providing implications for companies, universities, and policymakers.

全球市场压力促使企业创新，促使它们与大学合作进行知识转移。本研究探讨了知识转移对企业创新活动的影响，以及吸收能力对知识转移与创新能力之间关系的调节作用。进行分析是为了区分在国内和国际上获得的知识。设计/方法/方法采用逻辑回归，使用来自欧盟统计局社区创新调查数据集中14个国家的100058个观察样本。研究发现：国内知识转移与国际知识转移对产品与工艺创新均有正向影响。AC是竞争优势的重要来源，尽管它负向调节国家KT与创新（产品和工艺）之间的关系。另一方面，研究还表明，无论是在产品还是在工艺方面，AC对国际KT与创新之间的关系没有显著影响。原创性/价值本研究通过厘清知识意识和交流意识在创新中的微妙作用，有助于支持知识基础观点。它提供了对国内和国际KT的比较见解，并强调了AC的条件作用，为公司、大学和政策制定者提供了启示。

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引用次数: 0

法学最新文献

Purpose

Design/methodology/approach

Findings

Originality/value