Technology in Society最新文献_第4页

Australian public opinions of responsible innovation: Understanding its champions, supporters, moderates, and sceptics 澳大利亚公众对负责任创新的看法：理解其拥护者、支持者、温和派和怀疑论者

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-23 DOI: 10.1016/j.techsoc.2025.103207

Sarah V. Bentley, Emma Schleiger, Rod McCrea, Rebecca Coates, Elizabeth Hobman

Scientific and technological innovation has become a contested area of societal progress, often compounded by rising levels of societal mistrust and populist thinking. Responding to this, scholars and practitioners are deeply contemplating public ethics, accountability, and risk. At the heart of this motivation lies the domain of Responsible Innovation, where academics alongside applied stakeholders are endeavouring to align the values of innovation with those of society. To further our understanding of value alignment across the diversity of public opinion, this research maps opinions of science and technology through the lens of responsible practice using segmentation analysis on a large Australian sample (N = 2127). We find opinion divided into four typologies: Champions (22 %); Supporters (40 %); Moderates (30 %); and Sceptics (8 %). To investigate the impact of mistrust on these typologies, we assessed their relationship to both mistrust of society and of science, as measured by conspiratorial thinking and anti-science populism. Data showed levels of mistrust to be moderate across all typologies, but societal mistrust to be significantly higher for Sceptics. This research provides a benchmark for public opinions of responsible scientific and technological innovation against which other studies can compare. Moreover, results suggest that societal mistrust may be influencing perceptions of science across all typologies, but particularly for those normally perceived as disinterested or disengaged. These results call for a more concerted application of informed Responsible Innovation principles with which to deliver Responsible Innovation practice.

科技创新已经成为社会进步的一个有争议的领域，往往伴随着社会不信任和民粹主义思想的加剧。对此，学者和从业者正在深入思考公共道德、问责制和风险。这一动机的核心是负责任的创新领域，在这一领域，学者和应用利益相关者正在努力使创新的价值观与社会的价值观保持一致。为了进一步了解公众意见多样性的价值一致性，本研究通过对澳大利亚大型样本（N = 2127）进行分割分析，通过负责任的实践来绘制科学和技术意见。我们发现意见分为四种类型：冠军（22%）；支持者（40%）；温和派（30%）；怀疑论者（8%）。为了研究不信任对这些类型学的影响，我们通过阴谋论思维和反科学民粹主义来评估它们与社会和科学不信任的关系。数据显示，在所有类型中，不信任程度都是中等的，但怀疑论者的社会不信任程度要高得多。本研究为公众对负责任的科技创新的看法提供了一个基准，可供其他研究进行比较。此外，研究结果表明，社会不信任可能会影响所有类型的科学观念，尤其是那些通常被认为不感兴趣或不参与的人。这些结果要求更协调地应用知情的负责任的创新原则，以提供负责任的创新实践。

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引用次数: 0

Revolutionizing European digital exports: The intersection of global supply chains, green FinTech, and sustainable infrastructure 革新欧洲数字出口：全球供应链、绿色金融科技和可持续基础设施的交集

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-23 DOI: 10.1016/j.techsoc.2025.103209

Qaisar Ullah , Yuzhuo Qiu , Shayan khan kakar , Mansoor Sami

Reconciling economic growth with sustainability challenges is a pressing priority for the Eurozone’s digital revolution. This study addresses a key gap by examining how green FinTech, global supply chains, and sustainable infrastructure interact to foster digital trade in the OECD and Europe. This study constructs a 24-year panel dataset of 39 economies from 2000 to 2023 to achieve the study’s main objective. To efficiently explore this research objective, the study employs novel and robust approaches, firstly, to construct three indices: the global supply chain, sustainable infrastructure, and Green FinTech index via Machine-Learning Time Heterogeneous factor analysis. Secondly, the study employs a dynamic, robust Panel Quantile Autoregressive Distributed Lag model with a moderation-effect specification (P-QARDL-ME). The theoretical foundation draws on global value chain and sustainability theories to link the variables to the study’s overarching goals. The findings reveal that integration of global supply chains and green FinTech solutions significantly enhances digital trade. Whereas Sustainable infrastructure plays a pivotal role in digital trade, it significantly decouples economic growth from environmental pollution, thereby promoting sustainability across the Eurozone. Integrating these results with global value chain and sustainability theories offers meaningful policy insights for the European Union, the World Trade Organization, regulators, businesses, and policymakers. Overall, the study advocates for stakeholder engagement and cross-border digital trade to support sustainable economic growth.

协调经济增长与可持续性挑战是欧元区数字革命的当务之急。本研究通过研究绿色金融科技、全球供应链和可持续基础设施如何相互作用以促进经合组织和欧洲的数字贸易，解决了一个关键差距。本研究构建了39个经济体从2000年到2023年的24年面板数据集，以实现研究的主要目标。为了有效地探索这一研究目标，本研究采用了新颖而稳健的方法，首先，通过机器学习时间异质性因素分析构建了全球供应链、可持续基础设施和绿色金融科技指数三个指标。其次，本研究采用动态、稳健的面板分位数自回归分布滞后模型，具有调节效应规范（P-QARDL-ME）。理论基础借鉴了全球价值链和可持续性理论，将变量与研究的总体目标联系起来。研究结果表明，全球供应链和绿色金融科技解决方案的整合显著促进了数字贸易。鉴于可持续基础设施在数字贸易中发挥着关键作用，它显著地将经济增长与环境污染脱钩，从而促进整个欧元区的可持续性。将这些结果与全球价值链和可持续性理论相结合，为欧盟、世界贸易组织、监管机构、企业和政策制定者提供了有意义的政策见解。总体而言，该研究倡导利益相关者参与和跨境数字贸易，以支持可持续经济增长。

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引用次数: 0

Causal forest estimation of heterogeneous effects of digital technologies on the national entrepreneurial process in emerging and developing countries 新兴和发展中国家数字技术对国家创业过程异质效应的因果森林估计

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-23 DOI: 10.1016/j.techsoc.2025.103208

Najeh Aissaoui , Zahida Ayari , Abir Smiti

Digital technologies are creating unprecedented entrepreneurial opportunities to overcome the main challenges facing emerging and developing economies. This paper analyzes data from 35 emerging and developing countries spanning 2001 to 2023 to examine the multifaceted effects of digital technologies on key aspects of entrepreneurship, including motivation, entrepreneurial intention, business creation, innovation, and viability. Using the causal forest method, our empirical findings show that while digital technologies significantly boost motivation, entrepreneurial intention, the conversion of this intention into actual business creation, innovation, and viability strongly depends on the institutional context-particularly government support, access to finance, and social norms. Our study also reveals heterogeneity based on income levels, with stronger effects observed in less mature markets. These results emphasize the need to complement digital investments with tailored policies to fully unlock entrepreneurial potential.

数字技术正在创造前所未有的创业机会，以克服新兴和发展中经济体面临的主要挑战。本文分析了35个新兴国家和发展中国家2001年至2023年的数据，考察了数字技术对创业关键方面的多方面影响，包括创业动机、创业意图、商业创造、创新和生存能力。利用因果森林方法，我们的实证研究结果表明，虽然数字技术显著提高了创业动机和创业意向，但这种意向转化为实际的商业创造、创新和生存能力在很大程度上取决于制度背景，特别是政府支持、融资渠道和社会规范。我们的研究还揭示了基于收入水平的异质性，在不太成熟的市场中观察到更强的影响。这些结果强调，需要通过量身定制的政策来补充数字投资，以充分释放创业潜力。

引用次数: 0

The role of life satisfaction in cybersecurity awareness: A broaden-and-build perspective 生活满意度在网络安全意识中的作用：一个拓展和构建的视角

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-19 DOI: 10.1016/j.techsoc.2025.103206

Yuxiang Hong , Majid Mohammad Shafiee , Merrill Warkentin

Cybersecurity awareness refers to basic literacy in the digital age. This study discusses the influencing mechanism of an individual's life satisfaction on cybersecurity awareness, considering the mediating effects of internet dependence and burnout based on the broaden-and-build theory (BBT) of positive emotions as well as compensatory internet use (CIU) theory. We constructed a theoretical framework and tested hypotheses using regression analysis of a sample of 951 subjects based on a longitudinal survey. The empirical results showed that life satisfaction - as a stable cognitive indicator of subjective well-being - was associated with higher cybersecurity awareness, both directly and indirectly through pathways informed by the BBT and CIU theory. This study provides managers with actionable insights for promoting cybersecurity awareness by fostering psychological resources (e.g., life satisfaction) that buffer against security fatigue and burnout.

网络安全意识是指数字时代的基本素养。本研究基于积极情绪的拓展与构建理论（BBT）和代偿性网络使用理论（CIU），考虑网络依赖和倦怠的中介作用，探讨个体生活满意度对网络安全意识的影响机制。我们在纵向调查的基础上构建了理论框架，并利用回归分析对951名受试者进行了假设检验。实证结果表明，生活满意度作为主观幸福感的稳定认知指标，通过BBT和CIU理论提供的途径，直接或间接地与较高的网络安全意识相关。本研究为管理者提供了可操作的见解，通过培养心理资源（如生活满意度）来缓冲安全疲劳和倦怠，以提高网络安全意识。

引用次数: 0

Industrial upgrading policies and export resilience: An empirical assessment of technology investment in Taiwan's manufacturing sector 产业升级政策与出口弹性：台湾制造业技术投资的实证评估

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-19 DOI: 10.1016/j.techsoc.2025.103204

Chiu-Chia Chen , Chien-Yi Huang

Amid global digital transformation and the restructuring of manufacturing supply chains, enhancing export resilience has become a central focus of industrial policy. Although many countries have promoted technology upgrading and capital incentives, empirical evaluations of their industry-level structural effects remain limited. This study examines Taiwan's manufacturing sector from 2016 to 2023, employing a fixed-effects panel model to assess the impact of technology investment penetration (a proxy for policy-driven investment) on export structure performance. The results show that technology investment significantly enhances export orientation and maintains positive effects during external shocks. However, early transformation stages exhibit increased volatility and lagged effects, reflecting a dynamic pattern where short-term instability coexists with long-term upgrading. The effects of policy incentives are moderated by industrial scale; outcomes in sectors with a higher proportion of large enterprises tend to be more pronounced but exhibit greater short-term fluctuations. By proposing an integrated structural-dynamic framework, this study shows that technology-oriented investment not only drives upgrading and technology absorption but also reinforces export stability and industrial resilience. These findings offer timely policy insights for export-oriented economies undergoing similar transitions.

在全球数字化转型和制造业供应链重组的背景下，增强出口韧性已成为产业政策的核心重点。虽然许多国家都促进了技术升级和资本激励，但对其产业层次结构效应的实证评价仍然有限。本研究以2016年至2023年台湾制造业为研究对象，采用固定效应面板模型评估技术投资渗透（政策驱动投资的代理）对出口结构绩效的影响。结果表明，技术投资显著增强了出口导向，并在外部冲击中保持正向效应。然而，早期转型阶段表现出更大的波动性和滞后效应，反映了短期不稳定与长期升级并存的动态模式。政策激励的效果受产业规模的调节；在大企业比例较高的部门，结果往往更为明显，但短期波动较大。通过构建一体化的结构-动力框架，本研究表明，技术导向型投资不仅能促进升级和技术吸收，还能增强出口稳定性和产业弹性。这些发现为正在经历类似转型的出口导向型经济体提供了及时的政策见解。

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引用次数: 0

Intelligence behind individualization: A survey on role of AI in mass customized and personalized production 个性化背后的智能：人工智能在大规模定制和个性化生产中的作用调查

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-17 DOI: 10.1016/j.techsoc.2025.103195

Garima Nain , Umashankar Samal

Artificial intelligence (AI) is among the key technologies reshaping modern industries by establishing mass customization and personalization. It has improved the consumer experience by allowing the individualization of products and services on a large scale. Over the past decade, there has been a tremendous focus on research in this domain in both academia and industry. Therefore, this work provides a comprehensive literature analysis of 164 peer-reviewed articles, determined through the SPAR-4-SLR methodology, ensuring transparency and reproducibility. The publication trends, influential contributors, and major research themes are identified through R and VOSviewer tools. The keyword co-occurrence (cluster) analysis depicts the key themes such as intelligent product design and customization, smart manufacturing and cyber–physical integration, AI-enhanced learning and commercial personalization, and additive manufacturing and AI-driven fabrication. The overlay visualization of and systematic content-based taxonomy provides an in-depth examination of literature from various perspectives. The theoretical and managerial implications suggested are data-driven and intelligence-embedded product configuration, Adaptive manufacturing, Cognitive personalization, Human-AI collaboration, Individualized value creation, Agile supply chains, And long-term customer loyalty. Future research in AI-enabled mass customization and personalization emphasizes achieving the industry 5.0 era of individualization. Thus, Edge-AI, Human-centric design, Adaptability, Explainability, Sustainability, Societal, And ethical attributes must be prioritized.

人工智能（AI）是通过建立大规模定制和个性化来重塑现代产业的关键技术之一。它通过允许产品和服务的大规模个性化，改善了消费者的体验。在过去的十年中，学术界和工业界都对这一领域的研究给予了极大的关注。因此，本工作通过SPAR-4-SLR方法对164篇同行评议文章进行了全面的文献分析，确保了透明度和可重复性。通过R和VOSviewer工具确定出版趋势，有影响力的贡献者和主要研究主题。关键词共现（聚类）分析描述了智能产品设计和定制、智能制造和网络物理集成、人工智能增强学习和商业个性化、增材制造和人工智能驱动制造等关键主题。覆盖可视化和系统的基于内容的分类法提供了从不同角度对文献的深入检查。其理论和管理意义包括数据驱动和智能嵌入式产品配置、自适应制造、认知个性化、人机协作、个性化价值创造、敏捷供应链和长期客户忠诚度。未来人工智能大规模定制和个性化的研究重点是实现个性化的工业5.0时代。因此，边缘人工智能、以人为本的设计、适应性、可解释性、可持续性、社会和道德属性必须优先考虑。

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引用次数: 0

AI-metaverse at work: Trading value for risk in organizational knowledge systems 工作中的人工智能元世界：组织知识系统中的风险交易价值

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-17 DOI: 10.1016/j.techsoc.2025.103202

Yuheng Ren , Safiya Mukhtar Alshibani , Varun Chotia , Bhumika Gupta , Amedeo Maizza

Artificial Intelligence (AI) and metaverse technologies are transforming organisational knowledge ecosystems by facilitating immersive, intelligent, and interactive digital work environments. Utilising the theory of consumption value and perceived risk theory, this research formulates and experimentally evaluates two structural models to investigate the impact of AI–metaverse features on knowledge engagement as well as on knowledge application performance. SmartPLS4 was used to look at survey data from 279 professionals who worked in IT, manufacturing, finance, healthcare, education, and retail. The findings indicate that AI–metaverse learning value, cognitive immersion, and enjoyment substantially improve knowledge engagement and subsequent application performance. Conversely, techno-overload surprisingly has a positive effect, implying adaptive behaviour in digitally saturated contexts. On the other hand, information overload, data-surveillance fear, and perceived security vulnerability act as positional non-inhibitors of knowledge engagement. These results enhance theory of consumption value and perceived risk theory by illustrating that cognitive–affective appraisal mechanisms collaboratively influence user engagement in organisational metaverse systems. The paper makes a unique contribution by being one of the first to show how value-driven and risk-based AI-metaverse traits work together to affect organisational knowledge outcomes. This helps us understand both the theory and practice of responsible metaverse-enabled work design.

人工智能（AI）和虚拟世界技术通过促进沉浸式、智能和交互式数字工作环境，正在改变组织的知识生态系统。本研究利用消费价值理论和感知风险理论，构建并实验评估了两个结构模型，以探讨人工智能元环境特征对知识投入和知识应用绩效的影响。SmartPLS4用于查看279名在IT、制造业、金融、医疗保健、教育和零售业工作的专业人士的调查数据。研究结果表明，人工智能的元学习价值、认知沉浸和享受显著提高了知识参与和随后的应用性能。相反，令人惊讶的是，科技超载有积极的影响，意味着在数字饱和的环境中适应性行为。另一方面，信息超载、数据监视恐惧和感知到的安全漏洞是知识参与的位置非抑制剂。这些结果通过说明认知-情感评估机制协同影响组织元生态系统中的用户参与，增强了消费价值理论和感知风险理论。这篇论文做出了独特的贡献，它是第一批展示价值驱动和基于风险的人工智能元特征如何共同影响组织知识成果的论文之一。这有助于我们理解负责任的元环境工作设计的理论和实践。

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引用次数: 0

Achieving sustainable development with the application of artificial intelligence: Effects on global green energy security amid geopolitical risk 应用人工智能实现可持续发展：地缘政治风险下对全球绿色能源安全的影响

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-13 DOI: 10.1016/j.techsoc.2025.103201

Muhammad Zubair Chishti , Asif Ali , Muhammad Qasim Javaid , Oktay Özkan

Sustainable Development Goal 7 (SDG-7) aims to ensure 'affordable, reliable, sustainable, and modern energy for all' by 2030, a vision closely aligned with green energy security (GES). GES is a key driver of global sustainable development, fostering environmentally responsible economic growth and societal well-being. Global economies face growing vulnerabilities from climate change, geopolitical instability, and rising energy prices, so their independence is increasingly at risk. In this context, the role of artificial intelligence (AI) as an advanced technology becomes crucial in enhancing GES globally. Hence, our study analyzes the effects of AI on GES amid geopolitical risk (GPR), utilizing the daily data from 6 to 01–2018 to 30-08-2024. The application of two novel Quantile-Quantile TVP-VAR connectedness and the rolling windows wavelet quantile regression methods reveals that AI, in particular, consistently has positive effects on GES across the short, medium, and long run. In contrast, GPR exhibits mixed but predominantly adverse effects in all periods except for the long run, in which it has a mixed influence. The effects of the Paris Agreement (PA), digital financial inclusion (DFI), and green finance (GF) have mixed but predominantly positive effects, specifically in the long run. The results indicate that the relationships between AI, GPR, PA, GF, DFI, and GES are diverse and time-varying, depending on different market conditions. Hence, our study offers several time-horizon-wise policy implications for global authorities to target SDG-7 worldwide.

可持续发展目标7 （SDG-7）旨在确保到2030年“人人享有负担得起、可靠、可持续和现代的能源”，这一愿景与绿色能源安全（GES）密切相关。GES是全球可持续发展的关键驱动力，促进对环境负责的经济增长和社会福祉。由于气候变化、地缘政治不稳定和能源价格上涨，全球经济面临越来越大的脆弱性，因此它们的独立性日益受到威胁。在这种情况下，人工智能（AI）作为一种先进技术，在全球范围内提高GES的作用变得至关重要。因此，本研究利用2018年1月6日至2024年8月30日的日常数据，分析了人工智能对地缘政治风险（GPR）下GES的影响。两种新的分位数-分位数tpv - var连通性和滚动窗口小波分位数回归方法的应用表明，人工智能对短期、中期和长期的GES都有持续的积极影响。相比之下，探地雷达在除长期影响外的所有时期都表现出混合但主要是不利的影响。《巴黎协定》（PA）、数字普惠金融（DFI）和绿色金融（GF）的影响喜忧参半，但主要是积极的，特别是从长远来看。结果表明，AI、GPR、PA、GF、DFI和GES之间的关系具有多样性和时变性，取决于不同的市场条件。因此，我们的研究为全球当局在全球范围内实现可持续发展目标7提供了若干具有时间跨度的政策启示。

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引用次数: 0

Who is lifting the green veil? Climate physical risks and supply chain spillovers of corporate carbon greenwashing 是谁揭开了绿色的面纱？气候物理风险和企业碳漂绿的供应链溢出效应

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-13 DOI: 10.1016/j.techsoc.2025.103203

Yun Zhong , Han Yan , Ziqian Xia

Against the backdrop of intensifying global climate change, corporate greenwashing behavior is attracting widespread attention from regulators and academia. This paper investigates whether the climate physical risk faced by a customer is transmitted through the supply chain, influencing the supplier's selective disclosure of carbon information. Using a sample of Chinese A-share listed companies from 2008 to 2023, we find a significant result: Suppliers exhibit a markedly reduced level of carbon greenwashing when their principal customers are exposed to more severe climate physical risks. Mechanism analysis suggests that this inhibitory effect primarily operates through increased scrutiny on carbon reduction verification and a decline in the supplier management's future expectations. Furthermore, this effect is stronger under specific conditions: when customer concentration is higher, the customer's digital technology level is more advanced, and the supplier's financial flexibility is poorer. Collectively, these findings not only provide new evidence on the cross-firm transmission mechanism of climate risk but also offer important micro-level implications for achieving global climate governance goals.

在全球气候变化加剧的背景下，企业的“漂绿”行为正引起监管机构和学术界的广泛关注。本文考察了客户所面临的气候物理风险是否通过供应链传递，从而影响供应商对碳信息的选择性披露。利用2008 - 2023年中国a股上市公司的样本，我们发现了显著的结果：当供应商的主要客户面临更严重的气候物理风险时，供应商的碳漂绿水平显著降低。机制分析表明，这种抑制作用主要通过加强对碳减排核查的审查和供应商管理层未来期望的下降来实现。此外，在特定条件下，这种效应更强：当客户集中度越高时，客户的数字技术水平越先进，供应商的财务灵活性越差。总的来说，这些发现不仅为气候风险的跨企业传导机制提供了新的证据，而且为实现全球气候治理目标提供了重要的微观启示。

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引用次数: 0

Charting the ChatGPT landscape: Insights from academic discourse on Twitter 绘制ChatGPT景观：来自Twitter学术论述的见解

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2025-12-13 DOI: 10.1016/j.techsoc.2025.103199

Raphael Gonda , Jaehun Park

In the wake of the emergence of ChatGPT as a transformative tool, effective policies and regulations for its integration into research and education are vital. This paper addresses challenges in the rapidly evolving AI landscape by identifying key events and discussions. To that end, the current study extracted insights from the academic community that had come during the early stages of ChatGPT's adoption. A dataset of 84,706 sentences sourced from Twitter (X.com) users in the research and academic community and collected over the course of eight months between November 2022 and June 2023 were examined using topic modeling and aspect-based sentiment analysis to explore prevailing reactions and perceptions. Nine key themes such as academic writing, coding, and time-saving tasks were identified. Strong sentiments emerged around policy debates, the issue of data security, and evolving research practices. Further, a causal analysis was performed to identify discussions and events that had triggered shifts in public sentiment. Examples include temporary restrictions on generative AI, new institutional policies, and legislative efforts to ensure responsible AI integration. This paper provides a timeline-linked perspective on how the academic community, thus far, has responded to generative AI. The findings can inform pragmatic, context-sensitive policies that foster innovation while safeguarding academic values.

随着ChatGPT作为一种变革性工具的出现，将其整合到研究和教育中的有效政策和法规至关重要。本文通过确定关键事件和讨论来解决快速发展的人工智能领域的挑战。为此，当前的研究从ChatGPT采用的早期阶段的学术界中提取了一些见解。在2022年11月至2023年6月的8个月期间，研究人员使用主题建模和基于方面的情感分析对来自研究和学术界Twitter （X.com）用户的84,706个句子的数据集进行了检查，以探索普遍的反应和看法。他们确定了9个关键主题，如学术写作、编码和节省时间的任务。围绕政策辩论、数据安全问题和不断发展的研究实践，出现了强烈的情绪。此外，还进行了因果分析，以确定引发公众情绪转变的讨论和事件。例子包括对生成人工智能的临时限制、新的制度政策以及确保负责任的人工智能整合的立法努力。这篇论文提供了一个与时间轴相关的观点，说明到目前为止，学术界是如何回应生成式人工智能的。研究结果可以为务实的、对环境敏感的政策提供信息，这些政策可以在保护学术价值的同时促进创新。

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引用次数: 0