Technology in Society最新文献_第4页

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 : 2026-06-01 Epub 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

Economic resilience in ASEAN under global shocks: The roles of demography, investment, digital economy, and talent 全球冲击下东盟的经济弹性：人口、投资、数字经济和人才的作用

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2026-01-06 DOI: 10.1016/j.techsoc.2026.103228

Zongpu Yang , Usman Mehmood , Abdulateif A. Almulhim , Abdullah A. Aljughaiman

The global economic landscape has been increasingly shaped by technological disruption, demographic pressures, and external shocks such as the COVID-19 pandemic, raising urgent questions about what drives economic resilience (ER) in developing regions like ASEAN. This study investigates the determinants of ER across ten ASEAN countries from 2010 to 2023, focusing on population growth (PG), foreign investment (FI), digital economy (DE), talent (TLN), and technology (TECH). After confirming slope heterogeneity and cross-sectional dependence, unit root tests (CADF, CIPS) and Westerlund cointegration were applied, followed by the Method of Moments Quantile Regression (MMQR) as the main estimator. To account for global shocks and cross-sectional dependence, Augmented Mean Group (AMG) and Common Correlated Effects Mean Group (CCEMG) estimators were employed, while Fixed Effects (FE), Feasible Generalized Least Squares (FGLS), and Driscoll–Kraay errors were used for robustness. The results reveal significant heterogeneity across the ER distribution. FI, TLN, and TECH exhibit rising positive effects at higher quantiles, indicating that more resilient economies benefit more from capital inflows, education quality, and digital readiness. DE has a limited or mixed influence, becoming significant only under certain long-run models, while PG shows weak and inconsistent effects. Contrasts between MMQR and long-run estimators highlight that short-term resilience during shocks such as COVID-19 is shaped by digital infrastructure and institutional capacity, whereas long-run gains depend on regional integration and structural reform. Robustness checks largely affirm these patterns. The study concludes that ASEAN's resilience is shaped by both absorptive capacity and policy responsiveness. It underscores the need for inclusive digitalization, human capital development, and coordinated regional strategies to ensure that economic shocks translate into adaptive, rather than regressive, outcomes. These findings inform targeted reforms that can help ASEAN countries build resilience in a volatile and interconnected global economy.

全球经济格局日益受到技术颠覆、人口压力和COVID-19大流行等外部冲击的影响，这就提出了一个紧迫的问题，即是什么推动了东盟等发展中地区的经济复原力。本研究调查了2010年至2023年10个东盟国家经济效益的决定因素，重点关注人口增长（PG）、外国投资（FI）、数字经济（DE）、人才（TLN）和技术（TECH）。在确认斜率异质性和横截面相关性后，采用单位根检验（CADF）、CIPS和Westerlund协整，然后采用矩量分位数回归法（MMQR）作为主估计量。为了考虑全局冲击和横截面依赖性，采用增广平均组（AMG）和共同相关效应平均组（CCEMG）估计器，而固定效应（FE）、可行广义最小二乘法（FGLS）和Driscoll-Kraay误差用于鲁棒性。结果显示了ER分布的显著异质性。FI、TLN和TECH在更高的分位数上表现出越来越强的积极影响，这表明更具弹性的经济体从资本流入、教育质量和数字化准备中获益更多。DE的影响有限或混合，仅在某些长期模型下才显着，而PG的影响较弱且不一致。MMQR与长期估算值之间的对比突出表明，应对2019冠状病毒病等冲击的短期韧性取决于数字基础设施和机构能力，而长期收益则取决于区域一体化和结构改革。稳健性检查在很大程度上肯定了这些模式。该研究的结论是，东盟的韧性是由吸收能力和政策响应能力共同决定的。报告强调需要包容性数字化、人力资本开发和协调的区域战略，以确保经济冲击转化为适应性而非倒退性结果。这些发现为有针对性的改革提供了信息，这些改革可以帮助东盟国家在动荡和相互关联的全球经济中建立抵御力。

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引用次数: 0

Unlocking social sustainability and inclusivity of digitalized urban public Facilities: A Causal model across global case studies 解锁数字化城市公共设施的社会可持续性和包容性：基于全球案例研究的因果模型

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2026-01-05 DOI: 10.1016/j.techsoc.2026.103217

Alireza Moghayedi , Kathy Michell , Shalini Urs , Anh Tran , Jim Mason

The rapid digital transformation of urban environments is reshaping how citizens interact with public infrastructure. One emerging innovation is Digitalized Urban Public Facilities (DUPFs). While DUPFs are widely recognized for their operational and technological benefits, their social implications, particularly regarding inclusivity and social sustainability, remain underexplored. This study addresses this gap by examining how DUPF characteristics, user experiences, and socio-demographic profiles interact to shape perceptions of inclusivity and social sustainability. Adopting a multi-method quantitative research design, the study combines descriptive analysis and inferential modeling techniques. Drawing from a comprehensive literature review, a causal model is developed and validated using survey data collected from users across four global case studies. Through structural equation modeling (SEM) and moderation analysis, the findings reveal that DUPFs significantly enhance social sustainability, especially among marginalized and older users, who benefit most from improved accessibility, usability, and service responsiveness. The results further highlight that higher levels of digitalization and accessible information correlate strongly with perceived inclusivity. Moderation effects show that age and marginalization status amplify the positive impacts of DUPFs, while gender and income have minimal moderating influence. This study contributes novel insights into the social value of digital public services and provides actionable guidance for designing inclusive, user-centered DUPFs that advance equity and urban sustainability across diverse communities.

城市环境的快速数字化转型正在重塑市民与公共基础设施的互动方式。一个新兴的创新是数字化城市公共设施（DUPFs）。虽然DUPFs的业务和技术效益得到广泛认可，但其社会影响，特别是在包容性和社会可持续性方面，仍未得到充分探讨。本研究通过考察DUPF特征、用户体验和社会人口特征如何相互作用，从而形成对包容性和社会可持续性的看法，从而解决了这一差距。本研究采用多方法定量研究设计，将描述性分析与推理建模技术相结合。根据全面的文献综述，利用从四个全球案例研究的用户收集的调查数据，开发并验证了因果模型。通过结构方程模型（SEM）和调节分析，研究结果表明，DUPFs显著提高了社会可持续性，特别是边缘化和老年用户，他们从可访问性、可用性和服务响应性的改善中获益最多。结果进一步强调，更高水平的数字化和可访问信息与感知的包容性密切相关。调节效应表明，年龄和边缘化地位放大了DUPFs的积极影响，而性别和收入的调节作用最小。这项研究为数字公共服务的社会价值提供了新的见解，并为设计包容性的、以用户为中心的dupf提供了可操作的指导，从而促进了不同社区的公平和城市可持续性。

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引用次数: 0

Peeling back acceptance: An onion model of AI humanoid robot adoption in homes 剥离接受度：人工智能类人机器人在家庭中的应用的洋葱模型

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-11-19 DOI: 10.1016/j.techsoc.2025.103173

Bingqin Han , Diyi Liu

As AI humanoid robots increasingly enter domestic spaces, understanding the multifaceted drivers of user acceptance becomes crucial. However, existing technology acceptance models often overlook the unique contextual and emotional demands of home settings, the spaces characterized by intimacy, informality, and privacy sensitivity. This study proposes a novel “onion model” of AI humanoid robot acceptance in home settings, structured across three layers: technical, psychological, and social. Drawing on data from 1373 individuals in China, results reveal that technical performance, particularly reliability (β = 0.355) and usability (β = 0.341), serves as the foundational layer of acceptance, while customization (β = 0.230) and cost–benefit evaluation (β = 0.325) significantly enhance user attachment and rational justification. Perceived intrusiveness strongly deters acceptance (β = −0.101), reflecting heightened privacy sensitivities in home environments. For social factor, peer influence was also found to play a significant role (β = 0.207), highlighting the importance of collective norms in shaping individual decisions. The findings contribute both a contextually grounded and theoretically novel framework for understanding AI adoption, offering actionable insights for developers, policymakers, and researchers seeking to advance human–AI integration in everyday life.

随着人工智能人形机器人越来越多地进入家庭空间，了解用户接受度的多方面驱动因素变得至关重要。然而，现有的技术接受模式往往忽视了家庭环境的独特背景和情感需求，以及以亲密、非正式和隐私敏感性为特征的空间。本研究提出了一种新的人工智能类人机器人在家庭环境中接受度的“洋葱模型”，该模型横跨三个层面：技术、心理和社会。基于1373个中国个体的数据，研究结果表明，技术性能，特别是可靠性（β = 0.355）和可用性（β = 0.341）是用户接受度的基础，而定制（β = 0.230）和成本效益评估（β = 0.325）显著增强了用户的依恋和理性论证。感知到的侵入性强烈阻碍了接受（β = - 0.101），反映了家庭环境中隐私敏感性的提高。对于社会因素，同伴影响也发挥了重要作用（β = 0.207），突出了集体规范在塑造个人决策中的重要性。这些发现为理解人工智能的采用提供了一个基于背景和理论上新颖的框架，为寻求在日常生活中推进人类与人工智能融合的开发人员、政策制定者和研究人员提供了可行的见解。

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引用次数: 0

Driving out risk: A taxonomy of factors influencing perceived safety in automated vehicles and the role of knowledge-based variation 排除风险：影响自动驾驶车辆感知安全性的因素分类以及基于知识的变化的作用

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-11-11 DOI: 10.1016/j.techsoc.2025.103164

Xinyi Wu , Luca Mora , Clare McTigue

Despite ongoing technological advancements, public acceptance of automated vehicles (AVs) remains limited, with perceived safety (PSAV) emerging as a pivotal determinant of trust and adoption. While prior research has identified factors such as cybersecurity, legal accountability, and functional performance as influential, these elements are often examined in isolation and without a unifying framework. Furthermore, the role of individuals' Knowledge Levels of AVs (KLAV) in shaping the salience of safety concerns remains underexplored. This study addresses these gaps through a qualitative investigation involving 66 interviews with members of the public and AV experts in the United Kingdom. We develop an empirically grounded taxonomy of PSAV comprising thirteen factors, organized into three overarching categories: Technological Safety, Psychological Safety, and Social Safety. Our findings suggest that perceptions of safety are not uniform but vary with participants’ KLAV, which is associated with differences in how safety concerns are interpreted and prioritized. The study advances theoretical understanding by reconceptualizing PSAV as a multidimensional and knowledge-sensitive construct. Practically, the taxonomy and KLAV-based insights offer actionable guidance for AV research, public engagement, and anticipatory governance, supporting more inclusive and socially responsive pathways for AV deployment.

尽管技术不断进步，但公众对自动驾驶汽车（AVs）的接受程度仍然有限，感知安全性（PSAV）正在成为信任和采用的关键决定因素。虽然先前的研究已经确定了网络安全、法律责任和职能绩效等因素的影响，但这些因素往往是孤立的，没有统一的框架。此外，个人对自动驾驶汽车的知识水平（KLAV）在塑造安全问题突出性方面的作用仍未得到充分探讨。本研究通过对英国公众和AV专家进行66次访谈的定性调查来解决这些差距。我们开发了一个基于经验的PSAV分类，包括13个因素，分为三个总体类别：技术安全，心理安全和社会安全。我们的研究结果表明，对安全的看法并不统一，而是随着参与者的KLAV而变化，这与如何解释和优先考虑安全问题的差异有关。该研究通过将PSAV重新定义为一个多维的、知识敏感的结构来推进理论理解。实际上，分类法和基于klv的见解为自动驾驶汽车的研究、公众参与和预期治理提供了可操作的指导，为自动驾驶汽车的部署提供了更具包容性和社会响应性的途径。

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引用次数: 0

How digital entrepreneurship platforms enable new ventures: A framework of enabling strategies 数字创业平台如何支持新企业：一个支持战略的框架

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2026-01-27 DOI: 10.1016/j.techsoc.2026.103249

Xiao Chen , Roger (Rongxin) Chen , Gang Zheng , Di Song

Prior literature demonstrates that digital entrepreneurship platforms function as external enablers of entrepreneurship, providing essential resources to foster the growth of new ventures. Nonetheless, the strategies employed by these platforms to facilitate entrepreneurial firms remain insufficiently underexplored, leaving gaps in understanding how these platforms operationalize their enabling potential in diverse entrepreneurial contexts. From the theoretical lens of the external enabler framework, this study develops a framework of enabling strategies through a multiple-case study of representative digital entrepreneurship platforms. In this framework, two dimensions and four associated enabling strategies are identified. These strategies refine the mechanisms through which digital entrepreneurship platforms enable new ventures, thus filling the pertinent research gaps in this domain. This study further contributes to the literature on the external enablers of new ventures across distinct scenarios and platform-enabled entrepreneurship.

先前的文献表明，数字创业平台作为创业的外部推动者，为促进新创企业的成长提供了必要的资源。尽管如此，这些平台为促进创业公司所采用的策略仍然没有得到充分的探索，在理解这些平台如何在不同的创业环境中发挥其促进潜力方面存在差距。本研究从外部使能者框架的理论视角出发，通过对具有代表性的数字创业平台的多案例研究，构建了一个使能策略框架。在这个框架中，确定了两个维度和四个相关的启用策略。这些策略完善了数字创业平台催生新企业的机制，从而填补了这一领域的相关研究空白。本研究进一步促进了关于不同情景和平台驱动型创业的新创企业的外部推动因素的文献。

引用次数: 0

The potential impact of artificial intelligence on CO2 emissions: A comparison between China and the US 人工智能对二氧化碳排放的潜在影响：中美对比

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2026-01-08 DOI: 10.1016/j.techsoc.2026.103233

Zuxu Chen , Yu Song

To better address artificial intelligence challenges, a rational assessment of its impacts is essential. However, when estimating the influence of artificial intelligence, most studies have overlooked sectoral heterogeneity and regional competition, which are prevalent in reality. This paper constructs an analytical framework based on the GTAP-E model and input-output analysis to more effectively forecast artificial intelligence's intricate effects. The results show that both China and the US are estimated to achieve better GDP growth during 2025–2035, but the US growth rate is higher. Rising AI adoption in developed countries lowers production costs and prices, impacting exports from China. Environmentally, despite producing more, China's CO₂ emissions growth rate is significantly lower than expected, demonstrates that artificial intelligence has great potential in helping China reduce emissions. China's imports of embodied CO₂ resulting from the export of energy-intensive products will be reduced. In contrast, the US, which may popularize artificial intelligence earlier, is reducing its CO₂ emission intensity more slowly than China by 2035. Besides, with the growth of demand resulting from artificial intelligence, the US will export more embodied CO₂ emissions overseas.

为了更好地应对人工智能的挑战，对其影响进行理性评估至关重要。然而，在评估人工智能的影响时，大多数研究都忽略了现实中普遍存在的行业异质性和区域竞争。为了更有效地预测人工智能的复杂效应，本文构建了基于GTAP-E模型和投入产出分析的分析框架。结果表明，预计中国和美国在2025-2035年期间实现更好的GDP增长，但美国的增长率更高。发达国家越来越多地采用人工智能，降低了生产成本和价格，影响了中国的出口。在环境方面，尽管产量增加，但中国的二氧化碳排放增长率明显低于预期，这表明人工智能在帮助中国减排方面具有巨大潜力。中国能源密集型产品出口产生的隐含二氧化碳进口将会减少。相比之下，美国可能更早普及人工智能，但到2035年，其二氧化碳排放强度的降低速度比中国慢。此外，随着人工智能带来的需求增长，美国将向海外出口更多的隐含二氧化碳排放。

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引用次数: 0

Fintech, BigTech credit and sustainable development: International evidence 金融科技、大科技信用与可持续发展：国际证据

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-11-12 DOI: 10.1016/j.techsoc.2025.103160

Shahzad Hussain , Ajid Ur Rehman , Hina Affandi , Mamdouh Abdulaziz Saleh Al-Faryan , Nader Naifar

This research study explores the connection between financial and technological services, namely BigTech and Fintech credit and sustainable development in 85 nations. The findings show a strong and positive association between tech-enabled credit and sustainable development, although with a more substantial impact observed in developed economies than in developing ones. The study highlights how Fintech credit promotes financial inclusion, reduces the cost of transactions, and encourages investments in green technologies, thus promoting sustainable economic development. Fintech's role in enhancing access to financial services and supporting environmentally friendly investments is highlighted. These results underscore the need for forward-looking policymaking in stimulating Fintech uptake as a way of facilitating both environmental and economic sustainability. This research contributes to the body of knowledge by providing robust empirical evidence of Fintech contribution to sustainable development.

本研究探讨了85个国家的金融和技术服务，即BigTech和Fintech信贷与可持续发展之间的联系。研究结果表明，技术支持的信贷与可持续发展之间存在强烈的正相关关系，尽管发达经济体的影响比发展中经济体更大。该研究强调了金融科技信贷如何促进普惠金融，降低交易成本，鼓励绿色技术投资，从而促进经济可持续发展。会议强调了金融科技在提高金融服务可及性和支持环境友好型投资方面的作用。这些结果强调了前瞻性政策制定的必要性，以刺激金融科技的采用，作为促进环境和经济可持续性的一种方式。本研究为金融科技对可持续发展的贡献提供了强有力的经验证据，从而为知识体系做出了贡献。

引用次数: 0

A comparative investigation of the impact of digitalisation and work-from-home policy on firm performance: MNEs vs international SMEs 数字化和在家工作政策对公司绩效影响的比较研究：跨国公司与国际中小企业

IF 12.5 1区社会学 Q1 SOCIAL ISSUES

Technology in Society

Pub Date : 2026-06-01 Epub Date: 2025-11-12 DOI: 10.1016/j.techsoc.2025.103169

Seyed Hossein Razavi Hajiagha , Hannan Amoozad Mahdiraji , Maryam Behnam , Jose Arturo Garza-Reyes

The COVID-19 pandemic accelerated the adoption of work-from-home (WFH) practices, raising important questions about their long-term implications for organisational performance. This issue is particularly salient for multinational enterprises (MNEs) and international small and medium-sized enterprises (SMEs), where digitalisation has significantly reshaped work arrangements. This study evaluates the advantages and disadvantages of WFH and their differential impacts on MNEs and international SMEs. A comparative analysis was conducted using expert pairwise judgements, assessed through linguistic terms with weakened hedges (LTWHs) within the Best–Worst Method (BWM) framework. The LTWHs approach enables experts to articulate nuanced and flexible preferences, extending traditional linguistic scales by softening the strength of evaluations. This makes it particularly suited for capturing subjective assessments of WFH impacts under conditions of uncertainty. The findings indicate substantial variation in WFH adoption, with private sector organisations demonstrating approximately 50 % greater willingness to adopt WFH compared to public authorities. The analysis further highlights the distinct advantages and disadvantages that shape the performance outcomes of MNEs and international SMEs. By introducing a novel hesitant fuzzy linguistic preference approach, this study develops a comprehensive framework for assessing the organisational consequences of WFH. The results offer valuable insights for managers and policymakers seeking to strike a balance between flexibility, productivity, and resilience in the design of post-pandemic work strategies.

2019冠状病毒病大流行加速了在家工作（WFH）实践的采用，引发了有关其对组织绩效的长期影响的重要问题。这个问题对于跨国企业（MNEs）和国际中小企业（SMEs）来说尤为突出，因为数字化极大地改变了这些企业的工作安排。本研究评估了WFH的优势和劣势，以及它们对跨国公司和国际中小企业的不同影响。使用专家两两判断进行比较分析，在最佳-最差方法（BWM）框架内通过带有弱化对冲（LTWHs）的语言术语进行评估。LTWHs方法使专家能够阐明细微而灵活的偏好，通过软化评估的强度来扩展传统的语言尺度。这使得它特别适合于获取在不确定条件下对水谷影响的主观评估。调查结果表明，采用WFH的情况存在很大差异，与公共机构相比，私营部门组织采用WFH的意愿高出约50%。分析进一步强调了形成跨国公司和国际中小企业绩效结果的独特优势和劣势。通过引入一种新的犹豫模糊语言偏好方法，本研究开发了一个全面的框架来评估WFH的组织后果。研究结果为管理人员和政策制定者在设计大流行后工作战略时寻求在灵活性、生产力和复原力之间取得平衡提供了宝贵的见解。

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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 : 2026-06-01 Epub 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