Technology in Society最新文献

{"title":"Revolutionizing European digital exports: The intersection of global supply chains, green FinTech, and sustainable infrastructure","authors":"Qaisar Ullah ,&nbsp;Yuzhuo Qiu ,&nbsp;Shayan khan kakar ,&nbsp;Mansoor Sami","doi":"10.1016/j.techsoc.2025.103209","DOIUrl":"10.1016/j.techsoc.2025.103209","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103209"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic resilience in ASEAN under global shocks: The roles of demography, investment, digital economy, and talent","authors":"Zongpu Yang ,&nbsp;Usman Mehmood ,&nbsp;Abdulateif A. Almulhim ,&nbsp;Abdullah A. Aljughaiman","doi":"10.1016/j.techsoc.2026.103228","DOIUrl":"10.1016/j.techsoc.2026.103228","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103228"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unlocking social sustainability and inclusivity of digitalized urban public Facilities: A Causal model across global case studies","authors":"Alireza Moghayedi ,&nbsp;Kathy Michell ,&nbsp;Shalini Urs ,&nbsp;Anh Tran ,&nbsp;Jim Mason","doi":"10.1016/j.techsoc.2026.103217","DOIUrl":"10.1016/j.techsoc.2026.103217","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103217"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peeling back acceptance: An onion model of AI humanoid robot adoption in homes","authors":"Bingqin Han ,&nbsp;Diyi Liu","doi":"10.1016/j.techsoc.2025.103173","DOIUrl":"10.1016/j.techsoc.2025.103173","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103173"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Driving out risk: A taxonomy of factors influencing perceived safety in automated vehicles and the role of knowledge-based variation","authors":"Xinyi Wu ,&nbsp;Luca Mora ,&nbsp;Clare McTigue","doi":"10.1016/j.techsoc.2025.103164","DOIUrl":"10.1016/j.techsoc.2025.103164","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103164"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How digital entrepreneurship platforms enable new ventures: A framework of enabling strategies","authors":"Xiao Chen ,&nbsp;Roger (Rongxin) Chen ,&nbsp;Gang Zheng ,&nbsp;Di Song","doi":"10.1016/j.techsoc.2026.103249","DOIUrl":"10.1016/j.techsoc.2026.103249","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"86 ","pages":"Article 103249"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The potential impact of artificial intelligence on CO2 emissions: A comparison between China and the US","authors":"Zuxu Chen ,&nbsp;Yu Song","doi":"10.1016/j.techsoc.2026.103233","DOIUrl":"10.1016/j.techsoc.2026.103233","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103233"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fintech, BigTech credit and sustainable development: International evidence","authors":"Shahzad Hussain ,&nbsp;Ajid Ur Rehman ,&nbsp;Hina Affandi ,&nbsp;Mamdouh Abdulaziz Saleh Al-Faryan ,&nbsp;Nader Naifar","doi":"10.1016/j.techsoc.2025.103160","DOIUrl":"10.1016/j.techsoc.2025.103160","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103160"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative investigation of the impact of digitalisation and work-from-home policy on firm performance: MNEs vs international SMEs","authors":"Seyed Hossein Razavi Hajiagha ,&nbsp;Hannan Amoozad Mahdiraji ,&nbsp;Maryam Behnam ,&nbsp;Jose Arturo Garza-Reyes","doi":"10.1016/j.techsoc.2025.103169","DOIUrl":"10.1016/j.techsoc.2025.103169","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103169"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligence behind individualization: A survey on role of AI in mass customized and personalized production","authors":"Garima Nain ,&nbsp;Umashankar Samal","doi":"10.1016/j.techsoc.2025.103195","DOIUrl":"10.1016/j.techsoc.2025.103195","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103195"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}