Technology in Society最新文献_第5页

The ripple effect: Does digital transformation spark enterprises' technological innovation in supply chains? 连锁效应：数字化转型是否激发了企业在供应链中的技术创新？

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2025-11-07 DOI: 10.1016/j.techsoc.2025.103155

Bingbing Liu

{"title":"The ripple effect: Does digital transformation spark enterprises' technological innovation in supply chains?","authors":"Bingbing Liu","doi":"10.1016/j.techsoc.2025.103155","DOIUrl":"10.1016/j.techsoc.2025.103155","url":null,"abstract":"<div><div>While digitalization is increasingly recognized as a critical driver of competitive advantage, existing literature has predominantly examined its impact on supply chain resilience and efficiency, with limited attention to its spillover effects across supply chains. This study addresses this gap by introducing the supply chain spillover perspective to investigate how digital transformation (DT) in focal firms influences their customers' technological innovation. We also analyze the direct and indirect mechanisms through which this effect occurs. Using panel data from Chinese listed companies (2018–2023), we employ a two-way fixed effects model and a Probit model to assess the impact of focal firms' DT on customers' innovation input and output probabilities. Our results indicate that focal firms’ DT significantly enhances their customers' innovation input and output. Grounded in signaling theory, open innovation, and market competition theories, we find that alleviating financing constraints, fostering cooperative innovation, and intensifying industry competition are main indirect impact mechanisms. Heterogeneity analyses reveal that the effect is more pronounced in industries with higher levels of digitalization, among state-owned enterprises in terms of innovation input and private firms in terms of output, as well as among market-leading firms and within supply chains characterized by stronger inter-firm linkages. Our findings suggest that managers should formulate DT strategies from an industrial chain perspective, enhancing their technological innovation capabilities by establishing deep collaborative relationships with supply chain partners and actively participating in digital innovation platforms.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103155"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527328","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}

引用次数: 0

With a little help from my artificial friend: Functional and parasocial value in ChatGPT use 在我的人工朋友的一点帮助下：ChatGPT使用中的功能和副社会价值

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2026-01-05 DOI: 10.1016/j.techsoc.2026.103220

Wassili Lasarov , Stefan Hoffmann , Yogesh K. Dwivedi

{"title":"With a little help from my artificial friend: Functional and parasocial value in ChatGPT use","authors":"Wassili Lasarov , Stefan Hoffmann , Yogesh K. Dwivedi","doi":"10.1016/j.techsoc.2026.103220","DOIUrl":"10.1016/j.techsoc.2026.103220","url":null,"abstract":"<div><div>Generative artificial intelligence (GenAI) tools have attracted worldwide attention, yet the drivers of their adoption remain insufficiently understood. This study develops and tests a comprehensive model of GenAI adoption that integrates two central value dimensions – functional value and parasocial value – alongside four classes of individual background factors: personality traits, hopes and fears regarding AI, beliefs about developer responsibility, and trust in GenAI. Using partial least squares structural equation modeling (PLS-SEM) with data from 638 participants, we examine both direct and mediated effects on adoption intention and conduct subgroup analyses for users with and without prior GenAI experience (Study 1). To capture adoption dynamics over time, we complement this analysis with a three-month follow-up study of 227 participants from the original sample (Study 2). Results show that functional value positively predicts adoption intention among both adopters and non-adopters, whereas parasocial value predicts adoption intention only among adopters. In addition, background factors indirectly shape adoption through their influence on perceived values. By demonstrating the differential role of functional versus parasocial value, introducing four classes of background factors, and incorporating a longitudinal design, this research advances understanding of GenAI acceptance and contributes to broader discussions of responsible innovation. The findings also carry implications for organizations and policymakers, who must encourage adoption while safeguarding against risks such as user manipulation or dependency.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103220"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924182","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}

引用次数: 0

Workers' subjective well-being in human-robot interaction: Evidence from China labor-force dynamics survey 人机交互中工人的主观幸福感：来自中国劳动力动态调查的证据

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2026-01-03 DOI: 10.1016/j.techsoc.2026.103212

Chen Shen , Hao Zeng , Ruizhe Fan

{"title":"Workers' subjective well-being in human-robot interaction: Evidence from China labor-force dynamics survey","authors":"Chen Shen , Hao Zeng , Ruizhe Fan","doi":"10.1016/j.techsoc.2026.103212","DOIUrl":"10.1016/j.techsoc.2026.103212","url":null,"abstract":"<div><div>As the new wave of the technological revolution accelerates, the widespread industrial robot adoption is profoundly reshaping the labor market. While existing research has predominantly focused on objective socioeconomic indicators such as employment, income, and workplace safety, the systematic impact on workers' subjective well-being (WSWB) remains largely underexplored. By integrating global robotics data from the International Federation of Robotics (IFR), micro-level firm data from China's Second National Economic Census, and micro-individual data from the China Labor-force Dynamics Survey (CLDS), this paper explores the impact and mechanisms of industrial robot adoption on WSWB in the industrial sectors of cities at or above the prefecture level in China. The research results indicate that industrial robot adoption has a significant positive effect on improving WSWB. The mechanism analysis reveals heterogeneous effects across skill levels. For high-skilled workers, robots deliver multi-dimensional benefits, including higher wages and welfare income, reduced physical labor intensity, enhanced skill development, and an improved work-life balance. For low-skilled workers, while robot-driven productivity improvements facilitate wage growth, particularly for lower-income groups, their improvements in welfare benefits, skill diversification, and health-related outcomes remain relatively limited. Moreover, heterogeneity analysis reveals that the impact of industrial robot adoption on WSWB exhibits substantial significant differences across individual, sectoral, and regional dimensions. The findings provide empirically grounded support and actionable pathways to optimize labor market structures, narrow inter-group well-being gaps, and boost national well-being as industrial robots proliferate.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103212"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924186","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}

引用次数: 0

Beyond the buffer effect: The paradox of institutional facilitation in sUAS adoption within aircraft maintenance 超越缓冲效应：飞机维修中采用sUAS的制度便利悖论

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2026-01-12 DOI: 10.1016/j.techsoc.2026.103221

Jordan Baus, Kiljae Lee, Tamilla Curtis

{"title":"Beyond the buffer effect: The paradox of institutional facilitation in sUAS adoption within aircraft maintenance","authors":"Jordan Baus, Kiljae Lee, Tamilla Curtis","doi":"10.1016/j.techsoc.2026.103221","DOIUrl":"10.1016/j.techsoc.2026.103221","url":null,"abstract":"<div><div>This study recontextualizes technology adoption theory within the high-stakes, rules-based domain of aircraft maintenance. Using survey data from 527 aviation maintenance professionals analyzed through a two-stage PLS-SEM approach, we reveal that institutional norms and facilitation operate with a dual function, challenging their well-documented role as a unidirectional enabler. Contrary to conventional stress-buffering assumptions, facilitation does not reduce anxiety. Instead, it functions as an exposure mechanism, amplifying anxiety by heightening awareness of regulatory and procedural complexities. This anxiety, in turn, functions as a significant deterrent to adoption. However, facilitation also exerts a dominant, direct positive influence (<span><math><mrow><mi>β</mi><mo>=</mo><mn>0.716</mn></mrow></math></span>) that overshadows this psychological resistance. These results reveal a paradox of institutional facilitation: an anxiety amplifier that is overridden by institutional imperatives. We demonstrate that in this high-stakes context, adoption is less an act of individual volition and more an organizational mandate. Established adoption models must therefore be adapted for regulated environments, underscoring the need for strategies that empower, not merely expose, professionals to technological change.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103221"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975890","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}

引用次数: 0

A hybrid Bayesian BWM-machine learning framework for university digital transformation assessment: Integrating expert clustering and predictive validation 用于大学数字化转型评估的混合贝叶斯bwm -机器学习框架：集成专家聚类和预测验证

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2025-11-19 DOI: 10.1016/j.techsoc.2025.103170

Huai-Wei Lo , Sheng-Wei Lin

{"title":"A hybrid Bayesian BWM-machine learning framework for university digital transformation assessment: Integrating expert clustering and predictive validation","authors":"Huai-Wei Lo , Sheng-Wei Lin","doi":"10.1016/j.techsoc.2025.103170","DOIUrl":"10.1016/j.techsoc.2025.103170","url":null,"abstract":"<div><div>The rapid advancement of artificial intelligence–driven technologies has underscored the need for universities to undergo a comprehensive digital transformation. This study introduces a novel hybrid framework that combines the Bayesian best–worst method (BBWM) with machine learning techniques to identify and assess key success factors for university digital transformation. This study integrates expert clustering analysis and predictive modeling validation to provide enhanced decision support capabilities. Through systematic evaluation of 27 experts across 5 key dimensions—digital infrastructure, teaching and learning, research, administration and governance, and stakeholder engagement—the analysis revealed critical insights into transformation priorities. Clustering analysis identified seven distinct stakeholder assessment patterns, demonstrating significant heterogeneity in evaluation approaches across professional backgrounds and experience levels. Digital skills and literacy development emerged as the most influential factor, followed by the availability of online learning resources and the adequacy of network infrastructure. Methodological validation demonstrated exceptional convergence between the BBWM and traditional BWM (correlation coefficient: 0.9961), whereas machine learning validation confirmed the robustness of dimensional priority hierarchies through feature importance analysis. The hybrid framework achieved a ranking confidence of 70.23 % and provides stakeholder-specific insights for developing differentiated implementation strategies. This study contributes to the digital transformation literature by presenting the first integration of Bayesian inference and machine learning for university assessment, providing evidence-based frameworks to support strategic technology planning and resource allocation in an increasingly digital educational landscape.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103170"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623536","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}

引用次数: 0

How disruptive technologies reshape urban safety: Spatial spillovers and governance mechanisms in China 颠覆性技术如何重塑中国城市安全：空间溢出效应与治理机制

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2025-12-08 DOI: 10.1016/j.techsoc.2025.103191

Tangjie Huang , Wei Zhang, Shiqi Ye

{"title":"How disruptive technologies reshape urban safety: Spatial spillovers and governance mechanisms in China","authors":"Tangjie Huang , Wei Zhang, Shiqi Ye","doi":"10.1016/j.techsoc.2025.103191","DOIUrl":"10.1016/j.techsoc.2025.103191","url":null,"abstract":"<div><div>The rapid advancement of disruptive technologies has open new pathways for innovation and urban safety enhancement. Drawing on panel data from 30 Chinese provinces between 2011 and 2020, this study constructs a composite index to measure disruptive technologies levels and employs a Spatial Durbin Model to explore their relationships with municipal infrastructure capacity, education investment, and urban safety. The findings show that disruptive technologies significantly improve urban safety, but also introduce a negative spatial spillover effect. Municipal infrastructure capacity serves as a key channel through which these technologies influence safety, while education investment strengthens the relationship between infrastructure capacity and safety outcomes. These findings highlight the dual-edged nature of technological disruption and emphasize the importance of coordinated governance. Policymakers should foster balanced technological diffusion, strengthen infrastructure resilience, and invest in education to ensure that technological progress effectively contributes to sustainable urban development and safety.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103191"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747112","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}

引用次数: 0

Technology, institutions, and migration: A fusional governance framework for mitigating state fragility 技术、制度和迁移：减轻国家脆弱性的融合治理框架

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2025-11-19 DOI: 10.1016/j.techsoc.2025.103175

Hafiz Syed Mohsin Abbas

{"title":"Technology, institutions, and migration: A fusional governance framework for mitigating state fragility","authors":"Hafiz Syed Mohsin Abbas","doi":"10.1016/j.techsoc.2025.103175","DOIUrl":"10.1016/j.techsoc.2025.103175","url":null,"abstract":"<div><div>State fragility is a complex challenge that demands multi-actor governance strategies. The New Public Governance framework offers an innovative approach by integrating technology, institutional reforms, and diaspora engagement to mitigate state fragility while aligning with Sustainable Development Goals. Using empirical evidence from GMM, this study demonstrates that networked e-participation and institutional liberalization are pivotal in reducing fragility, with technology-driven public engagement and rule-of-law governance playing critical roles across all development levels. We also find that low-income countries benefit significantly from diaspora contributions, enhancing labor mobility, socioeconomic stability, and expert knowledge compared to upper-middle-income and lower-middle-income nations. However, lower-middle-income economies exhibit weaker responsiveness to technological and institutional innovations, limiting their ability to harness migration advantages. The study advocates for mutually beneficial foreign policies that discourage brain drain while fostering tech-business collaborations between developed and developing nations. Policymakers must prioritize digital innovation through AI adoption and blockchain for transparent participation, enhance digital platforms for freelancers, and develop skills in struggling economies. The policymakers should also channel remittance systems and reduce taxation in struggling economies to promote economic liberties. For institutional liberation, they should strengthen institutions by building social cohesion. Additionally, poverty and unemployment reductions should boost economic growth and mitigate fragility. Regarding the diaspora effect, countries should ease their migration and refugee policies, providing appropriate rights and opportunities for integration into society, contributing to state development. They should also ensure joint ventures and institutional resilience to maintain political and economic sovereignty in fragile states.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103175"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145579372","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}

引用次数: 0

Artificial intelligence and digital Nationalism: A social media discourse analysis 人工智能与数字民族主义：社交媒体话语分析

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2025-12-12 DOI: 10.1016/j.techsoc.2025.103197

Yuhang Li , Chunhao Ma , Lisai Yu

{"title":"Artificial intelligence and digital Nationalism: A social media discourse analysis","authors":"Yuhang Li , Chunhao Ma , Lisai Yu","doi":"10.1016/j.techsoc.2025.103197","DOIUrl":"10.1016/j.techsoc.2025.103197","url":null,"abstract":"<div><div>Amid the rapid advancement of generative artificial intelligence (AI), public perceptions and emotional attitudes toward AI have become increasingly complex. Existing research has predominantly focused on micro-level aspects such as risk perception and technology acceptance, with limited attention to its connections with national identity and cultural sentiment. Adopting a nationalism perspective, this study employs computational social science methods to examine whether and how nationalistic expressions emerge in public discussions on the Chinese large language model DeepSeek on the social media platform Weibo. We developed a lexicon-based methodology for nationalism, structured around five dimensions: national pride, national revival, anti-foreign, techno-nationalism, and cultural nationalism. Leveraging large-scale text mining and the Analysis of Topic Model Networks (ANTMN), we identify two distinct discursive clusters named the Utility cluster and the Sociopolitical cluster, and further conducted a comparative analysis of how nationalism was discursively articulated within each cluster. The results show that discussions of DeepSeek prominently reflect nationalistic sentiment, with techno-nationalism emerging as the most salient dimension. Significant structural differences were observed between clusters in the ways nationalism is articulated. This study expands the theoretical scope of AI public opinion research, proposes a quantifiable framework for analyzing nationalism, and offers new empirical insights into the national symbolism and collective emotions embedded in contemporary AI technologies.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103197"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796952","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}

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

Technology in Society Pub Date : 2026-06-01 Epub Date: 2025-12-13 DOI: 10.1016/j.techsoc.2025.103201

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

{"title":"Achieving sustainable development with the application of artificial intelligence: Effects on global green energy security amid geopolitical risk","authors":"Muhammad Zubair Chishti , Asif Ali , Muhammad Qasim Javaid , Oktay Özkan","doi":"10.1016/j.techsoc.2025.103201","DOIUrl":"10.1016/j.techsoc.2025.103201","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103201"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145796948","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}

引用次数: 0

Does the digital economy moderate the climate vulnerability-inclusive green growth nexus? International evidence 数字经济能否缓和气候脆弱性与包容性绿色增长之间的关系？国际证据

IF 12.5 1区社会学

Technology in Society Pub Date : 2026-06-01 Epub Date: 2025-11-29 DOI: 10.1016/j.techsoc.2025.103185

Huwei Wen , Chunyun Qiao , Xuan-Hoa Nghiem

{"title":"Does the digital economy moderate the climate vulnerability-inclusive green growth nexus? International evidence","authors":"Huwei Wen , Chunyun Qiao , Xuan-Hoa Nghiem","doi":"10.1016/j.techsoc.2025.103185","DOIUrl":"10.1016/j.techsoc.2025.103185","url":null,"abstract":"<div><div>The intensification of climate vulnerability severely constrains the long-term viability of human societies, and the digital economy is a key pathway for mitigating its negative impacts. This study examines the impact of climate vulnerability on inclusive green growth (IGG) using cross-national panel data from 2013 to 2023 and tests the moderating effect of the digital economy. The results indicate that heightened climate vulnerability significantly inhibits IGG, and this conclusion remains robust after adjusting the model settings and sample scope and addressing endogeneity issues. Mechanistic analysis reveals that climate vulnerability primarily hinders IGG by suppressing energy structure transition and weakening social equity. Moderation effect analysis reveals that the digital economy can mitigate the adverse impacts of climate shocks on IGG. However, the panel threshold model results indicate that the moderation strength does not significantly differ on either side of the digital economy threshold value. The limited mixed regression models can effectively capture the moderating effects of the digital economy and indicate that its mitigating role continues to strengthen as the digital economy develops. This study offers policymakers critical empirical support and actionable policy insights to address climate challenges and advance IGG.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"85 ","pages":"Article 103185"},"PeriodicalIF":12.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145690545","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}

引用次数: 0