Technology in Society最新文献

{"title":"How do users adopt AI-generated content (AIGC)? An exploration of content cues and interactive cues","authors":"Chenxi Li ,&nbsp;Yixun Lin ,&nbsp;Ruqing Chen ,&nbsp;Jing (Elaine) Chen","doi":"10.1016/j.techsoc.2025.102830","DOIUrl":"10.1016/j.techsoc.2025.102830","url":null,"abstract":"<div><div>Despite the growing adoption of AI-generated content (AIGC), its full potential remains underexplored. This study investigates the factors driving AIGC adoption and uncovers the psychological mechanisms underlying this process, grounded on the Information Adoption Model (IAM) integrated with the Cognition-Motivation-Emotion framework. Based on Structural Equation Modeling analysis, we find that AIGC adoption is shaped by content cues (perceived intelligence and anthropomorphism) and interactive cues (performance and effort expectancy), with emotions mediating the adoption process. This study enriches information processing literature by advancing IAM to accommodate the dynamic and iterative nature of AIGC adoption. It also establishes AIGC as a distinct category of digital content for the digital content adoption literature. Moreover, it shifts the focus of AI adoption research from technology adoption to content adoption.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102830"},"PeriodicalIF":10.1,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422627","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":"Intelligent-driven resilience enhancement: Nonlinear impacts and spatial spillover effects of AI penetration on China’s NEV industry chain","authors":"Qiong Yang,&nbsp;Haibin Liu","doi":"10.1016/j.techsoc.2025.102827","DOIUrl":"10.1016/j.techsoc.2025.102827","url":null,"abstract":"<div><div>As a key representative of China’s strategic emerging industries, the new energy vehicle (NEV) industry has demonstrated resilience in addressing global industrial risks and external shocks. Against the backdrop of a new technological revolution, the penetration of Artificial Intelligence (AI) plays a vital role in strengthening industrial chain resilience and ensuring stable economic operations. This paper, through theoretical deduction and empirical analysis using data from 563 listed companies between 2015 and 2023, systematically examines the nonlinear impact of AI penetration on NEV industry chain resilience, further exploring its spatial spillover effects. The findings indicate that AI penetration exerts an inverted U-shaped influence on the resistance, recovery, renewal capacities, and overall resilience of the NEV industry chain, with the average effect not yet surpassing the inflection point. This influence exhibits significant heterogeneity across different levels of economic development, pandemic stages, firm ownership, and industry chain segments. The dynamic spatial Durbin model confirms that the impact of AI penetration on the resilience of the NEV industry involves complex spatial spillover effects and spatial heterogeneity. The study provides policy recommendations for guiding AI application, fostering regional collaborative development, and optimizing industrial chain layouts, thereby enhancing the industry’s capacity to withstand external risks and promoting the high-quality development of China’s NEV sector.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102827"},"PeriodicalIF":10.1,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143274844","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":"Sustainable global semiconductor supply chain network design considering ESG","authors":"Mu-Chen Chen ,&nbsp;Shinsiong Pang ,&nbsp;Shau-Yu Su","doi":"10.1016/j.techsoc.2025.102829","DOIUrl":"10.1016/j.techsoc.2025.102829","url":null,"abstract":"<div><div>Industries, particularly semiconductor manufacturing companies, are increasingly aware of and engaged in environmental, social, and governance (ESG) management. ESG performance has become an essential business strategy. This study examines the combined effect of carbon tax, emissions trading systems (ETS), and ESG initiatives of a sample semiconductor company. We use a multi-objective mixed integer programming (MOMIP) model to investigate the production, carbon emissions, and job creation for the global supply chain of an Integrated Device Manufacturer (IDM). This study examines how an IDM's ESG initiative affects facility location selection, machine procurement, profit, and corporate social responsibility (CSR). We apply the proposed MOMIP model to a supply chain network of global semiconductor manufacturers. An example of an illustrative IDM company is used to validate the model's effectiveness. The results suggest that adopting ESG strategies does not significantly increase costs in the supply chain while reducing carbon emissions and increasing job creation. Therefore, semiconductor manufacturing companies benefit from ESG management and should put more resources into promoting it. This study contributes to the literature on developing a framework to assess ESG management in the global semiconductor supply chain. The methodology developed in this study provides a mathematical, economic, scientific and empirical basis to help manufacturers and governments with decision-making amid increased environmental costs and consciousness.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102829"},"PeriodicalIF":10.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170939","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":"Innovation in the storm: How typhoons are reshaping the corporate R&D landscape","authors":"Xue Lei,&nbsp;Xueguo Xu","doi":"10.1016/j.techsoc.2025.102828","DOIUrl":"10.1016/j.techsoc.2025.102828","url":null,"abstract":"<div><div>The increasing frequency and intensity of typhoons pose significant challenges to corporate innovation, a crucial driver of both economic growth and societal resilience. However, the mechanisms through which typhoons affect corporate innovation and their broader societal implications remain underexplored. This study addresses this critical gap by examining Chinese A-share listed companies from 2010 to 2022. Using wind field models to construct typhoon destructive power indices and employing difference-in-differences and instrumental variable approaches, we reveal that typhoons significantly reduce patent applications and R&amp;D expenditure intensity, especially in coastal regions. Our heterogeneity analysis further shows that state-owned enterprises demonstrate greater resilience due to institutional support, firms with higher R&amp;D intensity exhibit particular vulnerability to typhoon disruptions. We identify three primary inhibition channels: (1) economic losses and market uncertainties exacerbate financial constraints, limiting innovation investment in socially beneficial technologies; (2) population migration and safety concerns lead to human capital loss, weakening innovative capacity and knowledge networks within communities; and (3) infrastructure damage disrupts R&amp;D activities, particularly affecting the development of disaster-resilient technologies. These findings contribute to understanding how extreme weather events impact society's technological adaptive capacity and provide crucial empirical evidence for policy formulation. By emphasizing the importance of building resilient innovation ecosystems, our research offers timely insights for enhancing societal preparedness and technological equity in the context of increasing environmental challenges.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102828"},"PeriodicalIF":10.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103613","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":"Evaluating the impact of natural resource rents, R&D expenditures, green finance and energy efficiency on carbon emissions in BRICS economies: Greening the path to carbon neutrality in the post-COP 27 era","authors":"Nabila Amin ,&nbsp;Arshian Sharif ,&nbsp;Muhammad Salman Shabbir ,&nbsp;Yanchun Pan","doi":"10.1016/j.techsoc.2025.102826","DOIUrl":"10.1016/j.techsoc.2025.102826","url":null,"abstract":"<div><div>This study investigates the impact of natural resource rents, research and development expenditures, green energy, green technological innovation, economic growth, energy efficiency, and green finance on carbon emissions in the BRICS economies from 1995 to 2022. Utilizing data from the World Development Indicators (WDI) and OECD, the study employs a cross-sectional ARDL model to explore dependencies and correlations among these variables. Advanced panel methods of the second generation are used to account for potential cross-sectional dependencies and heterogeneity across the countries. The empirical findings reveal that while economic growth and natural resource rents exacerbate carbon emissions, research and development expenditure, green energy, green technological innovation, energy efficiency, and green finance support environmental sustainability. Notably, the Dumitrescu and Hurlin panel causality test uncovers bidirectional causal relationships between the key variables. Based on these findings, the study recommends several policy actions aligned with COP27 commitments: enforcing stricter CO₂ emissions regulations to meet SDG-13 (Climate Action), increasing investments in renewable energy and transitioning to green energy to achieve SDG-07 (Affordable and Clean Energy), supporting green innovation and enhancing R&amp;D for SDG-09 (Industry, Innovation, and Infrastructure), promoting circular economy practices and sustainable production for SDG-12 (Responsible Consumption and Production), and expanding green finance mechanisms to facilitate sustainable economic growth and development. Additionally, the study advocates for international collaboration on green technology transfer, greater financial incentives for green investments, and strengthening the role of governments in integrating sustainability into economic and policy frameworks, in line with the global commitment to carbon neutrality by 2060.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102826"},"PeriodicalIF":10.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103614","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":"Towards smart, digitalised rural regions and communities – Policies, best practices and case studies","authors":"Pekka Leviäkangas ,&nbsp;Signe Sønvisen ,&nbsp;Diego Casado-Mansilla ,&nbsp;Marius Mikalsen ,&nbsp;Andrea Cimmino ,&nbsp;Anastassios Drosou ,&nbsp;Shahid Hussain","doi":"10.1016/j.techsoc.2025.102824","DOIUrl":"10.1016/j.techsoc.2025.102824","url":null,"abstract":"<div><div>Rural communities and regions face specific challenges in terms of thin markets, low population density, and long distances. Also, the demographics of these communities are often skewed towards the elderly, and the socioeconomics is characterized by higher share of low-income populations. While the concept of urban smart communities is quite well established, such as Smart Cities, the concept of smart rural region communities is only beginning to gain scholarly attention. Smart rural communities can be understood as rural areas and communities that build on their existing strengths and assets as well as on developing new opportunities based on the aforementioned. Traditional and new networks and services can be improved by utilizing digital telecommunication technologies, innovations, and better use of data and knowledge to benefit the communities. Investing in both physical and digital connectivity, and building digital environments for innovative services, economic sustainability, jobs, and social capital can be enhanced, thus contributing to active and live rural communities. Consequently, the development of smart rural communities and regions begins to emerge in research. What is becoming evident is that achieving the ambitions of smart rural communities requires not only digital technologies but also innovation of commercial and social services, as well as better digital capabilities and skills to bridge the existing – and in places the widening - divide between rural and urban communities.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102824"},"PeriodicalIF":10.1,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blurring the boundaries between living and non-living? Examining and mapping the living properties of engineered matter and systems","authors":"Andrés Díaz Lantada ,&nbsp;Louisa Estadieu ,&nbsp;Michael Gorki ,&nbsp;Philipp Höfele ,&nbsp;Monsur Islam","doi":"10.1016/j.techsoc.2025.102822","DOIUrl":"10.1016/j.techsoc.2025.102822","url":null,"abstract":"<div><div>This study revisits the long-going discourse concerning the distinction between living and non-living matter, specifically focusing on living and non-living synthetic materials and engineering creations. As the distinctions between these two categories become increasingly blurry, it becomes imperative to investigate the emerging field of “quasi-living” materials, structures, devices, and systems. The central objective here is to systematically compile and assess these contemporary quasi-living entities by mapping their life-like properties, as described in recent influential studies. To this end, this study first examines and compares the commonly accepted properties of life, culminating in an operative list of salient features from an engineering perspective. The quasi-living materials, structures, devices, and systems are methodically classified, elucidating their properties of life, considering both current state-of-the-art achievements and foreseeable advancements in short and medium terms. This assessment leads to a final discussion about the current frontiers between abiotic and living matter and their anticipated evolution, while addressing the ethical, legal, and societal actions, essential for the safe, beneficial, and sustainable research in these areas. The comprehensive study yields three main outcomes: a classification for identifying and addressing societal and ethical challenges, a preliminary legislative roadmap highlighting exemplary practices, and a set of urgent research directions demanding immediate attention from the research community.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102822"},"PeriodicalIF":10.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143274572","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":"Societal implications of bioinspired technologies: Introduction to the special issue","authors":"Philipp Höfele ,&nbsp;Louisa Estadieu ,&nbsp;Oliver Müller ,&nbsp;Lore Hühn ,&nbsp;Andrea Kiesel","doi":"10.1016/j.techsoc.2025.102823","DOIUrl":"10.1016/j.techsoc.2025.102823","url":null,"abstract":"<div><div>This Special Issue seeks to introduce a broad range of bioinspired technologies and provides an overview of the challenges regarding sustainability, ethical responsibility and societal acceptance. It adopts both a narrow and broad understanding of bioinspired technology. In a narrower sense, it refers to technologies that mimic natural forms, structures, or functional principles, typically developed within the field of biomimetics. More broadly, bioinspired technologies are defined as those designed with human or non-human nature in mind and adapted to meet the needs of both. The Special Issue addresses five key questions: First, it asks how the broad spectrum of bioinspired technologies can be categorized and classified. Second, it explores the extent to which bioinspired technologies contribute to a sustainable future and in particular to the development of sustainable technologies and what criteria can be used to ensure the sustainability of bioinspired technologies. Third, it presents methods for investigating and fostering societal acceptance of new bioinspired technologies. Fourth, central technical and societal areas are considered in which bioinspiration can contribute to a sustainable future. Lastly, it explores the ontological and ethical challenges associated with bioinspired technologies in so far as they undermine the previous distinction between ‘nature’ and ‘technology’.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102823"},"PeriodicalIF":10.1,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103612","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":"Use of exclusive data for corporate research on machine learning and artificial intelligence: Implications for innovation and competition policy","authors":"Seokbeom Kwon ,&nbsp;Alan L. Porter","doi":"10.1016/j.techsoc.2025.102820","DOIUrl":"10.1016/j.techsoc.2025.102820","url":null,"abstract":"<div><div>Corporate research has been a primary driver of recent advances in Machine Learning and Artificial Intelligence (ML/AI). The present study contends that firms' prominent role in advancing the ML/AI research field is partly attributed to their use of exclusive data for ML/AI research. Using data on nearly 8000 preprints of ML/AI research papers archived in arXiv and the performance of their proposed algorithms, we found multifaceted evidence that corporate ML/AI research has exhibited a particularly significant citation impact compared to non-corporate research. Importantly, we showed that the significance of corporate research is more pronounced when it originates from the use of exclusive data. We argue that firms' use of exclusive data has been instrumental in not only encouraging their research on ML/AI, but also enhancing the research impact, which we call the “dual role” of the data in corporate research on ML/AI. In light of the policy concern regarding the potential anticompetitive implications of firms' utilization of data exclusivity in the evolving landscape of ML/AI, our conclusion calls for a comprehensive policy discourse on the consequences of firms' exclusive use of data for their ML/AI research within broader dimensions of societal welfare, including innovation and competition.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102820"},"PeriodicalIF":10.1,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170938","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":"Return on values of hydrogen energy transitions: A perspective on the conceptual framework","authors":"M.A. Hannan ,&nbsp;Mahendhiran S. Nair ,&nbsp;Pervaiz K. Ahmed ,&nbsp;Santha Vaithilingam ,&nbsp;Safat B. Wali ,&nbsp;M.S. Reza ,&nbsp;Sayem M. Abu ,&nbsp;Pin Jern Ker ,&nbsp;R.A. Begum ,&nbsp;Hwai Chyuan Ong ,&nbsp;Denny K.S. Ng ,&nbsp;Gilsoo Jang","doi":"10.1016/j.techsoc.2025.102821","DOIUrl":"10.1016/j.techsoc.2025.102821","url":null,"abstract":"<div><div>Global warming poses a significant threat to the planet, driven largely by carbon emissions from fossil fuels. Despite international commitments and efforts to reduce carbon emissions, current initiatives have fallen short of achieving the targets set. Recognizing this gap, the transition to hydrogen energy (HE) as an alternative to fossil fuel emerges as an essential and transformative strategy for achieving emission reduction goals and securing a sustainable energy solution. This study introduces a novel, value-based approach with the primary aim of creating a sustainable HE ecosystem framework that spans three pillars-economic, social, and environmental, aligned with the United Nations Sustainable Development Goals (UN-SDGs). This new framework called the 8R-8I ROV framework introduces the notion of return-on value (ROV) using 8R nature-based value and 8I enablers within the hydrogen energy ecosystem. The study provides a comprehensive characterization of the enablers required for a robust HE ecosystem. These enablers are necessary for ensuring both tangible and intangible outcomes across the three pillars, consequently enhancing value creation for all stakeholders. Through this analysis, the study provides insights into the pivotal role of the enablers within the HE ecosystem, facilitating this transition, and ultimately contributing to the achievement of sustainable development goals.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102821"},"PeriodicalIF":10.1,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170435","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}