{"title":"Exploring obstacles to the use of unmanned aerial vehicles in emergency rescue: A BWM-DEMATEL approach","authors":"Tao Li, Liguo Fei","doi":"10.1016/j.techsoc.2025.102863","DOIUrl":"10.1016/j.techsoc.2025.102863","url":null,"abstract":"<div><div>With science and technology developments, unmanned aerial vehicle (UAV) applications in emergency rescue has attracted increasing attention. However, despite their significant advantages, UAVs encounter multiple obstacles in practical applications. Using a hybrid of the best-worst method (BWM) and decision testing and evaluation laboratory (DEMATEL) method (BWM-DEMATEL), this study systematically identifies and analyzes the key obstacles affecting UAV use in emergency rescue. First, through literature review and expert interviews, an obstacle factor system is established comprising six primary indicators: technical limitations, operation and training, law and regulations, environmental adaptability, cost and resources, social acceptance, and ethics. Then, BWM is used to screen the primary and secondary indicators, and a new indicator system is determined for the next step. Next, the causal relationship between the obstacles is analyzed using the DEMATEL method, which reveals the internal structure and interactions between obstacles. The results show that technical limitations, operation and training, law and regulations, and cost and resources are the four most important primary indicators. Essentially, these are the key factors hindering the wide application of UAVs in emergency rescue. Finally, some suggestions and strategies are proposed to provide theoretical support and practical guidance for more efficient UAV applications in emergency rescue.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102863"},"PeriodicalIF":10.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628582","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":"Wave energy technology development in Ireland: Employing the triple helix model of innovation for pragmatic policy interventions","authors":"C.A. Barry, J.V. Ringwood","doi":"10.1016/j.techsoc.2025.102872","DOIUrl":"10.1016/j.techsoc.2025.102872","url":null,"abstract":"<div><div>Irish wave energy technology holds significant economic potential and could be developed to establish an indigenous industry that addresses the global need for a diverse, robust, and reliable renewable energy system comprising a mix of modalities. While wave energy technology has not yet reached commercial viability, it could achieve it with adequate support facilitated by targeted public policy. It is clear that divergent stakeholder perspectives need to be considered when formulating policies, allowing for alternatives to be found, assumptions to be tested, and trust in government actions to be built. This is particularly pertinent for emerging renewable energy technologies such as wave energy, due to the interdependency between developers, policymakers, and researchers at early technology readiness levels. This study applies the triple helix innovation methodology to the wave energy technology sector within an Irish context, providing a framework within which often disparate stakeholder perspectives can be gathered and analysed, and consensus can be found. This consensus can influence pragmatic policy developments for innovation. The study also provides empirical evidence of the need for supportive policy development for wave energy technology in Ireland.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102872"},"PeriodicalIF":10.1,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637653","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}
Xiangan Ding , Andrea Appolloni , Mohsin Shahzad , Yue Liu , Shaojie Han
{"title":"Digital transformation and total factor productivity in manufacturing firms: Evidence of corporate public responsibilities in China","authors":"Xiangan Ding , Andrea Appolloni , Mohsin Shahzad , Yue Liu , Shaojie Han","doi":"10.1016/j.techsoc.2025.102874","DOIUrl":"10.1016/j.techsoc.2025.102874","url":null,"abstract":"<div><div>Fulfilling corporate public responsibilities to employees is crucial for sustainable social development. The impact of digital transformation on total factor productivity (TFP) about these responsibilities remains unclear. Taking Chinese manufacturing companies as the research sample, empirical analyses including fixed effect model, propensity score matching, and staggered Differences-in-Differences methods have demonstrated that digital strategy can boost manufacturing companies' TFP. Further, stepwise regression analysis of the mechanisms revealed that while the transformation primarily boosts productivity directly, it also indirectly boosts TFP by reinforcing employee and public responsibilities. These findings suggest that maintaining responsibilities to employees and the public during digital transformation can enhance corporate productivity. This study sheds light on how digital technology drives corporate social responsibility for sustainable social development.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102874"},"PeriodicalIF":10.1,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680180","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":"AI capability and environmental sustainability performance: Moderating role of green knowledge management","authors":"Sachin Kumar , Vinod Kumar , Ranjan Chaudhuri , Sheshadri Chatterjee , Demetris Vrontis","doi":"10.1016/j.techsoc.2025.102870","DOIUrl":"10.1016/j.techsoc.2025.102870","url":null,"abstract":"<div><div>The capabilities of AI may not only foster green technology innovations but also enhance the environmental sustainability performance of organizations. Despite this, the interplay between AI capabilities, green technology innovations, and environmental sustainability performance largely remain unexplored in view of green knowledge management. The present study aims to fill this gap by examining the impact of AI capabilities on green technology innovations and ultimately on environmental sustainability performance. This study also examines how green technology innovations mediates between AI capabilities and environmental sustainability performance, and how green knowledge management moderates the relationships between AI capabilities and green technology innovations and between AI capabilities and environmental sustainability performance. To validate the proposed conceptual relationships, data were collected from IT companies of Pune, India from 237 respondents, and they were validated with PLS-SEM 3.0 software. The results of the present study contribute theoretically to the resources-based view, knowledge-based view, dynamic capability, and absorptive capacity theories. Moreover, this study has also contributed practically by revealing the potential of AI capabilities and green technology innovations to enhance environmental sustainability performance through green knowledge management. The insights of the study could also help managers to leverage the AI capabilities to enhance green technology innovations and to improve environmental sustainability performance of organizations.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102870"},"PeriodicalIF":10.1,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628581","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 impact of international technology spillovers on digital inequality in China","authors":"Wei Feng, Hang Yuan","doi":"10.1016/j.techsoc.2025.102864","DOIUrl":"10.1016/j.techsoc.2025.102864","url":null,"abstract":"<div><div>China's digital economy faces development bottlenecks caused by digital inequality. Does a region's ability to absorb international technology spillovers affect its digital divide? Using development data from 271 prefecture-level and above cities in China from 2014 to 2020, we employ a fixed-effects model to empirically examine the characteristics and mechanisms of international technology spillovers that affect digital inequality. We find that international technology spillovers through the import channel and outward foreign direct investment (OFDI) can widen digital inequality. Specifically, international technology spillovers through the import channel amplify digital inequality by expanding the inequality in economic growth and infrastructure, while those through the OFDI channel exacerbate it by expanding inequality in fiscal revenue and financial development. Cities across different economic regions, administrative levels, and resource endowments experience varied impacts of international technology spillovers on digital inequality. We also conduct robustness checks using the instrumental variable method and further explore spatial correlation using Spatial Durbin Model (SDM), Spatial Autoregressive Model (SAR), and Spatial Error Model (SEM). These findings enrich the study of digital inequality through the lens of international technology spillovers and encourage China to address the digital divide by fostering regional economic coordination.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102864"},"PeriodicalIF":10.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621145","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}
M. Sprajcer, M. Muchinguri, G.E. Vincent, A. Naweed
{"title":"How will the public respond to in-vehicle fatigue detection technology?","authors":"M. Sprajcer, M. Muchinguri, G.E. Vincent, A. Naweed","doi":"10.1016/j.techsoc.2025.102869","DOIUrl":"10.1016/j.techsoc.2025.102869","url":null,"abstract":"<div><div>Fatigue detection technology (FDT) uses physiological, behavioural and/or performance data to detect and mitigate fatigue-related risks, typically in drivers. As an emerging technology, its application has tended to concentrate on the organisational and industrial context of professional driving. However, FDT is evolving towards general consumer vehicle integration, and understanding how the public may react to it is important for identifying potential issues and ensuring its design enhances road safety in both concept and practice. Six semi-structured focus groups were conducted with Australian road users (n = 23) to understand factors impacting FDT acceptance and uptake, in addition to identifying potential implications for policy and practice. Thematic analysis identified a total of 10 factors across the individual and broader system levels. Findings suggest that the public has ambivalence towards FDT, holding strong positive and negative views. While firm beliefs were held about the potential safety benefits of FDT, individual-level challenges associated with data privacy, the everyday user experience, and accuracy of the technology were identified. Moreover, system-level factors, such as the regulatory landscape and built environment were seen as potentially impacting acceptance and uptake. Notably, many of the beliefs held may not wholly reflect the capabilities of the technology or regulatory practices. Regulatory agencies may need to consider public education about the usage and capabilities of FDT for it to be accepted by consumers, in addition to establishing clear guidance and regulation around use.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102869"},"PeriodicalIF":10.1,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628732","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}
Joao Pedro Ferreira dos Santos , Celso Augusto de Matos , Aleš Groznik
{"title":"The role of artificial intelligence in smart city systems usage: drivers, barriers, and behavioural outcomes","authors":"Joao Pedro Ferreira dos Santos , Celso Augusto de Matos , Aleš Groznik","doi":"10.1016/j.techsoc.2025.102867","DOIUrl":"10.1016/j.techsoc.2025.102867","url":null,"abstract":"<div><div>Smart city and smart home systems are among the most impactful technological advancements of recent years, offering innovative solutions while also presenting new challenges for businesses and society. This study aims to investigate the antecedents (both drivers and barriers) of smart city system adoption, specifically those that incorporate artificial intelligence, and to analyse their effects on behavioral outcomes—more specifically, well-being and individual impact. The proposed model was tested using structural equation modelling with data from a survey of 211 individuals in Portugal. The main findings indicate that ubiquity and gamification were the most influential drivers of smart city system adoption. Conversely, perceived risks associated with these systems hindered their adoption. Additionally, our study demonstrated that trust significantly interacts with empowerment, perceived risk, and usage intention. Finally, usage intention was found to have a positive impact on well-being and individual outcomes in daily life.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102867"},"PeriodicalIF":10.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576772","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}
Joan Torrent-Sellens, Mihaela Enache-Zegheru, Pilar Ficapal-Cusí
{"title":"Twin transitions or a meeting of strangers? Unravelling the effects of AI and innovations on economic, social and environmental MSMEs sustainability","authors":"Joan Torrent-Sellens, Mihaela Enache-Zegheru, Pilar Ficapal-Cusí","doi":"10.1016/j.techsoc.2025.102866","DOIUrl":"10.1016/j.techsoc.2025.102866","url":null,"abstract":"<div><div>This research seeks to expand understanding of the twin transition -digital transformation and socio-economic and environmental sustainability-in firms by examining the impact of a specific digital technology family (artificial intelligence-based technological systems, AITS) and a comprehensive view of innovation encompassing their economic, social, and environmental dimensions. While increasing evidence highlights the influence of AITS on innovation and various economic and firm results, there is a notable gap of studies exploring the social, economic, and environmental sustainability pathways arising from the interplay between AITS usage and different types of innovation. This paper aims to address this gap. Additionally, the study investigates the moderating effects of the digital innovation strategy on the relationship between AITS and sustainability. Using a large, representative sample of 12,326 micro, small, and medium-sized enterprises (MSMEs) across 29 European Union countries in 2020, and employing structural equation modelling with partial least squares (PLS-SEM), the research identifies multiple social, economic, and environmental sustainability pathways. The results indicate that economic innovation serves as a key driver of sustainability across all dimensions, positively mediated by environmental and social innovation and the adoption of AITS. Nevertheless, is particularly relevant the finding of a substitution effect between the digital and socio-environmental transitions. For European MSMEs, the digital strategy exerts a negative moderating effect on the relationship between AITS and social and environmental sustainability. The study also uncovers other heterogeneous pathways based on firm size.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102866"},"PeriodicalIF":10.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593274","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 does digital transformation drive green technology M&A under the carbon cap and trade policy?","authors":"Bo Wang , Siyu Gong","doi":"10.1016/j.techsoc.2025.102868","DOIUrl":"10.1016/j.techsoc.2025.102868","url":null,"abstract":"<div><div>Green technology mergers and acquisitions (GTMA) is a key strategic choice for enterprises' green transformation. But due to difficulties in evaluation, complex post-merger integration, and challenging compliance and risk management, enterprises need two prerequisites before implementation: opportunities and solutions. Among these, the carbon cap and trade policy (CCTP) provides businesses with economic opportunities to explore added value from green technologies. Digital transformation (DT), on the other hand, offers solutions by integrating internal resource management and increasing information transparency. However, the existing literatures overlook the necessity of this complex perspective in the implementation of GTMA strategy. Thus, based on institutional theory and Resource Based View, this paper takes Chinese listed enterprises’ GTMA practices from 2009 to 2021, uses difference-in-differences and moderating variable methods to explore: whether CCTP offers opportunities for GTMA and if DT can solve GTMA problems and its mechanism. Findings show CCTP and DT are prerequisites driving GTMA, and their synergy is crucial. DT-empowered internal control and environmental information disclosure are vital to overcome GTMA challenges. Also, this prerequisite combination is affected by enterprise scale, state-owned, and R&D capabilities.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102868"},"PeriodicalIF":10.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593273","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 impact of cyber-attacks on different dimensions of cryptocurrency markets","authors":"Muhammad Umar","doi":"10.1016/j.techsoc.2025.102865","DOIUrl":"10.1016/j.techsoc.2025.102865","url":null,"abstract":"<div><div>Cryptocurrency has recorded tremendous growth in their value in recent years which has attracted the attention of investors, policy makers, academicians and especially hackers. Since cryptocurrencies operate in cyberspace, they are frequently targeted by hackers aiming to rob crypto investors. So, this study explores how cyber-attacks affect cryptocurrency price, return and liquidity. The daily data regarding all these variables ranges from June 1, 2020, to August 3, 2021. The results of multiple linear regression with categorical independent variable and quantile regression show that cryptocurrency price is not affected by cyber-attacks. However, cyber-attacks on crypto exchanges result in loss for investors but cyber-attacks on other assets enhances cryptocurrency value. Furthermore, cyber-attacks on cryptocurrency do not affect their liquidity but the overall cyber-attacks enhance cryptocurrency liquidity. These findings suggest that crypto investors should not panic in the wake of cyber-attacks on cryptocurrency markets. Policy makers should view cryptocurrencies as assets having safe heaven properties to make better policies.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102865"},"PeriodicalIF":10.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576758","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}