Technology in Society最新文献

{"title":"Factors affecting attitude and intention to adopt artificial intelligence for sustainable triage: An exploratory study of emergency department staff","authors":"Panzhang Wang,&nbsp;Ziyun Li,&nbsp;Lei Yu,&nbsp;Jia Jiang,&nbsp;Xin Ma","doi":"10.1016/j.techsoc.2025.102912","DOIUrl":"10.1016/j.techsoc.2025.102912","url":null,"abstract":"<div><div>Emergency departments (EDs) are facing increasing overcrowding, which can be mitigated by implementing AI-based self-check-in systems that save registration time and alleviate nursing workload. To that end, triage staff must adapt to the changes and adopt an augmented approach. This exploratory study investigates the key factors influencing triage nurses' attitudes and intentions towards adopting this new paradigm. Utilizing SmartPLS, a structural equation modeling technique based on partial least squares, we examined several factors that impact staff's attitude and intention. Our results indicate that task-technology fit has a significant positive impact on staff's attitude, followed by facilitating conditions and perceived explainability. Notably, perceived substitution crisis negatively influences behavioral intention and moderates the relationship between attitude and behavioral intention. This study makes a valuable contribution to existing literature by providing insights into the factors influencing ED staff's attitudes and intentions towards augmented triage intelligence. The findings have significant implications for healthcare policymakers and practitioners seeking to improve triage practices and ensure sustainability in EDs.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102912"},"PeriodicalIF":10.1,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877392","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":"Time-frequency dependence and dynamic linkages between digital economy and education markets","authors":"Wang Gao","doi":"10.1016/j.techsoc.2025.102907","DOIUrl":"10.1016/j.techsoc.2025.102907","url":null,"abstract":"<div><div>This study utilizes a comprehensive analytical framework, incorporating both time and frequency domain methodologies, to investigate the complex interdependencies between the digital economy and the education market. The evaluation encompasses several critical dimensions, including return, volatility, and liquidity interconnectedness. The principal findings of this research are as follows: (1) There is a substantial co-dependence observed between the digital economy and the education sector, with a particular focus on components such as mobile internet, artificial intelligence, and big data—elements that exhibit the most pronounced linkages to educational infrastructures. Frequency domain analysis indicates that return spillover effects are potent in the short term, whereas spillovers related to volatility become increasingly significant in the long term. (2) The analysis reveals cloud computing and big data as the principal sources of spillover effects, while artificial intelligence, mobile internet, virtual reality, and online education serve as critical intermediaries. Importantly, vocational and K-12 education emerge as the primary beneficiaries of these spillover phenomena. (3) The interrelationships between the digital economy and educational markets exhibit time-varying characteristics, particularly marked by heightened fluctuations during pivotal events such as the COVID-19 pandemic and the implementation of the \"Double Reduction\" policy. Additionally, a notable strengthening of these trends has been observed after 2022. (4) The study demonstrates that assets associated with cloud computing, 5G technology, big data, artificial intelligence, and online education possess robust hedging effectiveness. The findings of this research aspire to inform educational policymakers regarding optimal resource allocation strategies, facilitate the seamless integration of digital technologies within educational frameworks, and provide strategic insights for asset investors seeking to navigate cross-market investments while enhancing risk management practices.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102907"},"PeriodicalIF":10.1,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881737","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":"Charging the soul: Tailoring five experiential marketing dimensions to harness the appeal of electric vehicles for different psychological traits","authors":"Zhao Na ,&nbsp;Nik Mohd Hazrul Nik Hashim ,&nbsp;Nakaya Kakuda ,&nbsp;Shuyang Si","doi":"10.1016/j.techsoc.2025.102902","DOIUrl":"10.1016/j.techsoc.2025.102902","url":null,"abstract":"<div><div>In this paper, we employ actor–network theory to investigate the moderating effect of consumer extroversion and introversion on the relationship between experiential marketing dimensions (sense, feel, think, act and relate) and green purchase intentions in the electric vehicle (EV) market. Drawing on service-dominant logic, we further examine the mediating role of experiential value in this relationship. To test our hypotheses, we collected questionnaire data from 510 respondents in China and analyzed them using partial least squares structural equation modeling. The results show that the five experiential marketing dimensions positively influence both experiential value and green purchase intentions, and experiential value mediates the relationship between the five dimensions and green purchase intentions. They also demonstrate the moderating effects of extroversion and introversion in the relationship between experiential marketing dimensions and experiential value. Specifically, extroversion enhances the moderating effects of the sense, act, and relate dimensions, while introversion enhances the moderating effect of the feel dimension. No significant moderating effect was found for the think dimension. This study advances traditional experiential marketing strategies for eco-friendly intention in the EV sector by introducing a novel integrated model based on actor-network theory and service-dominant logic. By incorporating consumer personality traits as a moderating factor, our model could transform EV marketing from broad, complex campaigns to highly targeted strategies based on consumer segmentation, facilitating more precise and effective allocation of marketing resources.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102902"},"PeriodicalIF":10.1,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143858993","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 role of explainable artificial intelligence (XAI) in innovation processes: a knowledge management perspective","authors":"Ilaria Mancuso ,&nbsp;Antonio Messeni Petruzzelli ,&nbsp;Umberto Panniello ,&nbsp;Federico Frattini","doi":"10.1016/j.techsoc.2025.102909","DOIUrl":"10.1016/j.techsoc.2025.102909","url":null,"abstract":"<div><div>This study investigates the role of Explainable Artificial Intelligence (XAI) in supporting knowledge management during the innovation process. While traditional AI is recognized for sustaining innovation via enhancement of different knowledge management processes, little is known about how XAI specifically impacts these processes by making AI outputs more interpretable for humans. To address this gap, we conduct a single case study on Intellico, an XAI-driven organization specializing in knowledge management solutions for innovation. The study's primary contribution is a model on how XAI facilitates knowledge management along the four creative phases of innovation, namely preparation, incubation, illumination, and verification. The findings challenge the traditional alignment between specific knowledge processes and innovation phases, offering new theoretical insights into the interplay between XAI, knowledge management, and innovation. Additionally, the study provides practical guidance for organizations willing to leverage human-XAI collaboration for innovation purposes.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102909"},"PeriodicalIF":10.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835395","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":"Data governance in metaverse: Addressing security threats and countermeasures across the data lifecycle","authors":"Maedeh Mosharraf","doi":"10.1016/j.techsoc.2025.102910","DOIUrl":"10.1016/j.techsoc.2025.102910","url":null,"abstract":"<div><div>-In the era of the Fifth Industrial Revolution, metaverse embodies a sophisticated fusion of advanced technologies, introducing a multitude of complexities and distinctive vulnerabilities. This paper undertakes a systematic review of 76 scholarly articles to explore the critical data security issues associated with the metaverse. By analyzing each phase of the data lifecycle—encompassing acquisition, storage, transfer, processing, exchange, and destruction—the study identifies key threats and evaluates corresponding mitigation strategies. A notable contribution of this research is the comprehensive categorization of threats across all lifecycle phases, highlighting vulnerabilities stemming from the cutting-edge technologies underlying the metaverse. Additionally, this study emphasizes the importance of exploring solutions within the realm of infrastructure technologies. By emphasizing data governance and safeguarding data flow throughout its lifecycle, this study significantly contributes to the ongoing discourse on metaverse security, fostering the development of a more resilient and trustworthy virtual ecosystem.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102910"},"PeriodicalIF":10.1,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838700","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":"Critical factors driving innovations and patenting in academia in S3 area “Energy and Sustainable Environment”","authors":"Zoran Aralica ,&nbsp;Ivan-Damir Anić ,&nbsp;Bruno Škrinjarić ,&nbsp;Anita Harmina ,&nbsp;Ernest Vlačić","doi":"10.1016/j.techsoc.2025.102908","DOIUrl":"10.1016/j.techsoc.2025.102908","url":null,"abstract":"<div><div>Although the role of the academic sector in boosting innovations and patenting is considered crucial for a sustainable global transition, its contribution remains low, raising the question of how to enhance researchers' performance. In this sense, this paper develops a model that explores the role of research, technology and development (RTD) projects in driving innovation output and patenting, considering the moderating effect of researchers’ collaboration with industry in the Croatian S3 thematic priority area (TPA) \"Energy and Sustainable Environment”, a topic not previously researched. The model allows for a nuanced analysis of their relationship within the innovation process by treating innovation outputs and patenting as separate constructs. Additionally, the model considers the impact of the quality of research papers and work experience as critical factors in the research process influencing researchers' success in receiving RTD projects. The study relies on data from a survey of 168 researchers active in the TPA, analysed using the PLS-SEM method. The findings reveal that innovation outcomes positively affect patenting. RTD projects positively and significantly affect patenting but not the innovation output of researchers directly. Instead, the relationship between RTD projects and innovation output is moderated by collaboration with industry. Moreover, the quality of research papers has a stronger influence on receiving RTD projects than work experience. To foster innovation and patenting, universities should promote RTD projects focusing on commercial outcomes in collaboration with industry while stimulating high-quality research.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102908"},"PeriodicalIF":10.1,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829362","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":"Corporate AI play and short term skill-biased AI change","authors":"Jacques Bughin","doi":"10.1016/j.techsoc.2025.102904","DOIUrl":"10.1016/j.techsoc.2025.102904","url":null,"abstract":"<div><div>We develop a task-based model that illustrates how skill-bias emerges in firms, either because AI competes with lower skills and/or augments more complex jobs, while the extent of bias depends both on the corporate focus on efficiency/innovation and on AI performance scope across the whole range of firm tasks. Based on those predictions, we build an empirical model of skill change across 12 categories to assess whether, and how large, short term changes in skill labor demand correlates with firms use of AI technologies in their business, in the context of AI before genAI development. While AI is skill-biased in favor of more advanced skills, the effect of AI on skill demand is usually <em>positive</em> for most skills, reflecting that early AI adopters tend to gain business against non adopting rivals. A key mediator however is how firms leverage AI; when AI is used mostly for automation, basic skills prospects become negative.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102904"},"PeriodicalIF":10.1,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868555","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 to realize digital knowledge innovation through digital technology? A perspective based on knowledge digitization and inter-organizational knowledge sharing","authors":"Qiang Cheng,&nbsp;Chun Peng,&nbsp;Huaxin Wan,&nbsp;Yuanhui Dai,&nbsp;Shuangyang Zhang","doi":"10.1016/j.techsoc.2025.102905","DOIUrl":"10.1016/j.techsoc.2025.102905","url":null,"abstract":"<div><div>This research investigates the mechanisms through which digital technology (DT) influences digital knowledge innovation (DKI), and the roles of knowledge digitization (KD) and inter-organizational knowledge sharing (IKS). The sample consists of 298 members from digital groups in China who participate in inter-organizational collaboration and collaborative innovation activities. Grounded in social interaction theory, this paper uses partial least squares structural equation modeling (PLS-SEM) to examine the relationship between digital technology, knowledge digitization, inter-organizational knowledge sharing, and digital knowledge innovation. The results show that digital technology has a significant positive effect on digital knowledge innovation. Furthermore, digital technology positively impacts digital knowledge innovation by enhancing both knowledge digitization and inter-organizational knowledge sharing. Meanwhile, knowledge digitization and inter-organizational knowledge sharing play a significant serial mediating role between the two. These findings provide guidance for organizations to utilize digital technology, promote knowledge digitization, accelerate knowledge innovation, and enhance knowledge heterogeneity and organizational competitiveness.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102905"},"PeriodicalIF":10.1,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829361","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":"Digital dynamics in technology adoption: Exploring socio-economic development through technology and education","authors":"Md. Mominur Rahman ,&nbsp;Md. Emran Hossain","doi":"10.1016/j.techsoc.2025.102906","DOIUrl":"10.1016/j.techsoc.2025.102906","url":null,"abstract":"<div><div>In an increasingly digitized world, understanding the intricate relationships between digital factors and socio-economic development is crucial for informing evidence-based policy interventions. This study examines the direct relationships between digital factors (i.e., digital infrastructure accessibility, stakeholder attitudes toward educational technology (Edu-Tech), educators' digital literacy, and e-learning integration) with community digital integration and socio-economic mobility. Additionally, it explores the indirect impact of these digital factors on socio-economic development through community digital integration and socio-economic mobility. Data were obtained from 586 sampled educators in Bangladesh and this study used a mixed-methods strategy that involved “partial least squares path modeling (PLS-PM)” for symmetrical analysis and “fuzzy set qualitative comparative analysis (fsQCA)” for asymmetrical analysis. The results indicate a significant direct relationship between digital factors and both community digital integration and socio-economic mobility. Additionally, all digital factors exhibit a significant indirect relationship with socio-economic development through community digital integration and socio-economic mobility. Furthermore, distinct causal recipes associated with socio-economic development were identified, emphasizing the need for comprehensive, context-specific interventions. Through rigorous analysis, this study provides actionable policy insights for promoting inclusive and sustainable socio-economic development via targeted digital empowerment initiatives in Bangladesh and other comparable nations.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102906"},"PeriodicalIF":10.1,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824344","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":"Measurement and evaluation of ecological niche in open innovation ecosystem based on large models","authors":"Hongying Wang ,&nbsp;Huang Xinyi ,&nbsp;Bing Sun","doi":"10.1016/j.techsoc.2025.102901","DOIUrl":"10.1016/j.techsoc.2025.102901","url":null,"abstract":"<div><div>This paper objectively and comprehensively constructs an evaluation index system for the ecological niche of open innovation ecosystem by integrating existing research. We utilize the long short-term memory network in large model methods and based on the idea of suitability model to conduct in-depth analysis of China's publicly available statistical data from 2000 to 2023. A comprehensive calculation and in-depth analysis of the ecological niche of open innovation ecosystem and basic ecological niche in 30 provincial-level administrative regions (excluding Hong Kong, Macao, Taiwan and Tibet) are carried out. The research results not only reveal the significant differences in the suitability of innovation ecological niche among different provincial-level administrative regions, but also show the complex relationship between ecological niche suitability and evolutionary momentum, as well as the different characteristics and development trends of each basic ecological niche. Compared to traditional measurement methods, the large model approach adopted in this study demonstrates significant advantages: (1) It is capable of processing massive and complex datasets, capturing the dynamic changes within innovation ecosystems; (2) By utilizing Long Short-Term Memory (LSTM) networks, it effectively addresses the vanishing gradient problem inherent in traditional RNN models, thereby enhancing prediction accuracy; (3) In conjunction with fitness models, it provides a more comprehensive assessment of the internal mechanisms and external environmental factors of innovation ecosystems. This research provides important theoretical basis and empirical support for in-depth understanding of the innovation ecosystem in various provincial-level administrative regions of China, and helps to better grasp the pattern and direction of national innovation development and provide a powerful reference for formulating scientific and reasonable innovation policies.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102901"},"PeriodicalIF":10.1,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848149","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}