Technology in Society最新文献

{"title":"Can cluster analysis enrich the innovation resistance theory? The case of mobile payment usage in Italy","authors":"Giulia Spinelli ,&nbsp;Luca Gastaldi ,&nbsp;Leo Van Hove ,&nbsp;Ellen Van Droogenbroeck","doi":"10.1016/j.techsoc.2024.102729","DOIUrl":"10.1016/j.techsoc.2024.102729","url":null,"abstract":"<div><div>Mobile payments provide several benefits, for consumers and merchants alike. Yet, on a worldwide scale their usage is still low. Also, the barriers to mobile payment usage are still a rather unexplored topic in the literature, which is instead focused on adoption behavior. Accordingly, our objective is to investigate the factors that hinder, respectively, mobile payment usage and intention to use by consumers. The theoretical framework for our analysis integrates the Technology Readiness Index (TRI) into the Innovation Resistance Theory (IRT). To empirically assess the model, we gathered data on mobile payment usage in Italy through a web-based survey among 1,795 consumers. For the full sample, we find that the impact of the IRT barriers is different for actual use and behavioral intention to use. Also, and most importantly, once we segment consumers based on their TRI, we find yet other results. Specifically, the impact of the IRT barriers is different across the proposed clusters. This confirms that cluster analysis does indeed add value to the IRT.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102729"},"PeriodicalIF":10.1,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417744","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":"Forecasting the evolution of urban mobility: The influence of anthropomorphism and social responsiveness in the transition from human to automated driving","authors":"Min Wu ,&nbsp;Kum Fai Yuen ,&nbsp;Kevin X. Li","doi":"10.1016/j.techsoc.2024.102727","DOIUrl":"10.1016/j.techsoc.2024.102727","url":null,"abstract":"<div><div>The transition to automated driving has prompted efforts to anthropomorphize urban transportation, aiming to replicate traditional driver-pedestrian interactions and enhance safety when human drivers are absent. However, prior research on anthropomorphism has shown inconsistency, potentially hindering its practical implementation in pedestrian-vehicle interactions. This study addressed these inconsistencies by examining the contingent role of social responsiveness. Using a 2 × 2 between-subjects experimental design, this study investigated the crossover interaction effects of anthropomorphism and social responsiveness on pedestrian-vehicle interactions at urban crossings. Two sequential studies were conducted: Study 1 examined the crossover interaction effects on cognitive factors and behavioral consequences (responsibility attribution and behavioral intention). Study 2 delved into the underlying mechanisms and contingencies of these interactions. Results reveal: (1) combining anthropomorphism and social responsiveness is crucial for effective pedestrian crossing and communication in the absence of human drivers; (2) the positive effects of this combination on responsibility attribution and behavioral intention are mediated by cognitive factors; and (3) non-responsive humanoid vehicles may not measure up to non-responsive, non-humanoid vehicles, yet responsive humanoid vehicles can outperform responsive, non-humanoid vehicles. These findings support the theory and guide the development of secure, interactive designs for the next generation of urban mobility in the transition to automated driving.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102727"},"PeriodicalIF":10.1,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417866","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 power of electronic Word of Mouth in inducing adoption of emerging technologies","authors":"Dušan Mladenović ,&nbsp;Roberto Bruni ,&nbsp;Raffaele Filieri ,&nbsp;Elvira Ismagilova ,&nbsp;Prateek Kalia ,&nbsp;Michal Jirásek","doi":"10.1016/j.techsoc.2024.102724","DOIUrl":"10.1016/j.techsoc.2024.102724","url":null,"abstract":"<div><div>This study examines the influence of electronic Word-of-Mouth (eWOM) on consumer expectations and intentions to adopt emerging technologies, specifically focusing on cryptocurrency payment methods. Employing the Elaboration Likelihood Model (ELM), the research utilizes Partial Least Squares Structural Equation Modeling (PLS-SEM) and Multi-Group Analysis (PLS-MGA) to analyze data from a diverse sample of 505 respondents sourced from MTurk. The findings reveal that the quality, consistency, and volume of eWOM significantly shape consumer expectations. Notably, the two-sidedness of online reviews does not have any substantial impact on both expectations and adoption behaviors toward cryptocurrency payment methods. Furthermore, factors such as the time spent online, and the frequency of online shopping were found to partially moderate the effects of eWOM on adoption behavior. This research contributes pioneering insights into the role of eWOM in influencing consumer attitudes towards cutting-edge technologies, extending existing knowledge beyond traditional consumer decisions to include technological adoption, particularly in digital finance. This offers valuable implications for technology firms and digital marketers aiming to harness eWOM to promote new technological solutions.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102724"},"PeriodicalIF":10.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417863","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 AI perform in industry chain? A patent claims analysis approach","authors":"Xuefeng Zhao ,&nbsp;Weiwei Wu ,&nbsp;Delin Wu","doi":"10.1016/j.techsoc.2024.102720","DOIUrl":"10.1016/j.techsoc.2024.102720","url":null,"abstract":"<div><div>The development trajectory of AI within the industry chain can offer valuable insights for managers and policymakers. Because the industry chain includes multiple complex nodes, it becomes difficult to showcase the subtle changes in AI at each node. Since patent claims are authoritative legal documents describing technology, we first theoretically demonstrate that integrating them with deep learning can effectively reveal the development of AI within complex nodes. And then, based on claim types and dependencies, we construct a more robust AI Recognition Multiple Attention Mechanism (A&amp;C-Mechanism). Finally, using the battery industry chain (BIC) as a case study, the A&amp;C-Mechanism reveals differences in AI development within the industry chain: (1) The A&amp;C-mechanism can calculate the adjustment weights of patent claims based on variations in claim types and dependencies. Therefore, integrating the A&amp;C-mechanism into NLP models can enhance the models' robustness and sensitivity to the nuanced variations of AI within patent claims; (2) Based on the A&amp;C mechanism, our analysis indicates that AI indeed drives technological upgrades within four BIC nodes of mineral resource extraction (MRE), raw material processing (RMP), finished product manufacturing (FPM), usage, and recycling (UR). However, there is a phenomenon of non-uniform AI development emerging across these nodes; (3) Analyzing the patent application volume and growth rates across the four nodes, we identify that AI development progresses through distinct stages within the industrial chain: early, mid-term, and improvement. With the establishing two coefficients, the AI claim dependency variation coefficient and the AI-NE variation coefficient, we demonstrate that each stage exhibits unique characteristics. AI is used directly in the early stages. As the mid-term stage approaches, AI starts to be optimized and enhanced. During the improvement stage, AI structures, procedures, etc., are adaptively adjusted to better serve each company's goals; (4) Constructing an interaction network of AI with the four nodes based on high-frequency AI named entities within patent claims, we discover that AI development within the industrial chain exhibits iteration and continuity. Moreover, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) remain the cornerstone, serving as the foundation upon which many cutting-edge technologies are built. Digital image processing and machine learning enhance problem-solving across multiple nodes. We discuss our findings and derive implications for research, managers and policymakers.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102720"},"PeriodicalIF":10.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417864","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":"(Not) in my city: An explorative study on social acceptance of photovoltaic installations on buildings","authors":"Angela Zhou ,&nbsp;Roland Thomaschke ,&nbsp;Andreas Wessels ,&nbsp;Stefan Glunz ,&nbsp;Thomas Speck ,&nbsp;Andrea Kiesel","doi":"10.1016/j.techsoc.2024.102725","DOIUrl":"10.1016/j.techsoc.2024.102725","url":null,"abstract":"<div><div>Existing buildings provide high surface potential for photovoltaic (PV) installations. When deciding whether a building is suitable for solar energy harvesting, social acceptance needs to be considered. While PV is accepted in general, research regarding the acceptance of PV for specific types of buildings is sparse. In two explorative studies, we investigated the building-specific acceptance of PV installations, taking new PV module designs into account.</div><div>The aim of the first study (N = 76, passersby in the Botanical Garden, Freiburg i. Br. Germany who volunteered to participate) was to investigate which PV module designs are accepted for different buildings. Six different PV crystalline silicon module prototypes varying in color and surface structure were presented on an exhibition table. Using a paper-pencil-survey, participants rated the modules and combined them with presented buildings. Results show that depending on the building, different modules were favored whereby PV modules were chosen mostly due to color integration.</div><div>In a second study (N = 109, recruited from the participant pool of the institute of psychology, University of Freiburg, Germany, mostly students, and in social media), participants indicated their acceptance of a PV installation for 24 different buildings in an online survey. Results revealed that social acceptance for PV installations on buildings was generally high and was even higher if the PV module was aesthetically integrated or invisibly. PV modules on historical buildings (including a church) were less accepted than on modern buildings. Yet for invisible PV modules, there were no acceptance differences between buildings. Building variables were found to be more important to predict building-specific acceptance than person-related variables such as environmental concerns, values or political attitude.</div><div>Taken together, the study gives a first insight into the subject of the social acceptance of urban PV installations. Results underline the importance of aesthetic integration and (in)visibility for PV installation on buildings.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102725"},"PeriodicalIF":10.1,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528561","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":"Enhancing sustainable development through Spatiotemporal analysis of Ramsar wetland sites in South Asia","authors":"Manish Kumar Goyal ,&nbsp;Shivukumar Rakkasagi ,&nbsp;Rao Y. Surampalli ,&nbsp;Tian C. Zhang ,&nbsp;Saikumar Erumalla ,&nbsp;Abhijeet Gupta ,&nbsp;Saket Dubey ,&nbsp;Chalida U-tapao","doi":"10.1016/j.techsoc.2024.102723","DOIUrl":"10.1016/j.techsoc.2024.102723","url":null,"abstract":"<div><div>The ecological significance of wetlands makes it imperative to study changes in their inundation extent and propose necessary conservation measures. Monitoring wetland dynamics and implementing strategies to protect these essential ecosystems is crucial for maintaining the balance of natural systems. This study used pre-processed Landsat imagery (1991–2020) to generate yearly composites and produce inundation maps based on an automated Short-Wave Infrared thresholding technique within the Google Earth Engine platform. The analysis was executed on individual wetlands to describe their typical condition owing to regional climatic and geographical circumstances. The Mann-Kendall test was used to understand the trends in the change of inundation extent. The thresholding method achieved an overall accuracy of 89.0 %, with average dry and wet Producer's accuracies of 90.6 % and 86.6 %, respectively. The accuracy was higher for open water lakes compared to wetlands with complex vegetation dynamics. The trend analysis revealed that 46 sites follow an increasing trend, while the remaining 43 sites were found to be decreasing. Among these 43, 12 sites were found to be significantly decreasing, with the Upper Ganga River showing a maximum decrease of about 59 % in the inundation extent. Factors such as elevation, precipitation, temperature, and climate type were found to influence the trends in wetland inundation. Wetlands at high altitudes (&gt;4000 m) and those receiving less than 500 mm of annual precipitation were more likely to exhibit decreasing trends. Coastal wetlands showed varying trends, with five increasing and three significantly increasing. The findings of this study provide valuable insights into the relationship between sustainable development and wetland conservation, supporting the Ramsar Convention's goals and the UN's Sustainable Development Goals. The individualized analysis of Ramsar sites enables the development of localized management strategies, climate change adaptation, and informed policy-making, ultimately contributing to the sustainable use of these critical ecosystems in South Asia.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102723"},"PeriodicalIF":10.1,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417861","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":"Acceptance of AI-powered facial recognition technology in surveillance scenarios: Role of trust, security, and privacy perceptions","authors":"Hyesun Choung ,&nbsp;Prabu David ,&nbsp;Tsai-Wei Ling","doi":"10.1016/j.techsoc.2024.102721","DOIUrl":"10.1016/j.techsoc.2024.102721","url":null,"abstract":"<div><div>The study examines the roles of various layers of trust, as well as privacy and security concerns, in shaping the acceptance of AI-powered facial recognition technology (FRT) in three surveillance scenarios—public spaces, hospitals, and schools. Based on survey data from 575 U S. participants, we found that the context in which FRT is deployed shapes people's perceptions and acceptance of the technology. People perceived greater safety gains in schools and greater privacy risks in public spaces. Trust in officials, familiarity with FRT, and perceived security benefits positively predicted acceptance, while distrust and perceived privacy risks negatively predicted acceptance. These findings offer insights for stakeholders of FRT, policymakers, and organizations that seek to implement AI-powered surveillance, emphasizing the need to address public trust and privacy concerns.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102721"},"PeriodicalIF":10.1,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314618","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":"Does participatory research stimulate sustained adoption of energy technologies? Lessons from stove dissemination in Gurué district, rural Mozambique","authors":"Custodio Efraim Matavel ,&nbsp;Harry Hoffmann ,&nbsp;Harald Kaechele ,&nbsp;Katharina Löhr ,&nbsp;Michelle Bonatti ,&nbsp;Harison K. Kipkulei ,&nbsp;Hamza Moluh Njoya ,&nbsp;Jonas Massuque ,&nbsp;Stefan Sieber ,&nbsp;Constance Rybak","doi":"10.1016/j.techsoc.2024.102722","DOIUrl":"10.1016/j.techsoc.2024.102722","url":null,"abstract":"<div><div>Research on energy transition to clean cooking suggests that the use of participatory approaches to design and evaluate the project impacts results in sustained adoption, user satisfaction, and continuous knowledge exchange between scientists and local stakeholders. However, the results of participatory approaches are mixed, and studies on long-term effects are rather scarce. This study uses an experimental design to test whether high stakeholder involvement in a participatory research approach is an effective tool for promoting the adoption of improved cookstoves. Data were collected from 138 participatory research participants and 448 conventional training participants. The results showed that participatory research is essential to stimulate early adoption, but is not sufficient to sustain adoption over time. Based on the results, we conclude that organizations implementing stove programs should not only consider strategies to encourage deep participation of potential beneficiaries in various stages (including planning, designing, testing, and modifying of improved cookstoves), but follow-up support should also occur. To sustain adoption, participation should be designed as a process that understands the mechanisms of unsustainable practices and the social demand for new technologies, going beyond adoption and promoting co-construction.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102722"},"PeriodicalIF":10.1,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327218","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":"Artificial intelligence and wealth inequality: A comprehensive empirical exploration of socioeconomic implications","authors":"Marinko Skare ,&nbsp;Beata Gavurova ,&nbsp;Sanja Blažević Burić","doi":"10.1016/j.techsoc.2024.102719","DOIUrl":"10.1016/j.techsoc.2024.102719","url":null,"abstract":"<div><div>This study introduces a global database on artificial intelligence (AI) capital stock and related AI indicators. Using the data constructed, we investigate the impact of AI and capital stock accumulation on wealth inequality, a dimension not extensively explored in the literature. This study contributes to the growing body of literature on the socioeconomic consequences of AI, with implications for scholars, policymakers, and corporate executives. An innovative database detailing AI capital stock is developed by incorporating data from various sources, including corporate reports, industry databases, and scholarly literature. This novel dataset, focusing on the US, the EU, and Japan from 1995 to 2020, is a critical resource for future investigations. The research methodology is centered on an extended Solow–Swan model, conceptualizing AI as a form of capital that can substitute for or complement traditional forms of labor. A panel-corrected standard errors model is used to analyze the data, accounting for potential cross-sectional dependence and heteroscedasticity. Our findings reveal a positive and statistically significant correlation between AI technology adoption, AI capital stock accumulation, and wealth disparity. The analysis further indicates a complex interaction between income and wealth disparities, suggesting a mutually reinforcing cycle. This study fills a significant gap in the existing literature by offering a novel perspective on the distributional impact of AI. Our results underscore the importance of considering the broader socioeconomic implications of AI, extending beyond considerations of immediate productivity and economic growth. This study offers valuable insights for policy formulation and business decision making, emphasizing the necessity of a comprehensive understanding of the influence of AI on wealth distribution.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102719"},"PeriodicalIF":10.1,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314511","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":"Creativity and collaborative performance of artists and STEM professionals","authors":"Ji eun Min ,&nbsp;Byung-Keun Kim","doi":"10.1016/j.techsoc.2024.102718","DOIUrl":"10.1016/j.techsoc.2024.102718","url":null,"abstract":"<div><div>This study examines the relationship between creativity and performance in collaborations between artists and STEM professionals. It investigates the antecedent factors of the creativity of artists and STEM professionals and elaborates on the performance of temporal and imperfect organizational creativity. A survey was administered to 969 Korean artists and STEM professionals, of which data on 131 respondents with experience of art and STEM collaboration were used for the empirical analysis by applying a structural equation model. The results show that an individual's intrinsic motivation, and creative personality characteristic positively influence creativity collaborative performance. Intrinsic motivation and creative personality characteristics positively influenced collaborative performance by the mediation of creativity. Our study contributes to the literature by deepening our understanding of creativity and collaboration between artists and STEM professionals, particularly in temporary and imperfect organizational creativity, which has not been addressed in existing discussions of creativity. This confirms that artists and STEM professionals have common antecedent factors of creativity, and that the coexistence of scientific and artistic creativity has a positive impact on collaborative performance.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102718"},"PeriodicalIF":10.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358938","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}