Technology in Society最新文献

{"title":"Potential risk and efficiency analysis of decision-making dilemmas in connected dual-vehicle interactions at uncontrolled intersections","authors":"","doi":"10.1016/j.techsoc.2024.102734","DOIUrl":"10.1016/j.techsoc.2024.102734","url":null,"abstract":"<div><div>In dual-vehicle interactive scenarios, drivers often encounter decision-making dilemmas, even with connected information, thus posing significant risk challenges to traffic operations. This study explored the impact of such dilemmas on decision-making and traffic operations for drivers involved in straight-going (SG) and left-turning (LT) vehicles at uncontrolled intersections. Employing driving simulation technology, a decision-making experiment incorporating preemptive (P) and yielding (Y) strategies was conducted with 72 S G and 72 L T drivers under connected information provision. By analyzing joint decisions (P-P, Y-P, and Y-Y) made by drivers on both sides, we investigated implications for traffic operational safety and efficiency. Furthermore, recognizing the diversity in individual characteristics and time pressure, we developed a random parameters multinomial logit model to examine the relationship between potential traffic operational performance (both safety and efficiency) and various contributing factors. Moreover, we calculated the marginal effects of these contributing factors. By assessing the probability change of Y-P joint decisions balancing safety and efficiency, we identified reference values for each contributing factor that promote effective interactive operations. The findings suggest that: (1) Regarding interactive dilemmas conditions, Conditions where the SG vehicle had higher speed and farther distance than the LT vehicle were more likely to result in heterogeneous Y-P joint decisions, in which one driver chooses to yield and the other party passes quickly, thereby improving traffic performance. (2) Time pressure increased the likelihood of heterogeneous Y-P joint decisions but also increased P-P joint decisions. (3) heterogeneous individual attributes did not always lead to higher heterogeneous decisions. Overall, this study provides insights into factors influencing joint decisions and traffic operational performance under connected information provision, considering individual heterogeneity and time pressure, aiming to the advancement of more efficient and safer vehicle-connected transportation systems.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":null,"pages":null},"PeriodicalIF":10.1,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438468","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":"Knowledge source switching under state interventions of latecomer regions: A case study of Shenzhen","authors":"","doi":"10.1016/j.techsoc.2024.102730","DOIUrl":"10.1016/j.techsoc.2024.102730","url":null,"abstract":"<div><div>This paper aims to unpack the process and analyze the mechanisms of knowledge source switching in latecomer regions that have evolved from peripheral to core positions. Drawing on four decades of matched patent-company data from Shenzhen, we classify patents into various knowledge classifications and calculate their percentage changes to observe the dynamics of knowledge source switching. Furthermore, we employ Difference-in-Differences (DiD) estimation to examine the causal effects of state interventions on this dynamic. The findings indicate that Shenzhen's knowledge sources have switched from multinational corporations (MNCs) and foreign subsidiaries to global inventors. Notably, state interventions exhibit a significant positive causal effect on this dynamic, particularly following the implementation of independent innovation policies. These findings contribute to the cross-fertilization of regional innovation studies and the Global Production Networks (GPN) approach, highlight the critical role of the state in ensuring the right and dynamic mode of global knowledge sourcing and offer implications for local innovation policies in latecomer regions.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":null,"pages":null},"PeriodicalIF":10.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434516","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":"Pathway towards SME competitiveness: Digital capability and digital business model innovation","authors":"","doi":"10.1016/j.techsoc.2024.102728","DOIUrl":"10.1016/j.techsoc.2024.102728","url":null,"abstract":"<div><div>Digital transformation has irrevocably redefined the landscape of contemporary business operations, heralding a new era in which DBMI has emerged as a critical strategic lever for competitive survival. Anchored on the dynamic capabilities theory, present study aims to meticulously investigates the influence of digital capability (antecedent) on DBMI and a keen focus on how DBMI, in turn, influences SME competitiveness (outcome). By adopting purposive sampling approach, data were collected from 132 SMEs representatives holding management positions in Malaysia using Google Form. The PLS-SEM analysis was rigorously carried out to verify the proposed hypotheses. The empirical findings illustrate that digital capability positively affects all components of DBMI. Of these, value creation, value proposition, and value capture innovation significantly bolster SME competitiveness, whereas value delivery innovation does not exhibit a similar effect. Considering the scarcity of empirical research on the antecedents and outcomes of DBMI, this study contributes to the theory of dynamic capabilities and improves the current literature on DBMI by providing empirical insights from Malaysian SMEs context. By affirming the role of digital capability and elucidating how DBMI can enhance competitiveness, the findings offer actionable guidance for SMEs navigating the complexities of a volatile business environment. Since this study focuses specifically on Malaysian SMEs within emerging economies, it paves the way for future investigations in developed economies and diverse regional contexts to further validate and expand upon the relationships identified between DBMI antecedents and outcomes.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":null,"pages":null},"PeriodicalIF":10.1,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142417865","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":"Can cluster analysis enrich the innovation resistance theory? The case of mobile payment usage in Italy","authors":"","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":null,"pages":null},"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":"","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":null,"pages":null},"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":"","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":null,"pages":null},"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":"","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":null,"pages":null},"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":"Enhancing sustainable development through Spatiotemporal analysis of Ramsar wetland sites in South Asia","authors":"","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":null,"pages":null},"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":"","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":null,"pages":null},"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":"","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":null,"pages":null},"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}