Telematics and Informatics最新文献

What makes citizens participate in government data governance? A study based on Behavioral Reasoning Theory 是什么促使公民参与政府数据治理？基于行为推理理论的研究

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-10-19 DOI: 10.1016/j.tele.2024.102198

{"title":"What makes citizens participate in government data governance? A study based on Behavioral Reasoning Theory","authors":"","doi":"10.1016/j.tele.2024.102198","DOIUrl":"10.1016/j.tele.2024.102198","url":null,"abstract":"<div><div>This study seeks to examine the underlying mechanisms that shape citizens’ intentions to participate in government data governance. By uncovering the multifaceted determinants that facilitate or inhibit such participation, this study provides a theoretical foundation and methodological approach for future related research. Based on the findings, practical strategies to bolster citizen engagement in government data governance are proposed. An integrated higher-order reflective-formative model was constructed using the Behavioral Reasoning theory as a foundational framework. This model amalgamates the Civic Voluntarism Model, the Administrative Burden Theory, and the Ladder of Citizen Participation Theory. We employed PLS-SEM to analyze the influence of value orientation, attitude, participation, and non-participation reasoning on civic participation intention. Simultaneously, we explored the effects of six lower-order factors—motivation, resource, mobilization, psychological cost, compliance cost, and learning cost—on participation and non-participation reasoning. The study found that value orientation significantly and positively influences both participation reasoning and attitudes. Conversely, value orientation has a significant negative effect on non-participation reasoning. Participation reasoning positively impacts attitudes and the willingness to participate. Non-participation reasoning negatively affects attitudes and the willingness to participate. Motivation plays a crucial role in shaping a citizen’s participation reasoning. Compliance cost is also a key factor influencing citizens’ non-participation reasoning.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online health [mis]information processing and evaluation among older adults: Comparing individuals with varied abilities in information discernment 老年人的在线健康[错误]信息处理和评估：比较具有不同信息鉴别能力的个人

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-10-16 DOI: 10.1016/j.tele.2024.102197

引用次数: 0

Exploring college students' risk perception and acceptance intention of facial recognition technology in China 探究中国大学生对人脸识别技术的风险认知和接受意向

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-10-11 DOI: 10.1016/j.tele.2024.102193

{"title":"Exploring college students' risk perception and acceptance intention of facial recognition technology in China","authors":"","doi":"10.1016/j.tele.2024.102193","DOIUrl":"10.1016/j.tele.2024.102193","url":null,"abstract":"<div><div>In response to China’s ‘smart campus’ trend, facial recognition technology (FRT) in higher education has evolved from identification to emotion recognition, raising various risks and controversies. Understanding college students’ perceptions is key to addressing these concerns and facilitating AI integration. This study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) model to gauge students’ attitudes towards FRT, introducing three new constructs: ‘personal innovativeness,’ ‘trust in the system,’ and ‘perceived risks.’ Results show that students’ personal innovativeness and trust in the system positively relate to their acceptance intention. Trust in FRT is hindered by perceived privacy, psychological, and performance risks, while perceived social risks are insignificant. Higher education shows less resistance to FRT due to normalized campus surveillance. Compared to Western societies, Chinese students’ Confucian cultural stance of ‘harmony but not uniformity’ reduces concerns about racial or religious discrimination from FRT. These findings are crucial for assessing FRT’s necessity and legality in higher education and devising risk mitigation strategies.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing or impeding? Exploring the dual impact of anthropomorphism in large language models on user aggression 增强还是阻碍？探索大型语言模型中的拟人化对用户攻击性的双重影响

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-10-10 DOI: 10.1016/j.tele.2024.102194

引用次数: 0

Displaying health cues on online dating profiles: How do gender, smoking, and COVID-19 vaccination statuses influence impression and dating decision? 在在线约会资料中显示健康提示：性别、吸烟和 COVID-19 疫苗接种情况如何影响印象和约会决定？

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-10-04 DOI: 10.1016/j.tele.2024.102192

{"title":"Displaying health cues on online dating profiles: How do gender, smoking, and COVID-19 vaccination statuses influence impression and dating decision?","authors":"","doi":"10.1016/j.tele.2024.102192","DOIUrl":"10.1016/j.tele.2024.102192","url":null,"abstract":"<div><div>Recent COVID-19 online dating research have investigated the strategies people used during the pandemic dating, however, the relationship between displaying health cues on online dating profiles and making online dating decisions has been understudied. A 2 (Profile Owner/Viewer’s Gender: Male vs. Female) x 2 (Smoking Status: Non-Smoker vs. Smoker) x 2 (COVID-19 Vaccination status: Not Vaccinated vs. Vaccinated) between-subjects online experiment (<em>N</em> = 250) was conducted to examine the impact of gender, smoking, and COVID-19 vaccination status on online dating decision. Results showed non-smoking profile owners were more likely to receive the video chat invitation compared with smoking profile owners. Male profile viewers were more likely to send message, video chat, meet offline, make short-term and long-term dating decisions toward profile owners compared with female profile viewers. Vaccinated females and unvaccinated males were more likely to receive the offline meeting invitation. An online dating profile owner’s perceived intelligence and perceived similarity would vary as a function of his/her vaccination status and smoking status. In addition, loneliness moderated the relationship between smoking/vaccination status and long/short term dating decisions. This study contributed to the literature of online dating and provided a roadmap for the online dating website designers.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems 了解公共数据生态系统的发展：从概念模型到公共数据生态系统演变的六代模型

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.tele.2024.102190

{"title":"Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems","authors":"","doi":"10.1016/j.tele.2024.102190","DOIUrl":"10.1016/j.tele.2024.102190","url":null,"abstract":"<div><div>There is a lack of understanding of the elements that constitute different types of value-adding public data ecosystems and how these elements form and shape the development of these ecosystems over time, which can lead to misguided efforts to develop future public data ecosystems. The aim of the study is twofold: (1) to explore how public data ecosystems have developed over time and (2) to identify the value-adding elements and formative characteristics of public data ecosystems. Using an exploratory retrospective analysis and a deductive approach, we systematically review 148 studies published between 1994 and 2023. Based on the results, this study presents a typology of public data ecosystems and develops a conceptual model of elements and formative characteristics that contribute most to value-adding public data ecosystems. Moreover, this study develops a conceptual model of the evolutionary generation of public data ecosystems represented by six generations that differ in terms of (a) components and relationships, (b) stakeholders, (c) actors and their roles, (d) data types, (e) processes and activities, and (f) data lifecycle phases. Finally, three avenues for a future research agenda are proposed. This study is relevant for practitioners suggesting what elements of public data ecosystems have the most potential to generate value and should thus be part of public data ecosystems. As a scientific contribution, this study integrates conceptual knowledge about the elements of public data ecosystems, the evolution of these ecosystems, defines a future research agenda, and thereby moves towards defining public data ecosystems of the new generation.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

When chatbots make errors: Cognitive and affective pathways to understanding forgiveness of chatbot errors 当聊天机器人犯错时：理解原谅聊天机器人错误的认知和情感途径

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.tele.2024.102189

{"title":"When chatbots make errors: Cognitive and affective pathways to understanding forgiveness of chatbot errors","authors":"","doi":"10.1016/j.tele.2024.102189","DOIUrl":"10.1016/j.tele.2024.102189","url":null,"abstract":"<div><div>This study aims to investigate whether individuals can forgive chatbots for their errors as they do for humans. Drawing on the contrasting theoretical frameworks of Computer are Social Actors (CASA) and machine heuristic in the Human-AI interaction (HAII), the study examines individuals’ forgiveness towards errors made by chatbots with different levels of anthropomorphism. Specifically, this study focuses on the affective and cognitive pathways in shaping individuals’ forgiveness towards chatbots. An online experiment (N = 580) with a two (anthropomorphism levels: low vs. high) × two (chatbot types: task-oriented vs. relationship-oriented) between-subjects design was conducted. Results indicated that compared to chatbots with low anthropomorphism, those with high anthropomorphism tend to elicit greater forgiveness for their errors. The effects of anthropomorphism on forgiveness to chatbot errors were mediated both through the affective route, by mitigating perceived severity and emotional aversion, and through the cognitive route, by attributing errors more to the users themselves. Our study also reveals the complex nature of forgiveness responses to chatbot errors, which are influenced by the specific context in which the chatbot is used. The theoretical and practical implications were discussed.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Do consumers’ perceptions of algorithms and trusting beliefs in providers affect perceived structural assurances of AI-powered applications? 消费者对算法的认知和对供应商的信任是否会影响人工智能应用的结构保证？

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-10-01 DOI: 10.1016/j.tele.2024.102188

{"title":"Do consumers’ perceptions of algorithms and trusting beliefs in providers affect perceived structural assurances of AI-powered applications?","authors":"","doi":"10.1016/j.tele.2024.102188","DOIUrl":"10.1016/j.tele.2024.102188","url":null,"abstract":"<div><div>This study aims to understand how perceptions of algorithms and trusting beliefs in service providers facilitate consumers’ perceived structural assurance of using commercial AI applications. The present study adopts a combined approach of partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis (PLS-SEM-fsQCA) to understand the linear and combined effects of the studied factors on perceived structural assurance with 297 effective responses. The PLS-SEM findings revealed that algorithmic perceptions (i.e., Fairness, Accountability, and Transparency) and trusting beliefs (i.e., Benevolence, Competence, and Integrity) were positively associated with Perceived Structural Assurance. The fsQCA findings indicate four configural solutions of causal conditions that explain Perceived Structural Assurance, and each solution reflects a particular type of consumers who have unique considerations when assessing commercial AI’s structural assurance. This study adds to consumer behavior studies by introducing consumers’ perceptions of algorithms and trusting beliefs in evaluating their structural assurances in commercial AI applications from linear and complexity perspectives.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial-temporal evolution of digital skills in the EU countries 欧盟国家数字技能的时空演变

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-09-03 DOI: 10.1016/j.tele.2024.102185

{"title":"Spatial-temporal evolution of digital skills in the EU countries","authors":"","doi":"10.1016/j.tele.2024.102185","DOIUrl":"10.1016/j.tele.2024.102185","url":null,"abstract":"<div><p>Digital skills, integral to the functioning of the digital economy and information society, show temporal and spatial variations measured by various indicators. In this article, we assess the spatial and temporal evolution of digital skills under the influence of key factors and domains in the EU countries from 2015 to 2021. Applying spatial autocorrelation analysis, robust geographical heterogeneity and consistent spatial patterns in digital skills are outlined, resulting in two ‘high–high’ and ‘high–low’ clusters in the North and Center, and a ‘low–low’ cluster in the South. Using feature importance selection, key indicators within aggregate domains driving digital skills policy are identified. Spatial lag regression analysis highlights the significance of all domains, revealing spatial and spillover effects on digital skills, with the primary influence observed in the social sphere, technology and innovations, and demography domains. Although the ICT infrastructure domain is statistically more significant in our spatial model along with the economy and technology and innovations, its spillover effects appear relatively modest, indicating a corresponding degree of within-country localization. This study contributes to the understanding of the evolution of digital skills by revealing both spatial relationships and temporal dynamics and strengthening spatial digital policy measures in the EU. The spatial coherence of digital policies, the spatial network of technological and innovation centers in both ‘high–low’ clusters and cross-border locations, and improving the social, demographic, and economic profiles of citizens are critical among other measures to improve digital skills in EU countries.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generative artificial intelligence usage by researchers at work: Effects of gender, career stage, type of workplace, and perceived barriers 研究人员在工作中使用生成式人工智能：性别、职业阶段、工作场所类型和感知障碍的影响

IF 7.6 2区管理学

Telematics and Informatics Pub Date : 2024-09-01 DOI: 10.1016/j.tele.2024.102187

{"title":"Generative artificial intelligence usage by researchers at work: Effects of gender, career stage, type of workplace, and perceived barriers","authors":"","doi":"10.1016/j.tele.2024.102187","DOIUrl":"10.1016/j.tele.2024.102187","url":null,"abstract":"<div><p>The integration of generative artificial intelligence technology into research environments has become increasingly common in recent years, representing a significant shift in the way researchers approach their work. This paper seeks to explore the factors underlying the frequency of use of generative AI amongst researchers in their professional environments. As survey data may be influenced by a bias towards scientists interested in AI, potentially skewing the results towards the perspectives of these researchers, this study uses a regression model to isolate the impact of specific factors such as gender, career stage, type of workplace, and perceived barriers to using AI technology on the frequency of use of generative AI. It also controls for other relevant variables such as direct involvement in AI research or development, collaboration with AI companies, geographic location, and scientific discipline. Our results show that researchers who face barriers to AI adoption experience an 11 % increase in tool use, while those who cite insufficient training resources experience an 8 % decrease. Female researchers experience a 7 % decrease in AI tool usage compared to men, while advanced career researchers experience a significant 19 % decrease. Researchers associated with government advisory groups are 45 % more likely to use AI tools frequently than those in government roles. Researchers in for-profit companies show an increase of 19 %, while those in medical research institutions and hospitals show an increase of 16 % and 15 %, respectively. This paper contributes to a deeper understanding of the mechanisms driving the use of generative AI tools amongst researchers, with valuable implications for both academia and industry.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":null,"pages":null},"PeriodicalIF":7.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0736585324000911/pdfft?md5=d90070ae12caa2325005060f62c919ba&pid=1-s2.0-S0736585324000911-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0