Telematics and Informatics最新文献_第4页

Group texting and subjective well-being: age and CMC competence shape the emotional and cognitive benefits 群发短信与主观幸福感：年龄和CMC能力决定了群发短信的情感和认知益处

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-02-01 Epub Date: 2026-01-24 DOI: 10.1016/j.tele.2026.102375

Brandon C. Bouchillon

引用次数: 0

Platform-generated misinformation warning labels during disasters: A U.S.-China comparative study 灾害期间平台产生的错误信息警告标签：中美比较研究

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-12-07 DOI: 10.1016/j.tele.2025.102356

Chen Silvia Zhang, Sora Kim

{"title":"Platform-generated misinformation warning labels during disasters: A U.S.-China comparative study","authors":"Chen Silvia Zhang, Sora Kim","doi":"10.1016/j.tele.2025.102356","DOIUrl":"10.1016/j.tele.2025.102356","url":null,"abstract":"<div><div>This study introduces a platform social responsibility concept and a platform-public relationship perspective, identifying two crucial warning label features—source agent and communication style—to explore their impact on perceived misinformation credibility, platform credibility, platform social responsibility, and platform support behavior. Using a 2 source agents (AI vs. human) x 2 communication styles (direct vs. indirect) between-subjects online experiment conducted in the U.S. (US) and China, the study finds that warning labels generated by human fact-checkers are more effective than those from AI fact-checkers in reducing misinformation credibility and enhancing platform credibility, social responsibility, and platform support behavior. The study also reveals distinct mechanisms underlying warning label effectiveness in the US and China. In the US, disaster responsibility attribution functions as a boundary condition, influencing how warning labels function as veracity signaling, primarily affecting misinformation credibility. In contrast, in China, AI heuristics serve as a boundary condition, extending the impact of warning labels beyond misinformation credibility to strengthen platform-public relationships through enhancing platform credibility, social responsibility, and platform support behavior. These findings provide new insights into the role of warning labels in combating misinformation, highlighting the importance of cultural differences and the need for tailored platform interventions.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"104 ","pages":"Article 102356"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749623","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

Rethinking the ethical role in cyberloafing behavior: Organizational culture, interpersonal Justice, and compassion 重新思考网络漫游行为中的伦理角色：组织文化、人际公正与同情

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-11-29 DOI: 10.1016/j.tele.2025.102347

Pablo Zoghbi-Manrique-de-Lara

{"title":"Rethinking the ethical role in cyberloafing behavior: Organizational culture, interpersonal Justice, and compassion","authors":"Pablo Zoghbi-Manrique-de-Lara","doi":"10.1016/j.tele.2025.102347","DOIUrl":"10.1016/j.tele.2025.102347","url":null,"abstract":"<div><div>Prior research has shown that ethical values can constrain cyberloafing. However, the behavior has traditionally been studied as an instrumental act, commonly framed as counterproductive or as a stress-relief mechanism rather than as one guided by moral considerations. This study investigates whether cyberloafing is morally motivated or remains primarily instrumental, by examining whether organizational culture influences employees’ behavior through interpersonal justice (IJ) and compassion. Using data from 300 employees across 100 banks in London, we assess whether <span><span>Cameron and Quinn’s (1999)</span></span> clan, adhocracy, market, and hierarchy cultures foster IJ and compassion, and whether these ethical values, in turn, mediate cyberloafing behavior. Results show that only IJ partially mediates the relationship between adhocracy culture and cyberloafing. Clan, market, and hierarchy cultures showed no significant indirect effects via IJ or compassion. These findings suggest that cyberloafing is not shaped by moral mechanisms, as the ethical conditions required for such mediation appear limited in practice. Our study therefore reinforces the view of cyberloafing as an instrumental act, not contingent on ethical values, and challenges the idea that the behavior is meaningfully driven by moral considerations. From a practical perspective, these results imply that cyberloafing is best managed by addressing the workplace conditions that make it functionally appealing—rather than by attempting to elicit moral values at work, and challenges the idea that the behavior is meaningfully driven by moral considerations.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"104 ","pages":"Article 102347"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145705594","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

The new ethical issue of cultural industries in China: ’Witch-Hunting’ in the age of Generative Artificial Intelligence 中国文化产业的新伦理问题：生成式人工智能时代的“猎巫”

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-12-19 DOI: 10.1016/j.tele.2025.102362

Zhixuan Shan , Kun Hou

{"title":"The new ethical issue of cultural industries in China: ’Witch-Hunting’ in the age of Generative Artificial Intelligence","authors":"Zhixuan Shan , Kun Hou","doi":"10.1016/j.tele.2025.102362","DOIUrl":"10.1016/j.tele.2025.102362","url":null,"abstract":"<div><div>With the rapid advancement of Generative Artificial Intelligence (GAI), China’s cultural and creative industries face unprecedented ethical dilemmas. The growing difficulty in distinguishing AI-generated works from human-created ones has led to a disturbing phenomenon: human creations are frequently misidentified as AI-generated (especially in painting), imposing substantial hardships on creators. While GAI offers notable benefits, it introduces novel complications, including challenges in substantiating originality and the risk of cyberbullying in the form of ’witch-hunting’. This qualitative study conducted semi-structured interviews with ten Chinese participants who experienced ’witch-hunting’ in painting, uncovering their profound emotional distress, significant economic losses, and severe reputational damage. It also explored their perspectives on GAI works and GAI-driven transformations in the domestic creative environment.</div><div>Grounded in an interdisciplinary framework integrating group psychology, digital sociology, platform studies, and creative economy scholarship, this research identifies digital ’witch-hunting’ as a systemic issue in China rooted in technological ambiguity, platform dynamics, and collective bias. It clarifies emerging ethical challenges GAI poses to Chinese creators and provides insights for resolving this predicament through multi-stakeholder collaboration. Findings highlight the urgency of establishing clear identification standards, enhancing platform governance, and formulating supportive policies to safeguard creators’ rights and foster a healthy digital creative ecosystem in China.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"104 ","pages":"Article 102362"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841463","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 AI summary is inconsistent with aggregated rating: The role of trust, valence, and algorithmic explanation in consumer attitudes 当人工智能总结与综合评级不一致时：信任、效价和算法解释在消费者态度中的作用

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-12-19 DOI: 10.1016/j.tele.2025.102361

Lijuan Luo , Ling Liu , Yujie Zheng

{"title":"When AI summary is inconsistent with aggregated rating: The role of trust, valence, and algorithmic explanation in consumer attitudes","authors":"Lijuan Luo , Ling Liu , Yujie Zheng","doi":"10.1016/j.tele.2025.102361","DOIUrl":"10.1016/j.tele.2025.102361","url":null,"abstract":"<div><div>The rapid integration of AI-generated summary (AIGS) into online review platforms has revolutionized how consumers process online reviews. However, inconsistencies between AIGS and aggregated user-generated rating (AUGR), such as positively framed AI textual summaries paired with neutral or negative aggregated rating, pose significant risks by potentially undermining user attitudes towards both AIGS and the platform. Grounded in trust and cognitive dissonance theory, this study explores how AIGS-AUGR inconsistency impacts user attitudes towards AIGS (e.g., adoption intention, perceived helpfulness) and the platform (e.g., continuous usage intention, recommendation intention). Through three scenario-based experiments, we find that AIGS-AUGR inconsistency directly reduces trust, which fully mediates its negative effects on user attitudes. Additionally, we identify two critical boundary conditions: 1) negative AIGS valence mitigates the negative effects compared to positive valence, and 2) algorithmic explanation moderates the effects of inconsistency on trust by enhancing perceived transparency. These findings offer valuable insights for how platforms present and govern algorithmic content, helping sustain consumer trust and engagement in AI-powered review environments.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"104 ","pages":"Article 102361"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841466","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

Deepening digital user understanding through large language model analysis of clickstream-based segments 通过对基于点击流的细分进行大型语言模型分析，加深对数字用户的理解

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-12-06 DOI: 10.1016/j.tele.2025.102359

Adam Wasilewski , Yash Chawla , Nikola Kozuljevic

{"title":"Deepening digital user understanding through large language model analysis of clickstream-based segments","authors":"Adam Wasilewski , Yash Chawla , Nikola Kozuljevic","doi":"10.1016/j.tele.2025.102359","DOIUrl":"10.1016/j.tele.2025.102359","url":null,"abstract":"<div><div>Effective digital platform strategies often depend on a deep understanding of user behavior. Specifically within e-commerce, analyzing clickstream data through machine learning allows users to be categorized into distinct segments based on their online interactions. This research explores the potential of large language models (LLMs) to extract granular insights from these customer segments. Unlike traditional methods, LLMs may possess a greater ability to uncover latent patterns within user preferences, needs, and motivations as reflected in interaction data. This study demonstrates, within an e-commerce context, the effectiveness of integrating clickstream segmentation with LLMs to generate actionable recommendations for personalized marketing campaigns, innovative product development, and improved customer service. The research indicates areas of practical application for this LLM-based approach, and the results show the great potential of such tools in e-commerce analytics, including getting to understand user behaviors and pre-determining personalization directions. By harnessing the power of LLMs, companies can gain a deeper understanding of user behavior within their specific domain, identify untapped opportunities, and tailor their offerings. Ultimately, this research contributes to advancing e-commerce analysis methodologies and offers insights potentially applicable to understanding user interactions on other digital platforms, enabling organizations to optimize operations and foster customer loyalty.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"104 ","pages":"Article 102359"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749621","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

Emerging generative AI divide: Personal, positional, and resource-based factors associated with use and reasons for non-use 新兴的生成人工智能鸿沟：与使用和不使用的原因相关的个人、位置和资源因素

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-12-18 DOI: 10.1016/j.tele.2025.102360

Atsushi Nakagomi , Noriyuki Abe , Takahiro Tabuchi

{"title":"Emerging generative AI divide: Personal, positional, and resource-based factors associated with use and reasons for non-use","authors":"Atsushi Nakagomi , Noriyuki Abe , Takahiro Tabuchi","doi":"10.1016/j.tele.2025.102360","DOIUrl":"10.1016/j.tele.2025.102360","url":null,"abstract":"<div><div>As generative artificial intelligence (AI) tools become increasingly integrated into everyday life, concerns are growing over unequal adoption and the potential emergence of an “AI divide.” Guided by the Resources and Appropriation Theory (RAT), this study investigated the factors associated with generative AI use and reasons for non-use in a population-based sample of 13,367 adults in Japan. In January 2025, approximately 21.3 % of respondents reported using generative AI in the past 12 months. Modified Poisson regression showed that AI use was more prevalent among younger individuals, men, those with certain personality traits (openness and agreeableness) and those experiencing psychological distress (personal factors). In addition, those who were highly educated, married, childless, living in urban and less socioeconomically deprived areas, and employed in certain occupational categories (positional factors) were more likely to use generative AI. Higher-income individuals, those with strong friend-based social networks, frequent digital engagement (smartphone and social media use), and higher digital health literacy scores (resource-based factors) were more likely to adopt AI. Among non-users, the most commonly cited reason was “not necessary” (39.9 %). We observed patterns in the factors associated with specific reasons for non-use, linked to age, gender, personality traits, education, and digital literacy. For example, younger adults were less likely to report barriers related to skills or security concerns, and instead cited a lack of attractive services. These findings highlight that generative AI adoption is shaped by a wide range of personal, positional, and resource-based. Without inclusive strategies, these disparities risk compounding existing inequalities.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"104 ","pages":"Article 102360"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841465","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

Real connections in fake news: analysis of linking behaviors of fake news websites 假新闻中的真实联系：假新闻网站链接行为分析

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-11-15 DOI: 10.1016/j.tele.2025.102343

Jessica F. Sparks , Renee Mitson , Jieun Shin , Jean D. Louis

引用次数: 0

Opting out of generative AI: a behavioral experiment examining the role of education in Perplexity AI avoidance 选择退出生成AI：一项行为实验，研究教育在困惑AI回避中的作用

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-11-25 DOI: 10.1016/j.tele.2025.102346

Roberto Ulloa , Juhi Kulshrestha , Celina Kacperski

{"title":"Opting out of generative AI: a behavioral experiment examining the role of education in Perplexity AI avoidance","authors":"Roberto Ulloa , Juhi Kulshrestha , Celina Kacperski","doi":"10.1016/j.tele.2025.102346","DOIUrl":"10.1016/j.tele.2025.102346","url":null,"abstract":"<div><div>The rise of conversational AI (CAI), powered by large language models, is transforming how individuals access and interact with digital information. However, these tools may inadvertently amplify existing digital inequalities. This study investigates whether differences in formal education are associated with CAI avoidance, i.e., the deliberate refusal or discontinuation of engaging with a CAI when the opportunity and demand arises. We leverage behavioral data from an online experiment (N = 1636) where participants were randomly assigned to one of three groups: a control group, a traditional online search task, or a CAI task (Perplexity AI). Task avoidance (operationalized as survey abandonment or providing unrelated responses during task assignment) was significantly higher in the CAI group (51 %) compared to the search (30.9 %) and control (16.8 %) groups, with the highest CAI avoidance among participants with lower education levels (∼74.4 %). Structural equation modeling based on the theoretical framework UTAUT2 and LASSO regressions reveal that education is strongly associated with CAI avoidance, even after accounting for various cognitive and affective predictors of technology adoption. These findings underscore education’s central role in shaping AI adoption and the role of self-selection biases in AI-related research, stressing the need for inclusive design to ensure equitable access to emerging technologies.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"104 ","pages":"Article 102346"},"PeriodicalIF":8.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798344","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 citizen satisfaction with mobile government services in China: The mediating role of trust in service quality and perceived value 提高中国公民对移动政务服务的满意度：服务质量和感知价值信任的中介作用

IF 8.3 2区管理学

Telematics and Informatics Pub Date : 2026-01-01 Epub Date: 2025-12-07 DOI: 10.1016/j.tele.2025.102355

Yihong Long , Kexin Yang , Ran Huang , Guoping Yuan , Yi Xia

引用次数: 0