{"title":"A systematic review of research on digital mobile payment apps","authors":"Lin Yue","doi":"10.1016/j.tele.2025.102345","DOIUrl":"10.1016/j.tele.2025.102345","url":null,"abstract":"<div><div>Digital Mobile Payment Applications (DMPAs) have become critical components of contemporary digital economies, mediating not only financial transactions but also platform governance, user behavior, and socio-technical regulation. While scholarly inquiry into DMPAs remains theoretically fragmented, with insufficient integration across behavioral, institutional, and infrastructural perspectives. This study addresses this gap through a systematic bibliometric review of 461 peer-reviewed articles published between 2013 and 2023, retrieved from the Web of Science Core Collection. Employing VOSviewer and CiteSpace, we map the field’s intellectual structure through co-authorship networks, disciplinary collaborations, and thematic keyword clustering. While user-centric frameworks remain prevalent, our findings reveal a growing, yet underdeveloped, body of work on platform governance, stakeholder dynamics, and cross-border regulatory asymmetries. We argue for a shift beyond technocentric models toward multi-stakeholder, infrastructural, and cross-cultural analyses, grounded in critical digital infrastructure studies. The study concludes with a future research agenda that advances interdisciplinary integration and addresses regulatory heterogeneity to better conceptualize DMPAs as evolving socio-technical systems.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"105 ","pages":"Article 102345"},"PeriodicalIF":8.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188534","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}
{"title":"Human–chatbot interaction, social support and public value co-creation: Evidence from users of government chatbots in China","authors":"Houcai Wang , Thompson S.H. Teo","doi":"10.1016/j.tele.2026.102380","DOIUrl":"10.1016/j.tele.2026.102380","url":null,"abstract":"<div><div>Despite the growing significance of government chatbots in the public management domain, limited research has examined government chatbots users’ public value co-creation behavior through the lens of human–chatbots interaction attributes and social support. This study adopts two-stage analytical approach: structural equation modeling (SEM) followed by artificial neural network (ANN) analysis to unearth the key determinants of public value co-creation behavior among government chatbot users. Data were collected from 431 respondents in mainland China via a leading online survey platform. The results reveal that perceived intelligence and informational support positively affect users’ public value co-creation behavior, while perceived privacy concerns have a negative effect. In contrast, perceived social interactivity and emotional support do not show a significant impact. These results add to the theoretical understanding of user behavior in government contexts by highlighting the role of human–chatbot interaction attributes and support mechanisms. They also offer practical implications for government chatbots managers by suggesting strategies such as enhancing chatbot intelligence and improving informational support, to foster active user participation in public value co-creation initiatives.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"105 ","pages":"Article 102380"},"PeriodicalIF":8.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147397456","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}
{"title":"Determining composite influences of human and system interactivity on continued use of mobile short video apps: Mediating roles of user gratification and platform attachment","authors":"Hua Pang, Minghui Zhou","doi":"10.1016/j.tele.2026.102379","DOIUrl":"10.1016/j.tele.2026.102379","url":null,"abstract":"<div><div>As mobile short video applications increasingly dominate digital media consumption, sustaining user engagement has become a critical issue. However, existing studies tend to emphasize functional aspects, with limited attention paid to the emotional mechanisms underlying continued use behavior. Grounded in uses and gratifications theory and attachment theory, this study proposes a conceptual framework to investigate how human interactivity (connectedness and responsiveness) and system interactivity (active control and information gathering) influence users’ gratification, platform attachment, and continued use behavior on mobile short video apps. Data were collected from 508 participants through an online survey conducted on Credamo. Structural equation modeling results show that human and system interactivity each contribute to user gratification, with human interactivity exerting a stronger influence. In turn, both gratification and platform attachment have direct positive effects on continued use behavior. Moreover, gratification also indirectly influences continued use behavior through platform attachment, forming a sequential cognitive-affective-conative pathway. Theoretically, this study contributes to refining the conceptualization of interactivity and enhances understanding of how user gratification and platform attachment jointly influence continued use behavior on mobile short video apps. Practically, the findings suggest that mobile short video platforms should prioritize emotional connection in design strategies, rather than focusing solely on technical features, to effectively promote continued use behavior.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"105 ","pages":"Article 102379"},"PeriodicalIF":8.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188533","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}
{"title":"Group texting and subjective well-being: age and CMC competence shape the emotional and cognitive benefits","authors":"Brandon C. Bouchillon","doi":"10.1016/j.tele.2026.102375","DOIUrl":"10.1016/j.tele.2026.102375","url":null,"abstract":"<div><div>Cognitive and affective aspects of subjective well-being have declined in America, particularly among younger generations. Yet research from China suggests that group texting with two or more other people may enhance subjective well-being. The present study used a representative national web survey to investigate whether group texting contributes to cognitive and affective well-being in the United States. Results show that group texting was positively associated with emotional well-being and life satisfaction. Age and computer-mediated communication (CMC) competence influenced the size of these relationships, with young Americans and those who feel proficient using social technology enjoying the largest gains in emotional well-being from group texting. Age and CMC competence also moderated the indirect effect of group texting on life satisfaction through emotional well-being. Findings suggest that the practice of affirming social connections through text-based conversations among three or more people relates to subjective well-being in a U.S. context.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"105 ","pages":"Article 102375"},"PeriodicalIF":8.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188688","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}
{"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}
{"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}
{"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}
{"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}
{"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}
{"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}