Telematics and Informatics最新文献

{"title":"Do personality traits influence the user’s behavioral intention to adopt and use Open Government Data (OGD)? An empirical investigation","authors":"Nina Rizun ,&nbsp;Charalampos Alexopoulos ,&nbsp;Stuti Saxena ,&nbsp;Fernando Kleiman ,&nbsp;Ricardo Matheus","doi":"10.1016/j.tele.2023.102073","DOIUrl":"https://doi.org/10.1016/j.tele.2023.102073","url":null,"abstract":"<div><p>The academic interest in the Open Government Data (OGD) domain has been burgeoning over the years. Conceding that the prime focus of an OGD initiative is its further re-use for value creation and innovation by stakeholders, the present study seeks to underscore the role of HEXACO personality traits on behavioral intention (BI) to adopt and use OGD in developing countries' context. We investigate the direct, indirect, and moderating effects of HEXACO personality traits provide a better understanding of how and to what extent personality traits influence future behavioral intention to use OGD. The results demonstrate that Trust and Performance Expectancy are positive predictors of BI to adopt and use OGD. Users with higher Openness to Experience tend to have higher Effort and Performance Expectancy; are characterized by exposure to Social Influence; have higher level of Trust and positive experience of Facilitating Conditions and Information Quality. Agreeable people are more likely to Voluntarily Use OGD. Conscientiousness enhances the individual's perception of OGD quality-related factors. Excessive Emotionality affects negative perception to System and Information Quality issues. Honesty–Humility and Extraversion are able to maintain the effect of OGD Information Quality and Trust on users' BI. Our findings could be useful for practitioners to level the divergence between actual and potential use of OGD by considering the user's personality traits.</p><p>.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"87 ","pages":"Article 102073"},"PeriodicalIF":8.5,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138472333","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":"Predicting individuals’ privacy protection and self-tracking behaviors in the context of smart health","authors":"Jaewon Royce Choi ,&nbsp;Seongcheol Kim","doi":"10.1016/j.tele.2023.102069","DOIUrl":"10.1016/j.tele.2023.102069","url":null,"abstract":"<div><p>The implementation of Internet of Things (IoT) technologies faces social challenges, such as privacy and surveillance, in our so-called ‘sensor society.’ This study applies a unique theoretical framework of surveillance culture, consisting of the surveillance imaginary and surveillance practices, to comprehensively capture individual perceptions and behaviors related to privacy and surveillance in the context of smart health. We also conducted online surveys to examine the cross-national differences between South Korea and the US. Our results show that institutional trust and perceived comfort levels significantly predict individuals’ self-tracking behavior in both the US and Korean samples. Privacy concerns are significantly associated with individuals’ privacy protection behaviors for both samples. The cross-national differences between the US and South Korea are found to be statistically significant. A post-hoc analysis reveals that most differences are attributed to demographic and personal characteristics as predictors of the surveillance imaginary and surveillance practices.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"86 ","pages":"Article 102069"},"PeriodicalIF":8.5,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135763635","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":"Digital resilience: A multiple case study of Taobao village in rural China","authors":"Jingke Lin ,&nbsp;Jianjie Tao","doi":"10.1016/j.tele.2023.102072","DOIUrl":"10.1016/j.tele.2023.102072","url":null,"abstract":"<div><p>Digital resilience, the ability of a system to respond to external shocks, grow and survive in a changing environment, has become a topic of increasing interest in ICT4D literature. Through the Resilience Assessment Benchmarking and Impact Toolkit (RABIT), the purpose of this article is to conceptualize digital resilience and apply this framework to analyze the Taobao village cases, where some grassroots communities in remote counties leapfrog out of poverty and digital divide, becoming e-commerce entrepreneurs in the context of global Internet mobility. This study first evaluates the performance of foundational and enabling attributes in Southern Jiangxi, Caoxian and Suichang in the face of the COVID-19 pandemic. It is found that the three cases performed well in terms of the foundational attributes, among which Suichang was better than Southern Jiangxi and Caoxian. At the same time, there was a notable difference in terms of enabling attributes. This is reflected in the three distinct grassroots action strategies employed: the “Migratory Bird” strategy, which is flexible but policy-dependent; the “Prism” strategy, which is built on local social networks and flow utilization; and the “Diamond” strategy, leverages high levels of industrial clustering to amplify advantages. Finally, this article offers insights and recommendations for policymakers and practitioners in developing countries and regions, to build a pathway towards digital resilience.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"86 ","pages":"Article 102072"},"PeriodicalIF":8.5,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0736585323001363/pdfft?md5=8543f93f72105d6f9bd25b6c6660a42b&pid=1-s2.0-S0736585323001363-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135610042","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}

{"title":"Understanding AI tool engagement: A study of ChatGPT usage and word-of-mouth among university students and office workers","authors":"Hyeon Jo","doi":"10.1016/j.tele.2023.102067","DOIUrl":"https://doi.org/10.1016/j.tele.2023.102067","url":null,"abstract":"<div><p>This study aims to explore the determinants of user behaviors toward an artificial intelligence (AI) tool, ChatGPT, focusing on university students and office workers. In this study, we present a comprehensive model to understand user engagement with AI tools, specifically focusing on ChatGPT. The model is grounded on four primary stages, each containing distinct variables: 1) fundamental (comprising perceived intelligence and system quality), 2) knowledge and service (covering knowledge acquisition, application, personalization, and trust), 3) gain with user tendency (encompassing utilitarian benefits, individual impact, satisfaction, and personal innovativeness), and 4) behavior (including behavioral intention, continued usage, and Word-of-Mouth (WOM)). A total of 13 variables have been examined. A survey was conducted on a sample of 645 university students and office workers, and the collected data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results reveal significant associations between perceived intelligence and knowledge management, and personalization. System quality also significantly impacts knowledge management and personalization. Knowledge acquisition and application were found to significantly affect utilitarian benefits and individual impact, but not satisfaction. Personalization significantly influenced utilitarian benefits, individual impact, and satisfaction. Trust significantly impacts behavioral intention. Utilitarian benefits and individual impact had a positive effect on satisfaction, behavioral intention, and WOM. Personal innovativeness was significantly associated with behavioral intention. Behavioral intention significantly affected usage and WOM, while usage did not significantly associate with WOM. Among control variables, only age affects behavioral intention. This study also confirmed the indirect effects and conducted a multi-group analysis (MGA) between students and workers. MGA results show that there are significant differences in three relationships (personalization-satisfaction, utilitarian benefits-WOM, and behavioral intention-WOM) between students and workers. This research extends the understanding of AI tool usage and provides theoretical and practical insights for researchers, practitioners, and policymakers in AI and related fields.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"85 ","pages":"Article 102067"},"PeriodicalIF":8.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91959937","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":"Data-driven approaches into political orientation and news outlet discrimination: The case of news articles in South Korea","authors":"Jungkyun Lee ,&nbsp;Junyeop Cha ,&nbsp;Eunil Park","doi":"10.1016/j.tele.2023.102066","DOIUrl":"https://doi.org/10.1016/j.tele.2023.102066","url":null,"abstract":"<div><p>With the advancement of the internet, the public now has easy access to news from various media outlets. However, a number of news outlets tend to report their content based on their political orientations or affiliations, which may compromise the objectivity of the news. This research used machine learning to analyze whether it is possible to tell the political orientation and news outlet apart based on news articles in South Korea. We collected a lot of news articles spanning over five years and used the text data. We chose major conservative and progressive news outlets and tried classifying them into two groups. We even looked into classifying articles by each news outlet. We used different machine learning methods like Logistic Regression, Random Forest Classifier, and eXtreme Gradient Boosting, and tried to improve the performance by combining these models. The research found that the combined model had high accuracy, up to 91.9% for binary classification of news outlet political orientations and up to 84.0% for classifying news outlets in multiple categories. This shows that you can determine the political leaning of news outlets based on their articles, highlighting the importance of considering bias in news outlets when evaluating information instead of solely relying on the article content.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"85 ","pages":"Article 102066"},"PeriodicalIF":8.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91959935","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":"Trapped in the search box: An examination of algorithmic bias in search engine autocomplete predictions","authors":"Cong Lin ,&nbsp;Yuxin Gao ,&nbsp;Na Ta ,&nbsp;Kaiyu Li ,&nbsp;Hongyao Fu","doi":"10.1016/j.tele.2023.102068","DOIUrl":"https://doi.org/10.1016/j.tele.2023.102068","url":null,"abstract":"<div><p>This paper examines the autocomplete algorithmic bias of leading search engines against three sensitive attributes: gender, race, and sexual orientation. By simulating search query prefixes and calling search engine APIs, 106,896 autocomplete predictions were collected, and their semantic toxicity scores as measures of negative algorithmic bias were computed based on machine learning models. Results indicate that search engine autocomplete algorithmic bias is overall consistent with long-standing societal discrimination. Historically disadvantaged groups such as the female, the Black, and the homosexual suffer higher levels of negative algorithmic bias. Moreover, the degree of algorithmic bias varies across topic categories. Implications about the search engine mediatization, mechanisms and consequences of autocomplete algorithmic bias are discussed.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"85 ","pages":"Article 102068"},"PeriodicalIF":8.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91686407","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":"Emoji and visual complexity in health information design: A moderated serial mediation model","authors":"Tingyi S. Lin,&nbsp;Yue Luo","doi":"10.1016/j.tele.2023.102065","DOIUrl":"https://doi.org/10.1016/j.tele.2023.102065","url":null,"abstract":"<div><p>Social media is a valuable tool that enables public health organizations to communicate effectively. To enhance the reach of health communication on social media, scholars have proposed that emoji be used to convey scientific information. The current study explored the influence of emoji on the effectiveness of health communication on social media. Automated content analysis revealed that the presence of emoji in online health information resulted in higher levels of social media engagement (SME) than the absence of emoji did. Additionally, a 2 (emoji: present versus absent) × 3 (visual complexity of information design: low versus medium versus high) online experiments revealed that the presence of emoji in health information sequentially increased perceived enjoyment and perceived interactivity, thereby promoting SME. However, this effect is influenced by the visual complexity of health information designs. The presence of emoji is only effective in increasing SME with health information presented using a design with low or medium visual complexity. This study provides theoretical and practical insights into visual health communication and health information design.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"85 ","pages":"Article 102065"},"PeriodicalIF":8.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91686854","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":"Advanced digital skills of the Spanish population from 2015 to 2021. Socioeconomic and geographical factors according to an ordered probit model","authors":"Francisca Ruiz-Rodríguez ,&nbsp;Abdennour Akoudad-Ekajouan ,&nbsp;Reyes Manuela González-Relaño","doi":"10.1016/j.tele.2023.102064","DOIUrl":"https://doi.org/10.1016/j.tele.2023.102064","url":null,"abstract":"<div><p>The increasing digitalisation<span> of the economy, especially after the COVID-19 pandemic, requires the population to have advanced digital skills. In a decentralised country such as Spain, it is necessary to identify the population’s model of digital skills acquisition by taking geographical variables into account. To this end, the aim of this research is to analyse the impact of socioeconomic and geographical variables on the level of advanced digital skills of the Spanish population including two spatial levels: regional (Autonomous Communities) and local (provinces) from 2015 to 2021. An ordered probit model is used with microdata provided by the Spanish National Statistics Institute’s Survey on Equipment and Use of Information and Communication Technologies<span> in Households (ICT_H) for 2015, 2019 and 2021. The results of this study show that socioeconomic factors have a greater influence than geographical factors on the digital skills acquisition model. The model has undergone changes with the emergence of the COVID-19 pandemic, with an increase of advanced digital skills among the employed and the unemployed compared to inactive persons. Moreover, the importance of educational level is corroborated and the importance of daily Internet use increased during the pandemic. There was also less regional than provincial dispersion in the probability of converging in digital skills with the region and province of Madrid. This study contributes the evolution over time of the model of digital skills acquisition with socioeconomic and geographical variables, identifying intra-regional differences and indicating whether there is spatial dependence between regional and local levels in Spain, with a view to reducing them in terms of sustainability.</span></span></p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"85 ","pages":"Article 102064"},"PeriodicalIF":8.5,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49752592","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":"Systematic review of survey scales measuring information privacy concerns on social network sites","authors":"Jošt Bartol ,&nbsp;Vasja Vehovar ,&nbsp;Andraž Petrovčič","doi":"10.1016/j.tele.2023.102063","DOIUrl":"https://doi.org/10.1016/j.tele.2023.102063","url":null,"abstract":"<div><p>Privacy in social network sites (SNSs) is an important issue, and many researchers have focused on understanding the effects of information privacy concerns (IPCs) on user behavior. However, to develop research capable of addressing the complexity and multilayered nature of IPCs on SNSs, valid and reliable IPC survey scales are necessary. To this end, a systematic review of IPC scales utilized in SNS research was conducted to describe the survey inventories used, identify critical issues, and suggest directions for future research. Articles measuring SNS users’ IPCs published before 2023 were reviewed systematically using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology. Altogether, 4,581 screened abstracts yielded 120 eligible articles, in which 53 different survey scales for the measurement of SNS users’ IPCs were used. These scales predominantly measure IPCs arising from organizational practices (i.e., vertical IPCs) rather than SNS user practices (i.e., horizontal IPCs). The results also indicated that scarce attention has been paid to ensuring the scales’ validity, particularly structural validity, criterion validity, and measurement invariance.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"85 ","pages":"Article 102063"},"PeriodicalIF":8.5,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49752166","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":"Revealing the spatial co-occurrence patterns of multi-emotions from social media data","authors":"Dongyang Wang ,&nbsp;Yandong Wang ,&nbsp;Xiaokang Fu ,&nbsp;Mingxuan Dou ,&nbsp;Shihai Dong ,&nbsp;Duocai Zhang","doi":"10.1016/j.tele.2023.102025","DOIUrl":"10.1016/j.tele.2023.102025","url":null,"abstract":"<div><p><span>Emotions play a critical role in understanding human behaviors and are direct indicators of residents' well-being and quality of life. Assessing spatial-emotional interactions is crucial for human-centered urban planning and public mental health. However, prior research has focused on the spatial analysis of every single emotion, ignoring the intricate interactions between multi-emotions and space. To address this gap, we propose a novel framework to reveal the spatial co-occurrence patterns of multi-emotions using massive social media data in Wuhan, China. Specifically, the BERT (bidirectional encoder representations from transformers) pre-trained model is utilized to classify each post into one of five basic emotions. Given the implementation of the K-means algorithm on these emotional results, the emotion-based similarities among different grids are investigated. The qualitative and quantitative results reveal six spatial co-occurrence patterns of conflicting or consistent emotions in urban space, namely, happiness-fear, happiness-anger, balanced emotion, happiness dominated, happiness-surprise, and happiness-sadness. In particular, the balanced emotion pattern is the most prevalent and tends to be spatially concentrated in the city center, while patterns of happiness-anger and happiness-sadness are mainly observed in the suburbs. Plus, results of the </span>Multinomial Logit Model (MNLM) indicate that the spatial multi-emotions co-occurrence patterns are significantly correlated with land use characteristics based on points-of-interest (POIs) data. These findings provide an innovative perspective for understanding the complex interactions between emotions and space, with theoretical and practical implications for designing and maintaining an emotionally healthy city.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"84 ","pages":"Article 102025"},"PeriodicalIF":8.5,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48545475","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}