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Telematics and informatics
Pergamon Press
Telematics and informatics

Pergamon Press

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0736-5853

Telematics and informatics/Journal Telematics and informaticsEISSCI
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    Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems

    Lnenicka M.Nikiforova A.Luterek M.Milic P....
    1.1-1.23页
    查看更多>>摘要：© 2024 Elsevier LtdThere 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.
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    When chatbots make errors: Cognitive and affective pathways to understanding forgiveness of chatbot errors

    Cao B.Li Z.Crystal Jiang L.
    1.1-1.19页
    查看更多>>摘要：© 2024 Elsevier LtdThis 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.
      原文链接:
    • NETL
    • NSTL

    Spatial-temporal evolution of digital skills in the EU countries

    Grishchenko, Natalia
    1.1-1.20页
    查看更多>>摘要：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.
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Generative artificial intelligence usage by researchers at work: Effects of gender, career stage, type of workplace, and perceived barriers

    Dorta-Gonzalez P.Lopez-Puig A.J.Dorta-Gonzalez M.I.Gonzalez-Betancor S.M....
    1.1-1.12页
    查看更多>>摘要：© 2024 The Author(s)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.
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Do consumers’ perceptions of algorithms and trusting beliefs in providers affect perceived structural assurances of AI-powered applications?

    Yuan Y.-P.Ooi K.-B.Liu L.Wei-Han Tan G....
    1.1-1.16页
    查看更多>>摘要：© 2024 Elsevier LtdThis 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.
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Pathways to e-participation diffusion: A societal and governance perspective

    Cezar A.
    1.1-1.12页
    查看更多>>摘要：© 2024 Elsevier LtdE-participation diffusion is influenced by the interactions of multiple contextual factors. This study examines how societal dynamics and governance (i.e., national culture, economic prosperity, human capital, population size, online trust, and regulation) interact to produce high and low levels of e-participation diffusion. The study uses fuzzy-set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) on a dataset of 88 countries collected from multiple sources. FsQCA reveals three paths for high e-participation diffusion (each includes either high online trust or high regulation combined with at least one additional condition) and a single path combining low online trust and regulation for low e-participation diffusion. NCA identifies that regulation, online trust, human capital, and economic prosperity are necessary conditions for high e-participation diffusion, while no necessary condition is identified for low e-participation diffusion. Uncovering casual mechanisms leading to high and low e-participation diffusion, the study contributes to the conversation on technology-mediated participatory governance interactions and guides decision makers in formulating targeted strategies to promote e-participation diffusion.
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Insights from cross-cultural memes: An empirical study on instagram and Douban

    Zhang L.Cao H.Yan Q.
    1.1-1.24页
    查看更多>>摘要：© 2024 Elsevier LtdAs one of the most prevalent types of memes, visual memes often transcend individual cultures and languages and reach broad online communities of disparate actors. However, how the intrinsic factors of visual memes shape cross-cultural diffusion and whether visual memes can positively promote digital cultural globalization remains unclear. To answer these questions, we identified 1147 visual memes with 11,729 instances from four online communities on Instagram and Douban and manually annotated the memes in three dimensions, i.e., form, content, and emotion. Then, regression and structural causal models were designed to investigate the intrinsic factors affecting cross-cultural diffusion. Empirical results reveal that memes expressing focused and positive emotions, conveying universal topics, sourcing from films, using short captions, and featuring African or Caucasian roles are more likely to attain cross-cultural diffusion. In contrast, the memes featuring female or Asian roles are just the opposite. Moreover, the structural analysis of emotions, topics, and social identities suggests that although the dominance of Western culture and male groups persists in cross-cultural memes, visual memes have the potential to challenge the hegemonic power structures. From the prism of cross-cultural diffusion, the connotation of memes is enriched—expressive repertoires using multimodal discourses that can act as bridges between different cultures and languages. In summary, this research uncovered the effects of the intrinsic factors of visual memes on cross-cultural diffusion using regression and causal models for the first time and can help perform effective memetic engagement across different communities and cultures.
      原文链接:
    • NETL
    • NSTL
    • Elsevier