12 research outputs found

    Sharenting, Parenting, and Identifying: Can Privacy Prevail?

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    Technology and privacy are intertwined and often in conflict with each other. Nowhere is this more evident than in sharenting, the transmission of private details about children (e.g., pictures) via digital channels (e.g., social media) by an adult in charge of their well-being (i.e., parent or guardian). Sharenting can offer comfort to a parent, a sense of belonging to a community, and can give children a sense of pride from likes from family and friends. However, there are privacy and developmental risks for children from sharenting. We explore the relative roles of parent identity verification and the calculus of behavior in affecting sharenting decisions. Using data collected from 309 parents, we find that only perceived risk of sharenting affects the frequency of deleting posts while benefits and parental identity lead to a positive affect towards sharenting. Positive affect, however, is not linked to changes in frequency of deleting posts

    Introduction to E-Government Services and Information Minitrack

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    This mini-track explores various types of electronic services and information in the public sector. The mini-track includes five papers that address diverse e-government services from across the globe using both quantitative and qualitative measures

    Online communities: satisfaction and continued use intention

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    Introduction. We report on the development and testing of a model of online community continued use grounded in the information systems success model and the theory of reasoned action. We contribute to the online community literature by studying user intentions to continue use of an established professional online community.Method. The model is tested with a survey questionnaire completed by members of an established online community of academic professionals, with 1,675 responding.Analysis. Responses were analysed using partial least squares. Results. We offer empirical evidence of a theoretical integration of two established frameworks that provide a highly predictive model of both continued use and satisfaction. The results indicate that online community satisfaction is a strong predictor of continued use intention, together with perceived usefulness and post-adoptive subjective norm. Determinants of online community satisfaction include information quality and trust of the online community platform.Conclusion. In contrast to previous research, our finding that subjective norm is negatively related to continued use intention suggests that members of a dues-paying professional community may not be susceptible to opinions of others when deciding to continue using the online platform. The concept of post-adoptive subjective norm needs exploration in future research

    Establishing Election Integrity Online: The Role of Auditor Source Credibility in Voter Believability of Election Results

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    Despite concerns raised by security professionals, online voting is beginning to be used in some limited cases as a way for citizens to cast a ballot. In this research we investigate voter believability of election results conducted online as it relates to auditor source credibility and process design through an experimental scenario survey related to the 2020 United States election. Our results suggest source credibility of auditors is essential for voters to believe an election result where ballots are cast online. We also find a strong partisan effect on perceptions of source credibility and election results believability. Implications for research and practice are discussed as well as opportunities for future research
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