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Recognizing and Mitigating the Negative Effects of Information Technology Use: A Systematic Review of Persuasive Characteristics in Information Systems

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Nordic Contributions in IS Research (SCIS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 326))

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Abstract

Although information systems and technology have brought many benefits into people’s everyday lives, not to mention society as a whole, they are also accompanied by negative consequences. For example, technostress, anxiety, and even different kinds of addictions are among the side effects of information technology use. Clearly, such negative consequences cannot be fully avoided, but at least some of them may be mitigated via good system design. In this study, we addressed the dark side of information technology use in everyday life and in a leisure context, reviewing contributions from the basket of eight information systems journals published between 2004 and early 2018. In our analysis, we utilized the Persuasive Systems Design model in order to recognize and analyze information system characteristics that may mitigate the negative consequences of information technology use.

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Notes

  1. 1.

    http://aisnet.org/?SeniorScholarBasket

  2. 2.

    We utilized the basket of eight IS journals, which included the following top journals in the IS field: MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, European Journal of Information Systems, Information Systems Journal, Journal of Information Technology, and Journal of Strategic Information Systems. See: https://aisnet.org/?SeniorScholarBasket

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Correspondence to Liisa Kuonanoja .

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Kuonanoja, L., Oinas-Kukkonen, H. (2018). Recognizing and Mitigating the Negative Effects of Information Technology Use: A Systematic Review of Persuasive Characteristics in Information Systems. In: Müller, S., Nielsen, J. (eds) Nordic Contributions in IS Research. SCIS 2018. Lecture Notes in Business Information Processing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-96367-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-96367-9_2

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