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Information overload: coping mechanisms and tools impact

Philippe Aussu
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Philippe Aussu: LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - Université Paris-Saclay - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: The issue of information overload is becoming increasingly prevalent in society and the workplace, with the widespread use of digital technologies and big data. However, this phenomenon has led to negative effects at the organizational level, such as time loss, decreased efficiency, and poor employee health, among others. In academic literature, information overload is part of a new research trend in information systems management (MSI), known as the "dark side of IT," which focuses on studying the negative effects of organizational use of ICT to propose solutions. Thus, our research objective explores the role of software tools and their features as coping strategies in response to information overload. Specifically, we want to study the features and uses of software tools used by managers to reduce their information overload. The literature on information overload identifies its determinants, consequences, and mechanisms for alleviation. Research on alleviation mechanisms, particularly on the role of tools, is still in its early stages and deserves greater attention. This research is important because it addresses the call from the information systems research community for the urgent need to promote healthy management of the interaction between humans and technologies and its implications for workplace health.

Keywords: Information Overload; Coping Strategies; Use of software tools (search for similar items in EconPapers)
Date: 2023-05-23
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Citations: View citations in EconPapers (1)

Published in Selmin Nurcan; Andreas L. Opdahl; Haralambos Mouratidis; Aggeliki Tsohou. Research Challenges in Information Science: Information Science and the Connected World, 17th International Conference, RCIS 2023, Corfu, Greece, May 23–26, 2023, Proceedings, 476, Springer Nature Switzerland, pp.661-669, 2023, Lecture Notes in Business Information Processing, 978-3-031-33079-7. ⟨10.1007/978-3-031-33080-3_49⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04179618

DOI: 10.1007/978-3-031-33080-3_49

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