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Looking for quality in trash: data quality in IoT litter-bins
Umeå University, Faculty of Social Sciences, Department of Informatics.ORCID iD: 0000-0002-2394-8457
Umeå University, Faculty of Social Sciences, Department of Informatics.ORCID iD: 0000-0003-1974-1100
2023 (English)In: ECIS 2023: Reseach papers, 2023, article id 334Conference paper, Published paper (Refereed)
Abstract [en]

Internet of Things (IoT) holds significant potential for municipal efficiency and effectiveness. It enables subsystems to seamlessly communicate and permits their integration into a connected whole, affording new opportunities for value creation. In this paper, we present a study of municipal litter-bins that have been retrofitted with sensors to convey data on trash volume in each receptacle. Based on interviews, strategy documents, and notes from project meetings, we analyse their implementation from a data quality perspective and reflect on social- and technical issues. The case illustrates the propensity and consequences of overestimating benefits and oversimplifying technical interventions. This paper contributes to our practical understanding of socio-technical implications of technology use in the public sector in general and the deployment of IoT for smart cities in particular.

Place, publisher, year, edition, pages
2023. article id 334
Keywords [en]
Smart city, Internet of Things, data quality, qualitative study
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:umu:diva-208399OAI: oai:DiVA.org:umu-208399DiVA, id: diva2:1758666
Conference
European Conference on Information Systems (ECIS), Kristiansand, Norway, June 11-16, 2023
Projects
Det inkluderande, hållbara och uppkopplade samhället
Funder
Vinnova, 2020-04106Available from: 2023-05-23 Created: 2023-05-23 Last updated: 2024-08-02Bibliographically approved

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Saarikko, TedLundström, Anders

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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Output format
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  • asciidoc
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