ASSESSING INFORMATION QUALITY IN AN “INTERNET-OF-THINGS”

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cbardaki

ASSESSING INFORMATION QUALITY IN AN “INTERNET-OF-THINGS”

Category : Paper Series EN

Issue No. 63 (September – November 2010)

This article investigates information quality of object tracking systems. Real world applications that depend on object location tracking range from supply chain management, healthcare, livestock detection, food traceability and retail to natural disasters prevention. We employ an analytical approach to measure objectively the degree of information quality of object tracking systems based on their data capturing and identification capabilities. We contend that different configurations of an object tracking system influence its information quality. The model may be used for both ex-ante and ex-post evaluations of object tracking systems in order to assess their information quality requirements, considering that their use is expected to blossom in the “Internet-of-Things” era.

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