Demand Prediction by Incorporating Internet-of-Things Data: A Case of Automobile Repair and Maintenance Service

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dc.contributor.authorZhang, Jieyi
dc.contributor.authorYang, Cenying
dc.contributor.authorFeng, Yihao
dc.date.accessioned2023-12-26T18:45:33Z
dc.date.available2023-12-26T18:45:33Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.601
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other8b7c5467-f6c9-44a8-8da1-6c5b6cdd7ca0
dc.identifier.urihttps://hdl.handle.net/10125/106986
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectThe Internet of Everywhere (IoE): Places, People, and Things
dc.subjectdemand prediction
dc.subjectinternet of things
dc.subjectproduct-service systems
dc.titleDemand Prediction by Incorporating Internet-of-Things Data: A Case of Automobile Repair and Maintenance Service
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractWhile anecdotal evidence highlights the value of Internet-of-Things (IoT) data for business operations, rigorous empirical validation is still limited. The key challenge lies in integrating IoT analytics into business evaluation. To address the issues, we focus on the automotive industry and study the value of telematics data, an important IoT application in this domain, in terms of predicting maintenance, repair, and operations (MRO) service demands. Our approach involves building a prediction system with users’ driving behavior, MRO service records, and environmental data (weather and traffic). We show a substantial improvement in prediction performance upon incorporating user behavior information derived from IoT data. Specifically, we find that hard acceleration, hard braking, and speeding rank the third, fifth, and sixth, respectively, in terms of their contribution to the MRO prediction. Our results shed light on the design of product-service systems (PSS), an emerging trend to integrate product offerings with service offerings.
dcterms.extent10 pages
prism.startingpage5017

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