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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 619 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 604 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE | - |
dc.citation.volume | 25 | - |
dc.contributor.author | Kim, Min-Jun | - |
dc.contributor.author | Lim, Chiehyeon | - |
dc.contributor.author | Kim, Kwang-Jae | - |
dc.date.accessioned | 2023-12-21T19:46:26Z | - |
dc.date.available | 2023-12-21T19:46:26Z | - |
dc.date.created | 2019-01-31 | - |
dc.date.issued | 2018-12 | - |
dc.description.abstract | Various types and massive amounts of data are collected in the automotive industry. Such data proliferation facilitates and improves the design of services for vehicle operations management (VOM). A VOM service is a service that helps drivers drive safely, conveniently, and pleasurably with the use of VOM-related data. Despite the applicability of big data to VOM service design, few efforts have been made to establish a big data-based design process for VOM services. To fill the research gap, this study proposes an approach to analyzing and utilizing VOM-related data for designing VOM services. The proposed approach aids service designers in designing VOM services by using VOM-related data. A case study on the design of an eco-driving service, a popular VOM service, is presented to demonstrate the feasibility and effectiveness of the approach. The proposed approach could facilitate the design of VOM services and provide a foundation for data-driven service innovations. | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, v.25, no.5, pp.604 - 619 | - |
dc.identifier.issn | 1072-4761 | - |
dc.identifier.scopusid | 2-s2.0-85058136541 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/25833 | - |
dc.identifier.url | http://journals.sfu.ca/ijietap/index.php/ijie/article/view/3689 | - |
dc.identifier.wosid | 000456069800005 | - |
dc.language | 영어 | - |
dc.publisher | UNIV CINCINNATI INDUSTRIAL ENGINEERING | - |
dc.title | A DATA-DRIVEN APPROACH TO DESIGNING NEW SERVICES FOR VEHICLE OPERATIONS MANAGEMENT | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial; Engineering, Manufacturing | - |
dc.relation.journalResearchArea | Engineering | - |
dc.description.journalRegisteredClass | scie | - |
dc.subject.keywordAuthor | data-driven | - |
dc.subject.keywordAuthor | service design | - |
dc.subject.keywordAuthor | vehicle operations management | - |
dc.subject.keywordAuthor | eco-driving service | - |
dc.subject.keywordPlus | INFORMATION | - |
dc.subject.keywordPlus | DISCOVERY | - |
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