A DATA-DRIVEN APPROACH TO DESIGNING NEW SERVICES FOR VEHICLE OPERATIONS MANAGEMENT
SCIE
SCOPUS
- Title
- A DATA-DRIVEN APPROACH TO DESIGNING NEW SERVICES FOR VEHICLE OPERATIONS MANAGEMENT
- Authors
- Kim, Min-Jun; Lim, Chiehyeon; Kim, Kwang-Jae
- Date Issued
- 2018-04
- Publisher
- UNIV CINCINNATI INDUSTRIAL ENGINEERING
- 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.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/94981
- ISSN
- 1943-670X
- Article Type
- Article
- Citation
- INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, vol. 25, no. 5, page. 604 - 619, 2018-04
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