TY - JOUR AU - Kim, Min-Jun AU - Lim, Chiehyeon AU - Kim, Kwang-Jae PY - 2019/01/03 Y2 - 2024/03/28 TI - A DATA-DRIVEN APPROACH TO DESIGNING NEW SERVICES FOR VEHICLE OPERATIONS MANAGEMENT JF - International Journal of Industrial Engineering: Theory, Applications and Practice JA - Int J Ind Eng VL - 25 IS - 5 SE - IJIE 2016 Conference DO - 10.23055/ijietap.2018.25.5.3689 UR - https://journals.sfu.ca/ijietap/index.php/ijie/article/view/3689 SP - AB - 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. ER -