Technology foresight in Indonesia: developing scenarios to determine electrical vehicle research priority for future innovation
Purpose The purpose of this study is to determine research areas that are most favorable in supporting the development and manufacturing of electric vehicle (EV) components locally in Indonesia for 2025–2035. Therefore, will provide direction for the formulation of the related government policies and programs. Consequently, an EV technology research priority must be identified. Design/methodology/approach A technology foresight (TF) procedure which consists of a STEEPV analysis, followed by scenarios development and expert elicitation techniques, was conducted to determine an EV technology research priority that may direct future specific local component innovations, and therefore businesses. Findings The results of this study indicate that research in a range of EV battery technologies, technologies relating to a variety of key components (to increase local content) and autonomous systems were important to support the local development and manufacturing of EV components in Indonesia. Research limitations/implications In this study, the scenarios development process was conducted based on selected available experts, mostly internally from BRIN. Some biased opinions may be present. Originality/value There have not been any TF studies regarding the development of EV technology research priority in Indonesia.
Authors
- Manifas Zubair
- Jaizuluddin Mahmud (ORCID: https://orcid.org/0000-0002-5054-1361)
- Sarjono Sarjono
- Andika D Saputra (ORCID: https://orcid.org/0000-0002-7301-3668)
- Pudji Hastuti
- Yosa Permata Shafira
- Angy Sonia
- Muhammad Fauzan Rafif
- Lambas Parlaungan Panggabean
- Rizki Arizal Purnama
- Irawan Santoso
Institutions
- National Nuclear Energy Agency of Indonesia (ID)
Publication Details
- Journal
- foresight
- Published
- 2024-09-14
- DOI
- https://doi.org/10.1108/fs-09-2023-0194
- Citations
- 3
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.63