{"title":"Technology foresight in Indonesia: developing scenarios to determine electrical vehicle research priority for future innovation","authors":"Jaizuluddin Mahmud, Pudji Hastuti, Muhammad Fauzan Rafif, Lambas Parlaungan Panggabean, Irawan Santoso, Sarjono, Manifas Zubair, Rizki Arizal Purnama, Andika Dwi Saputra, Yosa Permata Shafira, Angy Sonia","doi":"10.1108/fs-09-2023-0194","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>In this study, the scenarios development process was conducted based on selected available experts, mostly internally from BRIN. Some biased opinions may be present.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>There have not been any TF studies regarding the development of EV technology research priority in Indonesia.</p><!--/ Abstract__block -->","PeriodicalId":51620,"journal":{"name":"Foresight","volume":"9 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Foresight","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/fs-09-2023-0194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"REGIONAL & URBAN PLANNING","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍：
■Social, political and economic science ■Sustainable development ■Horizon scanning ■Scientific and Technological Change and its implications for society and policy ■Management of Uncertainty, Complexity and Risk ■Foresight methodology, tools and techniques
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