Sign in Subscribe
Climate change

Data-Driven Public Policy for Electric Vehicles through Open Innovation

Strategic Insights

— 1 min read

Research findings on information technology have identified electric vehicles as a viable solution to transport emissions, which contribute to greenhouse gases and climate change. A new study proposes a data-driven public policy for electric vehicles through open innovation and dynamic consumer preferences, using macro-level big data from social media for decision-making. The study investigates the adoption of electric vehicles in Indonesia, a developing nation with significant transportation ownership, and develops open innovation strategies and public policy development.

Key Takeaways:

  • Electric vehicles account for only around 1% of total sales in numerous countries, highlighting the need for public policy development and open innovation strategies.
  • The study proposes a data-driven public policy for electric vehicles through open innovation and dynamic consumer preferences, using macro-level big data from social media for decision-making.
  • The case study on the adoption of electric vehicles in Indonesia demonstrates the feasibility and effectiveness of the proposed method.
  • The research concludes that the government can enhance public policy by offering incentives, improving battery and charging infrastructure, investing in user-friendly facilities, and streamlining the distribution of electric vehicles.
  • The study identifies always-priority attributes (battery), changing attributes (EV cost/price and comfortable facilities), and unique attributes (entertainment events of EVs and electricity for online drivers) as key factors for electric vehicle adoption.
  • The researchers suggest that integrating Dynamic-Product Improvability Index-Importance Performance Analysis (D-PII-IPA) with Latent Dirichlet Allocation (LDA), Sentiment Analysis, and time series analysis can improve the public policy for electric vehicles.

Statistics:

  • Electric vehicles account for only around 1% of total sales in numerous countries.
  • The study uses macro-level big data from social media for decision-making, analyzing over 100,000 social media posts related to electric vehicles.
  • The Dynamic-Product Improvability Index-Importance Performance Analysis (D-PII-IPA) model is used to develop open innovation strategies and public policy development.
  • The study identifies 100 improvement ideas and innovation priorities for electric vehicles.

Sources:

  • Data-driven public policy for electric vehicles (EV) through open innovation and dynamic consumer preferences: A time-series social media analysis using integrated IPA-product improvability model. Journal of Open Innovation: Technology, Market and Complexity, 2025,11(3):100583.
  • Universitas Islam Indonesia, Departement of Industrial Engineering, Faculty of Industrial Technology.
  • Journal of Open Innovation: Technology, Market and Complexity, published by Elsevier.

Read more