Inverse Innovation: Ripple Railway Model to Acquire Local Industries Based on User's Viewpoint in Thailand

Satoshi Funabashi, Ryuya Sato, Tamon Miyake, Ryosuke Tsumura, Kinji Mori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Since the deceleration of the markets of infrastructures in developed economies occurred, the growing demand for infrastructure development in semi-developed countries has become more outstanding. Semi-developed countries such as Thailand aims to become a developed country. However, it is stuck in 'semi-developed country trap'. To break through this, Thai people need local industries with high-added value. Therefore, we proposed an inversed innovative strategy focusing on railway industry. At first, how railway industry was established so far was investigated for finding keys to establish it. Next, we had field trips so that we can find real needs from Thai people. Actually, many countries compete in Thai railway markets. Thus, a comparison between our proposal and others were made. Our proposal for establishing railway industry includes some steps to get local industry focusing on Thai situation. Finally, it also presents ASEAN market as a future plan after they acquire their local industries.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 13th International Symposium on Autonomous Decentralized Systems, ISADS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-286
Number of pages6
ISBN (Electronic)9781509040414
DOIs
Publication statusPublished - 2017 May 17
Event13th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2017 - Bangkok, Thailand
Duration: 2017 Mar 222017 Mar 24

Other

Other13th IEEE International Symposium on Autonomous Decentralized Systems, ISADS 2017
CountryThailand
CityBangkok
Period17/3/2217/3/24

Keywords

  • education
  • emerging country
  • infrastructure developments
  • railway
  • social innovation

ASJC Scopus subject areas

  • Control and Optimization
  • Control and Systems Engineering

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