Assessing the sustainable food system in Thailand under uncertainties: governance, distribution and storage drive technological innovation

Ming-Lang Tseng, Ming Lim, Mohd Helmi Ali, Gabriella Christianti, Patrapapar Juladachah

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
315 Downloads (Pure)

Abstract

This study contributes to the assessment of the sustainable food system in Thailand, showing that governance, distribution and storage lead to technological innovation under uncertainties. Prior studies to evaluate attributes of the sustainable food system under uncertainties are lacking. By nature, the sustainable food system has various attributes and applies the fuzzy Delphi method to construct a valid set of measurements of qualitative information. This study uses a fuzzy decision-making trial and evaluation laboratory method to visualize the causal-effect interrelationships among the proposed attributes. The food system needs to include governance and behavioral changes to assess quality, food waste and production. Practical solutions must focus on enhancing environmental friendliness, product labeling for authenticity arguments, and the reuse and recycling of products. The results show that production assessment and distribution and storage lead to technological innovation.
Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalJournal of Industrial and Production Engineering
Volume39
Issue number1
Early online date18 Jul 2021
DOIs
Publication statusPublished - 2 Jan 2022

Bibliographical note

This is an Accepted Manuscript version of the following article, accepted for publication in Journal of Industrial and Production Engineering, Tseng, M-L, Lim, M, Ali, MH, Christianti, G & Juladachah, P 2022, 'Assessing the sustainable food system in Thailand under uncertainties: governance, distribution and storage drive technological innovation', Journal of Industrial and Production Engineering, vol. 39, no. 1, pp. 1-18.

It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Funder

Ministry of Science and Technology, Taiwan (109-2622-E-468 −002 -)

Keywords

  • Sustainable food system
  • causal-effect analysis
  • fuzzy delphi method
  • fuzzy dematel
  • multi-criteria decision making

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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