IDENTIFYING AN OPTIMAL ECOSYSTEM MODEL OF REFUGEE-RELATED BUSINESSES VIA AN ONLINE SYSTEMS-BASED EVOLUTIONARY LEARNING LABORATORY: A CASE IN UGANDA

Eri Nakamura, Toshiyuki Yasui, Koki Kusano, Naohiko Kohtake, Seiko Shirasaka

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

Abstract

The number of refugees in the world peaked at 26.3 million as of mid-2020. More than 75 percent of these refugees are in a protracted situation, one in which refugees find themselves in a long-lasting and intractable state of limbo. However, the budget for refugee protection and care has not been sufficient for years. Due to the limited humanitarian and developmental budget, the role of refugee-related businesses is gaining more attention. The aim of this study is to show the feasibility of the partially online systems-based Evolutionary Learning Laboratory (ELLab) approach in the COVID-19 era via a case study of Uganda and to identify the current systems model of refugee-related businesses, their leverage points, and the action plans necessary for the development of an optimal systems model for refugee-related businesses. The authors suggested the efficacy of the online system-based ELLab and provided new ways for the application of the ELLab method in the COVID-19 era. They also managed to identify the current systems model of refugee-related businesses, their leverage points, and their action plans through the ELLab process.

Original languageEnglish
Title of host publicationProceedings of the 65th Annual Meeting of the International Society for the Systems Sciences, ISSS 2021 - The Art and Science of the Impossible
Subtitle of host publicationThe Human Experience
PublisherInternational Society for the Systems Sciences (ISSS)
ISBN (Electronic)9781713852544
Publication statusPublished - 2021
Event65th Annual Meeting of the International Society for the Systems Sciences, ISSS 2021 - Virtual, Online
Duration: 2021 Jul 82021 Jul 13

Publication series

NameProceedings of the 65th Annual Meeting of the International Society for the Systems Sciences, ISSS 2021 - The Art and Science of the Impossible: The Human Experience

Conference

Conference65th Annual Meeting of the International Society for the Systems Sciences, ISSS 2021
CityVirtual, Online
Period21/7/821/7/13

Keywords

  • Evolutionary Learning Laboratory (ELLab)
  • Uganda
  • business
  • online
  • refugees
  • systems thinking

ASJC Scopus subject areas

  • Control and Systems Engineering

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