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SYSTEM DESIGN CANVAS FOR IDENTIFYING LEVERAGE POINTS IN COMPLEX SYSTEMS: A CASE STUDY OF THE AGRICULTURAL SYSTEM MODELS, CAMBODIA

Published online by Cambridge University Press:  27 July 2021

Akinori Komaki ,
Akira Kodaka ,
Eri Nakamura ,
Yu Ohno  and
Naohiko Kohtake
Akinori Komaki*
Affiliation:
Graduate School of System Design and Management, Keio University
Akira Kodaka
Affiliation:
Graduate School of System Design and Management, Keio University
Eri Nakamura
Affiliation:
Graduate School of System Design and Management, Keio University
Yu Ohno
Affiliation:
Graduate School of System Design and Management, Keio University
Naohiko Kohtake
Affiliation:
Graduate School of System Design and Management, Keio University
*
Komaki, Akinori, Keio University, Graduate School of System Design and Management, Japan, sun.stone.mind@gmail.com

Abstract

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There has been a growing recognition that a systems thinking approach, which pays attention to the entire dynamic system, its constituent parts and the interactions among those parts, is an effective approach for tackling complex issues that exhibit nonlinear behaviour and involve multiple stakeholders. To understand a complex system, a systems thinking approach must identify the leverage points, which are non-intuitive and difficult to identify. This paper proposes a design tool called System Design Canvas, which supports the identification of system variables and leverage points from technological sensing data and human data while understanding stakeholders' mental model. The present case study confirms that System Design Canvas can identify system variables and leverage points that are required for the current agricultural system in Cambodia.

Keywords

Design methodsDesign methodologyDesign processDesign CanvasSystems Design
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 2901 - 2910
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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