Impacts of organizational arrangements on conservation agriculture: insights from interpretive structural modeling in Iran

Latifi, S and Hauser, M and Raheli, H and Movahhed Moghaddam, S and Viira, A H and Gökcin Ozuyar, P and Azadi, H (2020) Impacts of organizational arrangements on conservation agriculture: insights from interpretive structural modeling in Iran. Agroecology and Sustainable Food Systems (TSI), 45 (1). pp. 1-25. ISSN 2168-3565

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Abstract

Conservation agriculture (CA) has been promoted worldwide as an approach to sustainable resource management and better productivity. Promotion and adoption of CA in Iran have been receiving increased attention from the national government over recent years. Therefore, to speed up development of CA as a basis for sustainable development, drivers that influence the development of CA need to be identified and modeled. The main aim of this study is to present a comprehensive model for CA development in Iran by identifying the institutional drivers that influence its promotion and determining the relationship between drivers. At first, the drivers identified from the literature and interviews with experts, and the relationships among the drivers were explored and clarified using Interpretative Structural Modeling (ISM). A cross-impact matrix multiplication was applied to classification (MICMAC) analysis, which was then used to categorize the drivers in four sub-groups. The results showed that creating a suitable organizational structure is a very significant driving factor for CA development in Iran. Strong driving power and weak dependence associated with this factor should be treated as a critical driver. If CA shall expand more rapidly in future, then Iran’s government should invest in an appropriate organizational structure for it.

Item Type:	Article
Divisions:	Research Program : Innovation Systems for the Drylands (ISD)
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Sustainable development, Participatory research, Qualitative data analysis, Sustainable farming, MIMAC analysis
Subjects:	Others > Participatory Modeling Others > Data & Analytics Others > Sustainable Development
Depositing User:	Mr Arun S
Date Deposited:	28 Feb 2021 03:19
Last Modified:	28 Feb 2021 03:19
URI:	http://oar.icrisat.org/id/eprint/11716
Official URL:	https://doi.org/10.1080/21683565.2020.1751375
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	UNSPECIFIED
Links:	Google Scholar

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