A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR

Moglia, Magnus, Alexander, Kim S., Thephavanh, Manithaythip, Thammavong, Phomma, Sodahak, Viengkham, Khounsy, Bountom, Vorlasan, Sysavanh, Larson, Silva, Connell, John, and Case, Peter (2018) A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR. Agricultural Systems, 164. pp. 84-94.

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DOI: 10.1016/j.agsy.2018.04.004

View at Publisher Website: https://doi.org/10.1016/j.agsy.2018.04.0...

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Abstract

A Bayesian Network model has been developed that synthesizes findings from concurrent multi-disciplinary research activities. The model describes the many factors that impact on the chances of a smallholder farmer adopting a proposed change to farming practices. The model, when applied to four different proposed technologies, generated insights into the factors that have the greatest influence on adoption rates. Behavioural motivations for change are highly dependent on farmers’ individual viewpoints and are also technology dependent. The model provides a boundary object that provides an opportunity to engage experts and other stakeholders in discussions about their assessment of the technology adoption process, and the opportunities, barriers and constraints faced by smallholder farmers when considering whether to adopt a technology.


Item ID:	53277
Item Type:	Article (Research - C1)
ISSN:	1873-2267
Keywords:	innovation diffusion; Bayesian networks; small-holder farmers; rice agriculture; Laos; Lao PDR
Funders:	Australian Centre for International Agricultural Research (ACIAR)
Projects and Grants:	ACIAR project no. ASEM/2014/052
Date Deposited:	20 Jul 2018 00:32
FoR Codes:	35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3507 Strategy, management and organisational behaviour > 350705 Innovation management @ 50% 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300207 Agricultural systems analysis and modelling @ 50%
SEO Codes:	91 ECONOMIC FRAMEWORK > 9104 Management and Productivity > 910406 Technological and Organisational Innovation @ 100%
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