Moglia, Magnus; Alexander, Kim S; Thephavanh, Manithaythip; Thammavong, Phomma; Sodahak, Viengkham; Khounsy, Bountom; Vorlasan, Sysavanh; Larson, Silva; Connell, John; Case, Peter

Author(s)

Moglia, Magnus

Alexander, Kim S

Thephavanh, Manithaythip

Thammavong, Phomma

Sodahak, Viengkham

Khounsy, Bountom

Vorlasan, Sysavanh

Larson, Silva

Connell, John

Case, Peter

Publication Date

2018-07

Abstract

<p>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.</p>

Citation

Agricultural Systems, v.164, p. 84-94

ISSN

1873-2267

0308-521X

Link

https://hdl.handle.net/1959.11/63267

Publisher

Elsevier BV

Title

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

Type of document

Journal Article

Entity Type

Publication

Author(s)	Moglia, Magnus Alexander, Kim S Thephavanh, Manithaythip Thammavong, Phomma Sodahak, Viengkham Khounsy, Bountom Vorlasan, Sysavanh Larson, Silva Connell, John Case, Peter
Publication Date	2018-07
Abstract	<p>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.</p>
Citation	Agricultural Systems, v.164, p. 84-94
ISSN	1873-2267 0308-521X
Link	https://hdl.handle.net/1959.11/63267
Publisher	Elsevier BV
Title	A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR
Type of document	Journal Article
Entity Type	Publication

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

Files: