Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 553621
Title Agent-Based Simulation of Local Soy Value Chains in Ghana
Author(s) Verwaart, Tim; Dijkxhoorn, Youri; Plaisier, Christine; Wagenberg, Coen Van
Source In: Progress in Artificial Intelligence. - Springer (Progress in Artificial Intelligence ) - ISBN 9783030302436 - p. 654 - 666.
Event 19th EPIA Conference on Artificial Intelligence (2019), Vila Real, 2019-09-03/2019-09-06
Department(s) Data Science, Information Management & Projectmanagement Organisation
Consumer and Chain
International Policy
Publication type Peer reviewed book chapter
Publication year 2019
Abstract The assessment of changes in the relationships between supply chain agents is considered fundamental for market transformation. This paper reports on the application of a Value Chain Lab that supports the measurement of behavioral change in vertically structured supply-chain relationships. A participative gaming approach is used that enables to identify changes in mutual trust, transaction costs and risk behavior that result from value chain support and co-operation. The Value Chain Lab comprises value chain analysis, value chain games and multi-agent simulation. The paper describes the multi-agent simulation of a soy value chain in northern Ghana. The research was conducted in the context of the 2SCALE program, aiming to improve rural livelihoods and food and nutrition security in a number of African countries by developing agricultural supply chains including local smallholder farmers. The study confirms the positive effects of trust and loyalty in value chain relationships. Furthermore, it demonstrates the usefulness of agent-based simulations for exploring potential consequences of alternative interventions.
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