A Coalition Formation Framework for Platform Cooperatives of Smallholder Farmers

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Sarkar, S (Author) Other; Malta, MC (Author) Other; Dutta, A (Author) Other

Conference proceedings International

Title: 2020 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT 2020)

Pages: 803-809

IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)

ELECTR NETWORK, DEC 14-17, 2020

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Other information

Authenticus ID: P-00V-CHV

DOI: 10.1109/wiiat50758.2020.00124

Abstract (EN): Over the years, workers have joined in producer organizations to face the difficulties that the capitalist market poses to them. Together they can gain efficiency and equity compared to big companies, and they can gain bargaining power over the product market. In our case, we target smallholder farmers who face many difficulties in increasing their welfare. To overcome them, they group together in producer organizations such as cooperatives. With the development of technology, it became possible for these cooperatives of workers to use the Web to operate - such type of organization and operation is called a Platform Cooperative (PC). This paper presents a multi-agent based modeling of Farmers' Coalition Formation (FCF) for smallholder farmers so that they can operate by means of a Platform cooperative. We present the design of a characteristic function that calculates the coalition values in this context, finds the best way of partitioning the farmers into smaller groups and divides the payoff in a stable manner. We empirically analyze the model using value distributions. The results show that forming coalitions is profitable for farmers. We also proved that the model ensures a fair distribution of the payoff among the farmers.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7