An evolutionary game theory approach for analyzing risk-based financing schemes

被引:1
|
作者
Johari, Maryam [1 ,2 ]
Hosseini-Motlagh, Seyyed-Mahdi [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Ind Engn, Univ Rd,Hengam St,Resalat Sq,Narmak, Tehran, Iran
[2] Yazd Univ, Dept Ind Engn, Yazd 8915818411, Iran
关键词
Evolutionary game theory; One-population game; Risk-based trade credit; Pricing; TRADE CREDIT; SUPPLY CHAIN; DEFAULT RISK; COORDINATING CONTRACTS; STABLE STRATEGIES; DEPENDENT DEMAND; RETAILERS; DECISIONS; PERIOD; MODEL;
D O I
10.1007/s10479-023-05308-3
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
To achieve a competitive advantage, corporations are growingly adopting strategies to effectively promote their market demand. Trade credit payment and pricing strategies provided by corporates can efficiently influence customers' purchasing behavior. Although granting a trade credit strategy can increase corporations' market share, such a strategy is a risk-based financing program for corporations. Therefore, corporates should choose whether to use trade credit financing in their long-term. This paper proposes an analytical model to investigate the evolutionary behaviors of retailers regarding pricing and trade credit strategies in the long term. In the study under investigation, retailers can use two financing strategies: risk-based trade credit and non-trade credit (i.e., pricing). This study provides both numerical and analytical findings. Our findings demonstrate that the risk-based trade credit strategy is the stationary financing solution for retailers in the long term. The result indicates that when customers are financially constrained, providing a trade credit scheme to customers is a successful marketing policy in both short-term and long-term frameworks.
引用
收藏
页码:1637 / 1660
页数:24
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