Decision making in trade credit financing: impact of loss aversion and power imbalance

Author(s):  
Wei Jin ◽  
Qinhong Zhang
Author(s):  
Ali Akbar Shaikh ◽  
Subhash Chandra Das ◽  
Asoke Kumar Bhunia ◽  
Biswajit Sarkar

This study introduces a decision-making policy for a two-warehouse system with a non-instantaneous deteriorating product for credit facility with demand depending on the product price. Two different selling prices are considered in the deterioration and non-deterioration periods. Shortages are partially considered and dependent on the duration of the arrival of fresh lot. Alternative trade-credit is applied herein, and several situations are investigated in this approach. The optimization problems of the situations are solved using an interval-oriented multi-section technique via interval mathematics and its order relations. Three numerical examples are studied and solved to validate the said problem.


2021 ◽  
Vol 13 (3) ◽  
pp. 1357
Author(s):  
Xiaoli Zhang ◽  
Guoyi Xiu ◽  
Fakhar Shahzad ◽  
Yupeng Duan

The purpose of this research is to examine the green supply chain (GSC) financing decisions of manufacturers and capital-constrained retailers in order to establish a Stackelberg game model under decentralized and centralized decision-making. This paper studies the influence of retailers’ choice of trade credit or bank loan financing strategy on a GSC’s performance and analyzes their decision-making tendency. The results show that manufacturers should provide trade credit and participate in retailers’ financing decisions to avoid double marginal effects under both centralized and decentralized decision-making. Interestingly, the optimal value of green marketing effort and retailer order quantity was twice as high as the decentralized under the centralized decision, indicating that the centralized decision could better improve GSC’s financing efficiency. Especially when the trade credit financing strategy is feasible, this effect is more significant. Finally, the outcomes are verified through numerical simulation, which references GSC practitioners in management decisions.


Stress ◽  
2021 ◽  
pp. 1-7
Author(s):  
Francisco Molins ◽  
Carla Ayuso ◽  
Miguel Ángel Serrano

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Haoxiong Yang ◽  
Enlu Shao ◽  
Yuanyuan Gong ◽  
Xiaolin Guan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph Emmanuel Tetteh ◽  
Christopher Boachie

PurposeThis paper attempts to investigate the influence of psychological biases on saving decision-making of bank customers in Ghana.Design/methodology/approachIt employs weighted least squares regression to test the effect of psychological biases on savings decisions of bank customers.FindingsThe findings show that all the nine psychological biases, namely mental accounting, availability, loss aversion, representativeness, anchoring, overconfidence, status quo, framing effect and disposition effect employed for the study have a significant influence on saving decision of bank customers. The results depict that psychological biases are entrenched in the saving pattern of bank customers in Ghana.Practical implicationsFor policy purposes, the study recommends that bank customers need to enhance their knowledge of psychological biases in order to improve their gains from savings, and not to fall prey to these prejudices. The satisfied customer is a dependable source of bank viability and survival.Originality/valueTo the best of the knowledge of the author, this study provides the first empirical evidence of the influence of psychological biases on saving decisions of bank customers in Ghana. The findings of this study will enhance knowledge on the influence of psychological biases on individual decision-making and will accentuate the fact that the individual is not an entirely rational being.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Liying Li ◽  
Yong Wang

This study investigates the channel coordination issue of a supply chain with a risk-neutral manufacturer and a loss-averse retailer facing stochastic demand that is sensitive to sales effort. Under the loss-averse newsvendor setting, a distribution-free gain/loss-sharing-and-buyback (GLB) contract has been shown to be able to coordinate the supply chain. However, we find that a GLB contract remains ineffective in managing the supply chain when retailer sales efforts influence the demand. To effectively coordinate the channel, we propose to combine a GLB contract with sales rebate and penalty (SRP) contract. In addition, we discover a special class of gain/loss contracts that can coordinate the supply chain and arbitrarily allocate the expected supply chain profit between the manufacturer and the retailer. We then analyze the effect of loss aversion on the retailer’s decision-making behavior and supply chain performance. Finally, we perform a numerical study to illustrate the findings and gain additional insights.


Author(s):  
Aditi Khanna ◽  
Prerna Gautam ◽  
Chandra K. Chandra K.

The production processes throughout the world aim at improving quality by introducing latest technologies so as to perform well in fierce competition. Despite this due to various unavoidable factors, most of the manufacturing processes end up with certain imperfections. Hence, all the items produced are not of perfect quality. The condition tends to be more susceptible while dealing with items of deteriorating quality; therefore an inspection process is must for screening good quality items from the ordered lot. Demand is assumed to be price dependent and it is represented by a constant price elasticity function. Also to endure with the rapid growth and turbulent markets, the suppliers try to engage and attract retailers through various gimmicks and one such contrivance is offering trade credit, which is proved to be an influential strategy for attracting new customers. In view of this, the present paper develops an inventory model for items of imperfect quality with deterioration under trade-credit policies with price dependent demand. Shortages are allowed and fully backlogged. A mathematical model is developed to depict this scenario. The aim of the study is to optimize the optimal order level, backorder level and selling price so as to maximize the retailer’s total profit. Findings are validated quantitatively by using numerical analysis. Sensitivity analysis is also performed so as to cater some important decision-making insights.


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