Financing options for logistics firms considering product quality loss

Purpose This paper aims to investigate the impact of quality loss in transit on e-commerce supply chain pricing, production and financing decisions. Design/methodology/approach The authors consider a Stackelberg game model with a supplier, logistics firm and e-commerce platform. The logistics firm is capital-constrained and obtains funding from the e-commerce platform by debt financing or equity financing. Through backward induction, this paper first solves the equilibrium results under the two financing schemes and then reveals the financing preferences of all parties. Findings The results demonstrate that equity financing reduces financing costs and promotes production significantly. However, it may also lead to overproduction, particularly in markets with poor profitability and high cost factors. When the percentage of product quality loss is large, equity financing is preferable. With the increasing of transportation level, the benefits of debt finance are steadily growing. In addition, equity financing is the Pareto dominant scheme for all firms under certain circumstances. The extensions consider hybrid financing and another quality loss type. Practical implications The paper derives the equilibrium solutions and financing preferences, then specifies the threshold for applying financing schemes. Provide guidance for logistics firms’ finance model innovation and core enterprise involvement in the logistics industry. Originality/value The paper investigates how logistics firms’ financing strategies are impacted by product quality loss.

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Publication Details

Journal
Journal of Modelling in Management
Published
2024-09-03
DOI
https://doi.org/10.1108/jm2-12-2023-0296
Citations
1
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.53
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article

Financing options for logistics firms considering product quality loss

Yue Wu, Gongbing Bi, Hang Xu
1 citations
Journal of Modelling in Management
Supply Chain and Inventory Management
0.53
article

Financing options for logistics firms considering product quality loss

Yue Wu, Gongbing Bi, Hang Xu
article en
1 citations

Abstract

Purpose This paper aims to investigate the impact of quality loss in transit on e-commerce supply chain pricing, production and financing decisions. Design/methodology/approach The authors consider a Stackelberg game model with a supplier, logistics firm and e-commerce platform. The logistics firm is capital-constrained and obtains funding from the e-commerce platform by debt financing or equity financing. Through backward induction, this paper first solves the equilibrium results under the two financing schemes and then reveals the financing preferences of all parties. Findings The results demonstrate that equity financing reduces financing costs and promotes production significantly. However, it may also lead to overproduction, particularly in markets with poor profitability and high cost factors. When the percentage of product quality loss is large, equity financing is preferable. With the increasing of transportation level, the benefits of debt finance are steadily growing. In addition, equity financing is the Pareto dominant scheme for all firms under certain circumstances. The extensions consider hybrid financing and another quality loss type. Practical implications The paper derives the equilibrium solutions and financing preferences, then specifies the threshold for applying financing schemes. Provide guidance for logistics firms’ finance model innovation and core enterprise involvement in the logistics industry. Originality/value The paper investigates how logistics firms’ financing strategies are impacted by product quality loss.

Journal of Modelling in ManagementVol. 19(6)
University of Science and Technology of China (CN)
Openalex Percentile: Top 27%
Supply Chain and Inventory Management
0.53
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Financing options for logistics firms considering product quality loss — Yue Wu, Gongbing Bi, et al. · Journal of Modelling in Management (2024) | TGRS Research Map | TGRS