Comparing world regional sustainable supply chain finance using big data analytics:A bibliometric analysis

Purpose: Sustainable supply chain finance (SSCF) is a fascinated consideration for both academics and practitioners because the indicators are still underdeveloped in achieving SSCF. This study proposes a bibliometric data-driven analysis from the literature to illustrate a clear overall concept of SSCF that reveals hidden indicators for further improvement. Design/methodology/approach: A hybrid quantitative and qualitative approach combining data-driven analysis, fuzzy Delphi method (FDM), entropy weight method (EWM) and fuzzy decision-making trial and evaluation laboratory (FDEMATEL) is employed to address the uncertainty in the context. Findings: The results show that blockchain, cash flow shortage, reverse factoring, risk assessment and triple bottom line (TBL) play significant roles in SSCF. A comparison of the challenges and gaps among different geographic regions is provided in both advanced local perspective and a global state-of-the-art assessment. There are 35 countries/territories being categorized into five geographic regions. Of the five regions, two, Latin America and the Caribbean and Africa, show the needs for more improvement, exclusively in collaboration strategies and financial crisis. Exogenous impacts of wars, natural disasters and disease epidemics are implied as inevitable attributes for enhancing the sustainability. Originality/value: This study contributes to (1) boundary SSCF foundations by data driven, (2) identifying the critical SSCF indicators and providing the knowledge gaps and directions as references for further examination and (3) addressing the gaps and challenges in different geographic regions to provide advanced assessment from local viewpoint and to diagnose the comprehensive global state of the art of SSCF

Supply Chain Coordination under Trade Credit and Quantity Discount with Sales Effort Effects

The purpose of this paper is to investigate the role of trade credit and quantity discount in supply chain coordination when the sales effort effect on market demand is considered. In this paper, we consider a two-echelon supply chain consisting of a single retailer ordering a single product from a single manufacturer. Market demand is stochastic and is influenced by retailer sales effort. We formulate an analytical model based on a single trade credit and find that the single trade credit cannot achieve the perfect coordination of the supply chain. Then, we develop a hybrid quantitative analytical model for supply chain coordination by coherently integrating incentives of trade credit and quantity discount with sales effort effects. The results demonstrate that, providing that the discount rate satisfies certain conditions, the proposed hybrid model combining trade credit and quantity discount will be able to effectively coordinate the supply chain by motivating retailers to exert their sales effort and increase product order quantity. Furthermore, the hybrid quantitative analytical model can provide great flexibility in coordinating the supply chain to achieve an optimal situation through the adjustment of relevant parameters to resolve conflict of interests from different supply chain members. Numerical examples are provided to demonstrate the effectiveness of the hybrid model

Cost-sharing contract design in a low-carbon service supply chain

This paper investigates a service supply chain (SC) consisting of a service provider (SP) who is in charge of carbon emission reduction and service, and a service integrator (SI) who is responsible for low-carbon advertising, considering corporate social responsibility (CSR). Given that SP shares SI’s advertising cost, SI may have three types of cost sharing decisions, namely, not sharing any cost of SP (contract PA), sharing SP’s emission reduction cost (contract PAIE), or sharing SP’s service cost (contract PAIS). We establish three differential game models to explore the optimal decisions, and identify the conditions under which SP and SI would provide positive participation rates. Our findings demonstrate that consumers’ low-carbon preference, and chain members’ marginal profits and CSR behaviors significantly influence the optimal solutions. Furthermore, we indicate that two-way contracts (contracts PAIE and PAIS) could benefit the entire service SC and its members. Specifically, SI prefers contract PAIE when SP’s service cost efficiency is lower, whereas he would rather choose contract PAIS under a higher one. More importantly, contracts PAIS and PAIE would be the potential equilibrium contract when SI has a relatively high marginal profit. When it is sufficiently low, contracts PAIE and PA would be the possible equilibrium contract