Joint optimization of e-commerce supply chain financing strategy and channel contract

Chang, Shuhua; Li, Anqi; Wang, Xin; Wang, Xinyu

doi:10.1016/j.ejor.2022.03.013

Cited by 56 publications

(13 citation statements)

References 41 publications

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“…They obtain the equilibrium terms of the loan that the retailer offers to the supplier, and compare the platform and bank financing. Chang et al (2022) consider a supply chain that consists of an online retailer with capital constraint and an e-commerce platform. They compare the platform and bank financing modes and find that when working capital is low, platform direct financing has no advantage over bank financing.…”

Section: Literature Reviewmentioning

confidence: 99%

E-commerce platform financing versus trade credit financing: Financing mode selection for online retailer considering live-stream selling in China

Huang

Fan

et al. 2023

Front. Psychol.

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IntroductionThe rise of live-stream selling has made the e-commerce platform attractive to many small and medium-sized retailers that are often faced with capital constraints. The choice between the e-commerce platform financing (EPF) and trade credit financing (TCF) for the capital-constrained e-retailers engaging in live-stream selling is particularly important problem.MethodsThis paper considers a supply chain made up of a manufacturer, an e-commerce platform that offers live-stream selling service to consumers and an online retailer with capital constraint. We, respectively, investigate the optimal decisions of the supply chain enterprises under EPF and TCF modes based on Stackelberg game models and optimization theories.ResultsWe compare the profits of supply chain firms under different cases and obtain some important conclusions through theoretical and numerical analysis.DiscussionFirst, when the e-commerce platform’s commission rate is low enough, the retailer’s ordering quantity is, under EPF mode, greater than that evidenced without capital constraint. In addition, when the retailer’s marginal profit is high and the e-commerce platform’s commission rate is low, the online retailer should choose EPF mode; in other instances, TCF is its optimal choice. Second, the e-commerce platform can obtain the highest profit under EPF mode, while TCF mode will bring the highest profit to the manufacturer. Third, when the platform’s commission rate is below a certain threshold, the profit of the entire supply chain under EPF mode is larger than that of well-funded supply chain, but TCF mode cannot. Finally, we also find there exists the access threshold about the live-stream selling. Only when the commission rate is relatively high, the e-commerce platform should offers live-stream service to consumers and the live-stream investment is the highest under EPF mode.

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Section: Literature Reviewmentioning

confidence: 99%

E-commerce platform financing versus trade credit financing: Financing mode selection for online retailer considering live-stream selling in China

Huang

Fan

et al. 2023

Front. Psychol.

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“…Hofmann (2005) defined SCF as a concentric point of SCM, logistics and finance, where two or more organizations belonging to the same SC synergize to create value by managing the flow of finances within the organizations. Chang et al (2022) stated that SCF is more targeted to fulfill organizational needs, making it more efficient, fitting the entity's needs and being more economical. According to Pfohl and Gomm (2009), SCF is a value enhancement method for buyers and sellers by streamlining the processes of raising finance at optimal cost.…”

Section: Importance Of Supply Chain Financementioning

confidence: 99%

An integrated approach for modeling critical success factors for supply chain finance ecosystem

Joshi,

Sarkar,

Choubey

2024

JM2

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Purpose Supply chain finance (SCF) has become a vital ingredient that fosters growth and provides flexibility to the global supply chain. Thus, it becomes essential to understand the factors that contribute to the success of the supply chain finance ecosystem (SCFE). This study aims to identify the critical success factors (CSFs) for the development of an efficient and effective SCFE. Based on their characteristics, the study intends to classify the factors into constructs and further establish a hierarchical relationship among the CSFs. Design/methodology/approach The study is based on empirical data collected from 221 respondents based on administered questionnaires. Exploratory factor analysis (EFA) is carried out on 16 selected factors (out of 21 proposed factors) based on the feedback of the experts and the factors were classified into four constructs. The total interpretive structural modeling (TISM) model was developed by identifying and finalizing CSFs of the SCFE. The model developed a hierarchical relationship between the various factors. Findings The study identified significant CSFs for the efficient and effective SCF ecosystem. Four constructs were developed by analyzing CSFs using the EFA. The finalized 16 CSFs modeled through the TISM and further hierarchical relationship established between the CSFs concludes that governmental policies and sectoral growth are the strongest driving forces and financial attractiveness is the weakest driving force. Based on the CSFs and the constructs identified, it was found that for the success of the SCF ecosystem, the existence of an economic ecosystem provides a facilitating framework for the overall development of the SCFE. Also, the trustworthiness among the partners fosters better relationships and results in financial feasibility and offers business opportunities for all the stakeholders. Practical implications This study will help the SCF partners across the globe understand the CSFs that ensure development of mutually beneficial SCF ecosystems and provide flexibility to the supply chain partners. The CSFs would provide insights to the policymakers and the financial intermediaries for providing a conducive environment for the development of a better SCF ecosystem. Also, the buyers and sellers would understand the CSFs that would develop better relationships among them and ultimately help in development of business across the globe. Originality/value The study identifies the CSFs for the SCF ecosystem. The study ascertains the significant factors and classifies them into clusters using EFA. Unlike the literature available, the paper develops the hierarchical relationship between the CSFs and develops a model for an efficient and effective SCF ecosystem.

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“…In the realm of farmland transfer contracts, clan networks and spatial distance emerge as significant influencing factors. Clan networks facilitate communication and cooperation among farmers, enhancing willingness and cooperation in farmland transfer contracts [13]. Empirical research has shown that clan networks impact innovation and entrepreneurship, influencing the competitiveness of farmers' entrepreneurial enterprises and resource acquisition limitations [14,15].…”

Section: Literature Reviewmentioning

confidence: 99%

Clan Networks, Spatial Selection, and Farmland Transfer Contracts: Evidence from China

Hong,

Long,

Zhuo

2023

Land

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Contracts play a crucial role in the reform of land markets and the process of farmland transfer. This study examines how spatial distance and clan networks impact the choice of farmland transfer contracts based on micro-level survey data from farmer households in China. Our research findings offer valuable insights into the role of contracts as a governance tool in land market reform and provide important implications for policymakers and stakeholders. In this study, we reveal that spatial distance significantly influences the selection of farmland transfer contracts. When farmers face long spatial distances, they tend to prefer written contracts to regulate the transfer relationship. This preference helps to mitigate information asymmetry and cooperation risks, ensuring a more secure and efficient transfer process. Additionally, our findings show that clan networks also play a significant role in the choice of farmland transfer contracts. Strong clan networks in high-density areas often have well-defined social norms and codes of conduct. As a result, farmers in these areas are more likely to opt for written contracts, which provide a formalized framework for governing farmland transfers. Furthermore, the density of the clan network acts as a moderator in the relationship between spatial distance and contract choice. A dense clan network intensifies the influence of spatial distance on contract choice, especially when dealing with long spatial distances. This suggests that social networks and community dynamics play a crucial role in shaping farmers’ contract preferences in farmland transfer. In conclusion, this study highlights the importance of contracts as a governance tool in land market reform and provides insights into the influence of spatial distance and clan networks on the choice of farmland transfer contracts. Policymakers and stakeholders involved in land market reforms should consider the findings of this study when designing policies and interventions. By understanding the dynamics surrounding farmland transfer, policymakers can develop more effective strategies to promote secure and efficient land transactions in the context of market-oriented reforms.

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Joint optimization of e-commerce supply chain financing strategy and channel contract

Cited by 56 publications

References 41 publications

E-commerce platform financing versus trade credit financing: Financing mode selection for online retailer considering live-stream selling in China

E-commerce platform financing versus trade credit financing: Financing mode selection for online retailer considering live-stream selling in China

An integrated approach for modeling critical success factors for supply chain finance ecosystem

Clan Networks, Spatial Selection, and Farmland Transfer Contracts: Evidence from China

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