Analysis of the key influencing factors of China’s cross-border e-commerce ecosystem based on the DEMATEL-ISM method

Xi, Xiaodan; Ming-xia, Wei; Teo, Brian Sheng-Xian

doi:10.1371/journal.pone.0287401

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…Meanwhile, Chinese cross-border e-commerce has also grown rapidly, with total transactions growing 32% annually [7], and by 2021 China's cross-border e-commerce market size had reached CNY 19.8 trillion [8]. According to data from the E-commerce Research Centre, in the first half of 2022 alone, the cross-border e-commerce market size had exceeded CNY 7 trillion, accounting for 35.85% of China's total import and export of goods valued at CNY 19.8 trillion [9]. Although the market size has increased rapidly, the return rate by users of cross-border e-commerce has also increased year by year for various reasons.…”

Section: Introductionmentioning

confidence: 99%

Research on B2C Cross-Border Electronic Commerce Return Logistics Model Selection Based on Estimated Return Rate

Li,

2024

JTAER

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This paper investigates the estimated return rate and optimal order quantity under three cross-border e-commerce return logistics modes: direct mail (from predecessor), in situ destruction (new), and insurance (new). The estimated return rate under each model was analyzed and it was found that different modes have different thresholds in delivery lead time (the time retailers need to deliver goods to customers), and within which the estimated return rate increases as the delivery lead time increases. And a size comparison of the estimated return rates for the three models was conducted. A profit model was constructed based on the estimated return rate model, the optimal order quantity was calculated, and the effects of different factors (tax, postage, and delivery lead time etc.) on it were analyzed. For the insurance model, the effect of bearing the insurance ratio between retailers and consumers on the optimal order quantity was examined. The goal of this paper was to construct a model of the estimated return rate for the two new modes and to compare the estimated return rate of the three modes, which provides a reference for retailers to choose among the diversified return logistics modes and then make the best ordering strategy according to the influence of different factors on the optimal order quantity.

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Section: Introductionmentioning

confidence: 99%

Research on B2C Cross-Border Electronic Commerce Return Logistics Model Selection Based on Estimated Return Rate

Li,

2024

JTAER

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“…Through the introduction of blockchain technology into the e-commerce supply chain ecosystem, a more transparent and effective information exchange channel is established [23]. With the continuous development of e-commerce platforms and the gradual emergence of cross-border e-commerce platforms, some scholars have explored the influencing factors within the ecosystem of cross-border e-commerce platforms [24]. Then, the competing relationships among subsystems within the cross-border e-commerce ecosystem are considered to clarify the development and evolutionary process of the system [25].…”

Section: Introductionmentioning

confidence: 99%

Research on the Symbiotic Model of Supply Chains Based on the Logistic Expansion Model for E-Commerce Platforms

Zhang,

Fan,

Yuan

2023

Sustainability

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With the development of globalization and technology, e-commerce platforms provide a more convenient shopping experience while also increasing the complexity and difficulty of the supply chain. Managers of e-commerce platform operations need to think about and investigate how to optimize the supply chains of e-commerce platforms, reduce costs and improve efficiency. In this paper, we use the logistic population expansion model to explore the symbiotic relationship among the core populations, key populations and supporting populations within the supply chain ecosystem of e-commerce platforms and the conditions that affect the evolution direction of the symbiotic model. The results show the following: (1) The size of the symbiosis between the three types of populations determines the equilibrium state of the symbiotic evolution of the e-commerce platform supply chain ecosystem. (2) The value of the sum of the symbiotic interaction coefficients between subjects in the supply chain ecosystem of an e-commerce platform determines the result of the symbiotic evolution of the system. (3) The reciprocal symbiosis model can maximize the synergy of the three types of subjects and is the best goal direction for ecosystem evolution. This study can provide a theoretical basis and practical support for the development of e-commerce platform-related enterprises.

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Modeling the Strategic Enablers of Financial Sustainability in Saudi Higher Education Institutions Using an Integrated Decision-Making Trial and Evaluation Laboratory–Interpretive Structural Modeling Approach

Makki,

Al-Filali

2024

Sustainability

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Ensuring financial sustainability is paramount for higher education institutions (HEIs) to maintain financial viability and accomplish their strategic objectives by efficiently managing and utilizing resources. Studying strategic enablers’ interconnections and influences on each other is essential to forming a profound understanding and guiding the execution of initiatives linked to achieving financial sustainability plans. The main objective of this research study is to construct a model and analyze the strategic enablers of financial sustainability in HEIs and their associated dimensions. An integrated modeling approach was followed based on the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methods. Input data collected from experts with specialist experience in financial sustainability in HEIs were used in the modeling. The overarching finding is that starting with the development of regulations and legislation-related systems leads to good governance practices, enabling the achievement of financial sustainability in HEIs. The developed model unpacks the complex relationships among the enablers and their dimensions. It reveals their cause-and-effect relationship classifications, ranks based on relative importance weights, dependence and driving powers classifications, relationship directions, and interpretive structure. It provides an overarching view of the interconnected network that acts as a roadmap to achieving financial sustainability in HEIs.

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Analysis of the key influencing factors of China’s cross-border e-commerce ecosystem based on the DEMATEL-ISM method

Cited by 3 publications

References 31 publications

Research on B2C Cross-Border Electronic Commerce Return Logistics Model Selection Based on Estimated Return Rate

Research on B2C Cross-Border Electronic Commerce Return Logistics Model Selection Based on Estimated Return Rate

Research on the Symbiotic Model of Supply Chains Based on the Logistic Expansion Model for E-Commerce Platforms

Modeling the Strategic Enablers of Financial Sustainability in Saudi Higher Education Institutions Using an Integrated Decision-Making Trial and Evaluation Laboratory–Interpretive Structural Modeling Approach

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