An analysis of cross-channel return processing with return-freight insurance for live streaming platforms

Zhang, Tinglong; Guo, Xiongfei; Wu, Tao

doi:10.1016/j.cie.2022.108805

Cited by 16 publications

(3 citation statements)

References 25 publications

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“…Many scholars have studied return freight insurance. Zhang et al provide decision-making recommendations for offline manufacturers and consumers in live streaming in the aspect of return-freight insurance and cross-channel return [20]. Fan et al study the seller's return freight insurance policy and the consumers' return and find that consumers' return is related to the seller's return freight insurance policy, product validity, and opportunity costs [21].…”

Section: Return Freight Insurancementioning

confidence: 99%

Return Strategy of E-Commerce Platform Based on Green and Sustainable Development

Zhang

Ding

2023

Sustainability

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The secondary packaging and secondary transportation caused by products’ online return lead to a large amount of resource waste and environmental damage, which are not conducive to the green and sustainable development of enterprises. As consumers become more aware of environmental protection, their purchase and return behaviors will also change, prompting e-commerce platforms to adjust their return strategies. In this context, this paper aims to study the optimal return strategy that balances enterprises’ social benefits and environmental impact. The Stackelberg game models are constructed based on two behaviors: environmental protection publicity of e-commerce platforms and consumer return. The impacts of return strategies on the environment and the benefits of supply chain members are investigated. Results show that environmental protection publicity and return compensation can stimulate the expected sales volume. The optimal environmental protection publicity depends on the return rate. When the return rate is high, and the repurchase price is low, the optimal decision of the e-commerce platform is not to introduce return freight insurance so as to maintain its own benefits and reduce the environmental impact.

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Section: Return Freight Insurancementioning

confidence: 99%

Return Strategy of E-Commerce Platform Based on Green and Sustainable Development

Zhang

Ding

2023

Sustainability

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“…Authors develop a new kind of math models for the DCSC to obtain the optimal order quantities, by which the impact on the resalable return issue is illustrated. In [8], authors develop the dynamic decision process of the DCSC system for manufacturer and customers with freight insurance and cross-channel return in live streaming by using evolutionary game theory.…”

Section: ) the Cross-channel Return Strategymentioning

confidence: 99%

“…Among the existing related literatures, it is obviously noted that the vast majority of scholars' researches have focus on the cross-channel return behavior referring to online purchase and offline return [7]. However, due to the emergence of freight insurance and door-to-door pickup services, consumers can complete returns at nearby express delivery outlets or even without leaving their homes [8]. Therefore, online purchase and offline return behavior is gradually not being adopted by consumers.…”

Section: Introductionmentioning

confidence: 99%

Robust Control Strategy for Dual-Channel Supply Chain With Free Riding Behavior and Cross-Channel Return

Xia,

2023

IEEE Access

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In order to obtain customer satisfaction and promote the overall revenue of the supply chain system, offline purchase and online return strategy, called a new kind of cross channel return strategy (hereinafter referred to as "cross channel return"), has been gradually adopted by more and more enterprises in China. Moreover, free riding behavior is always inevitable in supply chain system. When a supply chain system includes free riding behavior and cross channel return strategy, the system is complex so that its stability can't be ensured easily. Hence, the management of the complex supply chain system mentioned above is a major challenge. In this article, the inventory and profit control strategy for a dual channel supply chain (DCSC) with cross channel return and free riding behavior is developed. Firstly, the mathematical model of the supply chain is set up based on the discrete state space equation. Secondly, utilizing the Lyapunov stability theory and the linear matrix inequality (LMI) method, a robust 𝐻 ∞ control strategy is designed to suppress the bullwhip effect caused by customer random demand. Thirdly, the impact of consumer channel preference, cross channel return and free riding behavior on inventory, production/ordering and profit in the supply chain system is studied by analyzing four different models, such as N-FC(without free riding behavior or cross channel return), Y-C(with cross channel return only), Y-F(with free riding behavior only), Y-FC(with both free riding behavior and cross channel return). Finally, the simulation tests are carried out to verify the performance of the robust control strategy, and some management insights and conclusions are summarized.INDEX TERMS dual-channel supply chain, robust 𝐻 ∞ control, free riding behavior, offline purchase and online return strategy, bullwhip effect.

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Channel selection strategy with consumer impulse purchase in livestream selling

Chen,

Xu,

2024

Manage Decis Econ

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Consumer impulsive purchasing is very common, especially in the livestream selling where they are influenced by policies such as low prices, limited time, and limited quantity. This behavior can increase a firm's sales, but it also leads to higher return rates. Considering consumer impulse purchase, this paper conducts an analytical model to investigate the conditions for a firm to introduce a livestream channel and whether the firm should adopt a low or moderate livestream price strategy when introducing a livestream channel. Our results show that, when return processing cost is small enough, the firm benefits from the livestream strategies as long as the streamer's fan effect is larger than a threshold. Specifically, a firm prefers to adopt the low livestream price strategy when cooperating with a large fan effect streamer and a moderate livestream price strategy with a small fan effect streamer. However, when return processing cost is large, the low livestream price strategy cannot be the dominant strategy. Furthermore, we make several extensions (i.e., different impulse utility on different livestream price, impact of positive impulse utility of low impulsive consumers, different online return rates of different types of consumers, the costs of introducing the livestream channel, and consumer return processing cost) to verify the robustness of the model, and the main conclusions remain unchanged. These results provide guidance for firms on the introduction of livestream channel and pricing decisions of different channels.

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An analysis of cross-channel return processing with return-freight insurance for live streaming platforms

Cited by 16 publications

References 25 publications

Return Strategy of E-Commerce Platform Based on Green and Sustainable Development

Return Strategy of E-Commerce Platform Based on Green and Sustainable Development

Robust Control Strategy for Dual-Channel Supply Chain With Free Riding Behavior and Cross-Channel Return

Channel selection strategy with consumer impulse purchase in livestream selling

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