Strategic introduction for competitive fresh produce in an e-commerce platform with demand information sharing

Tian, Yu; Bin, Dan; Liu, Molin; Lei, Ting; Ma, Songxuan

doi:10.1007/s10660-022-09598-w

Cited by 6 publications

(4 citation statements)

References 42 publications

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“…Such studies involve financing and pricing strategies (Tan et al, 2023;Tang & Yang, 2020), information-sharing strategies (Liu et al, 2023;Liu, Dan, et al, 2021;Tian et al, 2022Tian et al, , 2023, omnichannel strategies (Cao & Gao, 2023;Lin et al, 2021;Song et al, 2021;Zhang, He, et al, 2021), and cooperative mode selection Xu et al, 2021). For example, investigate sales mode issues for a fresh produce e-platform with two retailers.…”

Section: Fresh Produce E-commercementioning

confidence: 99%

“…With the boom in fresh produce e‐commerce, scholars have studied fresh produce supply chains in the e‐commerce era (Han et al, 2021; Wang et al, 2020; Xu et al, 2023a, 2023b; Zhang & Berghall, 2021). Such studies involve financing and pricing strategies (Tan et al, 2023; Tang & Yang, 2020), information‐sharing strategies (Liu et al, 2023; Liu, Dan, et al, 2021; Tian et al, 2022, 2023), omnichannel strategies (Cao & Gao, 2023; Lin et al, 2021; Song et al, 2021; Zhang, He, et al, 2021), and cooperative mode selection (Liu, Ma, et al, 2021; Xu et al, 2021). For example, Liu, Ma, et al (2021) investigate sales mode issues for a fresh produce e‐platform with two retailers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They find the e‐platform chooses the mode of reselling or agency selling depending on the level of channel competition. Tian et al (2022) explore the sales cooperation mode of a fresh produce supplier with an e‐platform to obtain demand information. Considering e‐commerce platforms' private brands, Xu et al (2023a) and Cao and Gao (2023) explore fresh produce e‐tailers' logistics modes and sourcing strategies under different power structures.…”

Section: Literature Reviewmentioning

confidence: 99%

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Advance selling of fresh produce e‐tailer with uncertain demand and risk‐averse consumers

Fan,

Zhang,

Dan

et al. 2024

Manage Decis Econ

Self Cite

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Aiming to investigate whether a fresh produce e‐tailer should implement the strategy of advance selling considering the behavior of consumers' risk aversion, we build a two‐stage newsvendor decision‐making model and further explore how the advance selling value is affected by factors, such as the freshness‐keeping cost and the effect of demand information updating on reducing demand uncertainty. The results indicate that adopting advance selling strategy benefits the e‐tailer or not depends on consumer risk aversion and the effect of demand information updating on reducing demand uncertainty. The increasing effect of demand information updating on reducing demand uncertainty is conducive to improving the value of advance selling, and the freshness‐keeping cost may increase or decrease the value of advance selling. Besides, adopting the strategy of advance selling may benefit both the e‐tailer and the consumers under certain conditions.

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Section: Fresh Produce E-commercementioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Advance selling of fresh produce e‐tailer with uncertain demand and risk‐averse consumers

Fan,

Zhang,

Dan

et al. 2024

Manage Decis Econ

Self Cite

View full text Add to dashboard Cite

show abstract

“…(5) Return process risk factors Returns are the last process of the SCOR model and mainly involve the recovery of raw materials as well as products with quality problems. Based on the study by Tian Yu [16] et al the following hypotheses are proposed: SCR16: Risk of customer dissatisfaction due to improper return of goods. SCR17: Risk of poorer corporate image due to higher number of returns.…”

Section: ) Procurement Process Risk Factorsmentioning

confidence: 99%

Research on Risk Identification of New Retail Supply Chain in the Context of Internet

Li,

Kong

2023

Atlantis Highlights in Intelligent Systems

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With the development of the Internet, the overall growth rate of China's traditional retail industry has shown a downward trend, most of the physical stores are experiencing operational difficulties. After the new retail model was proposed, some traditional retail industries gradually tried digital retail transformation. Influenced by the Internet, digital has empowered the traditional retail industry, and the new retail supply chain has received more and more attention as an important chain connecting customers and retailers. Therefore, this paper focuses on the fresh new retail supply chain, which requires high supply chain risk control, and identifies the risks in the supply chain of fresh products in the context of the Internet through factor analysis and machine learning to provide a basis for fresh supply chain risk management decisions.

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Strategic introduction of the showroom channel in a platform supply chain: how to balance cost inefficiency against information asymmetry

Li,

Zhang

2024

Electron Commer Res

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Strategic introduction for competitive fresh produce in an e-commerce platform with demand information sharing

Cited by 6 publications

References 42 publications

Advance selling of fresh produce e‐tailer with uncertain demand and risk‐averse consumers

Advance selling of fresh produce e‐tailer with uncertain demand and risk‐averse consumers

Research on Risk Identification of New Retail Supply Chain in the Context of Internet

Strategic introduction of the showroom channel in a platform supply chain: how to balance cost inefficiency against information asymmetry

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