Strategic Information Sharing of Online Platforms as Resellers or Marketplaces

Zha, Yong; Li, Quan; Huang, Tingliang; Yu, Yugang

doi:10.1287/mksc.2022.1397

Cited by 60 publications

(12 citation statements)

References 45 publications

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“…In addition, several scholars have studied distribution mode choice in the context of information asymmetry. For example, Tsunoda and Zennyo (2021) and Zha et al (2023) survey how the information sharing strategies of platforms change the choice of distribution modes. Zheng et al (2021) assume that suppliers market their products through the reselling channel and investigate whether they open an additional agency channel to sell their products directly.…”

Section: Literature Reviewmentioning

confidence: 99%

The interplay of information sharing and distribution mode choice under cap‐and‐trade policy in the ecommerce era

Li,

Guo,

Jiang

2024

Manage Decis Econ

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This paper endeavors to examine the interplay between information sharing and distribution mode in the context of low carbon, while considering the cap‐and‐trade. The findings indicate that under the non‐information sharing, the manufacturer tends to opt for the reselling mode when the carbon price is high; under the information sharing, the manufacturer is inclined towards the reselling mode when both the carbon price and investment cost coefficient are high. Interestingly, we find that the information sharing decision of the platform triggers an induced effect on the distribution mode selection of the manufacturer, and this effect is bi‐directional and conditional.

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Section: Literature Reviewmentioning

confidence: 99%

The interplay of information sharing and distribution mode choice under cap‐and‐trade policy in the ecommerce era

Li,

Guo,

Jiang

2024

Manage Decis Econ

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“…The second relevant research stream explores selling mode strategies in online retailing, particularly reselling and agency selling modes (Kwark et al., 2017; Wirl, 2018; Hu et al., 2022). Previous studies compare these strategies considering several factors, such as platform competition (Abhishek et al., 2016; Chen et al., 2020), product substitutability (Jerath and Zhang, 2010; Tian et al., 2018), information (Jiang et al., 2011; Zha et al., 2023), service (Ha et al., 2021; Qin et al., 2021), and cross‐channel effects (Tan et al., 2016; Fan et al., 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Retailers have a strong incentive to share this valuable information with upstream manufacturers, with over 60% of U.S. retailers actively participating in sharing consumer preference‐related data with their suppliers, aiming to align product designs with consumer preferences (Guo, 2009; Xiao et al., 2020). Furthermore, it has been observed in business practice that e‐commerce platforms reported sharing consumer data with their suppliers, emphasizing that information sharing enhances collaboration between platforms and manufacturers (Zha etal., 2023). E‐commerce platforms can acquire and share consumer‐level information with manufacturers selling products on their platforms, thus assisting them in their operations and marketing decisions.…”

Section: Introductionmentioning

confidence: 99%

Information and selling mode strategies in a supply chain with an outsourced private label product

Wang,

Chen,

Yang

et al. 2024

Int Trans Operational Res

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This paper examines the interplay between the information strategy of an e‐commerce platform and the selling mode strategy of a manufacturer within a co‐opetitive supply chain, as well as the identification of the optimal supply chain strategy. We develop a supply chain model where a platform outsources production of its private label product to a manufacturer, who also sells its national brand product through the platform. The platform must decide whether to acquire consumer quality preference information at a cost and share it with the manufacturer, while the manufacturer needs to choose between the reselling mode or the agency selling mode for its national brand product. The two driving effects (competition‐intensification effect and mode differentiation effect) are identified. Our findings show that the platform will acquire and share information when the acquisition cost is sufficiently low, leading to the “competition‐intensification effect.” Additionally, the manufacturer prefers the agency selling mode when cost‐quality efficiency is low, and the reselling mode otherwise, driven by the “mode differentiation effect.” In cases where information sharing is absent, the manufacturer is more likely to choose the agency selling mode. Interestingly, when the cost‐quality efficiency of the manufacturer's product is moderate and the information acquisition cost is low, the “competition‐intensification effect” and the “mode differentiation effect” offset each other, resulting in the expansion of the region where the manufacturer chooses the reselling mode due to the platform's information‐sharing strategy. As a result, this enhances a cooperative relationship between the manufacturer and the platform. We also derive the optimal supply chain strategy, providing insights into both the manufacturer's selling mode and the platform's information strategies in online retailing.

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“…A growing body of literature shows that information sharing has a positive impact on improving the welfare of farmers in developing countries (Liao et al, 2017; Liao & Chen, 2017; Tang et al, 2015). In addition, a number of studies have shown that providing information can effectively promote welfare improvements and the adoption of technology or services (Mastenbroek et al, 2021; Shin & Zeevi, 2023; Zha et al, 2023). Although information sharing may bring benefits, a part of the literature shows that information provision (information sharing) is an important obstacle to adopting technology or improving the welfare of farmers.…”

Section: Literature Reviewmentioning

confidence: 99%

Farmers' green technology adoption: Implications from government subsidies and information sharing

Hong,

Chen,

Gong

et al. 2023

Naval Research Logistics

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While the previous literature on green technology adoption has not fully considered information sharing, we consider the impact of demand information sharing on the adoption of green technologies by risk‐averse farmers in a vertical agricultural supply chain. We find that government subsidies and information sharing do not always promote farmers' adoption of green technologies. The accuracy of the information plays a vital role in promoting farmers' adoption of green technologies; however, the increased green technology adoption induced by more accurate information may be detrimental to farmer welfare in the presence of production diseconomies. Information sharing can reduce the amount of government subsidies for promoting green technology adoption, thereby suggesting the substitutable role of information and monetary instruments. Nonetheless, information‐sharing may lead to lower water savings and thus should be adopted with caution. Risk aversion has a nontrivial impact on agricultural technology adoption: farmers are more likely to adopt traditional agricultural technologies when their risk aversion is either very low or very high. Finally, we validate our decision model with U.S. Department of Agriculture cotton production data and propose management insights to help farmers make appropriate adoption decisions under information asymmetry and risk‐averse attitudes.

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Strategic Information Sharing of Online Platforms as Resellers or Marketplaces

Abstract: We study an online platform’s demand information sharing strategy in a distribution channel where a manufacturer distributes products through both platform and seller channels.

Cited by 60 publications

References 45 publications

The interplay of information sharing and distribution mode choice under cap‐and‐trade policy in the ecommerce era

The interplay of information sharing and distribution mode choice under cap‐and‐trade policy in the ecommerce era

Information and selling mode strategies in a supply chain with an outsourced private label product

Farmers' green technology adoption: Implications from government subsidies and information sharing

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