Pricing and quality decisions in virtual product supply chains with information sharing

Qu, Jiali; Meng, Chao; Hu, Benyong

doi:10.1080/01605682.2022.2115412

Cited by 10 publications

(1 citation statement)

References 40 publications

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“…In 2022, Xiaoqing et al summarized and analyzed the research on contract design of supply chain in the environment of asymmetric demand information [14]. In 2022, Qu et al studied the information sharing problem of virtual products from the perspective of Nash game and Stackelberg game and determined the equilibrium conditions of product pricing and quality efort decision [15].…”

Section: Introductionmentioning

confidence: 99%

Research on Demand Forecasting Information Sharing Strategy of Closed-Loop Supply Chain considering Advertising Effect

Hou

Niu

2023

Discrete Dynamics in Nature and Society

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Based on the uncertain market demand, this paper studies the sharing strategy of each main body of the closed-loop supply chain for demand prediction information and introduces the variable of advertising effect into the model. Firstly, this paper constructs a manufacturer-led Stackelberg game model based on a two-level closed-loop supply chain. Secondly, the manufacturer advertising mode and the retailer advertising mode are set up, and the influence of information sharing is discussed in each advertising mode. Finally, the conclusion and the proposition are verified by example analysis. The results show that in terms of advertising, manufacturers prefer retailers to undertake, and retailers’ willingness is related to the mode of information sharing. In order to achieve a “win-win” situation by sharing information, certain conditions should be met. The advertising effect is helpful to increase product demand, retail price, advertising investment level, and profits of manufacturers and retailers and also promote recycling activities. However, the impact on wholesale price will vary with different advertising subjects.

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Section: Introductionmentioning

confidence: 99%

Research on Demand Forecasting Information Sharing Strategy of Closed-Loop Supply Chain considering Advertising Effect

Hou

Niu

2023

Discrete Dynamics in Nature and Society

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Joint Investment and Pricing Decisions in a Mobile Game Supply Chain Considering Risk Attitudes

Qu,

Zhang,

et al. 2024

Manage Decis Econ

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This paper studies the joint decision‐making problem of investment and pricing in a mobile game supply chain with a game developer and a distribution platform with different risk attitudes. The investment here involves the mobile game's quality investment during the development process and promotion investment during the operation process. First, the mean–variance utility theory is used to describe the risk attitudes of the supply chain participants. On this basis, considering the mobile game's individualized operational characteristics with respect to production and sales, the supply chain's and its participants' decision‐making models are established with the expected utility as an objective function. Second, the supply chain collaboration is modeled as a Stackelberg game. This paper obtains the optimal decisions of the participants and reveals the effects of the participants' risk attitudes on the optimal quality investment, promotion investment, and pricing policy. Finally, this paper further reveals the relationship between participants' risk attitudes and their expected profits. It is found that participants' risk attitudes will change the relationship between the expected profits under centralized decision‐making and those under decentralized decision‐making. These characteristics remain valid when a different demand format is employed or the supply chain members play a Nash game.

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Online Game Supply Chain Coopetition With Product Substitution

Hu,

Zhang,

Chen

et al. 2024

Naval Research Logistics

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This study examines the coopetition decision‐making in an online game supply chain involving two online game development enterprises (the developers) and one online game sales platform (the platform). In supply chain cooperation, competing developers can cooperate with the platform either separately or collectively. In contrast to previous studies, this study not only examines online games, with their unique cost structures, but also innovatively uses product quality as a decision variable in the characterization of product demand. It begins by constructing decision‐making models that reflect three different coopetition situations among enterprises in the online game supply chain: a competition model, a separate bargaining model, and a collective bargaining model. Equilibrium analysis of the decision‐making models is then used to obtain the enterprises' optimal coopetition strategies, and to reveal how these strategies depend on product substitutability and bargaining power. Finally, a comparative analysis of the coopetition models is used to identify the optimal coopetition strategy in the online game supply chain and reveal this strategy's dependence on product substitutability, bargaining power, and internal operating capabilities. These findings provide strategic guidance for enterprises in the online game supply chain about how to pursue coopetition within various business environments.

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Pricing and quality decisions in virtual product supply chains with information sharing

Cited by 10 publications

References 40 publications

Research on Demand Forecasting Information Sharing Strategy of Closed-Loop Supply Chain considering Advertising Effect

Research on Demand Forecasting Information Sharing Strategy of Closed-Loop Supply Chain considering Advertising Effect

Joint Investment and Pricing Decisions in a Mobile Game Supply Chain Considering Risk Attitudes

Online Game Supply Chain Coopetition With Product Substitution

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