Evidence map›Paper›PMID 40775499›Full record

ArticleScientific reports2025

Green supply chain strategy considering participant fairness concern and uncertainty of research and development.

Haohao Song, Rong Wang, Xiangyu Mao, Jing Tao, Mengqi Zhang, Xiaobo Wang, Xiaojuan Sang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haohao SongBusiness College, Nanjing Xiaozhuang University, Nanjing, China.
Rong WangBusiness College, Nanjing Xiaozhuang University, Nanjing, China. rongwang@njxzc.edu.cn.
Xiangyu MaoBusiness College, Jiangsu Second Normal University, Nanjing, China.
Jing TaoBusiness College, Jinling Institute of Technology, Nanjing, China.
Mengqi ZhangBusiness College, Jinling Institute of Technology, Nanjing, China.
Xiaobo WangBusiness College, Nanjing Xiaozhuang University, Nanjing, China.
Xiaojuan SangBusiness College, Nanjing Xiaozhuang University, Nanjing, China.

Funding

Philosophy and Social Science Fund of Education Department of Jiangsu Province 2022SJYB060Social Science Fund Project of Jiangsu Province 21GLD010
6 · The paper itself

Abstract

Considering the uncertainty of green technology research and development (R&D) investment and channel members' fairness concern behavior, this article respectively analyzes participants' optimal decision-making under the manufacturer-dominated and the retailer-dominated structures. Given the probability of high efficiency and low efficiency of green R&D, this article uses the expected values under different probabilities to represent the equilibrium results. Through numerical simulations, we further comparatively discuss the equilibria under different scenarios. The results indicate that regardless of whether the manufacturer's green R&D is efficient or inefficient, it always will lead to an increase in products' pricing, greenness, demand, retailer's profit, and supply chain's social welfare. However, the change in the manufacturer's profit is uncertain, which is also related to its fixed R&D costs and R&D efficiency. Under the manufacturer-dominated structure, fairness concern behavior can lead to a decrease in products' pricing, greenness, demand, and profits for both the manufacturer and retailer; But under the retailer-dominated structure, the manufacturer's fairness concern has no impact on products' retail price, greenness, and demand. It only leads to the retailer raising markup price and reducing marginal profit, while the manufacturer's wholesale price and profit will increase. In addition, whether under the manufacturer-dominated and the retailer-dominated structures, the supply chain's social welfare is greater than that without green R&D and increases with the increase of the probability of efficient R&D. Nevertheless, the impact of the manufacturer's fairness concern on social welfare is not the same. It leads to a decrease in social welfare under the manufacturer-dominated structure, while leads to an increase under the retailer-dominated structure.

Identifiers

PMID40775499
PMCPMC12331981

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