Big data service investment strategy for low-carbon supply chains with reference effect
参照効果を考慮した低炭素サプライチェーンにおけるビッグデータサービス投資戦略 (AI 翻訳)
Qinpeng Wang, Guotao Wu, longfei he
🤖 gxceed AI 要約
日本語
ビッグデータサービス（BDS）投資が低炭素サプライチェーン（LCSC）の排出削減と需要拡大に与える影響を、参照効果を考慮した微分ゲームで分析。メーカー単独投資と共同投資のシナリオを比較し、共同投資が有効であること、過度なBDS利用は長期的に不利であることを示した。
English
This study uses differential games to analyze big data service (BDS) investment strategies in a dual-channel low-carbon supply chain, considering consumer reference effects on emission reduction levels. It finds that joint BDS investment between manufacturers and retailers is beneficial for expanding market demand and promoting emission reduction, but overuse of BDS may be detrimental in the long run.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では、サプライチェーン排出量の開示義務化（SSBJ）が進み、企業間連携による排出削減が重要。本論文の共同投資の知見は、日本企業のScope 3削減戦略やサプライヤーとの協働に示唆を与える。
In the global GX context
Globally, this paper contributes to the literature on low-carbon supply chain management and big data analytics, offering insights for firms facing pressure to reduce Scope 3 emissions under frameworks like CSRD and ISSB. The emphasis on collaborative investment and information sharing is relevant for multinational supply chains.
👥 読者別の含意
🔬研究者:Supply chain management researchers can gain insights into game-theoretic modeling of BDS investment and reference effects in low-carbon contexts.
🏢実務担当者:Corporate sustainability teams can learn about the benefits of joint BDS investment and information sharing with partners to enhance low-carbon product marketability.
🏛政策担当者:Policymakers may note the potential of big data services to facilitate supply chain decarbonization, suggesting support for data infrastructure and collaboration.
📄 Abstract（原文）
By leveraging big data service (BDS), enterprises can gain increasing accurate understanding of the evolving consumer demand for low-carbon products (LCP). This enables them to produce marketable LCP, which is conducive to the achievement of the “net zero” goal. Besides, consumer preference for LCP is influenced by both the product’s emission reduction level (ERL) and the reference emission reduction effect. In this paper, we employ differential games to construct a dual-channel supply chain (DCSC), and explore three scenarios: no investment in BDS, the manufacturer invests in BDS, and jointly investment in BDS. This exploration aims to investigate the reference emission reduction effect and the impact of BDS investment on supply chain emission reduction. Through a comparative analysis of equilibrium results across different scenarios and numerical analysis of key parameters, we find that enterprises should optimize market demand under specific decision-making contexts by managing production costs and selling prices. Low-carbon supply chain (LCSC) enterprises should consider collaborating on BDS investment, sharing consumer low-carbon preference information, and leveraging the value of big data technology to promote emissions reduction production and stimulate low-carbon consumption. This collaboration ultimately aims to expand the market. Additionally, manufacturers and retailers should balance total profits with their individual profits and make concessions in cooperation details. Lastly, it is important that manufacturers should avoid overusing BDS to guide emission reduction production since this may not be beneficial in the long run.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1051/ro/2024200first seen 2026-08-02 17:38:17
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