The impact of consumer skepticism on blockchain-enabled sustainability disclosure in a supply chain

怀疑论 供应链 持续性 业务 可靠性 块链 绿色洗涤 产品(数学) 经济 营销 计算机安全 计算机科学 数学 生物 生态学 认识论 哲学 政治学 法学 几何学
作者
Yu Zhou,Shuangqi Yan,Gendao Li,Yu Xiong,Zhibin Lin
出处
期刊:Transportation Research Part E-logistics and Transportation Review [Elsevier]
卷期号:179: 103323-103323 被引量:8
标识
DOI:10.1016/j.tre.2023.103323
摘要

The growing recognition of sustainable supply chain practices is indisputable. Nevertheless, consumer skepticism regarding the credibility of product sustainability information, which includes environmental impact and social responsibility, poses a significant challenge. Blockchain-enabled disclosure has surfaced as a promising approach to address this skepticism. In this paper, a game-theoretical model is developed to investigate the investment strategy in blockchain-enabled disclosure within a supply chain composed of one retailer and two manufacturers, each selling products with varying levels of sustainability. Considering consumer skepticism, we assume that consumers who trust sustainability information are willing to pay a premium for sustainable products, while skeptical consumers are not. Our analysis suggests that blockchain-enabled disclosure can effectively increase consumer trust in sustainability information and promote sustainable practices. However, our findings reveal a potential pitfall: intensified market competition between manufacturers, leading to reduced profits for both, while the retailer persistently benefits from blockchain-enabled disclosure. Furthermore, we find non-monotonic effects of consumer skepticism on retailer and manufacturer profits, with certain conditions resulting in a decreased likelihood of investing in blockchain-enabled disclosure as skepticism increases. Lastly, we examine the government-mandated disclosure policy, illustrating that such policy can generate a win–win situation for society and the environment by improving social welfare and environmental performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
caixiaobinger完成签到 ,获得积分10
刚刚
金刚经应助零点起步采纳,获得10
1秒前
维斯佩尔发布了新的文献求助10
1秒前
完美世界应助佩楠采纳,获得10
1秒前
疏桐发布了新的文献求助30
2秒前
4秒前
刘松完成签到,获得积分20
4秒前
4秒前
紧张的刺猬完成签到,获得积分10
6秒前
6秒前
6秒前
将将完成签到,获得积分10
6秒前
贤惠的正豪完成签到,获得积分20
6秒前
Leeshore发布了新的文献求助60
6秒前
竹子完成签到,获得积分10
7秒前
ziyou完成签到,获得积分10
8秒前
闾丘志泽发布了新的文献求助10
9秒前
李爱国应助张杰采纳,获得10
10秒前
小吉完成签到,获得积分10
10秒前
11秒前
一心向雨完成签到,获得积分10
11秒前
11秒前
jingxian发布了新的文献求助10
12秒前
维斯佩尔完成签到,获得积分10
12秒前
13秒前
rainbow5432完成签到 ,获得积分10
14秒前
星空_完成签到 ,获得积分10
14秒前
14秒前
14秒前
八森木完成签到,获得积分10
16秒前
16秒前
柚子烤饼干完成签到,获得积分20
16秒前
脑洞疼应助斯文的雪曼采纳,获得10
17秒前
1223完成签到 ,获得积分10
17秒前
ding应助柔弱的天蓝采纳,获得10
18秒前
小葡完成签到,获得积分10
18秒前
眭超阳完成签到 ,获得积分10
18秒前
跳跃的硬币完成签到,获得积分10
19秒前
19秒前
RoyChen完成签到,获得积分0
19秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Femoral insertion of the ACL. Radiographic quadrant method 1000
ALA生合成不全マウスでの糖代謝異常の分子機構解析 520
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
2024 Medicinal Chemistry Reviews 400
Dictionary of socialism 350
Geochemistry, 2nd Edition 地球化学经典教科书第二版 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3194181
求助须知:如何正确求助?哪些是违规求助? 2843113
关于积分的说明 8043209
捐赠科研通 2507626
什么是DOI,文献DOI怎么找? 1339972
科研通“疑难数据库(出版商)”最低求助积分说明 638854
邀请新用户注册赠送积分活动 607685