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 绿色洗涤 产品(数学) 经济 营销 生态学 哲学 几何学 数学 认识论 政治学 法学 生物
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 BV]
卷期号:179: 103323-103323 被引量:41
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
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
Allbut发布了新的文献求助20
刚刚
夏侯含桃发布了新的文献求助10
1秒前
G.Huang完成签到,获得积分10
1秒前
小花发布了新的文献求助10
1秒前
1秒前
贝妮戴塔发布了新的文献求助10
1秒前
隐形曼青应助APS采纳,获得50
1秒前
zl完成签到,获得积分10
1秒前
3秒前
4秒前
NexusExplorer应助uuuuuuu采纳,获得10
4秒前
5秒前
科研通AI6.2应助啊哈哈采纳,获得10
5秒前
董科见应助董瘦子采纳,获得10
5秒前
科研通AI6.1应助Zpj采纳,获得10
5秒前
6秒前
rootree发布了新的文献求助10
7秒前
豪123456发布了新的文献求助10
8秒前
潘名超发布了新的文献求助10
8秒前
科研通AI6.1应助尧尧采纳,获得10
8秒前
张天完成签到,获得积分10
10秒前
zaniuzl发布了新的文献求助10
11秒前
田様应助江海客采纳,获得10
12秒前
ZSW发布了新的文献求助10
13秒前
14秒前
15秒前
bkagyin应助积极璎采纳,获得10
15秒前
xp发布了新的文献求助10
16秒前
CodeCraft应助只只采纳,获得10
17秒前
17秒前
陈平安完成签到,获得积分10
18秒前
19秒前
潘名超完成签到,获得积分10
19秒前
英姑应助赞zan采纳,获得10
19秒前
19秒前
今天做实验了吗完成签到,获得积分10
20秒前
万能图书馆应助潘名超采纳,获得10
21秒前
彭于晏应助LouisKing采纳,获得10
21秒前
lanmo完成签到,获得积分10
22秒前
jaykin发布了新的文献求助10
22秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6699191
求助须知:如何正确求助?哪些是违规求助? 8441355
关于积分的说明 18033382
捐赠科研通 5933109
什么是DOI,文献DOI怎么找? 2988245
邀请新用户注册赠送积分活动 1964045
关于科研通互助平台的介绍 1906504