More Than Meets the Eye: Misconduct and Decoupling Against Blockchain for Supply Chain Transparency

块链 透明度(行为) 供应链 解耦(概率) 业务 不当行为 计算机安全 计算机科学 营销 法学 工程类 政治学 控制工程
作者
Leonardo Marques,Dafne Oliveira Carlos de Morais,Ana Terra
出处
期刊:Production and Operations Management [Wiley]
卷期号:34 (5): 1057-1075 被引量:35
标识
DOI:10.1177/10591478231224928
摘要

The fashion industry has consistently ranked high in terms of its association with modern slavery. While scandals like the Rana Plaza incident have focused the world's attention on Asia, in Brazil, over 35,000 people have been rescued from conditions analogous to slavery in the past 15 years. Outsourcing and the underlying social structures that blur the implementation of outsourcing are central to this problem. Fashion supply chains are highly fragmented and labour intensive, exhibiting power asymmetry and informality. Although supply chain research has focused on how focal firms can control or improve supplier practices, this study examines focal firm misconduct and decoupling. Our research presents an intervention aimed at developing a blockchain solution to create a census of fashion working conditions in Brazil. The project included two non-governmental organisations, two fashion brands and their suppliers, the fashion retail association, a blockchain start-up and the research team (18 organisations). We contribute to both theory and practice, revealing that the blockchain's potential to ease transaction costs is outweighed by governance costs related to third-party supervision. We show that focal firms justify unfair purchasing practices via victimisation and diverting attention from themselves to consumers (‘unwilling to pay’) and suppliers (‘not behaving as expected’), unveiling how these drivers of organisational misconduct lead to supplier decoupling (means–end) and focal firm decoupling (policy–practice). Such underlying social structures sustain inaction or, at best, advance focal firms’ visibility of their supply chains while offering no true transparency to the broader society.
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
2秒前
Yingkun_Xu完成签到,获得积分10
2秒前
科研通AI6.4的应助被阳光采纳,获得30
2秒前
tee发布了新的文献求助10
2秒前
5秒前
慢慢完成签到,获得积分20
6秒前
6秒前
烟花的应助被11采纳,获得10
7秒前
Zenith完成签到,获得积分10
10秒前
meetland完成签到,获得积分10
10秒前
lijing7完成签到,获得积分10
11秒前
x-17完成签到,获得积分10
13秒前
14秒前
14秒前
淡定的豌豆完成签到 ,获得积分10
15秒前
ding的应助被darkage采纳,获得10
17秒前
Li关注了科研通微信公众号
17秒前
顺利汉堡完成签到,获得积分10
17秒前
18秒前
可知完成签到,获得积分10
19秒前
23秒前
moonriver完成签到 ,获得积分10
23秒前
文章刻骨几人知完成签到,获得积分10
23秒前
英姑的应助被一首简单的歌采纳,获得10
24秒前
搜集达人的应助被nevus采纳,获得10
25秒前
ZYB143发布了新的文献求助10
26秒前
26秒前
26秒前
王浩水发布了新的文献求助10
27秒前
一笑看尽长安花完成签到 ,获得积分10
27秒前
27秒前
小恩发布了新的文献求助10
28秒前
魔幻沛菡完成签到 ,获得积分10
29秒前
29秒前
复苏发布了新的文献求助40
30秒前
30秒前
学术骗子小刚完成签到,获得积分0
30秒前
Enigma_GEB的应助被Mars_X采纳,获得10
34秒前
草壁米完成签到,获得积分10
35秒前
彬彬发布了新的文献求助10
35秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783865
求助须知:如何正确求助?哪些是违规求助? 9323126
关于积分的说明 20393047
捐赠科研通 7372438
什么是DOI,文献DOI怎么找? 3320801
关于科研通互助平台的介绍 2468779
邀请新用户注册赠送积分活动 2337005