Strategic synergies in supply chains: the role of customers’ ESG performance in shaping suppliers’ digital transformation

业务 产业组织 供应链 过程管理 转化(遗传学) 供应链管理 数字化转型 营销 计算机科学 生物化学 万维网 基因 化学
作者
Yamei Hu,Xiaoyang Zhao
出处
期刊:International Journal of Emerging Markets [Emerald Publishing Limited]
卷期号:21 (4): 1010-1032 被引量:3
标识
DOI:10.1108/ijoem-06-2024-1080
摘要

Purpose This study aims to evaluate the impact of customers’ ESG performance on suppliers’ digital transformation, with relationship duration and organizational slack as moderating factors. Considering the competitive and cooperative relationships between upstream and downstream enterprises, the study aims to investigate the mediating roles of anti-driving effects and knowledge spillover effects. Design/methodology/approach Using panel data from Chinese listed companies, this study employs fixed-effects models and mediation analysis to investigate the relationship between customers’ ESG performance and suppliers’ digital transformation. Heterogeneity is examined through subgroup analyses, while moderating effects are tested by incorporating interaction terms. Findings This study reveals that customers’ ESG performance significantly enhances suppliers’ digital transformation, which is further strengthened by relationship duration and organizational slack. Additionally, customers’ supply chain discourse power and knowledge spillovers mediate this relationship. Notably, the strength of this relationship proves contingent upon suppliers’ strategic aggressiveness and knowledge diversification levels. Practical implications The research provides several insights for corporate managers and governments, which are of great significance for promoting the coordinated development of digitalization and greenization in the supply chain. Originality/value The study makes significant contributions to uncovering the mechanism underlying the relationship between customers’ ESG performance and suppliers’ digital transformation.
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
喵喵完成签到,获得积分10
刚刚
MM完成签到 ,获得积分10
刚刚
刚刚
Hypnos发布了新的文献求助10
1秒前
脑洞疼应助浮生采纳,获得10
1秒前
molihuakai应助momo采纳,获得10
2秒前
棉花完成签到 ,获得积分10
3秒前
3秒前
桐桐应助lhy采纳,获得10
3秒前
chenjh完成签到,获得积分20
3秒前
Aki完成签到,获得积分20
4秒前
彭于晏应助zhoumuyun采纳,获得10
4秒前
煎蛋完成签到,获得积分10
5秒前
哈哈发布了新的文献求助10
5秒前
皮皮团完成签到 ,获得积分10
5秒前
tjfwg发布了新的文献求助10
6秒前
YI_JIA_YI完成签到,获得积分10
6秒前
年轻孤萍完成签到,获得积分10
7秒前
7秒前
大鲁完成签到,获得积分10
7秒前
蚊子发布了新的文献求助20
8秒前
8秒前
guoxihan发布了新的文献求助10
8秒前
8秒前
现代大米完成签到,获得积分10
8秒前
9秒前
huai发布了新的文献求助10
9秒前
fjy完成签到,获得积分10
11秒前
圣人海完成签到,获得积分10
11秒前
WXY发布了新的文献求助10
11秒前
好运常在发布了新的文献求助10
12秒前
科研通AI6.2应助chenjh采纳,获得10
13秒前
打打应助内向的凝芙采纳,获得20
13秒前
14秒前
卢小白发布了新的文献求助10
14秒前
伊酒发布了新的文献求助10
14秒前
Liz1054完成签到,获得积分10
15秒前
王一一完成签到 ,获得积分10
15秒前
刘卓岩完成签到,获得积分20
15秒前
stth关注了科研通微信公众号
15秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 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 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 6476938
求助须知:如何正确求助?哪些是违规求助? 8279147
关于积分的说明 17656018
捐赠科研通 5558965
什么是DOI,文献DOI怎么找? 2910712
邀请新用户注册赠送积分活动 1887687
关于科研通互助平台的介绍 1741013