Can digital transformation improve firm resilience to supply chain disruption? The role of diversification strategies

业务 多元化(营销策略) 弹性(材料科学) 数字化转型 供应链 产业组织 供应链风险管理 转化(遗传学) 过程管理 供应链管理 营销 服务管理 计算机科学 生物化学 化学 物理 万维网 基因 热力学
作者
Ying Xu,NULL AUTHOR_ID,Liukai Wang,NULL AUTHOR_ID
出处
期刊:Journal of Purchasing and Supply Management [Elsevier]
卷期号:30 (5): 100952-100952
标识
DOI:10.1016/j.pursup.2024.100952
摘要

Our study investigates the role of digital transformation (DT) in promoting firm resilience to supply chain disruptions. Based on resource dependence theory (RDT) and anchored in the organizational structure design literature, we propose a moderating effect for diversification strategies, including sourcing diversification, business diversification, and geographic diversification. To verify this, we collect data based on a sample of 2,486 Chinese listed companies that experienced supply chain disruptions caused by COVID-19 in 2020, of which 1,716 companies implemented DT and 770 companies did not. The changes in firm resilience based on five operating performance metrics for the sample group (those firms implementing DT) are compared against a control group (those without implementing DT) of similar size and industry. The results show that, in terms of percentage of change in operating performance, firms implementing in DT are more resilient than those that do not. Moreover, the sourcing and geographic diversification strategies play a positive moderating role in the relationship between DT and firm resilience. Additionally, our findings partially support the view that business diversification plays a positive moderating role in our proposed relationship for a certain subsample. These results contribute to the DT-resilience literature by unlocking the value and potential of interplay between DT and different diversification strategies in building firm resilience, and underscore the importance of reducing dependence on external resources in the face of supply chain disruptions.
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
雪白元风完成签到 ,获得积分10
刚刚
细心的岩完成签到,获得积分10
2秒前
我是老大应助风中听枫采纳,获得10
4秒前
斯文败类应助Aixzhou采纳,获得10
4秒前
大个应助feiying88采纳,获得10
7秒前
7秒前
7秒前
kingwill应助Chen采纳,获得20
7秒前
7秒前
Yang完成签到,获得积分10
9秒前
兴奋小林完成签到,获得积分10
9秒前
10秒前
李健应助CY采纳,获得10
11秒前
11秒前
飘逸平松发布了新的文献求助30
11秒前
自由溪灵发布了新的文献求助10
11秒前
碧蓝丹烟发布了新的文献求助10
13秒前
13秒前
14秒前
负责的寒梅完成签到,获得积分10
15秒前
天天快乐应助江流儿采纳,获得10
16秒前
善良半梦完成签到,获得积分10
16秒前
阜睿发布了新的文献求助10
16秒前
斯文败类应助机智小白锋采纳,获得10
16秒前
gangfenglh给gangfenglh的求助进行了留言
17秒前
风中听枫发布了新的文献求助10
17秒前
18秒前
海森堡发布了新的文献求助10
19秒前
还单身的绮梅完成签到,获得积分10
20秒前
王灿灿发布了新的文献求助10
21秒前
Akim应助哒哒李采纳,获得10
21秒前
eeeee发布了新的文献求助10
21秒前
22秒前
dt发布了新的文献求助10
22秒前
ssm发布了新的文献求助20
23秒前
23秒前
23秒前
幸福沉鱼发布了新的文献求助10
24秒前
25秒前
京客家完成签到,获得积分10
26秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
工业结晶技术 880
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3489857
求助须知:如何正确求助?哪些是违规求助? 3076978
关于积分的说明 9147123
捐赠科研通 2769152
什么是DOI,文献DOI怎么找? 1519630
邀请新用户注册赠送积分活动 704069
科研通“疑难数据库(出版商)”最低求助积分说明 702084