Transforming humanitarian supply chains with digital twin technology: a study on resilience and agility

供应链 利益相关者 敏捷软件开发 过程管理 业务 独创性 知识管理 供应链管理 弹性(材料科学) 营销 计算机科学 经济 定性研究 社会学 管理 物理 软件工程 热力学 社会科学
作者
Rohit Kumar Singh
出处
期刊:The International Journal of Logistics Management [Emerald Publishing Limited]
卷期号:36 (4): 1119-1135 被引量:9
标识
DOI:10.1108/ijlm-08-2024-0504
摘要

Purpose The study examines the role of how Digital Twin Technology and stakeholder collaboration in enhancing supply chain resilience and agility, specifically within humanitarian aspects. The author used theoretical lenses of Resource-Based View to understand how combining advanced technological resources and relational resources could lead a firm towards better supply chain performance in conditions of volatility and complexity. Design/methodology/approach The study employs a quantitative research approach, utilizing structural equation modeling (SEM) to analyse data collected from key stakeholders involved in humanitarian supply chains. The model tests the relationships between Digital Twin Integration, stakeholder collaboration and the resulting supply chain outcomes, that is resilience and agility. Findings The findings indicate that Digital Twin Technology notably improves supply chain resilience and agility driven by real-time sensing, predictive analytics and process alignment. Additionally, stakeholder collaboration plays a mediator role in enabling organizations to gain full benefits of DTT. The research corroborates the importance of a combined use of technological and relational resources to enable an agile and resilient supply chain, especially in humanitarian settings. Originality/value The research makes a novel theoretical contribution by extending the Resource-Based View to appreciate advanced technologies like Digital Twin Technology and their integration in supply chains. The study presents a comprehensive model that integrates technology, collaboration, agility and offers new perspectives on the value of stakeholder engagement to ensure technological innovation delivers its optimum benefits.
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
刚刚
JamesPei应助西in采纳,获得10
刚刚
共享精神应助LXR采纳,获得10
刚刚
小米完成签到,获得积分10
刚刚
鲤鱼蓝天发布了新的文献求助10
1秒前
1秒前
2秒前
kytkk完成签到,获得积分10
2秒前
2秒前
neurojie完成签到,获得积分10
2秒前
初雪完成签到,获得积分0
2秒前
英俊的铭应助mxy126354采纳,获得10
3秒前
ykk完成签到 ,获得积分10
4秒前
4秒前
雨相所至应助qq采纳,获得10
4秒前
Jocelin应助qq采纳,获得10
4秒前
4秒前
科目三应助qq采纳,获得10
4秒前
ZT发布了新的文献求助10
5秒前
6秒前
LXR完成签到,获得积分10
6秒前
吃饱就睡发布了新的文献求助10
6秒前
泥娃娃完成签到,获得积分10
7秒前
7秒前
dw发布了新的文献求助10
7秒前
7秒前
7秒前
OvO_4577发布了新的文献求助20
8秒前
田様应助甜甜圈采纳,获得10
8秒前
JackyYan完成签到,获得积分10
9秒前
9秒前
呆萌致远完成签到,获得积分10
9秒前
自觉匪完成签到 ,获得积分10
10秒前
10秒前
10秒前
喀秋莎发布了新的文献求助10
11秒前
华仔应助搞怪仰采纳,获得10
11秒前
11秒前
可爱的函函应助LH采纳,获得10
13秒前
lele发布了新的文献求助10
14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
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6478999
求助须知:如何正确求助?哪些是违规求助? 8280408
关于积分的说明 17660803
捐赠科研通 5561564
什么是DOI,文献DOI怎么找? 2911306
邀请新用户注册赠送积分活动 1888291
关于科研通互助平台的介绍 1742266