Driving Industry 4.0 success: key antecedents in the automotive sector

汽车工业 钥匙(锁) 业务 过程管理 营销 运营管理 计算机科学 计算机安全 工程类 航空航天工程
作者
Jeetu Rana,Yash Daultani,Sushil Kumar
出处
期刊:Measuring Business Excellence [Emerald Publishing Limited]
被引量:2
标识
DOI:10.1108/mbe-05-2024-0073
摘要

Purpose Recent years have witnessed a spike in Industry 4.0 initiatives among manufacturing organizations, particularly in the automotive sector. This acceleration aims to enhance competitiveness by addressing various aspects, from efficiency and workforce productivity to safety and insightful decision-making. However, merely adopting technological solutions in isolation may not suffice. Automotive companies need a holistic approach that integrates the antecedents of Industry 4.0 into their overall strategy. This study aims to identify and analyse key antecedents for Industry 4.0 adoption in the Indian automotive sector. Design/methodology/approach The study follows a structured six-stage methodology, which includes a systematic literature review, expert consultations and best–worst method (BWM) analysis. The research identifies, validates and systematically ranks 16 antecedents that are pivotal for Industry 4.0 adoption. Findings The study categorizes 16 antecedents into four dimensions: regulatory framework (RF), technology infrastructure (TI), operational optimization (OO) and performance dynamics (PD). The findings emphasize the significance of “Government policies to support smart factories”, “Support from top management”, “Financial performance” and “Technology readiness” as crucial antecedents for Industry 4.0 implementation in the Indian automotive sector. Research limitations/implications These findings provide valuable guidance for industry practitioners and policymakers in strategically planning the Industry 4.0 deployment in the automotive sector. Originality/value This study contributes to the limited body of research on the identification and analysis of key antecedents for Industry 4.0 adoption in the automotive sector, particularly in emerging economies such as India. By using the BWM, it offers a structured and efficient approach to determining the priority order of these antecedents.

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
wyyyy完成签到 ,获得积分20
1秒前
ZHW完成签到,获得积分10
1秒前
不做第一只做唯一应助123d采纳,获得10
2秒前
lee完成签到,获得积分10
2秒前
qinyingxin完成签到,获得积分10
2秒前
2秒前
3秒前
bkagyin应助狂野砖头采纳,获得10
3秒前
饱满板栗完成签到,获得积分10
3秒前
ynchendt完成签到,获得积分10
4秒前
Octopus给Octopus的求助进行了留言
4秒前
4秒前
chowjb完成签到,获得积分10
4秒前
微笑无敌瑶完成签到,获得积分10
4秒前
华国锋完成签到,获得积分0
5秒前
5秒前
大模型应助hyf采纳,获得10
5秒前
5秒前
风的季节发布了新的文献求助10
5秒前
5秒前
woods完成签到,获得积分10
5秒前
angelinazh发布了新的文献求助10
5秒前
EarendilK完成签到,获得积分10
6秒前
CJY完成签到,获得积分10
6秒前
Miao完成签到 ,获得积分10
6秒前
忆塔基完成签到,获得积分10
6秒前
常芹完成签到,获得积分10
7秒前
7秒前
谦谦平文发布了新的文献求助10
7秒前
7秒前
wanglixiang完成签到 ,获得积分10
8秒前
甜美小蕾发布了新的文献求助10
8秒前
Rookie完成签到,获得积分20
8秒前
乔巴完成签到,获得积分10
8秒前
spoon1026完成签到,获得积分10
8秒前
ling完成签到,获得积分10
8秒前
8秒前
lalala应助loomsis采纳,获得10
9秒前
橘子橘子完成签到,获得积分10
9秒前
9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
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
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 6474607
求助须知:如何正确求助?哪些是违规求助? 8277366
关于积分的说明 17650343
捐赠科研通 5555341
什么是DOI,文献DOI怎么找? 2910042
邀请新用户注册赠送积分活动 1886788
关于科研通互助平台的介绍 1739458