Blockchain and Automotive Manufacturing

Published: 22 January 2025| Version 1 | DOI: 10.17632/7prdhgynth.1
Contributor:
Hajar Fatorachian

Description

The dataset explores the impact of artificial intelligence (AI) on supply chain management (SCM) in the automotive sector, combining responses from 140 quantitative surveys and insights from two in-depth qualitative interviews. It captures demographic details, organisational readiness, AI adoption trends, and its influence on key performance indicators like delivery times, inventory turnover, and cost efficiency. Survey questions address AI applications, benefits, challenges, and ethical concerns such as privacy violations, workforce displacement, and data bias. Interviews provide nuanced perspectives on leadership roles, implementation hurdles, and future strategies like digital twins and autonomous logistics. The dataset offers a comprehensive analysis of AI's transformative role in SCM, highlighting its operational benefits, strategic challenges, and ethical implications, making it a valuable resource for researchers and industry practitioners.

Files

Steps to reproduce

NA

Institutions

Leeds Beckett University

Categories

Automotive Industry, Blockchain

Licence