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Data · dataset · 2025

Blockchain and Automotive Manufacturing

Listed in Teesside University Research Data Repository

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.

Description

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.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 7 field assertions
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