Blockchain and Automotive Manufacturing

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.

本数据集旨在探究人工智能（Artificial Intelligence）对汽车行业供应链管理（Supply Chain Management，SCM）的影响，整合了140份定量调查问卷的回复与两场深度定性访谈的调研洞察。该数据集涵盖人口统计特征、组织就绪度、人工智能应用趋势，以及其对交付时长、库存周转率、成本效益等关键绩效指标的影响。调查问卷覆盖了人工智能的应用场景、收益、挑战，以及隐私侵犯、劳动力替代、数据偏见等伦理议题。访谈则提供了关于领导力角色、实施障碍，以及数字孪生、自主物流等未来战略的精细化视角。本数据集对人工智能在供应链管理中的变革性作用展开了全面分析，着重凸显其运营收益、战略挑战与伦理影响，可为研究人员与行业从业者提供极具价值的参考资源。

搜集汇总

背景与挑战

背景概述

该数据集研究了人工智能在汽车制造业供应链管理中的影响，结合了140份定量调查和两次定性访谈的数据。内容涵盖AI应用趋势、组织准备度、关键绩效指标影响（如交付时间、库存周转率）以及伦理问题（如隐私、数据偏见），为研究者和行业从业者提供了全面的分析资源。