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The Role of Information Technology and Management in Shaping Productivity and Worker Income

The Role of Information Technology and Management in Shaping Productivity and Worker Income
信息技术和管理在提高生产力和工人收入方面的作用
批准号:
1459715
负责人:
Nicholas Bloom
金额:
$52.67万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-15 至 2021-03-31

项目摘要

项目成果

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中文摘要
翻译
信息和通信技术对企业生产力、收入和不平等的影响越来越大,这引起了广泛的研究、商业和政策兴趣。该项目将与美国人口普查局合作,收集55,000家工厂使用信息技术的大量新数据集,结合详细的公司管理和绩效数据以及工人收入数据,以调查信息技术的原因和影响。这将创建一个人口普查超级调查,在人口普查区域数据中心公开提供,供美国各地的研究人员使用,并作为公共使用微数据集联机,供广泛的研究、商业和政策使用。此外,该项目将利用这一新数据集进行详细的实证分析,以描述和确定计算机化影响的原因,利用数据集中丰富的区域、行业和公司差异,特别是,该项目将联合收割机这一数据集与详细的普查工厂、公司和工人层面的数据以及外部数据相结合,进行实证分析,以描述和确定使用信息技术的原因和影响,以及管理实践中的变化对一系列结果的影响,包括增长,创新,生产力,就业和不平等。它将利用数据集中丰富的区域、行业和公司差异,提供准确的测量和识别采用这些做法的驱动因素。研究结果将与公共政策、商业决策和学术研究高度相关。
英文摘要
There is widespread research, business and policy interest in the growing impact of Information and Communication Technologies (IT) on firm productivity, income and inequality. This project would work with the US Census Bureau to collect a massive new 55,000 plant dataset on IT use, twinned with detailed firm management and performance data, and worker income data to investigate the causes and effects of IT. This would create a Census super-survey to be publicly available in the Census RDCs for researchers around the US to use, and on-line as a Public Use Microdata Set (PUMS) for the broad research, business and policy access. In addition, the project would use this new dataset to undertake detailed empirical analysis to describe and determine the causes of effects of computerization, exploiting the rich regional, industry and firm variation in the dataset spanning.In particular, the project will combine this dataset with detailed Census plant, firm and worker level data, as well as external data, to undertake empirical analysis to describe and determine the causes and effects of the use of IT and variations in management practices on a range of outcomes including growth, innovation, productivity, employment and inequality. It will utilize the rich regional, industry and firm variation in the dataset to deliver both accurate measurement and identification of the drivers of adoption of these practices. The findings would be highly relevant for public policy, business decisions and academic research.
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会议论文
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  • 批准号:
    0943047
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.58万
  • 财政年份:
    2009
  • 负责人:
    Nicholas Bloom
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
  • 批准号:
    W2433169
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    HAOFEI ZHANG
  • 依托单位:
SCIENCE CHINA Information Sciences