Big Data Investment, Skills, and Firm Value

• 成果类型: Article
• 署名作者: Tambe, Prasanna
• 署名单位: New York University
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2014.1899
• 发表日期: 2014
• 页码: 1452-1469
• 关键词: information systems; IT policy and management; economics of IS; strategic management of IT; management of IT human resources; Hadoop; big data; business analytics; technical skills; IT value; IT productivity; IT workforce

摘要

This paper analyzes how labor market factors have shaped early returns on big data investment using a new data source-the LinkedIn skills database. The data source enables firm-level measurement of the employment of workers with technical skills such as Hadoop, MapReduce, and Apache Pig. From 2006 to 2011, Hadoop investments were associated with 3% faster productivity growth, but only for firms (a) with significant data assets and (b) in labor markets where similar investments by other firms helped to facilitate the development of a cadre of workers with complementary technical skills. The benefits of labor market concentration decline for investments in mature data technologies, such as Structured Query Language-based databases, for which the complementary skills can be acquired by workers through universities or other channels. These findings underscore the importance of geography, corporate investment, and skill acquisition channels for explaining productivity growth differences during the spread of new information technology innovations.