Big Data Investment, Skills, and Firm Value
利用领英技能数据库，研究发现2006-2011年间Hadoop投资使企业生产率增长加快3%，但仅对拥有大量数据资产且所在劳动力市场有其他企业类似投资以培养配套技术工人的公司有效。
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. This paper was accepted by Alok Gupta, special issue on business analytics.