Big Data Investment, Skills, and Firm Value
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 t...
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| Published in | Management science Vol. 60; no. 6; pp. 1452 - 1469 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Linthicum
INFORMS
01.06.2014
Institute for Operations Research and the Management Sciences |
| Subjects | |
| Online Access | Get full text |
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| Abstract | 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
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| AbstractList | 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. 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. Reprinted by permission of the Institute for Operations Research and Management Science (INFORMS) 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 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. Keywords: 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 History: Received September 16, 2012; accepted August 16, 2013, by Alok Gupta, special issue on business analytics. This paper analyzes how labor market factors have shaped early returns on big data investment using a new data source—the Linkedln 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 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 . |
| Audience | Trade Academic |
| Author | Tambe, Prasanna |
| Author_xml | – sequence: 1 givenname: Prasanna surname: Tambe fullname: Tambe, Prasanna |
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| Snippet | 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... This paper analyzes how labor market factors have shaped early returns on big data investment using a new data source—the Linkedln skills database. The data... 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... 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... |
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| SubjectTerms | Analysis Big Data Business analytics Business enterprises Data analysis Debt management economics of IS Employment Firm value Hadoop Human capital Hypotheses Impact analysis Information management Information systems Information technology Innovation Innovations Investment pools Investment value Investments IT policy and management IT productivity IT value IT workforce Labor market Labor markets Labor productivity Labour market management of IT human resources Management science Productivity Productivity growth Professionals R&D Research & development Return on investment Skills Strategic management strategic management of IT Structured Query Language-SQL Studies technical skills Technological change Technological innovation Technology application U.S.A Workforce |
| Title | Big Data Investment, Skills, and Firm Value |
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