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Journal ArticleDOI

Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?

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TLDR
Evidence that the effect of DDD on the productivity do not appear to be due to reverse causality is found, providing some of the first large scale data on the direct connection between data-driven decision making and firm performance.
Abstract
We examine whether firms that emphasize decision making based on data and business analytics (“data driven decision making” or DDD) show higher performance. Using detailed survey data on the business practices and information technology investments of 179 large publicly traded firms, we find that firms that adopt DDD have output and productivity that is 5-6% higher than what would be expected given their other investments and information technology usage. Furthermore, the relationship between DDD and performance also appears in other performance measures such as asset utilization, return on equity and market value. Using instrumental variables methods, we find evidence that the effect of DDD on the productivity do not appear to be due to reverse causality. Our results provide some of the first large scale data on the direct connection between data-driven decision making and firm performance.

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Book

Big data: The next frontier for innovation, competition, and productivity

James Manyika
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
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Understanding the paradigm shift to computational social science in the presence of big data

TL;DR: It is argued against the assertion that theory no longer matters and some new research directions are offered that can allow business analysts and researchers to achieve frequent, controlled and meaningful observations of real-world phenomena.
Journal ArticleDOI

Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]

TL;DR: In this article, the authors bring together diverse perspectives, coming from different geographical locations with different core research expertise and different affiliations and work experiences, to share the data analytics opinions and perspectives of the authors relating to the new opportunities and challenges brought forth by the big data movement.
References
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Proceedings Article

Testing Three-Way Complementarities: Performance Pay, Monitoring and Information Technology

TL;DR: A principal-agent model examines how these practices work together as an incentive system that produces the largest productivity premium when the practices are implemented in concert, and finds evidence of three-way complementarities among information technology, performance pay, and monitoring practices.
Proceedings Article

The Extroverted Firm: How External Information Practices Affect Productivity.

TL;DR: In this article, the authors combine detailed survey data on firms' organizational practices with information technology (IT) investment measures to test the hypothesis that in addition to decentralization, external focus is another important determinant of returns to IT investment.
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