Journal ArticleDOI
Strength in Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?
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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.read more
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Data Protection Review: Impact on EU Innovation and Competitiveness
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Journal ArticleDOI
The flame dilemma: A data analytics study of fireplace influence on winter energy consumption at the residential household level
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Journal ArticleDOI
The nexus between data analytics and firm performance
Raazia Gul,Nazima Ellahi +1 more
TL;DR: The increased access and availability of information technology solutions have brought structural shifts in traditional business models, processes, and activities worldwide, as a result, the innova... as mentioned in this paper,.
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Causal Machine Learning and Business Decision Making
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Do You Like According to Your Lifestyle? A Quantitative Analysis of the Relation Between Individual Facebook Likes and the Users’ Lifestyle
TL;DR: This paper investigates the relationship between Facebook Likes and the lifestyle of individuals based on the activity, interests, and opinion (AIO) model and results indicate weak monotonic correlations between the AIO and the Like information.
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