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.read more
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New Trends in People Analytics
TL;DR: The use of people-related data to improve and inform all types of management, business, and HR decisions throughout the company is most commonly done in many organizations, with simple spreadsheets, effective questions to answer, and good storytelling and change management as discussed by the authors.
Data Visualisation and Decision Making Solutions to Forecast and Manage Complex Urban Challenges : STAKEHOLDER EVALUATION REPORT
Markus Rasmusson,Nicklas Guldåker,Per-Olof Hallin,Jonathan Bright,Yvonne Dittrich,Susanne Dobner,Leonard Mack,Christian Voigt +7 more
TL;DR: This report provides an overview and examples of how different organisations in the European cities of Malmo, Copenhagen, Oxford, Manchester and Vienna work with and relate to possibilities, challenges and limitations of data-driven decision making.
Journal ArticleDOI
Integrating Data-Driven Decision-Making in the Egyptian Hotel Industry: Revenue Management Perspective
TL;DR: In this paper, the authors present a new model of intelligent pricing that concentrates on using data-driven decision-making (DdDM) as a new approach to hotel revenue management (RM).
Journal ArticleDOI
Hybrid decision support system framework for crop yield prediction and recommendation
TL;DR: A hybrid decision support system which uses both quantitative and qualitative data to provide effective and efficient decision making for crop yield prediction and suggestion and the framework uses artificial neural network as a data mining technique for uncovering hidden knowledge in stored dataset.
Book ChapterDOI
Identifying Virtual Tribes by Their Language in Enterprise Email Archives
Lee Morgan,Peter A. Gloor +1 more
TL;DR: The authors identified members of digital virtual tribes by the words they use in their everyday language, characterizing email users by applying four macro-categories based on their belief systems (alternative reality, personality, recreation, and ideology) developed in earlier research.
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