The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
Emerging trends in business analytics
Communications of the ACM - Evolving data mining into solutions for insights
Corporation of the 1990s: Information Technology and Organizational Transformation
Corporation of the 1990s: Information Technology and Organizational Transformation
NEBIC: A Dynamic Capabilities Theory for Assessing Net-Enablement
Information Systems Research
Transactive Memory Systems in Organizations: Matching Tasks, Expertise, and People
Organization Science
Implementation costs of IS-enabled organizational change
Information and Organization
Competing on Analytics: The New Science of Winning
Competing on Analytics: The New Science of Winning
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Business analytics has the potential to deliver performance gains and competitive advantage. However, a theoretically grounded model identifying the factors and processes involved in realizing those performance gains has not been clearly articulated in the literature. This paper draws on the literature on dynamic capabilities to develop such a theoretical framework. It identifies the critical roles of organizational routines and organization-wide capabilities for identifying, resourcing and implementing business analytics-based competitive actions in delivering performance gains and competitive advantage. A theoretical framework and propositions for future research are developed.