Big Data and Business Intelligence
Big data and business intelligence research examines how organizations collect, process, and interpret large volumes of operational and market data to make better decisions—spanning everything from forecasting demand in supply chains to identifying early warning signs of financial risk. The core interest is understanding when and why data-driven approaches actually improve firm performance, rather than assuming they automatically do. Researchers are actively working through questions about how to integrate analytics into existing decision support systems without overwhelming managers with noise, and how smaller or less data-mature firms can benefit from methods originally designed for tech giants. Sustainability and organizational transparency have emerged as newer concerns, pushing the field to consider not just whether big data optimizes outcomes, but which outcomes it should be optimizing for.
- Works
- 193,692
- Total citations
- 1,247,972
- Keywords
- Big DataAnalyticsBusiness IntelligenceSupply Chain ManagementPredictive AnalyticsData Science
Top papers in Big Data and Business Intelligence
Ordered by total citation count.
- The Coding Manual for Qualitative Researchers↗ 17,968OA
- Research methods for business: A skill building approach↗ 17,085
- The NIST definition of cloud computing↗ 11,685OA
- The DeLone and McLean Model of Information Systems Success: A Ten-Year Update↗ 11,517
- Introduction to Information Retrieval↗ 11,010
- <i>Review</i> : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2↗ 10,019
- Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining↗ 6,523
- Structural Equation Modeling and Regression: Guidelines for Research Practice↗ 6,405OA
- Business Intelligence and Analytics: From Big Data to Big Impact↗ 6,098
- Task-Technology Fit and Individual Performance↗ 5,829
- An Introduction to Statistical Methods and Data Analysis↗ 5,383
- A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1↗ 5,237
Active researchers
Top authors in this area, ranked by h-index.