Abstract
Although big data, big data analytics (BDA) and business intelligence have attracted growing attention of both academics and practitioners, a lack of clarity persists about how BDA has been applied in business and management domains. In reflecting on Professor Ayre's contributions, we want to extend his ideas on technological change by incorporating the discourses around big data, BDA and business intelligence. With this in mind, we integrate the burgeoning but disjointed streams of research on big data, BDA and business intelligence to develop unified frameworks. Our review takes on both technical and managerial perspectives to explore the complex nature of big data, techniques in big data analytics and utilisation of big data in business and management community. The advanced analytics techniques appear pivotal in bridging big data and business intelligence. The study of advanced analytics techniques and their applications in big data analytics led to identification of promising avenues for future research.
Original language | English |
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Pages (from-to) | 321-335 |
Number of pages | 15 |
Journal | Technological Forecasting and Social Change |
Volume | 143 |
Early online date | 12 Jun 2018 |
DOIs | |
Publication status | Published - 1 Jun 2019 |
Research Groups and Themes
- MGMT Operations and Management Science
- MGMT theme Innovation and Digitalisation
Keywords
- Advanced techniques
- Big data
- Big data analytics
- Business intelligence
- Decision-making