Technology in the 21st Century: New challenges and opportunities

Jie Sheng, Joseph Amankwah-Amoah*, Xiaojun Wang

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

15 Citations (Scopus)
221 Downloads (Pure)

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 languageEnglish
Pages (from-to)321-335
Number of pages15
JournalTechnological Forecasting and Social Change
Volume143
Early online date12 Jun 2018
DOIs
Publication statusPublished - 1 Jun 2019

Structured keywords

  • MGMT Operations and Management Science
  • MGMT theme Innovation and Digitalisation

Keywords

  • Advanced techniques
  • Big data
  • Big data analytics
  • Business intelligence
  • Decision-making

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