Big data analytics and enterprises: a bibliometric synthesis of the literature-Reference-Cited by-同舟云学术

Big data analytics and enterprises: a bibliometric synthesis of the literature

Published:2020-03-17 Issue:6 Volume:14 Page:737-768
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Khanra Sayantan¹²^ORCID,Dhir Amandeep¹³⁴^ORCID,Mäntymäki Matti¹^ORCID

Affiliation:

1. Turku School of Economics, University of Turku, Turku, Finland

2. Indian Institute of Management Rohtak, Haryana, India

3. School of Business and Management, LUT University, Lappeenranta, Finland

4. Optentia Research Focus Area, North-West University, Vanderbijlpark, South Africa

Funder

Academy of Finland

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2020.1734241

Reference72 articles.

1. Business analytics: Why now and what next?

2. Big data analytics in E-commerce: a systematic review and agenda for future research

3. Big data and disaster management: a systematic review and agenda for future research

4. How to improve firm performance using big data analytics capability and business strategy alignment?

5. Åström, F. 2002. “Visualizing Library and Information Science Concept Spaces through Keyword and Citation Based Maps and Clusters.” In Emerging frameworks and methods: Proceedings of the fourth international conference on conceptions of Library and Information Science (CoLIS4), edited by Bruce H. and Fidel R, 185–197. Greenwood Village: Libraries Unlimited.

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