The barriers to big data adoption in developing economies-Reference-Cited by-同舟云学术

The barriers to big data adoption in developing economies

Published:2020-07-29 Issue:1 Volume:87 Page:
ISSN:1681-4835
Container-title:The Electronic Journal of Information Systems in Developing Countries
language:en
Short-container-title:Electron j inf syst dev ctries

Author:

Alalawneh Ammar A. F.¹,Alkhatib Saleh F.¹^ORCID

Affiliation:

1. Business Administration Department, Faculty of Economic and Administrative Sciences Yarmouk University Irbid 21163 Jordan

Publisher

Wiley

Subject

Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/isd2.12151

Reference107 articles.

1. Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh

2. Conceptual Model Development of Big Data Analytics Implementation Assessment Effect on Decision-Making

3. Agrawal R. Kadadi A. Dai X. &Andres F.(2015). Challenges and opportunities with big data visualization. In Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems (pp. 169–173).

4. Challenges and drivers for data mining in the AEC sector

5. Analytics and Big Data

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