Responsible Big Data Analytics for Enhancing E-Business Services

Authors

  • Xuehui Wei Confucius Institute at Papua New Guinea University of Technology, Papua New Guinea Author
  • Zhaohao Sun School of Business, PNG University of Technology, Lae 411, Papua New Guinea Author

DOI:

https://doi.org/10.47363/JAICC/2024(3)370

Keywords:

Big Data, Big Data Analytics, Responsible Big Data Analytics, e-Business Services, Artificial Intelligence (AI)

Abstract

This article examines responsible big data analytics for e-business services and looks at how we can use responsible big data analytics to enhance responsible e-business services. It addresses why responsibility matters to big data analytics and e-business services. It reviews big data analytics and examines Google analytics as a data processing flow-oriented analytics and presents a data processing flow-oriented big data analytics. It examines big data analytics services as an e-business service and proposes four strategies for applying responsible big data analytics to enhance responsible e-business services. The proposed approach in this article might facilitate the research and development of big data, business analytics, responsible big data analytics, e-services, and digital services. 

Author Biographies

  • Xuehui Wei, Confucius Institute at Papua New Guinea University of Technology, Papua New Guinea

    Confucius Institute at Papua New Guinea University of Technology, Papua New Guinea

  • Zhaohao Sun, School of Business, PNG University of Technology, Lae 411, Papua New Guinea

     Zhaohao Sun, School of Business, PNG University of Technology, Lae 411, Papua New Guinea.

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Published

2024-08-05

How to Cite

Responsible Big Data Analytics for Enhancing E-Business Services. (2024). Journal of Artificial Intelligence & Cloud Computing, 3(4), 1-9. https://doi.org/10.47363/JAICC/2024(3)370

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