Reuse of knowledge by efficient data analytics to fix societal challenges

作者：

Highlights：

• In this paper, the Efficient data analytics (EDA) method has been suggested to fix societal challenges.

• The proposed methods aim to share the authors' views and perspectives on the efficient data revolution's emerging opportunities and challenges.

• EDA provides four key aspects of technology reuse: strategy, method, culture, and information technology.

• The experimental results suggested EDA increases reusability knowledge in the organization, operational cost, prediction ratio, Community engagement ratio, and public trust.

摘要

•In this paper, the Efficient data analytics (EDA) method has been suggested to fix societal challenges.•The proposed methods aim to share the authors' views and perspectives on the efficient data revolution's emerging opportunities and challenges.•EDA provides four key aspects of technology reuse: strategy, method, culture, and information technology.•The experimental results suggested EDA increases reusability knowledge in the organization, operational cost, prediction ratio, Community engagement ratio, and public trust.

论文关键词：Reuse of knowledge,Efficient data analytics,Societal challenges,Economic development,Climate

论文评审过程：Received 3 May 2021, Revised 4 September 2021, Accepted 8 September 2021, Available online 21 September 2021, Version of Record 21 September 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102764