Big Data analytics for sustainability: Insight through technological innovation

被引：8
|
作者：
Barnes, Stuart J. [1 ]
Guo, Yue [2 ]
Chan, Jason [3 ]
机构：
[1] Newcastle Univ, Newcastle upon Tyne, England
[2] Southern Univ Sci & Technol, Shenzhen, Peoples R China
[3] Univ Minnesota, Minneapolis, MN USA
来源：
INFORMATION & MANAGEMENT | 2022年 / 59卷 / 05期
关键词：
Sustainability; Analytics; Health; Consumption; Environment; Methods; SMART CITY; SYSTEMS;
D O I：
10.1016/j.im.2022.103627
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
How do information systems and big data analytics help to enable a sustainable future? This question is investigated in nine papers in this special issue that examine the issue of big data analytics for sustainability from a variety of perspectives. Broadly, these papers can be considered in four main areas: health, online behavior and consumption, safety and the environment, and methods to improve understanding of sustainability issues. Recent advances in data-driven decision-making analytics research focusing on different aspects of sustainability are discussed in these papers, including air pollution management, online health consultation services, gamification of exercise and health, sustainable urban mobility, the sustainable use of resources in hospitals, the design of anticrime information support systems, the interdependence effects among mobile social apps, networks of sustainable development goals, and the spillover effect of sustainable consumption.
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页数：4
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