Big Data analytics for sustainability: Insight through technological innovation

被引：5
|
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.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Big data analytics for sustainability
    Lv, Zhihan
    Iqbal, Rahat
    Chang, Victor
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 86 : 1238 - 1241
  • [2] A study on big data analytics and innovation: From technological and business cycle perspectives
    Sivarajah, Uthayasankar
    Kumar, Sachin
    Kumar, Vinod
    Chatterjee, Sheshadri
    Li, Jing
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 202
  • [3] Big Data Analytics -Innovation and Practices
    Cao, Longbing
    [J]. 2015 4TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO) (TRENDS AND FUTURE DIRECTIONS), 2015,
  • [4] An insight into application of big data analytics in healthcare
    Nalluri, Sravani
    Sasikala, R.
    [J]. INTERNATIONAL JOURNAL OF DATA MINING MODELLING AND MANAGEMENT, 2020, 12 (01) : 87 - 117
  • [5] Insight Of Big Data Analytics In Healthcare Industry
    Sabharwal, Satwik
    Gupta, Samridhi
    Thirunavukkarasu, K.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2016, : 95 - 100
  • [6] An Insight into Big Data Analytics - Methods and Application
    Sanjay, Manjula
    Alamma, B. H.
    [J]. 2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 1, 2016, : 590 - 594
  • [7] Big Data fingerprinting information analytics for sustainability
    Kobusinska, Anna
    Pawluczuk, Kamil
    Brzezinski, Jerzy
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 86 : 1321 - 1337
  • [8] Technological Innovation, Data Analytics, and Environmental Enforcement
    Glicksman, Robert L.
    Markell, David L.
    Monteleoni, Claire
    [J]. ECOLOGY LAW QUARTERLY, 2017, 44 (01) : 41 - 88
  • [9] Big data, analytics and artificial intelligence for sustainability
    Ojokoh, Bolanle A.
    Samuel, Oluwarotimi W.
    Omisore, Olatunji M.
    Sarumi, Oluwafemi A.
    Idowu, Peter A.
    Chimusa, Emile R.
    Darwish, Ashraf
    Adekoya, Adebayo F.
    Katsriku, Ferdinand A.
    [J]. SCIENTIFIC AFRICAN, 2020, 9
  • [10] Big Data, Big Data Analytics Capability, and Sustainable Innovation Performance
    Hao, Shengbin
    Zhang, Haili
    Song, Michael
    [J]. SUSTAINABILITY, 2019, 11 (24)
12345