Refereed article in conference proceedings (A4)
Big data in emission producing manufacturing industries – An explorative literature review
List of Authors: Esa Hämäläinen, Tommi Inkinen
Editors: C. Ellul, A. Abdul Rahman, V. Coors, S. Zlatanova, R. Laurini, M. Rumor
Conference name: International Conference on Smart Data and Smart Cities
Publication year: 2019
Journal: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Book title *: 4th International Conference on Smart Data and Smart Cities (Volume IV-4/W9)
Title of series: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume number: IV-2/W8
Start page: 57
End page: 64
ISSN: 2194-9042
eISSN: 2194-9050
DOI: http://dx.doi.org/10.5194/isprs-annals-IV-4-W9-57-2019
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/42189449
Data management and intelligent systems provide new possibilities and
trajectories for environmentally robust industrial production. Global
climate change has evoked a number of fresh studies on data management,
openness and environmental innovation. This literature review approaches
current academic research focusing on big data, industry, and
emissions. The paper is based on key word searches that returned
publications from high-class scientific journals dedicated to this
particular topic. The article reading illustrates that big data is
utilised in various industries, and explores a large variety of
polluting substances. The authors argue that innovative and insightful
new ways of using big data provide tools for emission monitoring and
clean technology utilisation. The diversity in the analysed articles
proves the complexity of market operations and corporate responsibility.
The paper concludes in addressing the need of using and combining data
resources, particularly at the industry unit level, in order to develop
more efficient tools for environmental monitoring and decision making.
Downloadable publication This is an electronic reprint of the original article. |