Using big data to make better decisions in the digital economy. Issue 17 (2nd September 2017)
- Record Type:
- Journal Article
- Title:
- Using big data to make better decisions in the digital economy. Issue 17 (2nd September 2017)
- Main Title:
- Using big data to make better decisions in the digital economy
- Authors:
- Tan, Kim Hua
Ji, Guojun
Lim, Chee Peng
Tseng, Ming-Lang - Abstract:
- Abstract : The question this special issue would like to address is how to harvest big data to help decision-makers to deliver better fact-based decisions aimed at improving performance or to create better strategy? This special issue focuses on the big data applications in supporting operations decisions, including advanced research on decision models and tools for the digital economy. Responds to this special issue was great and we have included many high-quality papers. We are pleased to present 13 of the best papers. The techniques presented include data mining, simulation and expert system with applications span across online reviews, food retail chain to e-health.
- Is Part Of:
- International journal of production research. Volume 55:Issue 17(2017)
- Journal:
- International journal of production research
- Issue:
- Volume 55:Issue 17(2017)
- Issue Display:
- Volume 55, Issue 17 (2017)
- Year:
- 2017
- Volume:
- 55
- Issue:
- 17
- Issue Sort Value:
- 2017-0055-0017-0000
- Page Start:
- 4998
- Page End:
- 5000
- Publication Date:
- 2017-09-02
- Subjects:
- big data -- business analytics -- decision support systems -- data mining -- digital economy
Factory management -- Periodicals
658.57 - Journal URLs:
- http://www.tandfonline.com/toc/tprs20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/00207543.2017.1331051 ↗
- Languages:
- English
- ISSNs:
- 0020-7543
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.486000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 1091.xml