Algorithmic Management for Improving Collective Productivity in Crowdsourcing.

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Bibliographic Details
Title: Algorithmic Management for Improving Collective Productivity in Crowdsourcing.
Authors: Yu H; Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore, 639798, Singapore. han.yu@ntu.edu.sg., Miao C; Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore, 639798, Singapore. ascymiao@ntu.edu.sg.; School of Computer Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore. ascymiao@ntu.edu.sg., Chen Y; School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China. yqchen@ict.ac.cn.; Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China. yqchen@ict.ac.cn., Fauvel S; Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore, 639798, Singapore., Li X; Institute of Network Computing and Information Systems, Peking University, Beijing, 100871, China., Lesser VR; School of Computer Science, University of Massachusetts Amherst, Amherst, Massachusetts, 01002, USA.
Source: Scientific reports [Sci Rep] 2017 Oct 02; Vol. 7 (1), pp. 12541. Date of Electronic Publication: 2017 Oct 02.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-017-12757-x