Key Technology Difficulties of Crowdsourcing in Petrochemical Industry
- Authors: Huang Y.1, Chen M.1
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Affiliations:
- State Key Laboratory of Software Engineering, School of Computer Science, Wuhan University
- Issue: Vol 55, No 5 (2019)
- Pages: 635-642
- Section: Article
- URL: https://journal-vniispk.ru/0009-3092/article/view/236022
- DOI: https://doi.org/10.1007/s10553-019-01076-8
- ID: 236022
Cite item
Abstract
Crowdsourcing is an effective way for the petrochemical enterprises to realize open technology innovation and improve social efficiency. In this paper we analysed the two types of crowdsourcing tasks, and put forward three crowdsourcing scenarios for the petrochemical industry: task intelligent matching scenario, innovative entrepreneurship incubation scenario, and reward scenario. By analyzing the operation constraints of the three scenarios, this research proposed the key- technology difficulties of crowdsourcing in the petrochemical industry. These are task intelligent matching under multi-dimensional constraints, task price evaluation, and multi-dimensional reputation evaluation of the task participants.
About the authors
Yanrong Huang
State Key Laboratory of Software Engineering, School of Computer Science, Wuhan University
Email: chenmin@whu.edu.cn
China, Wuhan, Hubei, 430072
Min Chen
State Key Laboratory of Software Engineering, School of Computer Science, Wuhan University
Author for correspondence.
Email: chenmin@whu.edu.cn
China, Wuhan, Hubei, 430072
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