Proceedings of the 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)

The Application of Pricing Model in Self - Service Crowdsourcing Platform

Authors
Zhi-Peng MA, Shu-Wan YAO, Ke-Fei XU, Ji-Li WANG
Corresponding Author
Zhi-Peng MA
Available Online April 2018.
DOI
https://doi.org/10.2991/mess-18.2018.2How to use a DOI?
Keywords
Crowdsourcing, Pricing rules, Incentive pricing model, Fitting with Matlab
Abstract
The crowdsourcing self-service model is an important part in new Internet business. In this case, setting the price is the core issue of the model. In order to provide a reasonable price and stimulate the enthusiasm of members of the website, this paper proposed a model of ‘incentive pricing scheme’ through analysis of a large amount of data. The price includes the basic amount and incentive reward amount in two parts. The basic amount is a function of four variables of the mission, including location, the membership location, the membership task quota and the mission density. Incentive reward amount is a function of the member's performance coefficient weighted by the coefficient of variation method. Matlab is utilized to fit data and get the coefficient. The pricing model can be used to analyze the real data set to get a reasonable task pricing scheme.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2018
ISBN
978-94-6252-526-9
ISSN
2352-5398
DOI
https://doi.org/10.2991/mess-18.2018.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhi-Peng MA
AU  - Shu-Wan YAO
AU  - Ke-Fei XU
AU  - Ji-Li WANG
PY  - 2018/04
DA  - 2018/04
TI  - The Application of Pricing Model in Self - Service Crowdsourcing Platform
BT  - 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/mess-18.2018.2
DO  - https://doi.org/10.2991/mess-18.2018.2
ID  - MA2018/04
ER  -