Pricing Model of Self-Service Package

DOI

10.2991/icem-17.2018.148How to use a DOI?

Keywords

Crowdsourcing; Pricing; Clustering analysis; The clustering center; Latitude and longitude

Abstract

In recent years, with a massive rise of mobile Internet applications, enterprise the self-help service crowdsourcing platform based on mobile Internet use of network resources for commercial inspection and information gathering. The paper mainly studies the factors that affect pricing in package task, eventually establish a reasonable pricing model, improve the completion of tasks. To obtain pricing rule, the first big data processing, using SPSS software for longitude, latitude and pricing for clustering analysis, it is concluded that the clustering center and clustering center distance and location analysis task thus giving pricing patterns and clustering center task latitude and longitude position and the distance of the three factors of relationship, and then find out the pricing rule, multivariate regression model. But because of the analysis of influence factors is too single, which leads to the unreasonable parts of pricing, the final task can't complete; So, give the pricing, tasks unfinished cause failure.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhuang Rong
PY  - 2018/01
DA  - 2018/01
TI  - Pricing Model of Self-Service Package
BT  - Proceedings of the 2017 7th International Conference on Education and Management (ICEM 2017)
PB  - Atlantis Press
SP  - 726
EP  - 729
SN  - 2352-5428
UR  - https://doi.org/10.2991/icem-17.2018.148
DO  - 10.2991/icem-17.2018.148
ID  - Rong2018/01
ER  -