The Application of Pricing Model in Self - Service Crowdsourcing Platform

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. Introduction ‘Making money by taking a photo’ is a crowdsourcing self-service model in new business on the Internet. Firstly, users download the APP and register as a member of the APP. Then they can earn remuneration after finishing a task assigned by the App. Usually, the tasks are taking the photos needed to improve the map or so on. Crowdsourcing is the key service model. The term "crowdsourcing" was first proposed by Jeff Howe[1] in Wired in the United States in 2006. Crowdsourcing refers to a company or organization in the past by the staff to perform the tasks of the work in a voluntary manner to outsource to the unspecified mass Network approach. Dominic[2] pointed out that the crowdsourcing bidding behavior is similar to the reverse auction bidding, and has the characteristics of reverse and risk-profit. Using the game theory model to study the quantitative relationship between the bonus and the received works, Dominic found that awards have obvious consistency with the number of participants Logarithmic form of decreasing growth. Christian and Yi Xu[3] designed multiple rounds of competition laws to reduce the loss caused by participants' sabotage. Nikolay[4][5] recommended to establish a member honor system. Ma Yan[6] designed the equilibrium pricing and cost gradient based scheduling strategy of scientific workflow to achieve maximal profits of service providers. This crowdsourcing self-service platform on Internet[7] provides enterprises with various business inspections and information collection, which can save costs compared with the traditional market research methods and ensure the authenticity of investigation data and shorten the investigation cycle. Therefore, the APP becomes the core of platform operation. Moreover, making reasonable price for the tasks in APP is the crucial element. If the pricing is not appropriate, none of the members would like to accept the task, which led to the failure of commodity inspection. In consideration of the statement above, this article analyzes the pricing problems in crowdsourcing model and proposes a model of ‘incentive pricing scheme’. Research about the Rule of Pricing What is needed for a crowdsourcing model is a pricing method that is suitable for service products. The traditional pricing rules of service products are divided into cost-oriented pricing, 7 2018 4th Annual International Conference on Modern Education and Social Science (MESS 2018) Copyright © 2018, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Social Science, Education and Humanities Research (ASSEHR), volume 183