Financial incentives and the "performance of crowds"

Author:

Mason Winter1,Watts Duncan J.1

Affiliation:

1. Yahoo! Research, New York, NY

Abstract

The relationship between financial incentives and performance, long of interest to social scientists, has gained new relevance with the advent of web-based "crowd-sourcing" models of production. Here we investigate the effect of compensation on performance in the context of two experiments, conducted on Amazon's Mechanical Turk (AMT). We find that increased financial incentives increase the quantity, but not the quality, of work performed by participants, where the difference appears to be due to an "anchoring" effect: workers who were paid more also perceived the value of their work to be greater, and thus were no more motivated than workers paid less. In contrast with compensation levels, we find the details of the compensation scheme do matter--specifically, a "quota" system results in better work for less pay than an equivalent "piece rate" system. Although counterintuitive, these findings are consistent with previous laboratory studies, and may have real-world analogs as well.

Publisher

Association for Computing Machinery (ACM)

Reference33 articles.

1. Harnessing Crowds: Mapping the Genome of Collective Intelligence

2. Games with a Purpose

3. Un(der)paid Innovators: The Commercial Utilization of Consumer Work through Crowdsourcing. Science;Kleeman F.;Technology & Innovation Studies,2008

Cited by 251 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Explaining crowdworker behaviour through computational rationality;Behaviour & Information Technology;2024-04-24

2. Strategic Content Generation and Monetization in Financial Social Media;Information Systems Research;2024-02-20

3. Strategic Content Generation and Monetization in Financial Social Media;SSRN Electronic Journal;2023

4. The Inefficient Technological Revolution;SSRN Electronic Journal;2023

5. A Team Crowdsourcing Method Combining Competition and Collaboration;2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2022-09-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3