Collaboration, Invisible Work, and The Costs of Macrotask Freelancing

Author:

Hulikal Muralidhar Srihari1,Rintel Sean2,Suri Siddharth3

Affiliation:

1. Microsoft, Noida, India

2. Microsoft Research, Cambridge, United Kingdom

3. Microsoft Research, Redmond, WA, USA

Abstract

Online labour platforms promise efficient, low-friction matching of workers with clients at scale and on-demand. Prior studies on Upwork have shown that the combination of specialized knowledge and expertise, high autonomy, and extent of client-worker engagement makes macrotasks a unique category of 'on-demand' work. However, there is a need to unpack the nature of macrotask work from the freelancers' perspective. Based on a qualitative study of 21 freelancers on Upwork, this paper fills this important gap by delineating how freelancers reason about accomplishing macrotasks, their interaction with clients, the key challenges that they face in various stages of the work process, and the strategies they devise to mitigate the costs and overhead. This paper shows that freelancers perceive accomplishing macrotasks as a collaborative achievement with the client. It also demonstrates that the skill-intensive nature of tasks implies that matching freelancer with the task/client is of enormous importance. It describes three programmatic solutions that the platform offers to facilitate the matching process along with their benefits and limitations. It, then, shows how freelancers seek to minimize the costs and work associated with matching and collaboration through repeat hiring along the benefits they result in. Lastly, the paper highlights how the same set of core issues is mirrored for both the freelancer and client sides of the market, which need to be addressed in order to enhance the ease and effectiveness of client-freelancer collaboration.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Cited by 2 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

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