Significance of Task Significance in Online Marketplaces for Work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Online marketplaces for work like Amazon Mechanical Turk facilitate the sourcing of low expertise tasks in a fast and cost effective way. In this study, we explore the impact of task significance on work quality by informing workers of the purpose of the task and who benefits from it. Results from a laboratory experiment and a field experiment showed that perceived task significance improved work quality, but only for participants who recalled the purpose statement. In contrast, increasing monetary payment by 50% had no impact on work quality. A majority of participants who received the purpose statement were not able to recall it. Further analysis showed worker attributes such as English ability and personality traits influenced the likelihood of recall whereas rich media format had no effects. Overall, our work highlights the promise of task significance as a way to motivate online workers and the challenge of promoting task significance online.

Original languageEnglish (US)
Title of host publicationProceedings of the 55th Annual Hawaii International Conference on System Sciences, HICSS 2022
EditorsTung X. Bui
PublisherIEEE Computer Society
Pages4485-4494
Number of pages10
ISBN (Electronic)9780998133157
StatePublished - 2022
Event55th Annual Hawaii International Conference on System Sciences, HICSS 2022 - Virtual, Online, United States
Duration: Jan 3 2022Jan 7 2022

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2022-January
ISSN (Print)1530-1605

Conference

Conference55th Annual Hawaii International Conference on System Sciences, HICSS 2022
Country/TerritoryUnited States
CityVirtual, Online
Period1/3/221/7/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE Computer Society. All rights reserved.

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