research-article

Dissatisfaction on crowdsourcing platform: two-factor theory approach

Authors:

Andrey Barashev,

Guoxin LiAuthors Info & Claims

IC4E '19: Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning

Pages 315 - 319

https://doi.org/10.1145/3306500.3306557

Published: 10 January 2019 Publication History

Abstract

The current paper employs Two-factor theory and semi-structured interviews methodology in order to investigate factors influencing worker's dissatisfaction level on the crowdsourcing platform. Dissatisfaction might lead to lower levels of engagement and effort exposed on the crowdsourcing platform thus leading to diminishing working results. The results of the current study show that we can delineate platform features that would be attributed to the theoretically proposed hygiene factors of the pay plan, working conditions, status, job security, benefits as well as policies and supervisory practices influencing levels of dissatisfaction on a crowdsourcing platform. In addition, this study shows that pay-plan, working conditions, job security, policies, and supervisory practices are indeed of the most important for the workers. Hence, improving the above-said features is a good way for lowering workers' level of dissatisfaction. A clear understanding of what influence workers could help work providers and platform managers to implement new features and rules so as to discard the diminishing influence of dissatisfaction.

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Cited By

Al Khasawneh MAl Hadeed OAbdrabbo TAbu Hashesh MAl-Abdullah M(2022)An Investigation of the Factors That Motivate Users to Participate in Online CommunitiesResearch Anthology on Fandoms, Online Social Communities, and Pop Culture10.4018/978-1-6684-4515-0.ch002(20-36)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-4515-0.ch002

Index Terms

Dissatisfaction on crowdsourcing platform: two-factor theory approach
1. Information systems
  1. World Wide Web
    1. Web applications
      1. Crowdsourcing
        Incentive schemes

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cover image ACM Other conferences

IC4E '19: Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning

January 2019

469 pages

ISBN:9781450366021

DOI:10.1145/3306500

Conference Chairs:
Kuan-Chou Chen
Purdue University Northwest
,
Yongsheng Ma
University of Alberta, Canada

Copyright © 2019 ACM.

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Association for Computing Machinery

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Publication History

Published: 10 January 2019

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The National Natural Science Foundation of China

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IC4E 2019

IC4E 2019: 2019 10th International Conference on E-Education, E-Business, E-Management and E-Learning

January 10 - 13, 2019

Tokyo, Japan

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Cited By

Al Khasawneh MAl Hadeed OAbdrabbo TAbu Hashesh MAl-Abdullah M(2022)An Investigation of the Factors That Motivate Users to Participate in Online CommunitiesResearch Anthology on Fandoms, Online Social Communities, and Pop Culture10.4018/978-1-6684-4515-0.ch002(20-36)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-4515-0.ch002

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