Dissatisfaction on Crowdsourcing Platform: Two-Factor Theory Approach

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.