Investigating the Relationship between Capability and Motivation of Crowd Worker to Get Better Performance: A Mathematical Approach

Abstract

The quality of tasks performed by a crowd worker is questionable. Most of the workers are lost if their first work is of low quality, which may influence them to acquire future work in crowdsourcing. Research has highlighted that workers either lack motivation or capability. However, the integrative perspective of capability and motivation in current crowdsourcing research is scarce. There is a need to investigate the relationship of capability and motivation of crowd worker to understand the phenomenon of getting better performance, which ultimately produces a quality outcome. This research aims toward understanding such relationship with mathematical perspective. The traditional renowned and well-accepted theories related to job performance are used for the quantification of motivation, capability, and performance for crowd workers to investigate the impact of capability in relation to the motivation on the performance of crowd worker. Experimental results suggest that formulae will benefit the requester to evaluate the performance of a crowd worker before providing him/her the task and benefit in reducing unemployment in the situation of COVID-19 pandemic.