  Existed studies have shown that crowd workers are more interested in taking
similar tasks in terms of context, field, and required technology, rather than
tasks from the same project. Therefore, it is important for task owners to not
only be able to plan 'when the new task should arrive?' but also, to justify
'what the strategic task arrival plan should be?' in order to receive a valid
submission for the posted task. To address these questions this research
reports an empirical analysis on the impact of similar task arrival in the
platform, on both tasks' success level and workers' performance. Our study
supports that 1- A higher number of arrival tasks with similarity level greater
than 70% will negatively impact on task competition level, 2- A bigger pool of
similar open and arrival tasks would lead to lower worker attraction and
elasticity, and 3- Workers who register for tasks with lower similarity level
are more reliable to make a valid submission and 4- arriving task to the pool
of 60% similar task will provide the highest chance of receiving a valid
submission.
