Abstract
Today, spatial crowdsourcing concept has been widely applied in various fields. The increasing ofmobile user and adoption of social network has catalyst spatial crowdsourcing growth. It has madevarious types of data to be easily collected and transmitted from different geographical location.However, the massive amounts of task in spatial area bring challenges for the online system tomanage especially when the task is heterogeneous, and the interactions are dynamic. Such scenario
 has alerted the researchers to understand different types of information in order to make taskassignment reliable and efficient.This study investigates current state of task assignment for spatialcrowdsourcing. It basically, aims to identify several issues like trend in publication and crowdcomputing areas that studies task assignment in crowdsourcing. We used Systematic LiteratureReview (SLR) method for analysing the trends and significance of task classification for betterdynamic crowd-computing.
Highlights
Spatial crowdsourcing concept has been widely applied in various fields such astransportationand commercial food delivery
With the advancement ofmobile technology and the emergence of Internet of Thing (IoT) catalysts the concept growth rapidly.Spatial crowdsourcing consists of three main elements that play a crucial role in the process whichare requester, system platform, and crowd worker
We adapted Systematic literature review (SLR) method to guide us evaluatingand interpreting available research on the crowdsourcing It is useful to developsupporting evidences and eliminate bias during theresearch process(Ali, 2018).The Systematic LiteratureReview (SLR) method consists of three main phases which are planning review, conducting review, and reporting review
Summary
Spatial crowdsourcing concept has been widely applied in various fields such astransportationand commercial food delivery. The reasons of increasing in usages is because it is been applieddue to low expenditure and distributed faster compare to traditional business model. It is a conceptwhere worker must travel to task location to complete the task. With the advancement ofmobile technology and the emergence of Internet of Thing (IoT) catalysts the concept growth rapidly.Spatial crowdsourcing consists of three main elements that play a crucial role in the process whichare requester, system platform, and crowd worker. The incomplete assignment will affect thesystem reliability, reducing the number of requestors.
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