The impact of workers’ skills on performance in crowdsourcing environments : an analysis of the experiment on Amazon mechanical turk platform

• Κύριος συγγραφέας: Χαριτάτου, Τζόγια
• Άλλοι συγγραφείς: Τζαγκαράκης, Μανώλης
• Μορφή: Thesis
• Γλώσσα: English
• Έκδοση: 2019
• Θέματα: Crowdsourcing; Mechanical turk; Big five personality traits; Online labor markets; Online behavioral experiments; Cognitive abilities; Πληθοπορισμός; Χαρακτηριστικά προσωπικότητας; Ηλεκτρονικές αγορές εργασίας; Ηλεκτρονικά πειράματα συμπεριφοράς; Γνωστικές ικανότητες; 658.405 8

The term of Crowdsourcing is an act of a collective online activity in which a person, an institution, a nonprofit organization, or a firm proposes to a group of individuals of varying knowledge, heterogeneity and number, the voluntary undertaking of an online task. Companies and individuals assign increasingly outsource activities to a large group of volunteers approached to an open invitation on the internet. A traditional problem that exist is the relatively low performance of labor which companies and individuals received by users. For the purposes of our analysis we used the Amazon Mechanical Turk because it includes workers only from USA and we can easy compare our results. In this dissertation, we aim to examine the performance of the experiment on Amazon Mechanical Turk platform and especially which characteristics of workers, and which skills, (cognitive and non-cognitive skills) affect the performance in a crowdsourcing environment.