A new form of distributed labor, namely, crowdsourcing is used to solve the real-world business challenges in different fields of services by using people crowds. Crowdsourcing gathers and generates concepts by adopting principles of distributed computing, open networks, and parallel processing. However, currently, there are limited formal methods or guidelines to analyze and develop crowdsourcing services. As a result, there is no clear understanding of different characteristics of various crowdsourcing services. The aim of this paper is to extract the critical factors as guidelines for successful crowdsourcing service development. In this paper, eight crowdsourcing services are analyzed using Repertory Grid, in order to identify the critical characteristics of the crowdsourcing services. In this study, 25 personal constructs are developed as key factors related to the successfulness of the crowdsourcing services. The services and constructs are analyzed with the aid of three correlation measures (e.g., Pearson, Spearman, and Kendal measures). We observe constructs with highly positive correlations and constructs with highly negative correlations with the 'successfulness' construct. As concluding remarks, we discuss the analysis results and future research directions.
