A Typology of Collaboration Platform Users
Anastasia Bezzubtseva, Dmitry I. Ignatov

TL;DR
This paper reviews existing user typologies for Internet services, focusing on social networking and crowdsourcing, and introduces a new typology for collaboration platforms based on data analysis of user activities.
Contribution
It develops a novel user typology for collaboration innovation platforms using FCA and cluster analysis, highlighting user behavior patterns and group distributions.
Findings
Six user groups identified with distinct activity profiles
User groups follow the '90-9-1' participation rule
Over 500 participants analyzed for activity-based segmentation
Abstract
In this paper we present a review of the existing typologies of Internet service users. We zoom in on social networking services including blogs and crowdsourcing websites. Based on the results of the analysis of the considered typologies obtained by means of FCA we developed a new user typology of a certain class of Internet services, namely a collaboration innovation platform. Cluster analysis of data extracted from the collaboration platform Witology was used to divide more than 500 participants into six groups based on three activity indicators: idea generation, commenting, and evaluation (assigning marks) The obtained groups and their percentages appear to follow the "90 - 9 - 1" rule.
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Taxonomy
TopicsDigital Marketing and Social Media · Knowledge Management and Sharing · Technology Adoption and User Behaviour
