Identification of Enterprise Social Network (ESN) Group Archetypes in ESN Analytics

Australasian Journal of Information Systems

Cai Kjaer¹  Laurence Lock Lee²  Kai Riemer³  Annika Haeffner⁴ 

[1] SWOOP Analytics Ptd Ltd;SWOOP Analytics Pty Ltd;The University of Sydney;Ulm University;

关键词: Enterprise Social Network;    ESN groups;    ESN Analytics;    Social Media Analytics;   

DOI  :  10.3127/ajis.v24i0.2355

来源: DOAJ

【 摘 要 】

With the proliferation of Enterprise Social Networks (ESN), the measurement of ESN activity becomes increasingly relevant. The emerging field of ESN analytics aims to develop metrics and models to measure and classify user activity to support organisational goals and outcomes. In this paper we focus on a neglected area of ESN analytics, the classification of activity in ESN groups. We engage in explorative research to identify a set of metrics that divides an ESN group sample into distinct types. We collaborate with Sydney-based service provider SWOOP Analytics who provided access to actual ESN meta data describing activity in 350 groups across three organisations. By employing clustering techniques, we derive a set of four group types: broadcast streams, information forums, communities of practice and project teams. We collect and reflect on feedback from ESN champions in fourteen organisations. For ESN analytics research we contribute a set of metrics and group types. For practice we envision a method that enables group managers to compare aspirations for their groups to embody a certain group type, with actual activity patterns.

【 授权许可】

Unknown