The digital transformation of organizations is making workplace collaboration more and more powerful and work always "observable"; however, the informational and managerial potential of the generated data is still largely unutilized in Human Resource Management (HRM). Our research, conducted in collaboration with business engineers and economists, aims at exploring the relationship between digital work behaviors and employee attitudes. This paper is a work-in-progress contribution that presents a preliminary phase of data analysis we performed on a collection of Enterprise Collaboration Software (ECS) data. In the exploratory data analysis step, we analyze data in their original table format and elaborate it according to the user who performed the action and the performed action. Then, we move to a graph representation in order to make explicit the interaction between users and the objects of their actions. Finally, we introduce the concept of employee-attitude-oriented pattern as a mean to derive significant views over the overall graph and discuss Social Network Analysis (SNA) approaches that can be exploited for our purposes.

Employee attitudes and (Digital) collaboration data: a preliminary analysis in the HRM field / Fabbri, T.; Mandreoli, F.; Martoglia, R.; Scapolan, A. C.. - 2019-(2019), pp. 1-6. ((Intervento presentato al convegno 28th International Conference on Computer Communications and Networks, ICCCN 2019 tenutosi a Valencia, Spain nel 2019.

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