We sought to determine how people worked in practice, how management saw they worked and examine ‘gaps’ between these two ‘views’. In order to see potential differences, we examined workflow management through interviews with managers and a questionnaire with employees. The results were analysed through Petri Nets in a simplified form. The second unit of analysis was examining relationships between employees and therefore their knowledge flows using Social Network Analysis to illustrate work patterns staff had with one another. Through overlaying the two we gained some understanding of matches and mismatches. The study took place in three IT units of one organisation – an Australian university. The outcomes of our study comprise potential recommendations for improving work efficacy, such as re-organising work practices, or potentially changing who works with whom.
Kim, E. D., & Busch, P. (2016). Workflow interpretation via social networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9806 LNCS, pp. 241–250). Springer Verlag. https://doi.org/10.1007/978-3-319-42706-5_18