Modeling analytics as knowledge work: Computing meets organizational psychology

This paper reports on an ongoing interdisciplinary study of analytic workflow, describing our preliminary understanding and findings as well as some directions for further investigation and validation. Specifically, we exploit knowledge from organizational psychology to develop a computational organizational model. Our proposed organizational model provides a framework to understand the impact of organizational level variables and worker characteristics on workflow performance, providing a view to create justifiable interventions to improve performance. To evaluate the viability of the model, we develop a multiagent simulation framework and design an experimental study.