Dynamic analysis of the association between network structures and the performance of knowledge workers using information technologies

• Applicant: Professor Dr. Detlef Georg Gerhard Schoder
• Subject Area: Accounting and Finance
• Term: from 2012 to 2016
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 228366250

Scholars and practitioners alike are convinced that an actor's embeddedness in a social network within an organization influences his or her performance. However, the results of studies that examine this relationship are conflicting. Consequently, there are only a few tools available that can support managers' decision making according to social networks in organizations. The main goal of this project is to equip decision makers with a tool set for an effective management of social networks within organizations in order to enhance productivity. To achieve this goal, the conflicting study results have to be clarified. Particularly, some of the conflicting results might be attributed to the method of data collection and the neglect of temporal effects. We aim to avoid some of the shortcomings of conventional data collection methods (e.g. social desirability bias, memory effects or the Hawthorn effect) by employing modern information technologies. Furthermore, we consider temporal effects by employing recently developed statistical methods for model tests that allow for causality statements when using longitudinal network data. Using these methods we also consider the mutual dependence of social network and performance of the embedded actors. The results gained will be prepared as a Decision Support System, so that in the future it will be possible to effectively manage social networks within organizations.

• DFG Programme: Research Grants