Enterprise social networking (ESN) techniques have been widely adopted by firms to provide a platform for public communication among employees. This study investigates how the relationships between stressors (i.e., challenge and hindrance stressors) and employee innovation are moderated by task-oriented and relationship-oriented ESN use. Since challenge-hindrance stressors and employee innovati...

With more companies using Enterprise Social Networks (ESN) for employee communication and collaboration, the influence of ESN on organizational hierarchies has been subject of discussions in science and practice. Conversely, the question if formal hierarchies affect interaction inside ESN and outside (i.e., personal interaction or interaction via traditional media) in the same way has not yet b...

This paper use echo state network (ESN), feedforward echo state network (FE-ESN) and tapped delay line with inputs (TDL-I) to predict the sea clutter time series and detect target embedded in sea clutter. The performance of predicting and detecting using these methods is compared. A set of time series from IPIX radar data is tested. Numerical experiments reveal that FE-ESN and TDL-I show high p...

HIV-specific T cells response and T cell activation are frequently seen in exposed seronegative individuals (ESN). In this study, we report HIV-specific response and level of T cell activation in ESN partners of HIV-infected patients presenting low or undetectable levels of HIV-RNA. We evaluated 24 HIV-serodiscordant couples. ESN were classified into three categories of exposure to HIV (very lo...

The adoption of enterprise social network (ESN) for greater employee engagement and knowledge sharing practices within organisations is proliferating. However, ESN investments have thus far not resulted in expected gains in organisational benefits due to underutilisation by employees. Limited understanding of the implications of ESN use leads to a paucity of recommendations for effective use wi...

Echo State Network (ESN) is a special type of recurrent neural network with fixed random recurrent part (reservoir) and a trainable reservoir-to-output readout mapping (typically obtained by linear regression). In this work we utilise an ensemble of ESNs with diverse reservoirs whose collective read-out is obtained through Negative Correlation Learning (NCL) of ensemble of Multi-Layer Perceptro...

Recent studies have emphasized the potential of Enterprise Social Networks (ESN) for companies. However, so far, researchers have paid little attention to usages and affordances of ESN. To investigate this research issue, we anchor our analysis on Leonardi’s Affordances Theory. A case study has been conducted in a large French company, where we conducted thirty-five interviews with users of an ...

Whereas the use of Enterprise Social Networks (ESN) is a pervasive topic in research and practice, both parties are still struggling to come to a better understanding of the role and impact of ESN in and on knowledge-intensive corporate work. As a part of this phenomenon, employees who communicate their knowledge in ESN helping other users to do their daily work play a decisive role. We need to...