@article{SchoettelerLaumerSchuhbauer2023, author = {Sch{\"o}tteler, Sebastian and Laumer, Sven and Schuhbauer, Heidi}, title = {Consequences of Enterprise Social Media Network Positions for Employees}, series = {Business \& Information Systems Engineering}, volume = {65}, journal = {Business \& Information Systems Engineering}, number = {4}, publisher = {Springer Science and Business Media LLC}, issn = {2363-7005}, doi = {10.1007/s12599-023-00803-0}, pages = {425 -- 440}, year = {2023}, abstract = {AbstractEmployees often use enterprise social media (ESM) for communication, collaboration, and knowledge sharing, leading to ESM networks-that is, social networks of interrelated employees based on ESM. Many organizations possess ESM networks, and there is increasing research on their consequences for employees depending on how these employees are positioned in such networks. ESM network research is complex and consists of various interrelated dimensions. However, a synthesis of the abovementioned studies is lacking. Therefore, the current body of knowledge may obfuscate how the different dimensions interrelate, impeding a more holistic understanding of the consequences that employees may experience depending on their network positions. Moreover, there is little understanding of which research topics in this area have been addressed to date and where further research is needed. This paper addresses these gaps by means of a literature review and research agenda that synthesizes past studies. The results emphasize that whether ESM are beneficial for and exert a positive influence on employees largely depends on the employees' positions in the underlying networks.}, language = {en} } @article{SchoettelerMeierGengleretal.2025, author = {Sch{\"o}tteler, Sebastian and Meier, Florian J. and Gengler, Eva and Laumer, Sven}, title = {The Relationship Between Profile Disclosure Breadth and Network Size on Professional Social Media: Gender as a Moderator}, series = {ACM SIGMIS Database: the DATABASE for Advances in Information Systems}, volume = {56}, journal = {ACM SIGMIS Database: the DATABASE for Advances in Information Systems}, number = {1}, publisher = {Association for Computing Machinery (ACM)}, issn = {0095-0033}, doi = {10.1145/3715966.3715972}, pages = {79 -- 100}, year = {2025}, abstract = {Professional social media (PSM) platforms, such as LinkedIn, enable professional networking. Larger network sizes on PSM are associated with benefits similar to those that result from bridging social capital. Disclosing profile information, in general, is related to increased network size. Thus, digital profiles may be useful features for shaping PSM network size. However, how profile disclosure breadth shapes network size and which profile information has the strongest effect on network size is unknown. Lastly, how gender affects the relationship between profile disclosure breadth and network size is unclear. To close these research gaps, this study applied regression analysis to 67,189 LinkedIn profiles to explore the relationship between profile disclosure breadth and network size on PSM moderated by gender. The results demonstrate that higher levels of profile disclosure breadth are associated with increased network size. Moreover, profile picture presence, profile headline length, and the number of skills listed affected network size the most. Women had smaller network sizes than men on average, indicating a gender network gap. Furthermore, while remarkable levels of profile disclosure breadth seem to benefit women more than men in terms of network size, the threshold levels required to manifest this benefit are not often achieved in practice.}, language = {en} }