Connect Me! Antecedents and Impact of Social Connectedness in Enterprise Social Software
Author:
Abstract
Companies are increasingly adopting social software to support collaboration and networking. Although increasing their employees’ connectedness is a major driver for organizations to deploy enterprise social software (ESS), the social connectedness concept itself is still not sufficiently defined and conceptualized. The study therefore provides a richer perspective on social connectedness’s role in an ESS context. The authors thus investigate (1) social connectedness’s antecedents and (2) its impact on employees’ individual performance. With a survey-based investigation among 174 employees of an international business software provider headquartered in Germany, the authors show that both reputation and a critical mass significantly influence employees’ social connectedness. The authors further find that reputation’s effect is significantly stronger than critical mass’s effect and that social connectedness influences employees’ individual performance positively. The findings are discussed in the light of psychological studies and deduce implications for theory and practice.
- Citation
- BibTeX
Kügler, M., Dittes, S., Smolnik, S. & Richter, A.,
(2015).
Connect Me! Antecedents and Impact of Social Connectedness in Enterprise Social Software.
Business & Information Systems Engineering: Vol. 57, No. 3.
Springer.
(S. 181-196).
DOI: 10.1007/s12599-015-0379-z
@article{mci/Kügler2015,
author = {Kügler, Maurice AND Dittes, Sven AND Smolnik, Stefan AND Richter, Alexander},
title = {Connect Me! Antecedents and Impact of Social Connectedness in Enterprise Social Software},
journal = {Business & Information Systems Engineering},
volume = {57},
number = {3},
year = {2015},
,
pages = { 181-196 } ,
doi = { 10.1007/s12599-015-0379-z }
}
author = {Kügler, Maurice AND Dittes, Sven AND Smolnik, Stefan AND Richter, Alexander},
title = {Connect Me! Antecedents and Impact of Social Connectedness in Enterprise Social Software},
journal = {Business & Information Systems Engineering},
volume = {57},
number = {3},
year = {2015},
,
pages = { 181-196 } ,
doi = { 10.1007/s12599-015-0379-z }
}
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ISSN: 1867-0202
xmlui.MetaDataDisplay.field.date: 2015
Content Type: Text/Journal Article