@inproceedings{6d8eeb4ce2e84b59b44a68501273c1d9,
title = "Developing the network awareness construct: evidence supporting the ability to understand social situations",
abstract = "We report on an experiment designed to test the relationship between a new construct - network awareness - and performance behavior measured as the ability to understand social network dynamics during novel social situations. The experiment used short video vignettes of varying social complexity as stimuli, and results suggest that the combination of self-monitoring and network awareness traits interact to predict performance. Further, participants scoring high in network awareness also demonstrated more certainty in their evaluations of novel social situations, as expected. Although extant research has demonstrated a correlation between self-reported network awareness and perceived outcomes, this is the first study to demonstrate behavioral outcomes in an experimental setting. Results also offer additional discriminant and convergent validity to the network awareness construct, and are discussed in terms of expansive online computer-mediated social networks and strategic behavior in groups.",
author = "Stefanone, {Michael A.} and Alaina Iacobucci and Elena Svetieva",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 49th Annual Hawaii International Conference on System Sciences, HICSS 2016 ; Conference date: 05-01-2016 Through 08-01-2016",
year = "2016",
month = mar,
day = "7",
doi = "10.1109/HICSS.2016.256",
language = "English",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "IEEE Computer Society",
pages = "2028--2037",
editor = "Sprague, {Ralph H.} and Bui, {Tung X.}",
booktitle = "Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016",
address = "United States",
}