Individual trust development in computer mediated teamwork
conference contributionposted on 2019-04-09, 10:08 authored by Xusen Cheng, Linda Macaulay, Alex Zarifis
Facilitated group collaboration is evolving into a new generation in Web 2.0 using new technology such as online group systems. Building trust is vital to group collaboration. Risk, benefit, utility value, power and interest are six factors that influence individual trust development. This paper further develops the Scale Balance Model based on the Individual Trust Development Model in order to investigate individual trust development in facilitated group collaboration. There is a two stage investigation using a survey from face-to-face student groups with Web based group system support. The model is used to analyse the individual trust development in the sample. The results of applying the improved model can help give feedback and advice for future collaboration research. Copyright 200 ACM.
- Business and Economics
Published inConference on Hypertext and Hypermedia - Proceedings of the Hypertext 2008 Workshop on Collaboration and Collective Intelligence 2008, WebScience'08
Pages1 - 5
CitationCHENG, X., MACAULAY, L. and ZARIFIS, A., 2008. Individual trust development in computer mediated teamwork. IN: Proceedings of the Hypertext 2008 Workshop on Collaboration and Collective Intelligence 2008, (WebScience'08), Pittsburgh, PA, USA, June 19 - 21, pp. 1 - 5.
Publisher© Association for Computing Machinery (ACM)
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Notes© ACM 2009. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the Hypertext 2008 Workshop on Collaboration and Collective Intelligence 2008, (WebScience'08, https://doi.org/10.1145/1379157.1379159