Journal article
A methodology to develop awareness in computer supported collaborative work using policies
Journal of Computer and System Sciences, Vol.80(7), pp.1323-1338
2014
Abstract
Cooperation is significantly influenced by participants' awareness of relevant information. The objective of this paper is to propose a methodology to design and develop applications that assist individuals to identify their awareness. Through extending Cooperative management Methodology for Enterprise Networks (CoMEN), this article introduces Policy-based Awareness Management (PAM) - a software engineering methodology that proposes the use of existing policy rules as a source to identify awareness. The methodology has been built on the logic of general awareness, and implements Directory Enabled Networks (DEN) policy structure. The contribution of the paper is illustrated through the wireless communication system at a hospital in Norway. We conclude that theory of General Awareness and in particular PAM as an extension of CoMEN, is effective to identify relevant information for agents.
Details
- Title
- A methodology to develop awareness in computer supported collaborative work using policies
- Authors
- Amir Talaei-Khoei (Author) - University of Technology SydneySuchada Vichitvanichphong (Author) - University of the Sunshine Coast - Faculty of Arts and BusinessTerje Solvoll (Author) - University Hospital of North Norway, NorwayPradeep Ray (Author) - University of New South WalesAmir H Ghapanchi (Author) - Griffith University
- Publication details
- Journal of Computer and System Sciences, Vol.80(7), pp.1323-1338
- Publisher
- Academic Press
- Date published
- 2014
- DOI
- 10.1016/j.jcss.2014.03.003
- ISSN
- 0022-0000
- Copyright note
- Copyright © 2014. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
- Organisation Unit
- University of the Sunshine Coast, Queensland; USC Business School - Legacy
- Language
- English
- Record Identifier
- 99450062702621
- Output Type
- Journal article
Metrics
301 File views/ downloads
1329 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Computer Science, Hardware & Architecture
- Computer Science, Theory & Methods