Web-based software-support for collaborative morphological analysis in real-time
Marin Zec and
Florian Matthes
Technological Forecasting and Social Change, 2018, vol. 126, issue C, 168-181
Abstract:
Existing software and procedures for General Morphological Analysis (GMA) are primarily designed for synchronous face-to-face meetings. However, virtual teams and telework are on the rise. Against this background, we analyze current approaches and IT support to identify aspects that need to be reconsidered when GMA is applied in a distributed setting. In cooperation with a German non-profit cultural organization, we have developed browser-based collaborative GMA software that provides multi-user support. This paper presents what we have learned from the development process and the results from two empirical studies on the usability and learnability of the developed software. Based on observations and user feedback from the empirical studies, we conclude that the developed software is a useful IT artefact; more research is needed, however, to investigate the implications of distributed team settings for the application and facilitation of GMA.
Keywords: Virtual teams; Collaboration software; Real-time collaboration; Wicked problems; Problem-structuring method; Collaborative morphological analysis; General morphological analysis (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162517306637
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:126:y:2018:i:c:p:168-181
DOI: 10.1016/j.techfore.2017.05.018
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().