The combined conceptual life cycle model of information quality in user perceptions of IQ on the web
dc.contributor.author | Knight, Shirlee-ann | |
dc.date.accessioned | 2017-01-30T12:11:43Z | |
dc.date.available | 2017-01-30T12:11:43Z | |
dc.date.created | 2015-10-29T04:09:37Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Knight, S. 2011. The combined conceptual life cycle model of information quality in user perceptions of IQ on the web, in Koronios, A. and Gao, J. (ed), Proceedings of the 16th International Conference on Information Quality (ICIQ-11), Nov 18-20 2011, pp. 570-590. Adelaide: University of South Australia. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/19067 | |
dc.description.abstract |
Presented is the Combined Conceptual Life Cycle (CCLC) Model of Information Quality (IQ). The CCLC conceptualises information/data quality as being a highly relative construct, best understood in terms of sixteen IQ dimensions housed within four broad IQ categories: namely; Intrinsic IQ, Representational IQ, Interactional IQ, and Contextual IQ. The four categories themselves are seen as falling into two information life cycle contexts: that of (1) data/information generation and (2) data/information use. By conceptualising user perceptions of IQ in terms of the information life cycle, the model is able to demonstrate where in the information life cycle users are most likely to engage specific perceptions of IQ, and predict the relative impact those perception might have on the user"s general perception of IQ. In this way, the model begins to illustrate how users perceptions are able to legitimately vary depending on individual differences between users and information contexts. | |
dc.title | The combined conceptual life cycle model of information quality in user perceptions of IQ on the web | |
dc.type | Conference Paper | |
dcterms.source.startPage | 570 | |
dcterms.source.endPage | 590 | |
dcterms.source.title | ICIQ 2011 - Proceedings of the 16th International Conference on Information Quality | |
dcterms.source.series | ICIQ 2011 - Proceedings of the 16th International Conference on Information Quality | |
curtin.department | School of Information Systems | |
curtin.accessStatus | Fulltext not available |