Structuration Theory in Information Systems Research: Relevance and Rigour from a Pluralist Research Approach

Dale Mackrell, Sue Nielsen

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

This paper reflects on the theoretical aspects of an earlier ontological study. The study was a single case which explored the use of an agricultural decision support system by women cotton growers in the Australian cotton industry and the effect of its use on their farm magement roles on family cotton farms. The study was informed through a multi-paradigmatic conceptual framework with structuration theory as a meta-theory, and diffusion theory and gender relations theory as lower level theories. This pluralistic research approach employed both theory and data triangulation. In this paper, the justification for a multi-paradigmatic framework is discussed as well as the relevance and rigour of the study
Original languageEnglish
Title of host publicationProceedings of the 18th Australasian Conference on Information Systems (ACIS)
EditorsWui-Gee Tan
Place of PublicationAustralia
PublisherAssociation for Information Systems
Publication statusPublished - 2007
Externally publishedYes
Event18th Australasian Conference on Information Systems ACIS2007 - Toowoomba, Toowoomba, Australia
Duration: 4 Dec 20077 Dec 2007

Conference

Conference18th Australasian Conference on Information Systems ACIS2007
Abbreviated titleACIS2007
CountryAustralia
CityToowoomba
Period4/12/077/12/07

Fingerprint

Cotton
Information systems research
Structuration theory
Farm
Industry
Decision support systems
Metatheory
Gender relations
Conceptual framework
Diffusion theory
Triangulation
Justification

Cite this

Mackrell, D., & Nielsen, S. (2007). Structuration Theory in Information Systems Research: Relevance and Rigour from a Pluralist Research Approach. In W-G. Tan (Ed.), Proceedings of the 18th Australasian Conference on Information Systems (ACIS) Australia: Association for Information Systems.
Mackrell, Dale ; Nielsen, Sue. / Structuration Theory in Information Systems Research: Relevance and Rigour from a Pluralist Research Approach. Proceedings of the 18th Australasian Conference on Information Systems (ACIS). editor / Wui-Gee Tan. Australia : Association for Information Systems, 2007.
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Mackrell, D & Nielsen, S 2007, Structuration Theory in Information Systems Research: Relevance and Rigour from a Pluralist Research Approach. in W-G Tan (ed.), Proceedings of the 18th Australasian Conference on Information Systems (ACIS). Association for Information Systems, Australia, 18th Australasian Conference on Information Systems ACIS2007, Toowoomba, Australia, 4/12/07.

Structuration Theory in Information Systems Research: Relevance and Rigour from a Pluralist Research Approach. / Mackrell, Dale; Nielsen, Sue.

Proceedings of the 18th Australasian Conference on Information Systems (ACIS). ed. / Wui-Gee Tan. Australia : Association for Information Systems, 2007.

Research output: A Conference proceeding or a Chapter in BookConference contribution

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AB - This paper reflects on the theoretical aspects of an earlier ontological study. The study was a single case which explored the use of an agricultural decision support system by women cotton growers in the Australian cotton industry and the effect of its use on their farm magement roles on family cotton farms. The study was informed through a multi-paradigmatic conceptual framework with structuration theory as a meta-theory, and diffusion theory and gender relations theory as lower level theories. This pluralistic research approach employed both theory and data triangulation. In this paper, the justification for a multi-paradigmatic framework is discussed as well as the relevance and rigour of the study

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Mackrell D, Nielsen S. Structuration Theory in Information Systems Research: Relevance and Rigour from a Pluralist Research Approach. In Tan W-G, editor, Proceedings of the 18th Australasian Conference on Information Systems (ACIS). Australia: Association for Information Systems. 2007