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Investigating information systems with mixed-methods research

Peng, G.C., Nunes, J.M.B. and Annansingh, F. (2011) Investigating information systems with mixed-methods research. In: Proceedings of the IADIS International Workshop on Information Systems Research Trends, Approaches and Methodologies. IADIS International Workshop on Information Systems Research Trends, Approaches and Methodologies 2011, 20 July 2011, Rome, Italy. .


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Mixed-methods research, which comprises both quantitative and qualitative components, is widely perceived as a means to resolve the inherent limitations of traditional single method designs and is thus expected to yield richer and more holistic findings. Despite such distinctive benefits and continuous advocacy from Information Systems (IS) researchers, the use of mixed-methods approach in the IS field has not been high. This paper discusses some of the key reasons that led to this low application rate of mixed-methods design in the IS field, ranging from misunderstanding the term with multiple-methods research to practical difficulties for design and implementation. Two previous IS studies are used as examples to illustrate the discussion. The paper concludes by recommending that in order to apply mixed-methods design successfully, IS researchers need to plan and consider thoroughly how the quantitative and qualitative components (i.e. from data collection to data analysis to reporting of findings) can be genuinely integrated together and supplement one another, in relation to the predefined research questions and the specific research contexts.

Item Type: Proceedings Paper
Copyright, Publisher and Additional Information: An extended version of this paper has been published as a book chapter in the book entitled "Information Systems Research and Exploring Social Artifacts: Approaches and Methodologies". This book chapter can be purchased from: http://www.igi-global.com/chapter/experiences-applying-mixed-methods-approach/70720
Keywords: Mixed-Methods, Research Design, Information Systems, Quantitative, Qualitative, Triangulation.
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Dr Guo Chao Peng
Date Deposited: 16 Nov 2012 12:12
Last Modified: 07 Jun 2014 01:35
Status: Published
Refereed: Yes
URI: http://eprints.whiterose.ac.uk/id/eprint/74737

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