A Framework for Qualitative Analysis of Focus Group Data in Information Systems

Focus groups are a popular qualitative research method for information systems researchers. However, compared with the abundance of research articles and handbooks on planning and conducting focus groups, surprisingly, there is little research on how to analyse focus group data. Moreover, those few...

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Bibliographic Details
Main Authors: Nili, Alireza (Author), Tate, Mary (Author), Johnstone, David (Author), Gable, Guy (Author)
Format: Others
Published: ACIS, 2014-12-04T01:20:01Z.
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Online Access:Get fulltext
LEADER 01666 am a22001933u 4500
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042 |a dc 
100 1 0 |a Nili, Alireza  |e author 
700 1 0 |a Tate, Mary  |e author 
700 1 0 |a Johnstone, David  |e author 
700 1 0 |a Gable, Guy  |e author 
245 0 0 |a A Framework for Qualitative Analysis of Focus Group Data in Information Systems 
260 |b ACIS,   |c 2014-12-04T01:20:01Z. 
500 |a Proceedings of the 25th Australasian Conference on Information Systems, 8th - 10th December, Auckland, New Zealand 
500 |a 978-1-927184-26-4 
520 |a Focus groups are a popular qualitative research method for information systems researchers. However, compared with the abundance of research articles and handbooks on planning and conducting focus groups, surprisingly, there is little research on how to analyse focus group data. Moreover, those few articles that specifically address focus group analysis are all in fields other than information systems, and offer little specific guidance for information systems researchers. Further, even the studies that exist in other fields do not provide a systematic and integrated procedure to analyse both focus group 'content' and 'interaction' data. As the focus group is a valuable method to answer the research questions of many IS studies (in the business, government and society contexts), we believe that more attention should be paid to this method in the IS research. This paper offers a systematic and integrated procedure for qualitative focus group data analysis in information systems research. 
540 |a OpenAccess 
655 7 |a Conference Contribution 
856 |z Get fulltext  |u http://hdl.handle.net/10292/8063