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Developing Organisational Stories Through Grounded Theory Data Analysis: A Case Example for Studying IS Phenomena

Developing Organisational Stories Through Grounded Theory Data Analysis: A Case Example for Studying IS Phenomena

Elayne Coakes, Anthony Elliman
Copyright: © 2011 |Volume: 3 |Issue: 2 |Pages: 16
ISSN: 1941-6253|EISSN: 1941-6261|EISBN13: 9781613509142|DOI: 10.4018/jskd.2011040103
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MLA

Coakes, Elayne, and Anthony Elliman. "Developing Organisational Stories Through Grounded Theory Data Analysis: A Case Example for Studying IS Phenomena." IJSKD vol.3, no.2 2011: pp.26-41. http://doi.org/10.4018/jskd.2011040103

APA

Coakes, E. & Elliman, A. (2011). Developing Organisational Stories Through Grounded Theory Data Analysis: A Case Example for Studying IS Phenomena. International Journal of Sociotechnology and Knowledge Development (IJSKD), 3(2), 26-41. http://doi.org/10.4018/jskd.2011040103

Chicago

Coakes, Elayne, and Anthony Elliman. "Developing Organisational Stories Through Grounded Theory Data Analysis: A Case Example for Studying IS Phenomena," International Journal of Sociotechnology and Knowledge Development (IJSKD) 3, no.2: 26-41. http://doi.org/10.4018/jskd.2011040103

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Abstract

This article provides a concrete example of a technique or tool that may improve intensive case research and understanding, especially when considering explanatory case study research. It is argued that researchers must work hard and be creative to provide robust methodological tools so that their work is accepted in the Information Systems field (in particular), as it is traditionally skeptical about qualitative studies. This paper argues that story-telling grounded in the data through the use of the Grounded Theory methodology and its associated methods provide a way of identifying the causal conditions in any case where the underlying dynamics for any type of organisational change are unknown. Although this research and method of presentation is relevant to the IS field, it has applications in any social science research where it is necessary to present the causal conditions for the phenomena under study.

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