Abstract
One of the difficulties of conducting applied qualitative research on the applications of emerging technologies is finding available sources of relevant data for analysis. Because the adoption of emerging technologies is, by definition, new in many organisations, there is often a lack of experienced practitioners who have relevant background and are willing to provide useful information for the study. Therefore, it is necessary to design research approaches that can generate accessible and relevant data. This chapter begins with a description of action learning and its application to the training of e-facilitators. It will also explain the differences between action learning and action research. The chapter will then describe two case studies in which the researchers used an action learning approach to study the nature of e-facilitation for face-to-face and for distributed electronic meetings. Finally, the chapter describes some lessons learned for both practitioners and researchers.
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Yoong, P., Pauleen, D., Gallupe, B. (2007). Generating Data for Research on Emerging Technologies. In: Kock, N. (eds) Information Systems Action Research. Integrated Series in Information Systems, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36060-7_11
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DOI: https://doi.org/10.1007/978-0-387-36060-7_11
Publisher Name: Springer, Boston, MA
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