Jornal da Academia Internacional de Estudos de Caso

1532-5822

Abstrato

Five Approaches Toward Presenting Qualitative Findings

Aidin Salamzadeh

Presenting the findings of a qualitative research project is a significant issue as it could affect the quality of a manuscript to a great extent. Reay et al. (2019) concentrated on this critical issue and tried to shed light on how the authors of the published manuscripts in the Academy of Management Journal presented their research outputs. Their study elaborated five major approaches of those researchers. This editorial invites authors to follow these approaches in presenting their qualitative findings. The first one is called Gioia approach in which theoretical coding structure is used to organize text. The chart illustrates coding information, and the data tables are organized by coding structure. Finally, the snippets of text are provided in this approach. Interviews and archival data are used as primary data sources. The second approach is Vignettes approach. In this approach, short stories are derived from data organize text. Moreover, tables use vignettes to illustrate aspects of the studied phenomenon. Usually, ethnographic data are the primary data sources in this approach. The third approach is called Temporal Phases. In this approach, the text is organized to present a story that unfolds over time. Also, the process model illustrates temporal aspects of the phenomenon in question. Data tables are organized temporally in this method. Moreover, interviews, archival data, as well as ethnographic data are used. Long Data Excerpts is the fourth approach. Conversational exchanges structure texts are shown by large text segments throughout the manuscript. Researchers use interviews and ethnographic data accordingly. Last but not least is the fifth, i.e. the Anthropological approach in which overall research context is emphasized in the text. This approach provides a comprehensive understanding of the phenomena of interest. Ethnographic data are primary data sources in this approach.

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