Findings - This article offers step-by-step instructions for installing RQDA, and using this software for data coding, aggregation, plotting, and theory building. Using samples of customer-generated e-complaints and e-praises in the electronics/computer sector, this article demonstrates the development of a process model of customer e-complaint rhetoric. It provides a technical and methodological review of RQDA, along with its main strengths and weaknesses, in relation two popular CAQDAS tools, ATLAS.ti and NVivo.
Design/methodology/approach - This article highlights the constructivist approach as an important paradigm in qualitative research and demonstrates how it can be operationalized and enhanced using RQDA. This article addresses this gap by marrying the constructivist methodology and RQDA, a relatively new open-source computer assisted qualitative data analysis (CAQDAS)-based R extension and demonstrate how the software can increase the rigor, transparency, and validity of qualitative research. Purpose - Qualitative research suffers from “contestation” and a lack of “boilerplate” problems to assessing and presenting qualitative data, which has hampered its development and the broader acceptance of qualitative research. We provide systematic guidelines for novice IS researchers seeking to conduct a robust literature review. By viewing the literature review process as a qualitative study and treating the literature as the " data set ", we address the complex puzzle of how best to extract relevant literature and justify its scope, relevance, and quality. We contribute to the literature by proposing a four-phased tool-supported methodology that serves as best practice in conducting literature reviews in IS. We discuss the means, value, and also pitfalls of applying tool-supported literature review approaches. We present a detailed case study as an illustrative example of the proposed approach put into practice. In this paper, we describe how to organize and prepare papers for analysis and provide detailed guidelines for actually coding and analyzing papers, including detailed illustrative strategies to effectively write up and present the results.
Qualitative data-analysis tools such as NVivo are immensely useful as a means to analyze, synthesize, and write up literature reviews.
We highlight the untapped opportunities in using an end-to-end tool-supported literature review methodology. We overview work that has demonstrated the potential for using software tools in literature reviews. Hence, a structured and efficient approach is essential. It is important for researchers to efficiently conduct quality literature studies.
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