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. Here are some recent in-depth videos covering NVivo and literature reviews: NVIVO for Literature Review - 29 February 2020 (1:13:16) Using NVivo for a literature review (Part 1 of 5) (10:27) A popular tutorial entitled Improving Your Literature Review with NVivo 11 for Windows (42:00) was made by Ana Garcia of La Trobe University Library in 2015. 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.

Using nvivo for literature review