I am happy to do research. I like to dive in to the research papers and read them all. However, it is not possible to do so in reasonable time. I use MaxQDA to autocode the papers but most of the time the autocode is out of the context and in the end of the day I prefer to read the full paper, rather then autocode. Then I highlight the main ideas properly, to keep the quality of the project. I would like to ask you (as better professionals) how to process such a quantum of research papers more automatically or more efficiently without quality drop - in reasonable time (1-2 weeks). Best practices are welcome.
I do not think that qualitative data analysis software has reaching the level where you can use it for auto-coding (but if you have access to NVivo, you might look at its "trainable" version of auto-coding).
So, instead, I would suggest that you prioritize your literature searching by beginning with articles that are both relatively recent and high cited. That will lead you to prior publications ("landmark articles) which are central to your field, so that you can do further citation searching from there. Personally, I prefer the Web of Science to Google Scholar for this kind of work because it allows for much more specific options in your searches.
It is not easy to manage 900 articles for literature review. My experience is that you need to consider refining (narrow down) your review objectives. Also, I agree with David L Morgan , you can device inclusion/exclusion criteria, which can help you exclude irrelevant articles, as well as those with low quality.
As suggested by Prof Morgan using WOS one can know key issues : understanding the literature. But actually it depends on your research objectives. If you would like to know only abstract/keyword of literature you have collected go for Bibliometric analysis using Histcite, Vosviewer and Gephi. One can understand the intellectual foundations of the literature.
Plz refer may be helpful to you.
Research The Intellectual Foundation of Supply Chain Management Perfo...
Regards,
I've got a simular problem in the research of the 'Digital Twin Concept' with the focus on production, supplying and logistics. At first I read the abstract and than I look into the references: if I didn't find the main genuine sources and authors in this research field (e.g. M. Grieves and John Vickars) then I skip this article, paper etc. But this is my kind of approach only ...
I agree with Stefan Seuring suggestions. Regarding 900 papers, do you want to conduct content analysis or bibliometric analysis? For the content analysis, it is a very time-consuming job. It is almost impossible to analyse hundreds of papers by the structured literature review process. You’d better to carefully select papers according to a certain number of criteria. If you do bibliometric analysis, 900 papers seem not enough. Several tools, such as Pajek®, VOSviewer®, or Gephi®, have been developed for visualizing the bibliometric networks.
Rudolf Husovič the most practical way seems to be "systematic review" and using the PRISMA diagram to eliminate the unnecessary papers by different filters it suggests. After this process, you may have a maximum of 150 papers to review. You can then organize them into a table based on year, author, and different concepts of your research. After this, you can also gain some statistical figures. In analyzing the papers you can, of course, use qualitative data analysis software such as NVivo of MAXQDA as suggested by Prof Seuring. However, it is not always necessary to use software and you can simply write your report by investigating each research concept.
Derar Mrs. Ganji , could you explain what you mean with PRISMA Diagramm ?
Thanx in advance
Dear Rudolf,
I ran into this situation a few years back, so I know exactly how you're feeling. If you're conducting a "systematic literature review" and you're sure that you have to start with a sample of 900 papers, then there's no easy way to do that, unfortunately. You'd have come up with consistent inclusion/exclusion criteria in order to select only those papers that can really contribute with your research. Some Brazilian researchers from the Federal University of Sao Carlos (UFSCar) developed a free software called "Start - State of Art through Systematic Review" that help make things way easier and faster. There are some tutorials on YouTube explaing how to use it, so you can check it out its capabilities. For some unknown reason it's not online at the moment, but hopefully I kept the Installer in my computer. Feel free to personal message so I can send you a copy of it.
Kind regards,
Alexandre
I would use an article quality filter. For example: considering only articles that are in Journals that have JCR.
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