Imagine you are developing an idea for new research. You find a mountain of journal articles that seems perfect, but how can we process the vast amount of information, and how can we use it for our own research? Or imagine you need to synthesise 5 studies on “remote work productivity” for your next class on organisation research by tomorrow. In the past, this was a manual grind and involved a great deal of labour. While producing high-quality research remains a rigorous human endeavour, AI-powered literature review apps now allow you to synthesise insights more efficiently by having a conversation directly with the literature. We often talk about the “hype” versus the “real promise” of AI in management and social science. But how do we actually manage this? Today, I want to take you through three research engines that I’ve been exploring and using for quite some time: Elicit.com, Scite.ai, and Consensus. First, we will examine their specific functionalities—including recent advancements in agentic workflows and structured data extraction—to identify the unique purposes and benefits each tool offers to the researcher.
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