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The role of literature reviews in academic research has always been significant. Few high-quality publications or theses are published without a proper literature review. However, with an ever-growing research base on almost every subject, conducting a literature review can be a daunting process. Here, we review the process of conducting a literature search for "Procrastination," updating a 2007 meta-analysis conducted by the lead author of this case study. The challenge is keeping the literature review comprehensive and manageable simultaneously while also attending to replicability and transparency. In this case study, we will explain the process of conducting a state-of-the-art systematic review that aims to balance these competing goals through employing one of several new systematic review platforms, in this case, HubMeta. We specifically cover five major stages: i) Identify the Research Question, ii) Choosing the Databases, iii) Reference Management and Deduplication, iv) Title and Abstract Screening, and v) Full-Text Screening. Relying on a systematic platform helps record all choices, ensuring transparency and replicability, while automating some of the steps. With the advent of machine learning, these platforms reduce the work required for screening articles, often by over 50%. We will explain how each step in the systematic literature review was conducted, and how new tools and techniques can help with time saving, transparency, and manageability of large-scale reviews.
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