Using text analytics to discover business scaling research gaps.

The study is part of open project called SERS (Scale Early, Rapidly and Securely), comprising a community of researchers and practitioners committed to generate research insights about scaling companies. A list of 43 scaling assertions was created based on the scarce literature on scaling. The assertions were formulated in a way that could provide actionable insights for companies interested to scale early and rapidly. 33 students assigned one assertion each and asked to identify a corpus of min 30 research articles associated with it. Each of the 33 corpora of articles became a basis for the identification of 83 research gaps in the form of brief textual paragraphs. The corpus of textual paragraphs was subjected to topic modeling analysis to identify emerging research issues and structure them under major themes that could help shaping of appropriate calls for papers in the TIM Review (https://timreview.ca/). Two calls for paper were shaped. One of them resulted in the publication of a special issue. [ABSTRACT FROM AUTHOR]