To provide software platforms that are highly adjustable to users’ needs, recent literature proposes
generativity, that is, platforms that may be supplemented in order to provide functionality that the
designers of the platform did not have in mind. The research stream on generative platforms features a
similar phenomenon as the research stream on shadow IT (SIT), because SIT also investigates
supplements to integrated software-based systems that the designers of the software initially did not
have in mind. Especially the domain of business intelligence (BI) is often flooded with SIT such as
additional data marts and spreadsheets. However, while a wide body of literature has emerged that
investigates SIT impacts, few, if any, studies examined generativity of platforms in general and BI
platforms specifically. In this paper we present a literature review on positive and negative SIT
impacts. Building on the results, we suggest a research agenda on generativity of BI platforms.
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