Abstract
Organizations must constantly evolve and adapt to meet customer demands in an ever-changing business environment. The most notable differences have been in the way fintech companies use agile practices to speed up software development and their time to market for new products. This has impacted the way how large financial institutions operate. Large Scale Agile Development (LSAD) is popular, and many studies are being conducted in that domain. However, there is a need to understand the research landscape and the level of theorization on all the studies that where conducted, so that future research opportunities and needs can be identified in this domain. This study aims to synthesize and analyze the research trends and provide a synopsis on the levels of theorization in LSAD research while at the same time also recommending areas for future research in the field of LSAD in the financial sector. Using a systematic literature review protocol, we identified 39 primary studies that focused on LSAD in the financial services sector between 2015 and 2020. The studies were limited to English language only and were sourced from the Google Scholar, IEEE Xplore and ScienceDirect electronic databases. Of all papers reviewed, 14 produced Analysis theories, 9 produced Explanation theories, 3 produced Explanation & Prediction theories, and 7 produced Design & Action theories. Interestingly, none produced Prediction theories. 6 of the papers were systematic literature reviews. The findings indicate that LSAD research in the financial sector has not yet matured in the explanation & prediction theories, especially in the prediction-type theories. This provides an avenue for future research to provide the building blocks for theory development. The focus of future studies should be on building a predictive theory around LSAD Teams in the financial Sector.