A systematic literature review on current developments of low code-no code solutions in the IT sector

The growing scarcity of skilled software developers has prompted organizations to turn to low-code/no-code (LCNC) platforms, which allow non-technical users to develop applications without requiring extensive knowledge of coding. LCNC platforms use AI and ML to automate the development process, thereby encouraging innovation and collaboration between IT and business teams. These platforms offer a plethora of benefits-including reduced times for development with drawbacks like vendor lock-in, higher security risks, and less competence in dealing with complex applications. Such research investigates business process changes facilitated by LCNC platforms in pursuit of filling knowledge gaps regarding the way they support improving organizational performance and leading innovation. A systematic review of the existing literature shows both developing trends and obstacles in the adaptation of LCNC platforms in the IT sector. 

According to findings, these platforms incorporate the entire process of software development, which makes collaboration better and highly decreases the project timelines for organizations, providing them with a window opportunity to enhance efficiency and innovation in their operations. However, organizations need to address governance, security concerns, and scalability issues for the optimal integration of LCNC. Some practical recommendations are to set up a Center of Excellence (CoE), hybrid development approaches, and workforce training programs. This research enriches both academic and practical knowledge of LCNC technologies, enabling IT professionals and organizations to lead digital transformation and maintain competitive advantage in a dynamic market environment.