In any Software Development process, and especially in innovation processes, the team responsible for software implementation needs to acquire the necessary knowledge to implement the project and to sustain innovation. However, the implementation team does not always convert innovative ideas into the expected value. The Software Development Process has a complexity that is process-inherent. Soft System Engineering is a response to address this complexity and to support the application of user-driven methods in an open innovation environment. This approach allows the development of a systematic interaction with users to generate new offerings and to improve previous products and services in order to create value and differentiation.
In any Software Development process, and especially in innovation processes, the team responsible for software implementation needs to acquire the necessary knowledge to implement the project and to sustain innovation. However, the implementation team does not always convert innovative ideas into the expected value. The Software Development Process has a complexity that is process-inherent. Soft System Engineering is a response to address this complexity and to support the application of user-driven methods in an open innovation environment. This approach allows the development of a systematic interaction with users to generate new offerings and to improve previous products and services in order to create value and differentiation.
Abstract
Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.
Systems Engineering and Soft Systems Methodology : a Review