This conceptual article advances a theory of Social-Enterprise Systems-Engineering (SESE) as an applied discipline and as an addition to the development intervention field.
Systems applications include enterprise process redesign, systems engineering, software reuse and development, litigation support, electronic commerce, system integration and simulation.
Based on relevant litterature interoperability issues, this paper describes the new approach, which relies on the association of effective existing technologies coupled with research results on the fields of model-driven engineering (MDE), enterprise interoperability, system engineering and PLM.
Its core research areas include secure systems, systems engineering, enterprise management and nanotechnology.
The papers are centered around topics like information systems engineering, enterprise information systems, business process management, knowledge representation, ontology engineering, systems security, information systems applications, database systems, machine learning, big data analysis, big data processing, cognitive computing.
Requirements Engineering for Enterprise Systems: What We Know and What We Don't Know?
We carried out a literature review of enterprise systems models, cognitive and social-tech engineering and innovation management.
In order to meet these requirements, many enterprises face a critical need for advanced system engineering for Engineering.
These factors open up exciting research vistas for process systems engineering research, ranging from enterprise-level analysis to process modeling and design.
The proposed complex enterprise systems framework combines knowledge coming from complex systems science and systems engineering domains, and uses computational intelligence and agent-based systems simulation methodologies.
