What is RQ

In this chapter, the authors present an applied holistic mathematical model for business transformation (AHMM)-specific implementation for supporting an intelligent strategic decision making system (iSDMS) that is based on the management and evaluation of critical success factors (CSF). The AHMM-based iSDMS is based on a unique mixed research method that is supported by a mainly the author's qualitative research module, where the main goal is to insure long-term strategic business competitive advantage. An adapted AHMM for iSDMSs uses a natural programming language (NLP) environment and CSFs to model iSDMS. The iSDMS is based on a central reasoning engine and a distributed enterprise architecture project's (EAP) paradigm. This chapter's experiment is based on a proof of concept (PoC), which presents a concrete transformation decision making case, where the central point is the transformation of an information system. Such an iSDMS is managed by an iSDMS transformation manager(s) (iSDMSTM); it uses a methodology and a framework that can support and estimate the risks of implementation of an iSDMS and then uses it to solve problems. The iSDMSTM is responsible for the implementation of the complex iSDMSs, where during its implementation phase, the chosen transformation framework supports the iSDMSTM in a just-in-time manner. The “I” or “i” prefix does not stand just for the vulgare urban and siloed business and technical environments but for a distributed and holistic approach to transform complex business and technical systems.