Enterprise transformation projects in the financial industry and ethics (TPFI&E)

Abstract

The last three decades’ global financial, societal and geopolitical crisis can be analysed by using an adapted holistic societal transformation framework. Sucha framework is able to deliver recurrent patterns of organized global financial misdeed models and their related crime schemes. The use of, an ethical approach, governance framework, enterprise architecture models and control services-based processes, are crucial to support such a complex crimes detection-based framework. The proposed framework uses measurable Critical Success Factors (CSF) and Critical Success Areas (CSA) which characterize the evaluation of risk factors related to Global Financial Predators Activities (GFPA), mainly misdeeds. This article presents the concept of a framework, that can be used for proactive detection and tracking of financial problems and misdeeds, which are organized and done by GFPAs. Such GFPAs are in general ranked as the most ethical organizations, because of such ranking organisations are chosen by major financial circles. In this article the author presents an artificial intelligence based decision-making concept that is the framework’s kernel. This generic decision making concept uses a mathematical model, which manages various types of algorithms. A Transformation Project (or simply a Project), depends on, the capacities of the decision-making system, the profile of the Organizational/Societal Transformation Manager (or simply the Manager) and his team who should be supported by a holistic cross-functional framework. Project’s complexity as well as the usage of underlying Decision-Making System (DMS) and enterprise architecture can be evaluated by a tuneable CSF based mathematical model. This framework’s and related research works’ originalities are that it can be used in any stage of the transformation project for the detecttion of any type of GFPA misdeed(s). The main limitation is the ongoing ethical and regulatory bodies that are governed by corrupt organizations and political bodies.