A Holistic Applied Mathematical Model for Business Transformation: The Holistic Intelligent Cities Design Concept (HICDC)

A Holistic Applied Mathematical Model for Business Transformation: The Holistic Intelligent Cities Design Concept (HICDC)

Copyright: © 2020 |Pages: 42
DOI: 10.4018/978-1-7998-1009-4.ch009
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The HMM for intelligent cities transformation projects (iCTP) (or simply projects) uses a natural language development (and simulation) environment that can be adopted by any project and for that goal the authors propose to use the holistic intelligent cities design concept (HICDC). The HICDC is supported by a central decision-making system (DMS) and enterprise architecture (sub)projects (EAP). The proof of concept (PoC) is based on the resources collected on the city of Beirut, capital of Lebanon, where the central point is the transformation process of a war-torn city into a modern, agile (relatively, in respect to the region), civilized, and automated intelligent city. Such projects are managed by intelligent city transformation managers (iCTM).
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To include an iCTP and its holistic/distributed urban architecture subproject(s) in a city and a region like the Beirut metropolitan region, with evolution prospects to become a (relatively) smart city with an urbanized business and financial strategic planning process that will be needed to be thoroughly prepared to meet the current and future needs. A priority for this intelligent reorganization makes Beirut city and region ready to integrate the local, regional and global smart economies and smart cities in a sustainable and multicultural way (Trad, 2018e). Such an integration needs national-cultural, civic, financial engineering related urban planning, domotics (DOMus infOrmaTICS), risk mitigation and legal conforming basis and are even fundamental for its long-term strategy, multi-culture and business longevity. Actually, and probably because of the religious (ethnical), financial and political regional crisis, iCTP’s financial related risk and legal standards cannot be implemented easily. The presented facts can damage the urban transformation project and its urban architecture subprojects and that may disable the traditional urban environments to become a part of a more global one and to compete with the networked global exchange. An important factor in frequent urban transformation projects’ changes and iterations are the roles of the iCTP, politicians, factional leaders, finance analysts and urban architects, who should be supported by the optimal urban transformation framework that should include a global urban strategy model. This strategy model should be also capable of supporting the urban environment’s executive/government leaders, legal control and integration in a complex block-chained globalized world. To achieve this urban, cultural, financial and logistics integration strategy, Critical Success Areas (CSA) and CSFs must be used to evaluate possible pitfalls and risks, to audit, assert, govern, automate, trace, monitor and control the iCTP’s budget and status. The iCTP and its urban architecture subproject CSFs can be configured to manage the complexities in asynchronous event flows from local and international environments. Transformed urban environments’ strategy model must have support of a built-in automated controls capable of recognizing major changes and events.

Key Terms in this Chapter

DMS: Decision-making system.

ICT: Information and communication technologies.

EA: Enterprise architecture.

HKMS: Holistic knowledge-management system.

RQ: Research question.

CSA: Critical success area.

ML: Mathematical language.

MM: Mathematical model.

SOA: Service-oriented architecture.

TKM&F: Trad Kalpic methodology and framework.

EAP: Enterprise architecture projects.

ADM: Architecture development method.

Projects: Business transformation projects.

TOGAF: The Open Group’s architecture framework.

XML: eXtensible mark-up language.

iCTM: Business transformation manager.

NLP: Natural language programming.

HICDC: Holistic intelligent cities design concept.

KM: Knowledge management.

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