Using Applied Mathematical Models for Business Transformation

Using Applied Mathematical Models for Business Transformation

Indexed In: SCOPUS
Release Date: December, 2019|Copyright: © 2020 |Pages: 543
DOI: 10.4018/978-1-7998-1009-4
ISBN13: 9781799810094|ISBN10: 1799810097|EISBN13: 9781799810117
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Description & Coverage
Description:

Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe.

Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Applied Mathematics
  • Critical Success Factors
  • Decision-Making Systems
  • Financial Analysis
  • Global Enterprise Architecture
  • Global Security
  • Knowledge Management
  • Resource Management Systems
  • Risk Assertion
  • Software Modelling
Reviews & Statements

Transformation projects are vital for achieving sustainable business values; at the same time, various types of transformation projects have very high failure rates, because of their complexity and the lack of a holistic polymathic approach or methodology. Added to that there are many redundant methodologies and technologies, which adds to the general confusion and the set of complexities. The proposed polymathic Applied Holistic Mathematical model (AHMM) supports complex transformation projects, by giving them the possibility to evaluate their statuses, and integrity, and solve their major problems.

– Prof. Antoine Trad, IBISTM, France
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Editor/Author Biographies

Antoine Trad holds a PhD in computer sciences degree. He is a professor and a researcher at IBISTM in Switzerland and France. His research field's title is: “The Selection, Architecture, Decision Making, Controlling and Training Framework (STF) for Managers in Business Innovation and Transformation Projects”; where he published more than 60 articles on the subject. This research project works on inspecting enterprise architecture solutions in business transformation projects; parallel to that work as a consultant in enterprise architecture projects.

Damir Kalpić is retired professor emeritus of computer science at the University of Zagreb Faculty of electrical engineering and computing, Croatia. He was teaching Programming, Information systems, Algorithms and data structures and Operational research at graduate and postgraduate level. He was advising at student seminars, projects, graduation and PhD theses. His main professional interest is in application of operational research in real world information systems, and in other projects and applications with humans as direct users. He served as vice dean of the Faculty, he was the head of the Department of applied computing and chairman of the Information Technology Interfaces international conferences. He can communicate, with descending fluency in English, German, Italian, Spanish, French and Portuguese.

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