Using Applied Mathematical Models for Business Transformation

Using Applied Mathematical Models for Business Transformation

Antoine Trad (IBISTM, France) and Damir Kalpić (University of Zagreb, Croatia)
Projected Release Date: December, 2019|Copyright: © 2020 |Pages: 540
ISBN13: 9781799810094|ISBN10: 1799810097|EISBN13: 9781799810117|DOI: 10.4018/978-1-7998-1009-4


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.

Topics Covered

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

Table of Contents and List of Contributors

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