Automated Enterprise Systems for Maximizing Business Performance

Automated Enterprise Systems for Maximizing Business Performance

Petraq Papajorgji (Canadian Institute of Technology, Albania), François Pinet (National Research Institute of Science and Technology for Environment and Agriculture, France), Alaine Margarete Guimarães (State University of Ponta Grossa, Brazil) and Jason Papathanasiou (University of Macedonia, Greece)
Release Date: September, 2015|Copyright: © 2016 |Pages: 312
ISBN13: 9781466688414|ISBN10: 1466688416|EISBN13: 9781466688421|DOI: 10.4018/978-1-4666-8841-4

Description

The integration of recent technological advances into modern business processes has allowed for greater efficiency and productivity. However, while such improvements are immensely beneficial, the modeling and coordination of these activities offers a unique set of challenges that must be addressed.

Automated Enterprise Systems for Maximizing Business Performance is a pivotal reference source for the latest scholarly research on the modeling and application of automated business systems. Featuring extensive coverage on a variety of topics relating to the design, implementation, and current developments of such systems, this book is an essential reference source for information system practitioners, business managers, and advanced-level students seeking the latest research on achievements in this field.

This publication features timely, research-based chapters within the context of business systems including, but not limited to, enterprise security, mobile technology, and techniques for the development of system models.

Topics Covered

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

  • Android Technology
  • Artificial Intelligence
  • Data Mining Techniques
  • Healthcare Industry Applications
  • Integrated Management Systems
  • Simulation Techniques
  • Spatial Data Warehouses

Reviews and Testimonials

Contributors mostly from computer science and electrical engineering, but also from information science and various business fields, explore a number of issues around automated enterprise systems designed to maximize business performance. Their topics include using a sensor data warehouse to analyze soil moisture, a case study of benefits and barriers of electronic sourcing and electronic purchasing in the healthcare sector, and more.

– ProtoView Book Abstracts (formerly Book News, Inc.)

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Petraq Papajorgji is a professor and dean of engineering at the Canadian Institute of Technology, Albania. His field of reseach is modelling of complex information system. He is author of a number of books in modelling and has a number of publications in his research area.
François Pinet (http://www.irstea.fr/pinet) received his M.Sc. in Computer Science in 1997 (ENS Lyon) and his PhD in Computer Science in 2002 (INSA Lyon). He is currently a research director at the French Institute for Agricultural and Environmental Engineering (Irstea—Clermont-Ferrand). His field of research is in data warehouse, environmental information systems and geomatics. He is member of several scientific committees of different international conferences and journals in the fields of geomatics. Dr. Pinet has coauthored over 100 papers (Geoinformatica, IJGIS, Sigmod Record, Environmental Modelling & Software, ER, ACM GIS, ISSDQ, etc.) and has been involved in numerous national and international IT projects. He has been a co-organizer for several conferences and workshops on information systems. In France, he also teaches graduate courses (M.Sc and PhD degrees) on computer science and GIS (Blaise Pascal University). Petraq Papajorgji and François Pinet are the editors-in-chief of the International Journal of Agricultural and Environmental Information Systems.
Alaine Margarete Guimarães is a professor in the Computer Sciences Department and serves the State University of Ponta Grossa – Brazil as Director of Research. Dr Alaine teaches classes and guides students in Computer Engineering undergraduate and in Applied Computation graduate degrees. Dr. Alaine has experience in Computer Science with emphasis in Computational Intelligence, acting on the following subjects: agricultural data mining, intelligent systems and information technology applied to agriculture. Current research focuses on agricultural data mining. Dr Alaine is International Editorial Review Board member of International Journal of Agricultural and Environmental Information Systems (IJAEIS) and a Affiliated member of Brazillian society of Computer Science in Agriculture.
Jason Papathanasiou is a full time lecturer at the department of Marketing and Operations Management, University of Macedonia, Greece. He holds a Ph.D. in Operational Research and Informatics and a degree in Physics, both from the Aristotle University of Thessaloniki. He has worked for a number of years as an adjunct lecturer at the Technical Institute of Technology in Thessaloniki and on the Universities of Macedonia and Western Macedonia teaching courses like Computer Applications Programming, Web Programming and Operational Research. He has organized and participated in a number of international scientific conferences and workshops and has published papers in international scientific peer referred journals like the Journal of Environmental Management, Regional Studies, Environmental Monitoring and Assessment, the Journal of Policy Modeling and the European Journal of Operational Research. He has also participated as a researcher and as a member of the coordination team in many national and international research projects.