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, an experimental approach to improving business processes through data mining techniques, common threads through integrated management systems and information management systems, and applying information security in business to maximize security and protect confidential and private data. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)
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.
