Encyclopedia of Information Systems and Technology: Two-Volume Set

Information technology is too broad for any single handbook to treat as a straight-line course. This two-volume encyclopedia takes a reference-first approach, gathering entries across the systems, standards, infrastructure, security, and applications that shape the field. Edited by Phillip A. Laplante, it gives readers a place to begin when a term is unfamiliar—or when they need to understand how one area of IT connects with another.

A wide-angle reference to information systems and technology

The set ranges across subjects including artificial intelligence, big data, cloud computing, data analytics, information security, enterprise architecture, mobile systems, software development, and healthcare informatics. It also includes entries on standards and organizations, from AES and IPv6 to ITIL and the World Wide Web Consortium. That breadth makes the encyclopedia useful for looking up a specific concept while keeping the larger technology landscape in view.

Two volumes, arranged for reference

The contents move alphabetically across the set. Volume I begins with Ad Hoc Networks and proceeds through Fuzzy Set Theory; Volume II continues with subjects including geographic information systems, wireless networks, and XML. This organization makes it practical to consult the work by topic rather than read it from cover to cover.

Connections across the IT landscape

Many entries touch on fields that overlap in professional practice: data and analytics, networks and infrastructure, information management, security, and the design and operation of systems. Read together, these topics help frame technology not as isolated terminology, but as a collection of related disciplines and concerns.

For study, research, and professional lookup

The encyclopedia is suited to students building familiarity with IT vocabulary, researchers locating background on a subject, and practitioners who need a broad reference point across disciplines. Its range is its defining feature: a substantial survey for readers who work, study, or explore across the many branches of information systems and technology.