DEPARTMENT: Editorial pointers
DEPARTMENT: News track
DEPARTMENT: ACM election results
COLUMN: The profession of IT
Overload of cheap information threatens our ability to function in networks; value-recognizing architectures promise significant help.
COLUMN: Technology strategy and management
Untangling the snarled history of the frequently delayed Windows operating system.
DEPARTMENT: Hot links
Changed paradigms of human thought are needed to adapt modes of computer problem solving and truth to evolving computational technology.
SPECIAL ISSUE: Services science
This special section on services science is intended to broaden and challenge traditional thinking about services and service innovation. To the majority of computer scientists, whether in academia or industry, the term "services" …
The services sector has grown over the last 50 years to dominate economic activity in most advanced industrial economies, yet scientific understanding of modern services is rudimentary. Here, we argue for a services science discipline …
The future of the service economy depends on worldwide appreciation, dedication, and encouragement of innovation as a key component.
A computing-driven revolution is under way in the global economy guided by the principle that every business must become a service business in order to survive.
Using an ontological approach to better exploit services at the technical and business levels.
Over the past several decades mathematical models of supply chains have been developed and used for resource planning. Significant gains in supply chain efficiency have been attributed to the use of such models, together with …
Fundamental enterprise changes begin by looking at the challenges from technical, behavioral, and social perspectives.
The pioneering efforts of Arizona State University illustrate what can be accomplished when universities worldwide address the need to create comprehensive interdisciplinary curricula for services science.
Computer scientists work with formal models of algorithms and computation, and someday service scientists may work with formal models of service systems. The four examples here document some of the early efforts to establish …
A poorly designed, carelessly implemented, irresponsibly managed system can lead to company failure, along with IT failure.
Developing an improved trust model and related metrics for distributed computer-based systems that will be useful immediately and resilient to changing technology.
People associate poor eye contact with deception. This perception may have hurt large-scale adoption of videoconferencing technology.
Knowing the kinds of modeling errors they are most likely to produce helps prepare novice analysts for developing quality conceptual models.
COLUMN: Technical opinion
It is valuable to improve upon the sample code we provide to students. But the deeper challenge is to create a context in which student programming matters.
COLUMN: Inside risks