DEPARTMENT: Editorial pointers
Diane Crawford
Page 5
DEPARTMENT: News track
CACM Staff
Pages 9-10
DEPARTMENT: Forum
Pages 11-13
DEPARTMENT: ACM election results
Page 13
COLUMN: The profession of IT
Overload of cheap information threatens our ability to function in networks; value-recognizing architectures promise significant help.
Peter J. Denning
Pages 15-19
COLUMN: Technology strategy and management
Untangling the snarled history of the frequently delayed Windows operating system.
Michael A. Cusumano
Pages 21-23
DEPARTMENT: Hot links
Pages 25-26
COLUMN: Viewpoint
Changed paradigms of human thought are needed to adapt modes of computer problem solving and truth to evolving computational technology.
Peter Wegner, Dina Goldin
Pages 27-29
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" …
Jim Spohrer, Doug Riecken
Pages 30-32
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 …
Henry Chesbrough, Jim Spohrer
Pages 35-40
The future of the service economy depends on worldwide appreciation, dedication, and encouragement of innovation as a key component.
Jerry Sheehan
Pages 42-47
John Zysman
Page 48
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.
Roland T. Rust, Carol Miu
Pages 49-54
Using an ontological approach to better exploit services at the technical and business levels.
Amit Sheth, Kunal Verma, Karthik Gomadam
Pages 55-61
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 …
Brenda Dietrich
Pages 62-64
Fundamental enterprise changes begin by looking at the challenges from technical, behavioral, and social perspectives.
William B. Rouse, Marietta L. Baba
Pages 66-72
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.
Mary Jo Bitner, Stephen W. Brown
Pages 73-78
Walter Ganz
Page 79
Christof Weinhardt, Dirk Neumann, Carsten Holtmann
Page 79
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 …
Paul P. Maglio, Savitha Srinivasan, Jeffrey T. Kreulen, Jim Spohrer
Pages 81-85
Stuart I. Feldman, Krishna S. Nathan, Thomas Li, Kazuyoshi Hidaka, Corinna Schulze
Pages 86-87
A poorly designed, carelessly implemented, irresponsibly managed system can lead to company failure, along with IT failure.
David Avison, Shirley Gregor, David Wilson
Pages 88-93
Developing an improved trust model and related metrics for distributed computer-based systems that will be useful immediately and resilient to changing technology.
Lance J. Hoffman, Kim Lawson-Jenkins, Jeremy Blum
Pages 94-101
People associate poor eye contact with deception. This perception may have hurt large-scale adoption of videoconferencing technology.
Ernst Bekkering, J.P. Shim
Pages 103-107
Knowing the kinds of modeling errors they are most likely to produce helps prepare novice analysts for developing quality conceptual models.
Narasimha Bolloju, Felix S.K. Leung
Pages 108-112
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.
Fred Martin
Pages 113-116
COLUMN: Inside risks
Peter G. Neumann
Page 120