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July 2006 (Vol. 49, No. 7)
Services science

Table of Contents

DEPARTMENT: Editorial pointers

Editorial pointers

Diane Crawford
Page 5
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DEPARTMENT: News track

News track

CACM Staff
Pages 9-10
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DEPARTMENT: Forum

Forum

Pages 11-13
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DEPARTMENT: ACM election results

ACM's 2006 general elections

Page 13
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COLUMN: The profession of IT

Infoglut

Overload of cheap information threatens our ability to function in networks; value-recognizing architectures promise significant help.
Peter J. Denning
Pages 15-19
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COLUMN: Technology strategy and management

What road ahead for Microsoft and Windows?

Untangling the snarled history of the frequently delayed Windows operating system.
Michael A. Cusumano
Pages 21-23
Abstract  |  Full Text (HTML)  |  Full Text (PDF)  |  In the Digital Edition  |  In the Digital Library

DEPARTMENT: Hot links

Top 10 downloads from ACM's digital library

Pages 25-26
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COLUMN: Viewpoint

Principles of problem solving

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
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SPECIAL ISSUE: Services science

Introduction

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
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A research manifesto for services science

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
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Understanding service sector innovation

The future of the service economy depends on worldwide appreciation, dedication, and encouragement of innovation as a key component.
Jerry Sheehan
Pages 42-47
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The algorithmic revolution---the fourth service transformation

John Zysman
Page 48
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What academic research tells us about service

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
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Semantics to energize the full services spectrum

Using an ontological approach to better exploit services at the technical and business levels.
Amit Sheth, Kunal Verma, Karthik Gomadam
Pages 55-61
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Resource planning for business services

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
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Enterprise transformation

Fundamental enterprise changes begin by looking at the challenges from technical, behavioral, and social perspectives.
William B. Rouse, Marietta L. Baba
Pages 66-72
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The evolution and discovery of services science in business schools

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
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Germany: computer-aided market engineering

Christof Weinhardt, Dirk Neumann, Carsten Holtmann
Page 79
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Germany: service engineering

Walter Ganz
Page 79
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Service systems, service scientists, SSME, and innovation

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
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The Clarion Call for modern services: China, Japan, Europe, and the U.S.

Stuart I. Feldman, Krishna S. Nathan, Thomas Li, Kazuyoshi Hidaka, Corinna Schulze
Pages 86-87
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Managerial IT unconsciousness

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
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Trust beyond security: an expanded trust model

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
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Trust in videoconferencing

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
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Assisting novice analysts in developing quality conceptual models with UML

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
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COLUMN: Technical opinion

Toy projects considered harmful

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
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COLUMN: Inside risks

Risks relating to system compositions

Peter G. Neumann
Page 120
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