This book constitutes the refereed proceedings of the 19th International Conference on Advanced Information Systems Engineering, CAiSE 2007, held in Trondheim, Norway in June 2007. It covers ontologies, extended enterprises, information integration, service-oriented architecture, strategic alignment, requirements, process modeling, method engineering, novel applications, participative modeling, and process-aware information systems.
Describes a method of negotiation that isolates problems, focuses on interests, creates new options, and uses objective criteria to help two parties reach an agreement.
Making Projects Critical is an edited collection contributed by a range of international scholars linking the area of project management with critical management perspectives. Challenging recent debates on inherent problems in project management, the text considers project management within a wider organizational and societal context.
First published in 1998, this volume examines how super-optimum decisions involve finding alternatives to controversies whereby Conservatives, Liberals, or other major groups can all come out ahead of their best initial expectations simultaneously. This book is organised in terms of concepts, methods, causes, process, substance, and the policy studies profession. Concepts clarify that policy evaluation traditionally involves: (1) Goals to be achieved; (2) Alternatives available for achieving them; (3) Relations between goals and alternatives; (4) Drawing a conclusion as to the best alternative in light of the goals, alternatives, and relations; and (5) Analysing how the conclusion would change if there were changes in the goals, alternatives, or relations. Super-optimizing also involves five related steps, but with the following improvements: (1) Goals are designed as conservative, liberal, or neutral; (2) Alternatives get the same designations; (3) Relations are simplified to indicate which alternatives are relatively high or low on each goal; (4) The conclusion involves arriving at an alternative that does better on Goal A than Alternative A, and simultaneously better on Goal B than Alternative B; and (5) The fifth step involves analysing the super-optimum or win-win alternative in terms of its feasibility as to the economic, technological, psychological, political, administrative, and legal matters.
This book examines how organizations can, and should, transform their practices to compete in a world economy. Research results from a multi-disciplinary team of MIT researchers, along with the experiences and insights of a select group of industry practitioners, are integrated into a model that stresses the need for systemic and transformative rather than piecemeal or incremental changes in organization practices and public policy. This integration of research and experience results in an argument for a new organizational learning model--one capable of gaining advantage from employee diversity, cooperation across organizational boundaries, strategic restructuring, and advanced technology. The book begins with a foreword by Lester C. Thurow.
"This entirely updated and enlarged Second Edition of a landmark reference/text continues to provide comprehensive coverage of every important aspect of policy studies--discussing concepts, methods, utilization, formation, and implementation both internationally and across each level of government."
This handbook deals with many aspects of public policy evaluation: including methods; examples; professionalism studies; perspectives; concepts; substance; theory applications; dispute resolution; interdisciplinary interaction.
Computational Models of Mixed-Initiative Interaction brings together research that spans several disciplines related to artificial intelligence, including natural language processing, information retrieval, machine learning, planning, and computer-aided instruction, to account for the role that mixed initiative plays in the design of intelligent systems. The ten contributions address the single issue of how control of an interaction should be managed when abilities needed to solve a problem are distributed among collaborating agents. Managing control of an interaction among humans and computers to gather and assemble knowledge and expertise is a major challenge that must be met to develop machines that effectively collaborate with humans. This is the first collection to specifically address this issue.
