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CIO
CIO magazine, launched in 1987, provides business technology leaders with award-winning analysis and insight on information technology trends and a keen understanding of IT’s role in achieving business goals.
Social Order in Multiagent Systems
Social Order in Multiagent Systems provides an overview of current approaches, problems, and considerations related to the study of norms and institutions in the context of multiagent systems. The contributions in this volume share the assumption that norms and other social institutions are of vital importance for the development of multiagent systems and agent-mediated interaction. Both formal and computational models of norms and normative systems are presented, including formal analysis of normative concepts and foundational models of norms; agent and systems architectures for implementing norms; and implemented systems. Social Order in Multiagent Systems is an excellent reference for researchers in artificial intelligence and computer science, and can be used as text for advanced level courses in multiagent systems.
Internet Process Coordination
Papers collected here, from a December 2001 workshop held at the University of Central Florida, examine topics related to process coordination and ubiquitous computing. Papers on coordination models discuss areas such as space-based coordination and open distributed systems, global virtual data stru
Organizing Business Knowledge
A systematic and powerful method for organizing and accessing business knowledge.
Artificial Intelligence in Design ’00
Designing is one of the foundations for change in our society. It is a fundamental precursor to manufacturing, fabrication and construction. Design research aims to develop an understanding of designing and to produce models of designing that can be used to aid designing. The papers in this volume are from the Sixth International Conference on Artificial Intelligence in Design (AID'00) held in June 2000, in Worcester, Massachusetts, USA. They represent the state of the art and the cutting edge of research and development in this field, and demonstrate both the depth and breadth of the artificial intelligence paradigm in design. They point the way for the development of advanced computer-based tools to aid designers, and describe advances in both theory and application. This volume will be of particular interest to researchers, developers, and users of advanced computer systems in design.
Learning Innovation and the Future of Higher Education
Ultimately, the authors make a compelling case not only for this turn to learning but for creating new pathways for nonfaculty learning careers, understanding the limits of professional organizations and social media, and the need to establish this new interdisciplinary field of learning innovation.
Create a Brand That Inspires
It takes strength to compete. Becoming a well-known and well-regarded brand enhances a companys strength. Internal brandingespecially in service industriesis essential for longevity, great competitive strength, and high financial value. Driven by a shared, authentic corporate culture and guided by top management, employees will build brand value in all their actions and interactions every day. Create a Brand That Inspires: How to Sell, Organize, and Sustain Internal Branding effectively addresses three core brand management challenges in readers organizations: selling the brand to senior management, organizing the brand on all management levels, and living the brand within each of the companys internal communities. The book includes sixteen international case studies complete with pictures, interviews and examples from a wide range of industries. The long-term, hands-on experience of the co-authors and their unique perspectives on how to successfully develop and manage internal branding make this study a rewarding read for executives, managers and team leaders.
Economics, Information Systems, and Electronic Commerce: Empirical Research
The methods and thinking of economics permeate a large part of the IS discipline. Reciprocally, newly emerging research methods relying on the IT-enabled treatment of massive data aggregates feed economic research. As new and radical forms of IT innovation continue to energize electronic commerce, IS researchers face a daunting task in using existing empirical methods and tools to understand the threats, opportunities, risks, and rewards of these new techniques. This groundbreaking volume leads the way. It introduces new methodological approaches to data analysis as well as new techniques for collecting and cataloging transactional data. The ideas it presents have broad appeal and demonstrate what is possible when new techniques and new ways of thinking are brought to bear on complex research problems.
The Transformation Myth
In this business bestseller, how companies can adapt in an era of continuous disruption: a guide to responding to such acute crises as COVID-19. Gold Medalist in Business Disruption/Reinvention. When COVID-19 hit, businesses had to respond almost instantaneously--shifting employees to remote work, repairing broken supply chains, keeping pace with dramatically fluctuating customer demand. They were forced to adapt to a confluence of multiple disruptions inextricably linked to a longer-term, ongoing digital disruption. This book shows that companies that use disruption as an opportunity for innovation emerge from it stronger. Companies that merely attempt to "weather the storm" until things go...
Game Theory for Data Science
Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards. We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading.
