The 1980s and 1990s have seen a growing interest in research and practice in information systems design and development from a human-centered perspective. This interest is accelerated by the increase in organizations in which the human resource provides the means to key competitive advantage. This book is a compilation of contributed chapters by researchers and practitioners addressing the relationships between human activity, organizational issues and technology.
The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.
This introductory user's guide to systems analysis and systems design focuses on building sustainable information systems to meet tomorrow's needs. It shows how practitioners can apply multiple participatory perspectives in development, so as to avoid future problems. As a practical guide, it is presented to be readily comprehensible and is organized to enable users to concentrate on their goals efficiently, and with minimum theoretical elaboration. The chapters follow the sequence involved in planning an information system, explaining key words, the time involved in each step, ending with a tutorial or exercises.
The overall mission of this book is to provide a comprehensive understanding and coverage of the various theories and models used in IS research. Specifically, it aims to focus on the following key objectives: To describe the various theories and models applicable to studying IS/IT management issues. To outline and describe, for each of the various theories and models, independent and dependent constructs, reference discipline/originating area, originating author(s), seminal articles, level of analysis (i.e. firm, individual, industry) and links with other theories. To provide a critical review/meta-analysis of IS/IT management articles that have used a particular theory/model. To discuss how a theory can be used to better understand how information systems can be effectively deployed in today’s digital world. This book contributes to our understanding of a number of theories and models. The theoretical contribution of this book is that it analyzes and synthesizes the relevant literature in order to enhance knowledge of IS theories and models from various perspectives. To cater to the information needs of a diverse spectrum of readers, this book is structured into two volumes, with each volume further broken down into two sections. The first section of Volume 1 presents detailed descriptions of a set of theories centered around the IS lifecycle, including the Success Model, Technology Acceptance Model, User Resistance Theories, and four others. The second section of Volume 1 contains strategic and economic theories, including a Resource-Based View, Theory of Slack Resources, Portfolio Theory, Discrepancy Theory Models, and eleven others. The first section of Volume 2 concerns socio-psychological theories. These include Personal Construct Theory, Psychological Ownership, Transactive Memory, Language-Action Approach, and nine others. The second section of Volume 2 deals with methodological theories, including Critical Realism, Grounded Theory, Narrative Inquiry, Work System Method, and four others. Together, these theories provide a rich tapestry of knowledge around the use of theory in IS research. Since most of these theories are from contributing disciplines, they provide a window into the world of external thought leadership.
Healthcare information systems are crucial to the effective and efficient delivery of healthcare. Healthcare Information Systems: Challenges of the New Millennium reports on the implementation of medical information systems.
Society's growing dependence on information technology for survival has elevated the importance of controlling and evaluating information systems. A sound plan for auditing information systems and the technology that supports them is a necessity for organizations to improve the IS benefits and allow the organization to manage the risks associated with technology.Auditing Information Systems gives a global vision of auditing and control, exposing the major techniques and methods. It provides guidelines for auditing the crucial areas of IT--databases, security, maintenance, quality, and communications.
Healthcare organizations are undergoing major reorganizations and adjustments to meet the increasing demands of improved healthcare access and quality, as well as lowered costs. As the use of information technology to process medical data increases, much of the critical information necessary to meet these challenges is being stored in digital format. Web-enabled information technologies can provide the means for greater access and more effective integration of healthcare information from disparate computer applications and other information resources.Managing Healthcare Information Systems with Web-Enabled Technologies presents studies from leading researchers and practitioners focusing on the current challenges, directions, trends and opportunities associated with healthcare organizations and their strategic use of Web-enabled technologies.
Many factors contribute to the way people view and use information, including task requirements, organizational settings, and personality characteristics. Today it is generally accepted that people are an integral element of an information system. System development methodologies include various kinds of people ? managers, analysts, programmers, support staff ? in the development process. IT could be wasted if various aspects of human behavior were not seriously accommodated. Human Factors in Information Systems addresses pertinent issues by including the most recent research in the discipline, which can be utilized by businesses and organizations when implementing information systems into their policies, procedures and daily tasks.
Case Studies on Information Technology in Higher Education: Implications for Policy and Practice is a collection of cases by researchers and practitioners that investigates examples of integrating IT in higher education, examining both successes and failures in college and university settings.
