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Collaborative Decision Making
This publication presents the latest innovations and achievements of academic communities on Decision Support Systems (DSS). These advances include theory systems, computer-aided methods, algorithms, techniques and applications related to supporting decision making. The aim is to develop approaches for applying information systems technology to increase the effectiveness of decision making in situations where the computer system can support and enhance human judgements in the performance of tasks that have elements which cannot be specified in advance. Also it is intended to improve ways of synthesizing and applying relevant work from resource disciplines to practical implementation of syste...
Research Methods for Students, Academics and Professionals
Research is such an important subject for information professionals that there will always be a need for effective guides to it. Research skills are a prerequisite for those who want to work successfully in information environments, an essential set of tools which enable information workers to become information professionals. This book focuses on producing critical consumers of research. It also goes some way towards producing researchers in the fields of information management and systems.The first edition of this book was enthusiastically received by researchers, students and information professionals in Australia and beyond. Reviews of the first edition considered it a "a worthwhile addi...
Bridging the Socio-technical Gap in Decision Support Systems
Presents the advances in decision support theory and practice with a focus on bridging the socio-technical gap. This book covers a wide range of topics including: Understanding DM, Design of DSS, Web 2.0 Systems in Decision Support, Business Intelligence and Data Warehousing, Applications of Multi-Criteria Decision Analysis, and more.
Handbook of Service Science, Volume II
The second volume of this successful handbook represents varied perspectives on the fast-expanding field of Service Science. The novel work collected in these chapters is drawn from both new researchers who have grown-up with Service Science, as well as established researchers who are adapting their frames for the modern service context. The first Handbook of Service Science marked the emergence of Service Science when disciplinary studies of business-to-customer service systems intertwined to meet the needs of a new era of business-to-business and global service ecosystems. Today, the evolving discipline of Service Science involves advanced technologies, such as smartphones, cloud, social p...
DSS 2.0 - Supporting Decision Making With New Technologies
Advances in technology have resulted in new and advanced methods to support decision-making. For example, artificial intelligence has enabled people to make better decisions hrough the use of Intelligent Decision Support Systems (DSS). Emerging research in DSS demonstrates that decision makers can operate in a more timely manner using real-time data, more accurately due to data mining and 'big data' methods, more strategically by considering a greater number of factors, more precisely and inclusively due to the availability of social networking data, and with a wider media reach with video and audio technology._x000D_ _x000D_This book presents the proceedings of the IFIP TC8/Working Group 8....
Elgar Encyclopedia of Law and Data Science
This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.
Themelios, Volume 49, Issue 2
Themelios is an international, evangelical, peer-reviewed theological journal that expounds and defends the historic Christian faith. Themelios is published three times a year online at The Gospel Coalition (http://thegospelcoalition.org/themelios/) and in print by Wipf and Stock. Its primary audience is theological students and pastors, though scholars read it as well. Themelios began in 1975 and was operated by RTSF/UCCF in the UK, and it became a digital journal operated by The Gospel Coalition in 2008. The editorial team draws participants from across the globe as editors, essayists, and reviewers. General Editor: Brian Tabb, Bethlehem College and Seminary Contributing Editor: D. A. Cars...
The Information Systems Academic Discipline in Australia
This book represents the second phase of a multi-method, multi-study of the 'Information Systems Academic Discipline in Australia'. Drawing on Whitley's Theory of Scientific Change, the study analysed the degree of 'professionalisation' of the Information Systems Discipline, the overarching research question being 'To what extent is Information Systems a distinct and mature discipline in Australia?' The book chapters are structured around three main sections: a) the context of the study; b) the state case studies; and c) Australia-wide evidence and analysis. The book is crafted to be accessible to IS and non-IS types both within and outside of Australia. It represents a 'check point'; a snap...
Handbook on Decision Support Systems 1
Decision support systems have experienced a marked increase in attention and importance over the past 25 years. The aim of this book is to survey the decision support system (DSS) field – covering both developed territory and emergent frontiers. It will give the reader a clear understanding of fundamental DSS concepts, methods, technologies, trends, and issues. It will serve as a basic reference work for DSS research, practice, and instruction. To achieve these goals, the book has been designed according to a ten-part structure, divided in two volumes with chapters authored by well-known, well-versed scholars and practitioners from the DSS community.
Data Quality and High-dimensional Data Analysis
Poor data quality is known to compromise the credibility and efficiency of commercial and public endeavours. Also, the importance of managing data quality has increased manifold as the diversity of sources, formats and volume of data grows. This volume targets the data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish.
