Decision Support Systems Viii Sustainable Data Driven And Evidence Based Decision Support

Author : Fatima Dargam,Pavlos Delias,Isabelle Linden,Bertrand Mareschal
Publisher : Springer
Page : 200 pages
File Size : 48,9 Mb
Release : 2018-05-15
Category : Computers
ISBN : 9783319903156

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Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support by Fatima Dargam,Pavlos Delias,Isabelle Linden,Bertrand Mareschal Pdf

This book constitutes the proceedings of the 4th International Conference on Decision Support Systems, ICDSST 2018, held in Heraklion, Greece, in May 2018. The main topic of this year’s conference was “Sustainable Data-Driven and Evidence Based Decision Support”. The 15 papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections named: decision support systems for a sustainable society; decision support systems serving the public; decision support systems in management and organization; and advances in decision support systems’ technologies and methods. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST), starting with ICDSST 2015 in Belgrade, were planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.

Author : Gregory E. Kersten,Zbigniew Mikolajuk,Anthony Gar-On Yeh
Publisher : Springer Science & Business Media
Page : 423 pages
File Size : 49,6 Mb
Release : 2007-05-08
Category : Business & Economics
ISBN : 9780306475429

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Decision Support Systems for Sustainable Development by Gregory E. Kersten,Zbigniew Mikolajuk,Anthony Gar-On Yeh Pdf

In recent years, much work has been done in formulating and clarifying the concept of sustainable development and related theoretical and research issues. Now, the challenge has shifted to designing and stimulating processes of effective planning and decision-making, at all levels of human activity, in such a way as to achieve local and global sustainable development. Information technology can help a great deal in achieving sustainable development by providing well-designed and useful tools for decision makers. One such tool is the decision support system, or DSS. This book explores the area of DSS in the context of sustainable development. As DSS is a very new technique, especially in the developing world, this book will serve as a reference text, primarily for managers, government officials, and information professionals in developing countries. It covers the concept of sustainable development, defines DSS and how it can be used in the planning and management of sustainable development, and examines the state of the art in DSS use. Other interested readers will include students, teachers, and analysts in information sciences; DSS designers, developers, and implementors; and international development agencies.

Author : Ana Paula Cabral Seixas Costa,Jason Papathanasiou,Uchitha Jayawickrama,Daouda Kamissoko
Publisher : Springer Nature
Page : 214 pages
File Size : 51,8 Mb
Release : 2022-05-12
Category : Computers
ISBN : 9783031065309

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Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs by Ana Paula Cabral Seixas Costa,Jason Papathanasiou,Uchitha Jayawickrama,Daouda Kamissoko Pdf

This book constitutes the proceedings of the 8th International Conference on Decision Support Systems Technologies, ICDSST 2022, held during May 23-25, 2022. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery. The 15 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections as follows: decision support addressing modern industry; decision support addressing business and societal needs, and multiple criteria approaches.

Author : Jason Papathanasiou,Pascale Zaraté,Jorge Freire de Sousa
Publisher : Springer Nature
Page : 416 pages
File Size : 40,6 Mb
Release : 2021-08-09
Category : Computers
ISBN : 9783030703776

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EURO Working Group on DSS by Jason Papathanasiou,Pascale Zaraté,Jorge Freire de Sousa Pdf

This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed. As it attempts to find a consensus about the next steps for the future of DSS research, the book also enforces the trends and new technologies currently in use. The book examines topics such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluation and analysis through social networks, and e-learning and its application to real environments. It clearly presents the evidence to support their cases and attempts to promote an extensive and objective discussion. In addition, the book also reflects on approaches to dead-end ideas and failures in DSS to better understand the lessons learned. The contributions for this book have been written by thought leaders and influential researchers from the EURO Working Group of Decision Support Systems (EWG-DSS).

Author : Vincenzo Naddeo,Malini Balakrishnan,Kwang-Ho Choo
Publisher : Springer Nature
Page : 528 pages
File Size : 43,8 Mb
Release : 2019-09-18
Category : Technology & Engineering
ISBN : 9783030130688

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Frontiers in Water-Energy-Nexus—Nature-Based Solutions, Advanced Technologies and Best Practices for Environmental Sustainability by Vincenzo Naddeo,Malini Balakrishnan,Kwang-Ho Choo Pdf

This volume includes selected contributions presented during the 2nd edition of the international conference on WaterEnergyNEXUS which was held in Salerno, Italy in November 2018. This conference was organized by the Sanitary Environmental Engineering Division (SEED) of the University of Salerno (Italy) in cooperation with Advanced Institute of Water Industry at Kyungpook National University (Korea) and with The Energy and Resources Institute, TERI (India). The initiative received the patronage of UNESCO – World Water Association Programme (WWAP) and of the International Water Association (IWA) and was organized with the support of Springer (MENA Publishing Program), Arab Water Council (AWC), Korean Society of Environmental Engineering (KSEE) and Italian Society of Sanitary Environmental Engineering Professors (GITISA). With the support of international experts invited as plenary and keynote speakers, the conference aimed to give a platform for Euro-Mediterranean countries to share and discuss key topics on such water-energy issues through the presentation of nature-based solutions, advanced technologies and best practices for a more sustainable environment. This volume gives a general and brief overview on current research focusing on emerging Water-Energy-Nexus issues and challenges and its potential applications to a variety of environmental problems that are impacting the Euro-Mediterranean zone and surrounding regions. A selection of novel and alternative solutions applied worldwide are included. The volume contains over about one hundred carefully refereed contributions from 44 countries worldwide selected for the conference. Topics covered include (1) Nexus framework and governance, (2) Environmental solutions for the sustainable development of the water sector, (3) future clean energy technologies and systems under water constraints, (4) environmental engineering and management, (5) Implementation and best practices Intended for researchers in environmental engineering, environmental science, chemistry, and civil engineering. This volume is also an invaluable guide for industry professionals working in both water and energy sectors.

Author : Panagiota Digkoglou,George Tsaples,Fatima Dargam,Isabelle Linden,Bertrand Mareschal
Publisher : EWG-DSS
Page : 374 pages
File Size : 55,6 Mb
Release : 2018-05-22
Category : Business & Economics
ISBN : 8210379456XXX

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Proceedings of the 4th International Conference on Decision Support System Technology – ICDSST 2018 & PROMETHEE DAYS 2018 by Panagiota Digkoglou,George Tsaples,Fatima Dargam,Isabelle Linden,Bertrand Mareschal Pdf

Author : Frédéric Adam,Dorota Kuchta,Stanisław Stanek
Publisher : CRC Press
Page : 245 pages
File Size : 45,6 Mb
Release : 2022-05-30
Category : Business & Economics
ISBN : 9781000543100

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Rational Decisions in Organisations by Frédéric Adam,Dorota Kuchta,Stanisław Stanek Pdf

Managers in organisations must make rational decisions. Rational decision making is the opposite of intuitive decision making. It is a strict procedure utilising objective knowledge and logic. It involves identifying the problem to solve, gathering facts, identifying options and outcomes, analysing them, considering all the relationships and selecting the decision. Rational decision making requires support: methods and software tools. The identification of the problem to solve needs methods that would measure and evaluate the current situation. Identification and evaluation of options and analysis of the available possibilities involves analysis and optimisation methods. Incorporating intuition into rational decision making needs adequate methods that would translate ideas or observed behaviours into hard data. Communication, observation and opinions recording is hardly possible today without adequate software. Information and data that form the input, intermediate variables and the output must be stored, managed and made accessible in a user-friendly manner. Rational Decisions in Organisations: Theoretical and Practical Aspects presents selected recent developments in the support of the widely understood rational decision making in organisations, illustrated through case studies. The book shows not only the variety of perspectives involved in decision making, but also the variety of domains where rational decision support systems are needed. The case studies present decision making by medical doctors, students and managers of various universities, IT project teams, construction companies, banks and small and large manufacturing companies. Covering the richness of relationships in which the decisions should and must be taken, the book illustrates how modern organisations operate in chains and networks; they have multiple responsibilities, including social, legal, business and ethical duties. Nowadays, managers in organisations can make transparent decisions and consider a multitude of stakeholders and their diverse features, incorporating diverse criteria, using multiple types and drivers of information and decision-making patterns, and referring to numerous lessons learned. As the book makes clear, the marriage of theoretical ideas with the possibilities offered by technology can make the decisions in organisations more rational and, at the same time, more human.

Author : Anand J. Kulkarni,Suresh Chandra Satapathy
Publisher : Springer Nature
Page : 202 pages
File Size : 50,6 Mb
Release : 2019-11-29
Category : Technology & Engineering
ISBN : 9789811509940

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Optimization in Machine Learning and Applications by Anand J. Kulkarni,Suresh Chandra Satapathy Pdf

This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.

Author : Paulo Sérgio Abreu Freitas,Fátima Dargam,Rita Ribeiro,José Maria Moreno Jimenez,Jason Papathanasiou
Publisher : EWG-DSS
Page : 265 pages
File Size : 46,8 Mb
Release : 2019-05-27
Category : Business & Economics
ISBN : 9789898805447

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Proceedings of the 5th International Conference on Decision Support System Technology – ICDSST 2019 & EURO Mini Conference 2019 by Paulo Sérgio Abreu Freitas,Fátima Dargam,Rita Ribeiro,José Maria Moreno Jimenez,Jason Papathanasiou Pdf

Author : Isabelle Linden,Alberto Turón,Fatima Dargam,Uchita Jayawickrama
Publisher : EWG-DSS
Page : 262 pages
File Size : 40,6 Mb
Release : 2021-05-27
Category : Business & Economics
ISBN : 9788418321009

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Proceedings of the 6th International Conference on Decision Support System Technology – ICDSST 2020 on Cognitive Decision Support Systems & Technologies by Isabelle Linden,Alberto Turón,Fatima Dargam,Uchita Jayawickrama Pdf

Author : Robert H. Bonczek,Clyde W. Holsapple,Andrew B. Whinston
Publisher : Academic Press
Page : 412 pages
File Size : 51,8 Mb
Release : 2014-05-10
Category : Business & Economics
ISBN : 9781483268729

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Foundations of Decision Support Systems by Robert H. Bonczek,Clyde W. Holsapple,Andrew B. Whinston Pdf

Foundations of Decision Support Systems focuses on the frameworks, strategies, and techniques involved in decision support systems (DSS). The publication first takes a look at information processing, decision making, and decision support; frameworks for organizational information processing and decision making; and representative decision support systems. Discussions focus on classification scheme for DSS, abilities required for decision making, division of information-processing labor within an organization, and decision support. The text then elaborates on ideas in decision support, formalizations of purposive systems, and conceptual and operational constructs for building a data base knowledge system. The book takes a look at building a data base knowledge system, language systems for data base knowledge systems, and problem-processing systems for data base knowledge systems. Topics include problem processors for computationally oriented DSS, major varieties of logical data structures, and indirect associations among concepts. The manuscript also examines operationalizing modeling knowledge in terms of predicate calculus; combining the data base and formal logic approaches; and the language and knowledge systems of a DSS based on formal logic. The publication is a valuable reference for researchers interested in decision support systems.

Author : G.E. Phillips-Wren,S. Carlsson,A. Respício
Publisher : IOS Press
Page : 604 pages
File Size : 49,7 Mb
Release : 2014-05-22
Category : Computers
ISBN : 9781614993995

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DSS 2.0 - Supporting Decision Making With New Technologies by G.E. Phillips-Wren,S. Carlsson,A. Respício Pdf

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 8.3 conference held at the Université Pierre et Marie Curie in Paris, France, in June 2014. Throughout its history the conference has aimed to present the latest innovations and achievements in Decision Support Systems. This year the conference looks to the next generation with the theme of new technologies to enable DSS2.0. The topics covered include theoretical, empirical and design science research; case-based approaches in decision support systems; decision models in the real-world; healthcare information technology; decision making theory; knowledge management; knowledge and resource discovery; business intelligence; group decision support systems; collaborative decision making; analytics and ‘big data’; rich language for decision support; multimedia tools for DSS; Web 2.0 systems in decision support; context-based technologies for decision making; intelligent systems and technologies in decision support; organizational decision support; research methods in DSS 2.0; mobile DSS; competing on analytics; and social media analytics._x000D_ _x000D_ The book will be of interest to all those who develop or use Decision Support Systems. The variety of methods and applications illustrated by this international group of carefully reviewed papers should provide ideas and directions for future researchers and practitioners alike.

Author : Göran Fick,Ralph H. Sprague
Publisher : Elsevier
Page : 198 pages
File Size : 41,7 Mb
Release : 2013-10-22
Category : Business & Economics
ISBN : 9781483145167

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Decision Support Systems: Issues and Challenges by Göran Fick,Ralph H. Sprague Pdf

Decision Support Systems: Issues and Challenges covers the proceedings of the International Institute for Applied Systems Analysis (IIASA) International Task Force Meeting. The book reviews papers that tackle issues about decision support systems (DSS). Comprised of 17 chapters, the book organizes the chapters according to the topic of discussion, including framework, resource discipline, application experience, and issues for the future in DSS. The opening chapter is an introduction to the main topic of the book. Chapter 2 discusses frameworks for research on decision support systems, and Chapter 3 covers the decision support systems. The fourth chapter deals with organizational science contributions to the design of decision support systems, while the fifth chapter discusses using data bases for decision support. Chapter 6 tackles the overview of database technology in decision support systems, and Chapter 7 talks about doing and speaking in the office. The eighth chapter discusses a look back at an office of the future, while the ninth chapter covers the implications for research of installing a decision support system. Chapter 10 tackles the problems of design and implementation of computer-based decision support systems. Chapter 11 discusses an interactive modeling system for analysis of alternative decisions; Chapter 12 covers the structure of decision support systems. Chapters 13 to 15 review the group discussion during the conference about the issues for the future in DSS. This book will be of great interest to leaders, since it discusses the integration of technology in the interaction within an organization.

Author : Patricia L. Thomas, PhD, RN, FAAN, FNAP, FACHE, NEA-BC, ACNS-BC, CNL,James L. Harris, PhD, APRN-BC, MBA, CNL, FAAN,Brian J. Collins, BS, MA
Publisher : Springer Publishing Company
Page : 314 pages
File Size : 45,8 Mb
Release : 2020-11-19
Category : Medical
ISBN : 9780826139443

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Data-Driven Quality Improvement and Sustainability in Health Care by Patricia L. Thomas, PhD, RN, FAAN, FNAP, FACHE, NEA-BC, ACNS-BC, CNL,James L. Harris, PhD, APRN-BC, MBA, CNL, FAAN,Brian J. Collins, BS, MA Pdf

Data-Driven Quality Improvement and Sustainability in Health Care: An Interprofessional Approach provides nurse leaders and healthcare administrators of all disciplines with a solid understanding of data and how to leverage data to improve outcomes, fuel innovation, and achieve sustained results. It sets the stage by examining the current state of the healthcare landscape; new imperatives to meet policy, regulatory, and consumer demands; and the role of data in administrative and clinical decision-making. It helps the professional identify the methods and tools that support thoughtful and thorough data analysis and offers practical application of data-driven processes that determine performance in healthcare operations, value- and performance-based contracts, and risk contracts. Misuse or inconsistent use of data leads to ineffective and errant decision-making. This text highlights common barriers and pitfalls related to data use and provide strategies for how to avoid these pitfalls. In addition, chapters feature key points, reflection questions, and real-life interprofessional case exemplars to help the professional draw distinctions and apply principles to their own practice. Key Features: Provides nurse leaders and other healthcare administrators with an understanding of the role of data in the current healthcare landscape and how to leverage data to drive innovative and sustainable change Offers frameworks, methodology, and tools to support quality improvement measures Demonstrates the application of data and how it shapes quality and safety initiatives through real-life case exemplars Highlights common barriers and pitfalls related to data use and provide strategies for how to avoid these pitfalls

Author : Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R.
Publisher : IGI Global
Page : 521 pages
File Size : 51,7 Mb
Release : 2023-12-05
Category : Computers
ISBN : 9798369300503

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Data-Driven Intelligent Business Sustainability by Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R. Pdf

Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.