Decision Support
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Decision Support

An Examination of the DSS Discipline
 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9781441961815
Veröffentl:
2010
Einband:
eBook
Seiten:
224
Autor:
David Schuff
Serie:
14, Annals of Information Systems
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This volume documents some of the current best practices in teaching and research and envisions the next twenty years in the decision support systems field. This cohesive vision of the future of the field is presented by the individuals who created it.

This volume of Annals of Information Systems will acknowledge the twentieth anniversary of the founding of the International Society for Decision Support Systems (ISDSS) by documenting some of the current best practices in teaching and research and envisioning the next twenty years in the decision support systems field. The volume is intended to complement existing DSS literature by offering an outlet for thoughts and research particularly suited to the theme of describing the next twenty years in the area of decision support.

Several subthemes are planned for the volume. One subtheme draws on the assessments of internationally known DSS researchers to evaluate where the field has been and what has been accomplished. A second subtheme of the volume will be describing the current best practices of DSS research and teaching efforts. A third subtheme will be an assessment by top DSS scholars on where the DSS discipline needs to focus in the future. The tone of this volume is one of enthusiasm for the potential contributions to come in the area of DSS; contributions that must incorporate an understanding of what has been accomplished in the past, build on the best practices of today, and be be integrated into future decision making practices.

The primary questions raised by this volume are:

  • What will information systems-based decision support entail in twenty years?
  • What research is needed to realize the envisioned future of information systems-based decision support?
  • How will the teaching of information systems-based decision support change over the next twenty years?
  • What are the best practices of teaching in the decision support area that can be leveraged to best disseminate DSS knowledge advances to students and practitioners?
Foreword.- Chapter 1: GDSS Past, Present, and Future.- Chapter 2: Reflections on the Past and Future of Decision Support Systems: Perspective of Eleven Pioneers.- Chapter 3: The Intellectual Structure of Decision Support Systems Research (1991-2004).- Chapter 4.- Ethical Decision-Making and Implications for Decision Support.- Chapter 5: Web and Mobile Spatial Decision Support as Innovations: Comparison of United States and Hong Kong, China.- Chapter 6: Knowledge Management Capability in Education.- Chapter 7: Knowledge Warehouse Design for Decision Support in Critical Business Processes: Conceptual Modeling and Requirements Elicitation.- Chapter 8: Agent-based Modeling and Simulation as a Tool for Decision Support for Managing Patient Falls in a Dynamic Hospital Setting.- Chapter 9: Context-aware Mobile Medical Emergency Management Decision Support System for Safe Transportation.- Chapter 10: General Motors Bailout Problem: A Teaching Case Using the Planners Lab™ Software.- Chapter 11: Assessing Today: Determining the Value of Decision Support Systems.

This volume of Annals of Information Systems will acknowledge the twentieth anniversary of the founding of the International Society for Decision Support Systems (ISDSS) by documenting some of the current best practices in teaching and research and envisioning the next twenty years in the decision support systems field. The volume is intended to complement existing DSS literature by offering an outlet for thoughts and research particularly suited to the theme of describing the next twenty years in the area of decision support.

Several subthemes are planned for the volume. One subtheme draws on the assessments of internationally known DSS researchers to evaluate where the field has been and what has been accomplished. A second subtheme of the volume will be describing the current best practices of DSS research and teaching efforts. A third subtheme will be an assessment by top DSS scholars on where the DSS discipline needs to focus in the future. The tone of this volume is one of enthusiasm for the potential contributions to come in the area of DSS; contributions that must incorporate an understanding of what has been accomplished in the past, build on the best practices of today, and be be integrated into future decision making practices.

The primary questions raised by this volume are:

  • What will information systems-based decision support entail in twenty years?
  • What research is needed to realize the envisioned future of information systems-based decision support?
  • How will the teaching of information systems-based decision support change over the next twenty years?
  • What are the best practices of teaching in the decision support area that can be leveraged to best disseminate DSS knowledge advances to students and practitioners?

Decision Support: An Examination of the DSS Discipline will be a volume containing a mixture of peer-reviewed and invited papers. The volume will have several goals:

  1. Report on important research currently in progress in the decision support field.
  2. Identify areas in which research is needed in order to advance the information systems-based support of decision making processes.
  3. Identify "best practices" in current methods of teaching decision support concepts.
  4. Identify anticipated changes necessary to ensure decision support concepts are adequately taught in the future.
  5. Stimulate creative and thoughtful discussion between academic research leaders and the practitioner information systems community that will improve the research, practice, and dissemination of "lessons learned" in the decision support area.
  6. Increase the awareness of the problems and challenges faced by decision support researchers, teachers, and practitioners that can be met with innovative computerized decision support systems.

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