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E-raamat: Computer-Supported Collaborative Decision-Making

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This is a book about how management and control decisions are made by persons who collaborate and possibly use the support of an information system. The decision is the result of human conscious activities aiming at choosing a course of action for attaining a certain objective (or a set of objectives). The act of collaboration implies that several entities who work together and share responsibilities to jointly plan, implement and evaluate a program of activities to achieve the common goals. The book is intended to present a balanced view of the domain to include both well-established concepts and a selection of new results in the domains of methods and key technologies. It is meant to answer several questions, such as: a) "How are evolving the business models towards the ever more collaborative schemes?"; b) "What is the role of the decision-maker in the new context?" c) "What are the basic attributes and trends in the domain of decision-supporting information systems?"; d) "Whic

h are the basic methods to aggregate the individual preferences?" e)"What is the impact of modern information and communication technologies on the design and usage of decision support systems for groups of people?".

Collaboration and Decision-making in Context.- Decision Support Systems.- Collaborative Activities and Methods.- Essential Enabling Technologies.- Applications.
1 Collaboration and Decision-Making in Context
1(30)
1.1 The Evolving Controlled Object
1(5)
1.1.1 The Enterprise as a Large-Scale System
2(3)
1.1.2 Adopted Terminology
5(1)
1.1.3 Classification
5(1)
1.2 From Hierarchical Control to Cooperative Schemes
6(4)
1.2.1 Hierarchical Systems Approach
7(1)
1.2.2 Towards Cooperative Schemes
8(2)
1.3 The Role of the Human in the System
10(7)
1.3.1 The Human in the Loop
11(1)
1.3.2 Allocation of Functions and Levels of Automation
12(4)
1.3.3 The Need for Effective Computer Supported Collaboration
16(1)
1.4 Towards Anthropocentric Information Systems
17(2)
1.4.1 Several Questions and Answers
17(1)
1.4.2 Attributes
18(1)
1.5 Decisions and Decision Units
19(6)
1.5.1 Definitions
19(1)
1.5.2 Possible Approaches
20(2)
1.5.3 Multicriteria Decision Models
22(3)
1.6 Notes and Comments
25(6)
References
26(5)
2 Decision Support Systems
31(40)
2.1 Decisions and Decision-Makers
32(3)
2.1.1 Herbert Simon's Process Model of Decision-Making
32(2)
2.1.2 Limits and Constrains of Human Decision Makers
34(1)
2.1.3 Classes of Decision-Makers
34(1)
2.2 DSS Basic Concepts
35(7)
2.2.1 Definition and Characteristic Features
36(1)
2.2.2 DSS Technology
37(3)
2.2.3 A Special Case: Real-Time DSS for Control Applications
40(2)
2.3 DSS Subclasses
42(9)
2.3.1 Classification 1 (with Respect to Decision Maker Type)
43(1)
2.3.2 Classification 2 (with Respect to Type of Support)
44(1)
2.3.3 Classification 3 (with Respect to the Technological Orientation)
44(1)
2.3.4 Special Cases
45(6)
2.4 DSS Construction
51(11)
2.4.1 Influence Factors
51(2)
2.4.2 Design and Implementation Approaches
53(4)
2.4.3 Selection of the I&CT Tools
57(3)
2.4.4 Integration and Evaluation
60(2)
2.5 Notes and Comments
62(9)
References
63(8)
3 Collaborative Activities and Methods
71(50)
3.1 Computer Supported Collaboration
71(9)
3.1.1 Collaboration, e-Collaboration and Collaborative Groups
71(3)
3.1.2 Brief History of e-Collaboration
74(3)
3.1.3 More About Group Support Systems
77(2)
3.1.4 Crowdsourcing---A Special Case of Collaboration
79(1)
3.2 Fundamentals of Social Choice
80(12)
3.2.1 Aggregating Individual Preferences
81(2)
3.2.2 Voting Mechanisms
83(4)
3.2.3 Axioms and Paradoxes
87(3)
3.2.4 Implications for Group Support Systems
90(2)
3.3 Further Extensions from Social Choice Theory to Group Decisions
92(12)
3.3.1 Judgment Aggregation
93(4)
3.3.2 Resource Allocation
97(5)
3.3.3 Group Argumentation
102(2)
3.4 Collaboration Engineering
104(9)
3.4.1 Basic Collaboration Patterns
105(3)
3.4.2 Collaborative Decision-Making Process
108(2)
3.4.3 Deployment of Collaboration Models
110(3)
3.5 Notes and Comments
113(8)
References
114(7)
4 Essential Enabling Technologies
121(56)
4.1 Modern Data Technologies
122(7)
4.1.1 Data-Driven Decision Support Systems
122(2)
4.1.2 Big Data
124(1)
4.1.3 Business Intelligence and Analytics
125(2)
4.1.4 Towards a Data Science
127(2)
4.2 Web Technologies
129(6)
4.2.1 The Concept
129(1)
4.2.2 Particular Subclasses
129(2)
4.2.3 Usages and Relevance to Collaborative Decision-Making
131(3)
4.2.4 Standards
134(1)
4.3 Social Networks
135(6)
4.3.1 The Concept
135(1)
4.3.2 Particular Subclasses
136(2)
4.3.3 Usages and the Relevance to Collaborative Decision-Making
138(2)
4.3.4 Standards
140(1)
4.4 Mobile Computing
141(10)
4.4.1 The Concept
141(1)
4.4.2 Classes and Subclasses
142(4)
4.4.3 Usage and Relevance to Collaborative Decision-Making
146(3)
4.4.4 Mobile Cloud Computing
149(2)
4.5 Biometric Technologies for Virtual Electronic Meetings (By I. Buciu)
151(11)
4.5.1 The Concept
152(2)
4.5.2 Particular Subclasses
154(4)
4.5.3 Mobile and Web-Based Technologies
158(1)
4.5.4 Possible Attacks
159(1)
4.5.5 Attributes of Effective Technologies
160(1)
4.5.6 Standards
161(1)
4.6 Game Technology as a Tool for Collaborative Decision-Making (By Ioana Andreea Stefan)
162(4)
4.6.1 The Game Mechanics
163(1)
4.6.2 Software Tools
164(2)
4.7 Notes and Comments
166(11)
References
167(10)
5 Applications
177(36)
5.1 A Practical Swarming Model for Facilitating Collaborative Decisions
177(11)
5.1.1 The Concept of Stigmergic Coordination
178(2)
5.1.2 The Computational Model and Its Implementation
180(3)
5.1.3 Some Experimental Results
183(4)
5.1.4 Discussion and Concluding Remarks
187(1)
5.2 An Application of Data Mining to Decisions in Labour Market (By Claudiu Brandos and Ciprian Panzaru)
188(6)
5.2.1 A Framework of a Labour Market Decision Support System (LM-DSS)
189(1)
5.2.2 Example
190(3)
5.2.3 Comments
193(1)
5.3 iDecisionSupport Platform (By Ciprian Candea)
194(19)
5.3.1 The Concept
195(3)
5.3.2 Current Version
198(8)
5.3.3 The Evolution
206(1)
References
207(6)
Index 213