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2014 | Buch

E-Expertise Kapitel lesen Erstes Kapitel lesen

E-Expertise: Modern Collective Intelligence

verfasst von: Dmitry Gubanov, Nikolai Korgin, Dmitry Novikov, Alexander Raikov

Verlag: Springer International Publishing

Buchreihe : Studies in Computational Intelligence

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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SUCHEN

Über dieses Buch

This book focuses on organization and mechanisms of expert decision-making support using modern information and communication technologies, as well as information analysis and collective intelligence technologies (electronic expertise or simply e-expertise).

Chapter 1 (E-Expertise) discusses the role of e-expertise in decision-making processes. The procedures of e-expertise are classified, their benefits and shortcomings are identified and the efficiency conditions are considered.

Chapter 2 (Expert Technologies and Principles) provides a comprehensive overview of modern expert technologies. A special emphasis is placed on the specifics of e-expertise. Moreover, the authors study the feasibility and reasonability of employing well-known methods and approaches in e-expertise.

Chapter 3 (E-Expertise: Organization and Technologies) describes some examples of up-to-date technologies to perform e-expertise.

Chapter 4 (Trust Networks and Competence Networks) deals with the problems of expert finding and grouping by information and communication technologies.

Chapter 5 (Active Expertise) treats the problem of expertise stability against any strategic manipulation by experts or coordinators pursuing individual goals.

The book addresses a wide range of readers interested in management, decision-making and expert activity in political, economic, social and industrial spheres.

Inhaltsverzeichnis

Frontmatter
Chapter 1. E-Expertise
Abstract
Traditionally, theoreticians represent the process of decision-making as a block diagram of choosing a certain decision from several alternatives to achieve formulated goals using accumulated experience and available resources. It is necessary to define assessment criteria for evaluating the alternatives with respect to the goals and a current situation.
Dmitry Gubanov, Nikolai Korgin, Dmitry Novikov, Alexander Raikov
Chapter 2. Expert Technologies and Principles
Abstract
This chapter pretends to be a navigator over expert technologies. It describes the basic stages and methods of expertise, methods of expert grouping, typical errors, as well as the general technology of expertise organization and its principles. Finally, we discuss some prediction problems. The exposition par excellence proceeds from generalization of well-known classical statements (see the theory of expert appraisals) with emphasizing the specifics of e-expertise.
Dmitry Gubanov, Nikolai Korgin, Dmitry Novikov, Alexander Raikov
Chapter 3. E-Expertise: Organization and Technologies
Abstract
Figure 3.1 demonstrates the institutional organization of e-expertise. In what follows, we discuss it in detail, i.e., provide a list of feasible technologies, study different forms such as polling, electronic brainstorming, etc.
Dmitry Gubanov, Nikolai Korgin, Dmitry Novikov, Alexander Raikov
Chapter 4. Trust Networks and Competence Networks
Abstract
Expert finding for specific e-expertise is a multidisciplinary problem at the junction of strategic analysis, decision-making theory, synergy, inverse problem solution, human capital and emotional potential assessment, motivation control, quantum semantics, knowledge management, organizational analysis, information retrieval (acquisition, indexing, storage of artefacts and other evidence of expert knowledge), and analysis of social and organizational networks. It seems often difficult or even impossible to localize potential experts in an organization. The reasons consist in very many employees of an organization, its functionally and/or geographically dispersed character. What is more important, problem solving may require inviting experts from related or totally different subject domains.
Dmitry Gubanov, Nikolai Korgin, Dmitry Novikov, Alexander Raikov
Chapter 5. Active Expertise
Abstract
In the preceding chapters, we have described e-expertise by assuming (implicitly or, par excellence, explicitly) that all participants of expert activity follow the primary goals of expertise, i.e., to provide maximum complete, adequate and reliable information on the object or subject of expertise for Principal’s decision-making.
Dmitry Gubanov, Nikolai Korgin, Dmitry Novikov, Alexander Raikov
Backmatter
Metadaten
Titel
E-Expertise: Modern Collective Intelligence
verfasst von
Dmitry Gubanov
Nikolai Korgin
Dmitry Novikov
Alexander Raikov
Copyright-Jahr
2014
Electronic ISBN
978-3-319-06770-4
Print ISBN
978-3-319-06769-8
DOI
https://doi.org/10.1007/978-3-319-06770-4

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