By Dmitry Gubanov
This booklet specializes in association and mechanisms of specialist decision-making aid utilizing sleek info and verbal exchange applied sciences, in addition to details research and collective intelligence applied sciences (electronic services or just e-expertise).
Chapter 1 (E-Expertise) discusses the function of e-expertise in decision-making methods. The approaches of e-expertise are categorized, their merits and shortcomings are pointed out and the potency stipulations are considered.
Chapter 2 (Expert applied sciences and ideas) offers a finished evaluation of contemporary professional applied sciences. a different emphasis is put on the specifics of e-expertise. in addition, the authors learn the feasibility and reasonability of utilizing recognized tools and ways in e-expertise.
Chapter three (E-Expertise: association and applied sciences) describes a few examples of updated applied sciences to accomplish e-expertise.
Chapter four (Trust Networks and Competence Networks) offers with the issues of professional discovering and grouping through details and communique technologies.
Chapter five (Active services) treats the matter of workmanship balance opposed to any strategic manipulation through specialists or coordinators pursuing person goals.
The booklet addresses quite a lot of readers attracted to administration, decision-making and specialist job in political, monetary, social and business spheres.
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Additional resources for E-Expertise: Modern Collective Intelligence
1. Requisite variety. All subjects participating in elaboration of an expert report must have the opportunity of choosing any elements of expertise technology (including selection of expertise methods, types of expert appraisals, ways of expert finding and polling, as well as accuracy indices). Furthermore, this principle guarantees the freedom of actions for all participants of expert activity based on an appropriate legal base). On the other hand, for the sake of expert procedure convergence and accelerated reaching a consensus, all experts must follow a uniform methodology or a system of interconnected methodologies of multistage expert processes and recommendations of moderators.
The relative importance ratings of product requirements allow defining the domains of most interest or maximum expectations (on the one hand) and identifying ‘‘bottlenecks’’ to-be-improved. Estimation of the competitive ability of products shows how ultimate users interpret the products against competitors in the sense of their needs satisfaction. 5 Expertise in Quality Management 29 5. Comparison 4. Comparison 8. Preference points 6. Benchmarking 2. Importance ratings 1. Customer Requirements Market needs 3.
Importance ratings 1. Customer Requirements Market needs 3. Technical Descriptors + 7. Actual values 9. Target values 10. Controlled values Fig. 2 Quality function deployment Technical descriptors (up to 500) Fig. 3 Identification of inconsistent requirements to new products Step 7 is connected with expert appraisal of the actual values of technical descriptors. Necessary data often follow from measurements and tests. Note that such information covers both the products of a company and its competitors.
E-Expertise: Modern Collective Intelligence by Dmitry Gubanov