Authors:
Marco Remondino
and
Marco Pironti
Affiliation:
University of Turin, Italy
Keyword(s):
Collaboration, Bias, Ego biased learning.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Social and Legal Issues
;
Social Networks and Organizational Culture
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
To understand the adoption of collaborative systems, it is of great importance to know about economical effects of collaboration itself. Decision makers should be able to evaluate potential drawbacks and advantages of collaboration: strategies may be seen as a mixture of cost reduction, product differentiation and improvement of decision making and/or planning. In this context information technology may help a firm to create sustaining competitive advantages over competitors. It is less clear whether collaboration is of any use in such an environment. According to the Economics literature, the most important factors affecting benefits of collaboration are market structure, kind and degree of uncertainty faced by the firms, their risk preferences and the collaboration propensity. The results depend on the way these factors are combined. We present a microeconomic model and use techniques from game theory for the analysis. The way the model is constructed will allow the derivation of c
losed-form solutions. Traditional learning models can't represent individualities in a social system, or else they represented all of them in the same way – i.e.: as focused and rational agents; they don’t represent individual inclinations and preferences. Results indicating whether collaboration in various areas makes sense will be obtained. This makes it possible to judge the potential of available collaborative technology. The basic presented model may be extended in various ways.
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