Collaborative intelligence measure for knowledge based service industry

Prabhu Devadasan, Purdue University

Abstract

Same or similar e-services are provided by several web based companies. While many of them are competitive in nature, some are collaborative in nature. But there are few methodologies currently existing for measuring the value of ecollaboration of these companies providing e-service. While companies can collaborate with other similar or complementary e-service, collaboration between competitors can also be beneficial. The objective of this research is to measure Collaborative Intelligence for a knowledge based service industry and to identify measures for finding the best collaborators during the formation and functioning stage of the Collaborative Network Optimization (CNO).The model developed in this research, CIMK (Collaborative Intelligence Measure of KBS), measures the value of CI by functions of operational and strategic parameters and suggests optimum operating points for various customer projects. CIMK allows the Decision maker to adjust the functions based on their knowledge of the system for greater flexibility. Then an algorithm, CNOA, is used to select best providers of knowledge and services for a project based on their CI contribution is developed in a HUBzero® framework, which is a type of cloud computing developed at Purdue university for scientists and engineers collaboration. Three analytic experiments are designed and performed to validate the model in terms of usability; to compare the CIMK model with alternative methods; and to find the relative advantages of the CIMK model. The results of the experiments show that the average cost of the system operation decreases by close to 50% when Operating Points with high CI, suggested by CIMK model, are implemented. The CI value computed by CIMK is successfully used as a parameter for matching Service Providers to projects.

Degree

M.S.I.E.

Advisors

Nof, Purdue University.

Subject Area

Computer Engineering

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