Working environment positioning system, method and computer-type product thereof

Abstract

The invention discloses a working environment positioning system, method and computer procedure product thereof. The working environment orientation system comprises an interface unit for receiving a plurality of data input by a plurality of users. A characteristic analyzing unit is connected with a data input unit and used for analyzing a plurality of characteristic indexes of each of the plurality of users according to the plurality of data. A fitness analyzing unit is connected with the characteristic analyzing unit and used for analyzing fitness among the plurality of users according to the plurality of characteristic indexes to generate a plurality of corresponding fitness indexes and thereby obtain a fitness matrix. A report generating unit receives analysis results from the characteristic analyzing unit and the fitness analyzing unit, and analyzes positioning relationship of the plurality of users in the working environment to generate an analysis report.

Description

technical field [0001] The present invention relates to a working environment positioning system, its method and its computer program product, especially relates to analyzing multiple characteristic indices of each of the multiple users according to the data input by the multiple users, and then according to the The plurality of characteristic indexes calculate a fit index matrix, and finally calculate a working environment positioning system, its method and its computer program product according to the fit index matrix to calculate the spatial positioning relationship of the plurality of users. Background technique [0002] In the era of knowledge economy, people are the core cornerstone of enterprise competitiveness. Enterprises must effectively establish interpersonal networks, plan appropriate organizations to stimulate the abilities and enthusiasm of organizational members, and continuously create and share unique technologies and experiences of enterprises to achieve co...

AI Technical Summary

Problems solved by technology

However, these methods can only measure individual characteristics, and at the same time, there is a great risk of systematic statistical deviations. Not only cannot accurately measure employee characteristics, but also cannot understand the relationship between people and people, people and organizations, and organizations and organizations

Images