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An Automated Geometric Appraisal Model: A Computerized Performance-Based Incentive Policy Suitable for HEIs in India
Abstract
The idea of the circular economy is gaining steam in academia through the green economics of human resources policies in Asia. A high performance model delivers superior outcomes but does not deter praiseworthy professors from biased human interference. Using the computerized-based geometric performance base incentive model (CGPBI) is particularly beneficial in encouraging faculty who have achieved superior outcomes in all areas of science, academia, and other contributions. To fill this gap, the author proposed a geometric hybrid reward policy model that includes a number of fictitious variables such as topic tolerance, the effects of subject matter, and the average outcome across all subjects. This model uses Python to construct a standardized framework to gather data on the success of faculty. It provides a robust indication of comparative success and motivates workers to achieve more transparent performance outcomes. The author proposes the use of a multi-source assessment (MSA) to evaluate the faculty's annual results.
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