Abstract:

This article explores the theory and practices of key factor evaluation that serves technology planning and decision-making. Through case analysis, it explores the evaluation methods of factors that affect technology planning and decision-making in engineering companies in the petrochemical industry, analyzes the key steps in the construction process including factor selection, weight allocation, quantification methods and evaluation models, and adopts the methods of factor analysis and analytic hierarchy process to conduct key factor evaluation. The research results show that a scientifically reasonable key factor evaluation system can effectively promote the achievement of organizational goals. This factor evaluation system plays a positive role in improving planning level, optimizing decision support and other aspects. Finally, the shortcomings of the current research are summarized, and some suggestions are provided for future research directions.

Key words: AHP, CSF, evaluation system, evaluation model