Construct Post Competency Model Based on the Big Data Technology

Abstract

This study aimed to explore one construction method of competency model by big data technology. In the first stage, The data were collected from the recruitment website by Web Crawling. The data analysis was done through text mining using Python to obtain the characteristics of competency elements. In the second stage, part of the data came from the questionnaire survey. The data were analyzed by factor analysis, analytic hierarchy process, and k-means cluster analysis using SPSS, which was to give weight through subjective and objective combination. The results of this study revealed that the competency model of the company’s software project manager is constructed. The model included five dimensions: professional ability, self-improvement, personal charm, personal characteristics, and work practice. The weights account for 28.59%, 15.36%, 15.17%, 18.58% and 22.31% respectively. The five dimensions contain 34 indicators, among which the top ones are organization and coordination ability of 7.9%, systematic thinking ability of 6.99%, problem analysis and problem-solving ability of 4.65%, correct values of 4.84%, unity, and cooperation of 4.81% and forward-looking ability of 4.13%. Traditional methods lack a quantitative way in the data collection and analysis stage, resulting in the lack of objectivity of the results. The study improved this situation. The method of a building competency model is enriched by big data technology. At the same time, the subjective and objective combination weighting method effectively avoided the limitations of being too subjective or too objective.