Open AccessRETRACTED: Research on Optimization Plan of Enterprise Employee Training under the Background of Big Data
Author(s) -
Wang Ya-fen,
Xincheng Bai
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/2/022004
Subject(s) - status quo , enthusiasm , business , training (meteorology) , plan (archaeology) , work (physics) , knowledge management , marketing , computer science , psychology , engineering , economics , mechanical engineering , social psychology , physics , archaeology , meteorology , market economy , history
This article takes SMEs as the research object, and aims to study the problems and optimization schemes of SME employee training under the background of big data. This article uses a combination of literature reading, statistical analysis and questionnaire survey to investigate the employees of a certain company’s specific production base, and conducts research and analysis on the company’s employee training management. This article first introduces some concepts of modern enterprise training, and then analyzes the status quo of enterprise employee training. Through the interviews and questionnaires issued to the employees of the company, it analyzes the problems and causes of the company’s employee training management, and provides optimized solutions for the company’s employee training. The experimental results of this paper show that the optimization of corporate employee training programs under the background of big data plays a positive role in corporate management. It improves employee enthusiasm and work commitment, and increases the number of corporate trainings.