Comprehensive Ability Evaluation System Design for Digital Media Entrepreneurs in the Perspective of Big Data
- DOI
- 10.2991/978-94-6463-230-9_123How to use a DOI?
- Keywords
- evaluation system; system design; digital media; entrepreneur; comprehensive competency
- Abstract
With the continuous development and innovation of the digital media industry, the comprehensive ability evaluation of digital media entrepreneurs is getting more and more attention. The traditional manual evaluation method can hardly meet the needs of the big data era, so it is necessary to establish a set of comprehensive ability evaluation system for digital media entrepreneurs based on the big data perspective. This paper builds on the background of new media entrepreneurs’ competency and integrates digital media entrepreneurial competency by providing entrepreneurs’ personal information, work experience, professional skills and professional achievements as leading questions in the input layer, and using AHP hierarchical analysis in the analysis layer for competency data statistics and mining, and finally generating individual entrepreneurial competency reports [10]. The competency report produced according to the system is based on the corresponding competency enhancement methods to help digital media entrepreneurs.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Dongyu Han AU - Ying Liu AU - Huiqin Shi AU - Jinyi Li AU - Sheng Cao PY - 2023 DA - 2023/09/04 TI - Comprehensive Ability Evaluation System Design for Digital Media Entrepreneurs in the Perspective of Big Data BT - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023) PB - Atlantis Press SP - 1022 EP - 1027 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-230-9_123 DO - 10.2991/978-94-6463-230-9_123 ID - Han2023 ER -