Analysis of Information Technology Management Development in the Context of Population Aging --Based on Gray Prediction Algorithm

DOI

10.2991/978-94-6463-056-5_68How to use a DOI?

Keywords

Aging; Information technology; Gray prediction; Management Science

Abstract

Management science has been extended to various fields, forming an independent discipline system with a wide range of contents and complete categories, and management science has become the third category of science alongside social science and natural science. Information technology plays an important role as one of them with the rapid development of science and technology, information technology has become the mainstream of the technological revolution, and at the same time, actively dealing with aging has been elevated to a national strategy, and age-appropriate information technology has become a topic that needs to be addressed. In this paper, the number of aging population in 2022 is predicted by gray prediction algorithm, and the results show that the number of aging population will continue to grow. The growth of the aging population will be accompanied by problems such as the digital divide of the aging population and deviation from the acceptability of the aging population in information technology management. In response to this problem, we explore where information technology should go in terms of policy, technology, society, and personnel management.

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.

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TY  - CONF
AU  - Yongsheng Lian
AU  - Wei Xu
PY  - 2022
DA  - 2022/12/29
TI  - Analysis of Information Technology Management Development in the Context of Population Aging --Based on Gray Prediction Algorithm
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 467
EP  - 471
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_68
DO  - 10.2991/978-94-6463-056-5_68
ID  - Lian2022
ER  -