Research on Organization Management Optimization Driven by Intelligent Technology

DOI

10.2991/978-94-6463-038-1_55How to use a DOI?

Keywords

technology-driven; organizational structure; flattening; technical matching

Abstract

With the continuous upgrading of intelligent technology, which technology organizations and managers choose to enhance their management ability is an urgent problem to be solved. The goal of this paper is to find the best matching scheme between management functions and various technologies so as to improve the efficiency of managers engaged in engineering management and project management. First of all, the relationship between the extent of management and management efficiency is discussed. Secondly, represented by cloud storage, holographic projection, artificial intelligence and Internet of Things, management functions are divided into memory, communication, decision-making and monitoring functions, and each function is divided into three dimensions. Then, through questionnaire survey, Likert Scale was used to score these dimensions of technology and function, and the spatial coordinates of management sub-function and technology points were obtained based on the score. Thirdly, the filtering algorithm is used to calculate the spatial distance between two points to determine the matching degree of technology and function. The conclusions of this paper are as follows: cloud storage technology assists memory, holographic projection assists communication, artificial intelligence assists decision-making, and Internet of Things assists monitoring.

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  - Xirong Gao
AU  - Kunlu Zhou
PY  - 2022
DA  - 2022/12/15
TI  - Research on Organization Management Optimization Driven by Intelligent Technology
BT  - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
PB  - Atlantis Press
SP  - 589
EP  - 598
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-038-1_55
DO  - 10.2991/978-94-6463-038-1_55
ID  - Gao2022
ER  -