The Impact of Human-Machine Collaboration on Knowledge Workers’ Innovative Behavior: The Mediating Role of Autonomous Learning Willingness

DOI

10.2991/978-94-6463-326-9_44How to use a DOI?

Keywords

human-machine collaboration model; knowledge workers; innovative behaviors; autonomous learning motivation

Abstract

With the continuous development of informatization, the human-machine collaboration model has exerted a significant impact on employment in current society. Knowledge workers represent a crucial force across various industries, and the evolution of the human-machine collaboration model has also impacted their employment prospects. The autonomous learning motivation of knowledge workers has been further enhanced, leading them to actively improve their knowledge reservoir and engage in more innovative behaviors. This paper primarily conducts a questionnaire survey on knowledge workers using five dimensions: organizational innovation atmosphere, self-driven consciousness, innovation efficacy, planned learning arrangements, and self-crisis awareness. It employs the VAR regression model and utilizes SPSS software for questionnaire validity and regression data analysis. The research validates three hypotheses: that the human-machine collaboration model causes occupational replacement risks for knowledge workers, that the effect of the occupational replacement risks of the human-machine collaboration model positively influences knowledge workers’ autonomous learning motivation, and that autonomous learning motivation significantly enhances knowledge workers’ innovative behaviors. Autonomous learning motivation is taken as the mediating variable, ultimately demonstrating the significant positive effect of the human-machine collaboration model on knowledge workers’ innovative behaviors.

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  - Yangyang Chen
AU  - Xuli Ma
AU  - Hu Liu
AU  - Jing Chen
PY  - 2023
DA  - 2023/12/30
TI  - The Impact of Human-Machine Collaboration on Knowledge Workers’ Innovative Behavior: The Mediating Role of Autonomous Learning Willingness
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 418
EP  - 433
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_44
DO  - 10.2991/978-94-6463-326-9_44
ID  - Chen2023
ER  -