The Relationship between the level of Choosing Competences of Operational Employees and the Acceptance of Work in an Automated Warehouse
[ 1 ] Instytut Logistyki, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ P ] employee
2022
scientific article
english
- partial Least Squares Path Modelling (PLS)
- work competencies
- Industry 4.0
- UTAUT model
- warehouse
- automation
EN Purpose: The aim of the paper is to determine the relationship between the level of employees' competences in the field of ability to use interfaces, adaptability and flexibility, creativity / initiative, critical thinking, laying out logical structures, quick response to change in the process, spatial imagination / orientation in space and their level of acceptance of work in an automated environment interpreted on the basis of the degree of their interest in work and cooperation with technology. Design/Methodology/Approach: The research model and research constructs were developed on the basis of the survey results. Employees completing the questionnaire made a self-assessment in terms of the level of their competence and interest in technology. To test the research model and proposed hypothesis, this study applies Partial Least Squares Path Modelling (PLS), a variance-based structural equation modelling technique (SEM) that aims to maximise the explained variance of the dependent latent constructs. SmartPLS version 3 was used to analyze the data in this study following a two-step analysis approach. Findings: The level of acceptance of work in an automated environment depends on the level of competence, the ability to use interfaces and Quick of response to change in the process. People with a higher level of these competencies also show a higher interest in technology and its use both in private and professional life. These people are also characterized by a higher level of acceptance of work in an automated environment. Practical implications: The conducted research made it possible to identify the relationship between employees' competencies and the degree of their acceptance of work in an automated environment. Thanks to the results, it is possible to identify whether the employee will feel comfortable working in an automated environment or not. Originality/Value: Thanks to the identification of the relationship between competencies, there is no need to test all, but only selected ones, which will greatly facilitate the diagnosis.
194 - 203
CC BY-NC (attribution - noncommercial)
open journal
final published version
at the time of publication
public
100