Proceedings of the 2019 4th International Conference on Social Sciences and Economic Development (ICSSED 2019)

The mechanism between turnover intention and turnover action: A dynamic model’s construction using Laplace transform

Authors
Liu Hao
Corresponding Author
Liu Hao
Available Online May 2019.
DOI
10.2991/icssed-19.2019.35How to use a DOI?
Keywords
Employee turnover, Dynamic modelling, Laplace transform.
Abstract

This conceptual paper explains the possibility of sorting Allen and Meyer organizational commitment measure into boost converter model and create a dynamic modelling, in order to simulate employees' turnover action. The study suggests input data into all six possible models and finding out the best fit model. Then discourse analysis of expert opinion and card sorting exercise will be deployed for result’s triangulation. Laplace transform is suggested for processing the equations. R and OpenModelica are the proposed tools for quantitative data analysis.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 4th International Conference on Social Sciences and Economic Development (ICSSED 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2019
ISBN
978-94-6252-718-8
ISSN
2352-5398
DOI
10.2991/icssed-19.2019.35How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liu Hao
PY  - 2019/05
DA  - 2019/05
TI  - The mechanism between turnover intention and turnover action: A dynamic model’s construction using Laplace transform
BT  - Proceedings of the 2019 4th International Conference on Social Sciences and Economic Development (ICSSED 2019)
PB  - Atlantis Press
SP  - 191
EP  - 194
SN  - 2352-5398
UR  - https://doi.org/10.2991/icssed-19.2019.35
DO  - 10.2991/icssed-19.2019.35
ID  - Hao2019/05
ER  -