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Stay with us! Examining academics‘ motivation, intention to remain, and turnover intention amidst the covid-19 lockdown through growth curve modeling
Publikationstyp
Conference Paper
Date Issued
2022-07
Sprache
English
Author(s)
Frömbling, Lena
Herausgeber*innen
Start Page
749
End Page
759
Citation
14th Annual International Conference on Education and New Learning Technologies (EDULEARN22): 479-759
Contribution to Conference
Publisher DOI
Publisher
ATED Academy
ISBN
978-84-09-42484-9
Covid-19 put severe pressure on human resources in several sectors, including higher education. During the lockdown, universities were forced to go online, and academics started working from home. This new environment might have impacted academics’ motivation and, subsequently, their turnover intention and intention to remain in their universities. Guided by the affective events theory, we aimed to examine these longitudinal effects. We collected data from academics in Malaysia at three time points, namely the beginning of the lockdown (April), the end of the lockdown (June), and two months after the lockdown (August) in 2020. In addition, we considered previous higher education experience, age, and academic rank as time-invariant covariates in our model and applied latent growth curve modeling to analyze the data. For this purpose, we used the EQS 6.4 statistical package.
Subjects
Human resources in academic organizations
Academic motivation
Intention to remain
Turnover intention
Latent growth curve (LGC) modeling
Covid-19 lockdown
DDC Class
620: Ingenieurwissenschaften
Funding Organisations
Ministry of Higher Education Malaysia (FRGS/1/2019/SS05/USM/02/5)