Stay with us! Examining academics‘ motivation, intention to remain, and turnover intention amidst the covid-19 lockdown through growth curve modeling

Link:
Autor/in:
Verlag/Körperschaft:
Hamburg University of Technology
Erscheinungsjahr:
2022
Medientyp:
Text
Schlagworte:
  • Human resources in academic organizations
  • Academic motivation
  • Intention to remain
  • Turnover intention
  • Latent growth curve (LGC) modeling
  • Covid-19 lockdown
  • 620: Ingenieurwissenschaften
Beschreibung:
  • 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.
Beziehungen:
DOI 10.21125/edulearn.2022
Quellsystem:
TUHH Open Research

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Quelldatensatz
oai:tore.tuhh.de:11420/13378