Hybrid multigroup partial least squares structural equation modelling: an application to bank employee satisfaction and loyalty

Giuseppe Lamberti ()
Additional contact information
Giuseppe Lamberti: Universitat Autònoma de Barcelona

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 4, No 9, 683-705

Abstract: Abstract We describe a practical approach to tackling observed heterogeneity using partial least squares structural equation modelling (PLS-SEM) when the number of categorical variables is high and the context of the research is exploratory. The approach is based on combining classical multigroup PLS-SEM approach and pathmox analysis. We provide practical guidance on using our hybrid multigroup PLS-SEM and illustrate its application using real data for bank employees. In investigating work climate, specifically the relationship between satisfaction and loyalty considering specific drivers (empowerment, company reputation, leadership, pay, and work conditions) and different sources of heterogeneity (gender, age, marital status, education, job level, and antiquity), the hybrid multigroup PLS-SEM identified three partitions defined by juniors, seniors, and managers, and identified significant differences between those groups, specifically in indicating that leadership and pay were more important for juniors, empowerment for seniors, and company reputation and work conditions for managers.

Keywords: Heterogeneity; Multigroup analysis; PLS-MGA; Pathmox analysis; Job satisfaction; Employee loyalty (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11135-021-01096-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:57:y:2023:i:4:d:10.1007_s11135-021-01096-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-021-01096-9

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().