EconPapers    
Economics at your fingertips  
 

Rise of the Partial Least Squares Structural Equation Modeling: An Application in Banking

Necmi K. Avkiran ()
Additional contact information
Necmi K. Avkiran: University of Queensland

Chapter Chapter 1 in Partial Least Squares Structural Equation Modeling, 2018, pp 1-29 from Springer

Abstract: Abstract Researchers across a wide range of disciplines exploited the capabilities of partial least squares structural equation modeling (PLS-SEM). The rise in popularity of PLS-SEM is particularly noticeable 2013 onwards. The banking and finance discipline, however, hardly exploits the advantages of the PLS-SEM approach. PLS-SEM can be used for prediction and exploration in complex models with relaxed expectations on data. PLS-SEM is useful in identifying relationships between constructs. If the primary objective is theory development, PLS-SEM is appropriate.

Keywords: Banking; Managerial competency; PLS-SEM; CB-SEM; IPMA; GSCA (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (25)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:isochp:978-3-319-71691-6_1

Ordering information: This item can be ordered from
http://www.springer.com/9783319716916

DOI: 10.1007/978-3-319-71691-6_1

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-319-71691-6_1