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

In: Partial Least Squares Structural Equation Modeling

Author

Listed:
  • Necmi K. Avkiran

    (University of Queensland)

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.

Suggested Citation

  • Necmi K. Avkiran, 2018. "Rise of the Partial Least Squares Structural Equation Modeling: An Application in Banking," International Series in Operations Research & Management Science, in: Necmi K. Avkiran & Christian M. Ringle (ed.), Partial Least Squares Structural Equation Modeling, chapter 0, pages 1-29, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-71691-6_1
    DOI: 10.1007/978-3-319-71691-6_1
    as

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