Skip to main content
placeholder image

Why PLS-SEM is suitable for complex modeling? An empirical illustration in Big Data Analytics Quality

Journal Article


Abstract


  • The emergence of multivariate analysis techniques transforms empirical validation of theoretical concepts in social science and business research. In this context, structural equation modeling (SEM) has emerged as a powerful tool to estimate conceptual models linking two or more latent constructs. This paper shows the suitability of the partial least squares (PLS) approach to SEM (PLS-SEM) in estimating a complex model drawing on the philosophy of verisimilitude and the methodology of soft modelling assumptions. The results confirm the utility of PLS-SEM as a promising tool to estimate a complex, hierarchical model in the domain of big data analytics quality (BDAQ).

Authors


  •   Akter, Shahriar
  •   Fosso Wamba, Samuel (external author)
  •   Dewan, Saifullah (external author)

Publication Date


  • 2017

Citation


  • Akter, S., Fosso Wamba, S. & Dewan, S. (2017). Why PLS-SEM is suitable for complex modeling? An empirical illustration in Big Data Analytics Quality. Production Planning and Control, 28 (11-12), 1011-1021.

Scopus Eid


  • 2-s2.0-85022215085

Number Of Pages


  • 10

Start Page


  • 1011

End Page


  • 1021

Volume


  • 28

Issue


  • 11-12

Place Of Publication


  • United Kingdom

Abstract


  • The emergence of multivariate analysis techniques transforms empirical validation of theoretical concepts in social science and business research. In this context, structural equation modeling (SEM) has emerged as a powerful tool to estimate conceptual models linking two or more latent constructs. This paper shows the suitability of the partial least squares (PLS) approach to SEM (PLS-SEM) in estimating a complex model drawing on the philosophy of verisimilitude and the methodology of soft modelling assumptions. The results confirm the utility of PLS-SEM as a promising tool to estimate a complex, hierarchical model in the domain of big data analytics quality (BDAQ).

Authors


  •   Akter, Shahriar
  •   Fosso Wamba, Samuel (external author)
  •   Dewan, Saifullah (external author)

Publication Date


  • 2017

Citation


  • Akter, S., Fosso Wamba, S. & Dewan, S. (2017). Why PLS-SEM is suitable for complex modeling? An empirical illustration in Big Data Analytics Quality. Production Planning and Control, 28 (11-12), 1011-1021.

Scopus Eid


  • 2-s2.0-85022215085

Number Of Pages


  • 10

Start Page


  • 1011

End Page


  • 1021

Volume


  • 28

Issue


  • 11-12

Place Of Publication


  • United Kingdom