Work

Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality

Year: 2017

Type: 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 modelling (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.

Source: Production Planning & Control

DOI: 10.1080/09537287.2016.1267411

Authors: Shahriar Akter, Samuel Fosso Wamba, Saifullah Dewan

Institutions: University of Wollongong, Université de Toulouse, University of Canberra

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W2735855334

FWCI: 13.01

Cites: 115

Cited by: 479

Related to: 10