Partial Least Squares Structural Equation Modelling To Determine The Effect Of Some Selected Factors On Business Performance

Section: Research Paper
Issue
Vol. 21 No. 2 (2024): Volume 21 Issue 2
Published
Jun 25, 2025
Pages
135-152

Abstract

Partial Least Squares Structural Equation Modeling (PLS-SEM) has gained popularity as a method for estimating (complex) path models with latent variables and their relationships. In a research study conducted in Abuja, SmartPLS 4 software was used to investigate the effects of selected factors on business performance and growth in four major markets: Garki Market, Wuse Market, Deidei Market, and Kado Fish Market. The study involved business owners engaged in retail, supplies, distribution, or wholesale in these markets. Questionnaires on factors affecting business performance and growth were distributed among the business owners, and their responses provided demographic data and information on latent variables. The analysis revealed that individuals, family, business environment, financial institutions, and government significantly influence the business performance and growth of business owners.

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Authors

JAMES OLASUNKANMI OLADAPO

LADOKE AKINTOLA UNIVERSITY OF TECHNOLOGY, OGBOMOSO,OYO STATE, NIGERIA

ORCID
Ahmed. I
ORCID
Okafor S.C
Maijamaa B

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OLASUNKANMI OLADAPO, J., جيمس, I, A., احمد, S.C, O., أوكافور, B, M., & ميجاما. (2025). Partial Least Squares Structural Equation Modelling To Determine The Effect Of Some Selected Factors On Business Performance. IRAQI JOURNAL OF STATISTICAL SCIENCES, 21(2), 135–152. Retrieved from https://rjps.uomosul.edu.iq/index.php/stats/article/view/21005