THE ROLE OF NATIONAL INTELLECTUAL CAPITAL IN HOUSING IN NIGERIA: DEVELOPING USTAINABILITY ENHANCEMENT MODEL USING STRUCTURAL EQUATION MODEL(SEM) AND PARTIAL LEAST SQUARE REGRESSION(PLS)
Abiola Olanrewajua, Jamila Jaganjacb
a University Vitez, Bosnia and Herzegovina, jamila.jaganjac@unvi.edu.ba
b University Vitez, Bosnia and Herzegovina
Abstract
Nigeria has seen a litany of failed attempts to address the myriad of housing problems, particularly during the period of military dictatorship that spanned the 1960s and 1990s. In a similar vein, the civilian government that took office in the late 1990s inherited a serious problem of housing inadequacy as a result of years of neglect, an underdeveloped housing finance system, limited long-term finance, high interest rates on mortgages, high cost of land acquisition, building materials, poor planning of housing policies, programs, administrative bottlenecks that make processing and securing building approvals, Certificates of Occupancy, and other documents difficult. Unlocking the housing conundrum in Nigeria requires new thinking from the realm of a knowledge economy. Thus, it is imperative to leverage on reducing the housing gaps and inequality from the intellectual capital perspective, especially national process capital / institutional dimensions and national social capital/ socio-cultural dimensions. The thrust of this paper is developing a structural model for sustainability enhancement in housing. It is against this backdrop that the study will adopt the use of a Structural Equation Model (SEM) and the Partial Least Square Regression (PLS) to develop a sustainability enhancement model for Housing in Nigeria. Key emphasis is on Public Private Partnership and Critical Project Management Success Factors as enablers.
Keywords: Housing, Sustainability, Intellectual Capital, Structural Equation Model, Partial Least Square Regression
To be cited as: Olanrewaju, A. and Jaganjac, J. (2025) The role of national intellectual capital in housing in Nigeria: Developing sustainability enhancement model using structural equation model (SEM) and partial least square regression (PLS). International Journal of Management Courses, 27(1), pp. 1-14.