Construction Client Satisfaction Model

Real Estate is one of the major sectors, responsible for growth of economy in India. It generates employment, mobilizes resources etc. The author has used Partial Least Squares Structural Equation Modelling (PLS-SEM) to evaluate and forecast client satisfaction in the Indian construction sector. Using a sample of 236 individuals, the study focuses on the characteristics of behavioural intents, tangibles, empathy, responsiveness, assurance, and dependability. Based on demographic data, the profile of respondents is diversified, encompassing a wide range of age groups, educational backgrounds, occupations, and work experience levels. The examination of the measurement model reveals strong internal consistency and reliability for every concept, verifying the appropriateness of the chosen measurement tools. Every construct is validated as unique by the discriminant validity analysis. Turning now to the structural model, the R Square value of 0.602 indicates that the predictors account for 60.2% of the variability in Construction Client Satisfaction (CCS). A considerable contribution to the explanation of CCS variation is made by the model that includes Behavioural Intentions, Responsiveness, Assurance, Tangibles, Empathy, and Reliability (F = 57.886, p

Customer satisfaction · Discriminant validity · Partial least squares regression · Structural equation modeling · Construction Project Management and Performance · Customer Service Quality and Loyalty · Facilities and Workplace Management

• Building Construction Clients’ Design Consultant and Contractor Selection Criteria Versus Post-Occupancy Satisfaction Levels

  Open Access•Mehmedali Egemen•SAGE Open•2022

  Add to list