1,530
Views
27
CrossRef citations to date
0
Altmetric
Original Articles

A conceptual framework for studying customer satisfaction in residential construction

Pages 171-182 | Received 04 Jan 2006, Accepted 25 Apr 2006, Published online: 28 Feb 2007
 

Abstract

A conceptual framework for studying customer satisfaction in Australian residential construction is developed using marketing theory merged with construction concepts. The framework aims to act as a stepping stone for determining how empirical data from real residential construction situations and real customers, fits marketing theory. To this end, customer satisfaction is modelled as a gap between two constructs: pre‐purchase expectations and purchase perceptions. A parallel marketing concept known as the purchase decision process is used to model identifiable inputs to the two constructs, thus creating the ability to model different customer profiles. The purchase decision process is adapted to suit residential construction and can be described as: housing needs recognition, search for tenders, evaluation of competing contractors, signing of contracts, progressive construction outcomes and practical completion outcomes. The first four contribute to pre‐purchase expectations and the remainder to perceptions of what is actually provided. Service quality, product quality and price are modelled as features that manifest consistently during the purchase decision process and therefore in pre‐purchase expectations and purchase perceptions, as well. Future research aims to develop a grounded model of customer satisfaction in residential construction.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 592.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.