Abstract
Purpose: This paper aims to develop a framework for the selection of private partners in the housing industry of Saudi Arabia under the scheme of the partnership between the public and private sectors. Design/methodology/approach: By investigating criteria from a comprehensive literature review and experts input through surveys, developing further surveys incorporating decision-making methods: analytic hierarchy process (AHP) and multi-attribute utility theory (MAUT) to construct a framework for selection based on weightages and utilities. Findings: The results identified criteria categorized under four categories: financial (C1), technical (C2), managerial (C3) and safety/environment (C4) and their sub-criteria. The study found that the main criteria were relatively close to each other in importance based on the subjective input of the experts with the technical and safety/environment criteria tying equally with 27% followed by the managerial with 24% and trailed by the financial with 22%. Research limitations/implications: The study and surveys were conducted for the Saudi market and the experts were within the country. Originality/value: The study contributes to the Saudi housing initiative which is a part of the 2030 Vision and provides insight to international investors who would be willing to invest in the Saudi market; and to the literature as there is a notable lack of study on public-private partnership in housing in Saudi Arabia.
| Original language | English |
|---|---|
| Pages (from-to) | 112-140 |
| Number of pages | 29 |
| Journal | Journal of Financial Management of Property and Construction |
| Volume | 27 |
| Issue number | 1 |
| DOIs | |
| State | Published - 18 Feb 2022 |
Bibliographical note
Publisher Copyright:© 2021, Emerald Publishing Limited.
Keywords
- Analytical hierarchy process
- Decision-making
- Housing
- Multi attribute utility theory
- Public-private partnerships
- Saudi Arabia
ASJC Scopus subject areas
- Business and International Management
- Accounting
- Finance
- Economics and Econometrics