KING FAHD UNIVERSITY OF PETROLEUM & MINERALS COLLEDGE OF GRADUATE STUDIES

1. KING FAHD UNIVERSITY OF PETROLEUM & MINERALS COLLEDGE OF GRADUATE STUDIES CONSTRUCTION ENGINEERING AND MANAGEMENT For Dr. Sadi A. Assaf A Conceptual Model for Consultant Selection in Saudi Arabia By MUBARAK FARAJ SAEED AL-BESHER December, 1998 Summarized By Mohammed-Ali Al-Khunaizi December 25, 2004

2. CONTENT • Introduction • Literature Review • A/E Selection Criteria • Research Methodology • Data Results & Analysis • Development CCSM Model • Conclusion & Recommendations

3. Introduction • Need for A/E prequalification • Statement of the Problem • Objectives: • Selection Criteria • CCSM Model • Limitation of the Research • Research Significance

4. Literature Review • Al-Shiha (1993): A/E poor selection criteria affects the design, construction stages and maintenance cost. • Aitath (1988): Projects in Saudi Arabia are awarded on basis of lowest bid (usually, low performance quality) • All mentioned researches have one common objective: “Shortlist the competing A/Es and select only capable A/Es having the proper qualification.”

5. The Selection Methods • Direct Selection Method • Competitive Selection Method - Fee selection - Design competition • Comparative Selection Method Source: Al-Musallami 1992

6. Saudi Consulting Organizations

7. Consultant Selection Criteria 01) Current Work Load 02) Experience 03) Economic Constraint 04) Quality Control 05) Experience in Geographic Location 06) Firm Capacity 07) Firm Organization 08) Staff Availability and Qualifications 09) Head Office Location 10) Project Management Capabilities 11) Reference 12) Past Performance 13) Quality Performance

8. Research Methodology • Data Collection and Survey • Scoring Method • Sample Size

10. Data Results & Analysis (Public Sector) The confidence coefficient is 95%

11. Data Results & Analysis (Consultant opinions) The confidence coefficient is 95%

12. Recommended A/E Selection Criteria 01) Current Work Load 02) Experience 03) Economic Constraint 04) Quality Control 05) Experience in Geographic Location 06) Firm Capacity 07) Firm Organization 08) Staff Availability and Qualifications 09) Head Office Location 10) Project Management Capabilities 11) Reference 12) Past Performance 13) Quality Performance

13. Recommended A/E Selection Criteria The correlation coefficient (rs) is 0.8242 The critical test value (t0.05) is 0.5549

14. No List Selection Criteria Add and Modify Additional Criteria Are They The Major and Common Criteria? List Prospective A/Es Pre-qualify for A/Es Short list Apply AHP Model Conduct Pairwise Comparison Test for Consistency No Yes Synthesis for Priorities Rank A/Es Select A/Es Negotiate & Agree with Selected A/E No Yes Sign A Contract A/E Consultant Conceptual Selection Model (CCSM)

15. Conclusion • Selection method is varied from one public sectors to another. • The existence selection methodology is not helping the Saudi public sector to choose a consistent, an effective, an effective and well-defined A/E services. • There was strong agreement between the public sector and consultants in ranking the mentioned criteria. • Economic Constraint, Experience in Geographic Area and Head Office Location are not applicable issues in Saudi public sector. • CCSM Model is useful in comparing prospective A/Es in terms of selection criteria. • The implementation of CCSM is consistent, flexible, practical, and effective selection for selecting a qualified A/E.

16. Recommendations & Future Studies Recommendations Reasons for using CCSM Model: • CCSM Model is a standard method • Fast but accurate in evaluation • Flexible: modification while holding the quality • Handling single & group judgments Future Studies • Sub-criteria research • Further studies on A/E • Any “Contract” should be studied to have standards • Classification of A/E based on quality & ability • Similar selection model for private sector

17. Q & A