Enhancing Objectivity in Consultant Pre-selection: A Multi-Criteria Model

Enhancing Objectivity in Consultant Pre-selection: A Multi-Criteria Model

This abstract outlines a study focused on improving the objectivity of consultant pre-selection. The chapter structure is as follows:

1. Background Introduction: This section highlights the significance of effective consultant pre-selection and acknowledges the potential for subjective biases arising from varying client criteria and priorities.

2. Objective: The primary aim is to develop a more objective framework for evaluating the general capabilities of consultants during the pre-selection phase.

3. Method: A questionnaire survey was conducted, targeting both clients responsible for pre-selecting consultants and the consultants themselves. This survey aimed to understand the perceived importance of various pre-selection criteria (CPC).

4. Results: The survey findings indicate a strong consensus between clients and consulting groups regarding the significance of specific pre-selection criteria.

5. Proposed Model: Based on the research findings, a multi-criteria model is proposed to facilitate a more structured and objective evaluation of consultants' general capabilities during pre-selection.

6. Conclusion: The proposed model enables clients to generate individual candidate scores, allowing them to identify and shortlist the most suitable engineering consultants for a given consultancy assignment.

This abstract emphasizes the importance of addressing subjectivity in consultant pre-selection. Through a comprehensive questionnaire survey and the development of a practical multi-criteria model, this study aims to equip clients with the tools necessary to accurately assess consultant capabilities and make well-informed selection decisions.