TY - JOUR
T1 - Unrealistic Project Goals: Detection and Modification
T2 - Detection and Modification
AU - Asadabadi, Mehdi Rajabi
AU - Zwikael, Ofer
PY - 2024/3
Y1 - 2024/3
N2 - Determining whether to invest in a project is a complex and challenging decision. This project investment decision relies heavily on its promised strategic goals (i.e., target benefits) stated in its business case and which are expected to be realized following project completion. However, in many cases, the proposed project benefits are far greater than those that the project realistically can achieve, leading to the risk of projects being funded erroneously. The construction management literature has offered approaches such as reference class forecasting (RCF) to rectify unrealistic project estimates. This paper identifies weaknesses in the current approaches, exposes their inefficiency, and proposes a step-by-step stratified approach as an effective alternative to detect, measure, and rectify unrealistic estimates of project benefits, and utilizes the proposed approach on a light rail construction project. The contribution of this approach is that each project benefit target can be rectified differently, based on the measurable levels of deviation from more-realistic estimates. This paper advances the construction management literature by enabling managers to set realistic project goals in the project front end, increase the reliability of estimates in the project business case, and improve the quality of project investment decisions.
AB - Determining whether to invest in a project is a complex and challenging decision. This project investment decision relies heavily on its promised strategic goals (i.e., target benefits) stated in its business case and which are expected to be realized following project completion. However, in many cases, the proposed project benefits are far greater than those that the project realistically can achieve, leading to the risk of projects being funded erroneously. The construction management literature has offered approaches such as reference class forecasting (RCF) to rectify unrealistic project estimates. This paper identifies weaknesses in the current approaches, exposes their inefficiency, and proposes a step-by-step stratified approach as an effective alternative to detect, measure, and rectify unrealistic estimates of project benefits, and utilizes the proposed approach on a light rail construction project. The contribution of this approach is that each project benefit target can be rectified differently, based on the measurable levels of deviation from more-realistic estimates. This paper advances the construction management literature by enabling managers to set realistic project goals in the project front end, increase the reliability of estimates in the project business case, and improve the quality of project investment decisions.
KW - Business case
KW - Project investment decision
KW - Project target benefits
UR - http://www.scopus.com/inward/record.url?scp=85181164204&partnerID=8YFLogxK
U2 - 10.1061/JCEMD4.COENG-13665
DO - 10.1061/JCEMD4.COENG-13665
M3 - Article
AN - SCOPUS:85181164204
SN - 0733-9364
VL - 150
JO - Journal of Construction Engineering and Management
JF - Journal of Construction Engineering and Management
IS - 3
M1 - 04023166
ER -