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Abstract
This paper proposes the Analytic Hierarchy Process (AHP) as a tool to rank different critical success factors (CSFs) for construction projects in Lithuania. Considering the current lack of understanding of CSFs within the local context, this study is one of the first attempts to gain an understanding of the CSFs in the local industry. Our study revealed that, for construction projects in Lithuania, clear and realistic project goals, project planning, the project manager's competence, relevant past experience of the project management/team, the competence of the project management/team, clear and precise goals/objectives of the client, the project's value, the project's complexity and uniqueness, the project manager's experience, and the client's ability to make timely decisions are the top-ranking CSFs. In view of these findings, the study highlighted the key areas for successful implementation of construction projects in Lithuania.
Additional information
Notes on contributors
Neringa Gudienė
Neringa GUDIENĖ. A PhD student in the Department of Construction Economics and Property Management at Vilnius Gediminas Technical University. Her research interests include construction project performance, critical success factors, multiple criteria decision making.
Audrius Banaitis
Audrius BANAITIS. Associate Professor in the Department of Construction Economics and Property Management at Vilnius Gediminas Technical University. His research interests include project/risk management and project success, property management, sustainability and construction industry development, multiple criteria decision making: applications in construction.
Valentinas Podvezko
Valentinas PODVEZKO. Professor in the Department of Mathematical Statistics at Vilnius Gediminas Technical University. He is an author of more than 120 publications. His research interests include decision-making theory, expert systems, mathematical methods in modelling socio-economic, technological and engineering processes, hierarchical structuring of complex entities, sampling and forecasting models, simulation and stability of mathematical models.
Nerija Banaitienė
Nerija BANAITIENĖ. Associate Professor in the Department of Construction Economics and Property Management at Vilnius Gediminas Technical University. Her research interests include project/risk management, total quality management, building life cycle analysis, multiple criteria decision making: applications in construction.