Affiliation:
1. The Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, 03224 Vilnius, Lithuania
2. Department of Law, Business Management Faculty, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania
Abstract
In sustainable economic development, top-level human capital, especially project management, is paramount. This article integrates the Systematic Hierarchical Attribute Ratio Delphic Rating (SHARDA) method and the Additive Ratio Rating (ARAS) method as a robust framework for identifying and training project managers. The research draws on a diverse panel of experts against the United Nations Sustainable Development Goals (SDGs) backdrop, emphasising stakeholder engagement and transparency in the decision-making processes. This study investigates the complexity of multi-criteria decision-making (MCDM) methods and focuses on SWARA and ARAS methods. These methodologies comprehensively improve the decision-making process, considering a range of subjective criteria. The extended and modified hierarchical SWARA method helps us understand each measure’s importance, while the ARAS method simplifies ranking and selection based on performance ratios. The research methodology seamlessly integrates these methods to form the SHARDA–ARAS methodology that addresses the challenging task of selecting project managers for sustainable development. This methodology guarantees a systematic and inclusive decision-making process, incorporating stakeholder perspectives seamlessly aligned with global sustainability goals. The studio’s innovation is wrapped in the synthesis of SWARA and ARAS into the SHARDA–ARAS methodology, presenting a nuanced and effective tool for project manager selection. Promoting an interconnected and holistic approach that contributes to sustainable development emphasises the methodology’s ability to balance economic, environmental, and social aspects. Thus, the article provides an invaluable method for organisations seeking global sustainable economic development.
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)