Xiaopeng Deng

TL;DR: In this paper, the authors identify critical variables associated with political risk management in international construction projects and analyze their rankings and underlying relationships, and identify the relative importance and groupings of these variables.

TL;DR: In this article, the variables affecting the project system vulnerability to political risks in international construction projects are explored and a questionnaire survey was conducted and 138 responses were received. But the study focused on the vulnerability of international construction project systems to political risk.

TL;DR: In this paper, the authors presented a conceptual model for selecting the best supplier based on a sustainability framework in megaprojects and employed the Grey systems theory (GST) to consider multiple ranks for criteria and alternatives in the OPA method.

TL;DR: This study evaluates the applicability of identified challenges and barriers based on a sustainability perspective and shows that DLT implementation needs i) infrastructure for data management, ii) advanced applications and archetypes, and iii) customers’ demand, interest, and tendency.

TL;DR: The present study seeks to provide a comprehensive framework for the decision-making process using big data, even when it is incomplete, and identifies the best alternative in the top cluster with the aid of the OPA, which has a unique function to solve MCDM problems with incomplete data.