Background: Cross-discipline team collaboration between the project ownership team, design team and project delivery team is central to effective management of risk, uncertainty and ambiguity. A recently-developed framework that was developed to provide a visualisation tool to enable various...

The governance of public sector infrastructure projects became an important topic of interest in the project, program, and portfolio management literature during the last decade. Today, it is becoming a central focus for policymakers seeking to ensure success in selecting, designing, and...

The United Nations' (UN) Sustainable Development Goals (SDGs) aim to deliver an improved future for people, planet and profit. However, they have not gained the required traction at the business and project levels. This article explores how engineers rate and use the SDGs at the organisational...

Societal development is increasingly undertaken as major public projects in different sectors. Project governance is important for strategically successful outcomes; thus, a broad societal perspective should be kept throughout the governance process. State ownership exists in many forms, and...

This paper develops a model for the assessment of the maturity of the compliance function of investment firms. The model indicates a path of evolution wherein the compliance function matures from being reactive and inconsistent to becoming a proactive and integrated part of a firm's business...

This paper sets out to explore the hedging capabilities of bitcoin by applying the asymmetric GARCH methodology used in investigation of gold. The results show that bitcoin can clearly be used as a hedge against stocks in the Financial Times Stock Exchange Index. Additionally bitcoin can be used...

This paper studies the risk management of central counterparties (CCPs) using a granular transaction-level dataset. We test whether margining practices are sufficient relative to portfolio risk and whether CCPs reduce margin requirements in a ‟race-to-the-bottom." We find that, for some...

This study explores the significance of two determinants: Supply Chain Capabilities and Supply Chain Visibility, in the intricate interplay among Supply Chain Resilience, Supply Chain Performance, and Firm Performance. A dataset comprising 221 participants from Vietnamese garment manufacturing...

Using variance decompositions in vector auto-regressions (VARs) we model a high-dimensional network of European CDS spreads to assess the transmission of credit risk to the non-financial corporate sector. Our findings suggest a sectoral clustering in the CDS network, where financial institutions...