@article{lockamy_mccormack_2012, title={Modeling supplier risks using Bayesian networks}, volume={112}, number={1-2}, journal={Industrial Management & Data Systems}, author={Lockamy, A. and McCormack, K.}, year={2012}, pages={313–333} }
 @article{lockamy_mccormack_2010, title={Analysing risks in supply networks to facilitate outsourcing decisions}, volume={48}, ISSN={["1366-588X"]}, DOI={10.1080/00207540903175152}, abstractNote={In an effort to achieve a competitive advantage via cost reductions and improved market responsiveness, organisations are increasingly employing outsourcing as a major component of their supply chain strategies. However, as organisations increase their dependence on the suppliers of outsourced raw materials and components, they become more susceptible to their risk profiles. Supplier risk profiles are comprised of risk events which are associated with the supply network, internal operations, or external factors. Suppliers with a high probability of risk event occurrences can have a substantial impact on an organisation's revenue stream. Thus, it is essential that organisations have the means to analyse the risks associated with a supplier of outsourced materials. This article presents a methodology for analysing risks in supply networks to facilitate outsourcing decisions. The methodology includes the development of a risk profile for a given supplier through the creation of Bayesian networks. The networks are used to analyse a supplier's external, operational and network risk probabilities, and the associated revenue impact on the organisation. The methodology can be used by supply chain professionals to facilitate outsourcing decisions with either current or prospective suppliers.}, number={2}, journal={INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH}, author={Lockamy, Archie, III and McCormack, Kevin}, year={2010}, pages={593–611} }
 @article{mccormack_ladeira_de oliveira_2008, title={Supply chain maturity and performance in Brazil}, volume={13}, DOI={10.1108/13598540810882161}, abstractNote={Purpose – The purpose of the paper is to investigate the relationship between supply chain maturity and performance, with specific references both to the business process orientation maturity model and to the supply chain operation reference model.Design/methodology/approach – Quantitative, survey based research was carried out with 478 Brazilian companies. Statistical analysis combined the use of descriptive statistics and structural equation modeling.Findings – Empirical results indicate a strong and positive statistical relationship between supply chain maturity and performance. The results also suggest that the deliver process maturity has a higher impact on overall performance than the other supply chain processes.Research limitations/implications – Quantifying supply chain maturity and performance is an opportunity for a company to align its performance measurements and process improvement actions with its broader policies and strategies. The use of this approach has been validated in several previo...}, number={4}, journal={Supply Chain Management}, author={McCormack, K. and Ladeira, M. B. and De Oliveira, M. P. V.}, year={2008}, pages={272–282} }
 @book{r. r. handfield_mccormack_2008, title={Supply chain risk management: Minimizing disruptions in global sourcing}, ISBN={0849366429}, publisher={New York: Auerbach Publications}, year={2008} }