Purpose: This paper aims to identify the importance of individual variables in the corporate real estate (CRE) decision-making process. Design/methodology/approach: Nine experts received a posed scenario of a changed business strategy requiring a CRE reduction in individual interviews. Based on their suggested response, a decision network was modelled for each expert using the causal network elicitation technique, incorporating the utilities for decision variables and importance weights for attributes and benefits. The decision model offers a graphical representation of decision-benefit links for the decisions CRE managers make in such a period of decline. Findings: Perceived facilitators of CRE dynamic alignment were identified by calculat...