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 calculating lift ratios on their perceived importance of the attributes they mentioned during the interviews as nodes in the network that link decisions to benefits. Facilitators included CRE metrics and workplace strategy, while capital expenditure and landlords inhibit alignment processes. The research provides more granular insight into the variables used in CRE decision-making and the factors that facilitate or inhibit the dynamic alignment process.

Research limitations/implications

The research set a specific scenario for the experts to consider. That could be regarded as small but there was clear evidence of saturation of expert knowledge. Additional face-to-face interviews with the experts may have generated further details on the thought processes of the experts.

Practical implications

The research provides more granular insight into the variables used in CRE decision-making and the factors that facilitate or inhibit the dynamic alignment process. Thereby providing CRE decision-makers with key elements for a decision model.

Originality/value

The research technique, causal network elicitation technique, uses semi-structured interviews to create decision networks, which is a technique that has not been widely applied to CRE research. The research provides a granular view of what are important inhibitors or facilitators of dynamic alignment of CRE to business strategy.

中文翻译：

---

企业房地产动态调整的抑制因素和促进因素

目的

本文旨在确定单个变量在企业房地产 (CRE) 决策过程中的重要性。

设计/方法/方法

九位专家收到了一个改变业务战略的假设场景，需要在个人访谈中减少 CRE。根据他们建议的响应，使用因果网络启发技术为每个专家建模决策网络，结合决策变量的效用和属性和收益的重要性权重。决策模型为企业房地产经理在这种衰退时期做出的决策提供了决策-收益联系的图形表示。

发现

通过计算提升比率来确定 CRE 动态对齐的感知促进者，他们在访谈中提到的属性的感知重要性是网络中将决策与收益联系起来的节点。促进因素包括 CRE 指标和工作场所战略，而资本支出和房东则阻碍了协调过程。该研究提供了对 CRE 决策中使用的变量以及促进或抑制动态对齐过程的因素的更详细的洞察。

研究限制/影响

该研究为专家们设定了一个特定的场景。这可以被视为很小，但有明确的证据表明专家知识已经饱和。与专家的额外面对面访谈可能会产生有关专家思维过程的更多细节。

实际影响

该研究提供了对 CRE 决策中使用的变量以及促进或抑制动态对齐过程的因素的更详细的洞察。从而为 CRE 决策者提供决策模型的关键要素。

原创性/价值

因果网络启发式研究技术使用半结构化访谈来创建决策网络，这是一项尚未广泛应用于 CRE 研究的技术。该研究提供了关于什么是重要的抑制因素或促进因素的详细视图，即 CRE 与业务战略的动态调整。