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Board members and real estate managers (decision makers) play an important role in the decision-making process in nursing home organisations. This study aims to provide an understanding of underlying attributes and benefits sought by decision makers when making nursing home real estate decisions.

Decision makers from seven different nursing home organisations in The Netherlands were interviewed using the laddering technique to determine the individual requirements, the considerations of the decision alternatives, the relevant attributes and benefits and their mutual relationships.

This study details the motivations behind real estate management decisions in nursing home organisations. The findings show that apart from financial considerations, decision makers strive to enhance the quality of life and satisfaction of users with their real estate decisions and seek to include residents and employees in the process. These benefits are connected to the goals of well-being and innovation in health care. Furthermore, functionality, physical and functional flexibility and technology are key considerations when undertaking corporate real estate (CRE) decisions, to ensure that real estate management aligns with the strategic goals of the nursing home organisation.

The insights of this study can support decision makers in healthcare facilities to create strategic value with their real estate. Understanding how to obtain certain benefits from nursing home real estate may result in a better realisation of organisational objectives and user needs.

This study reveals the decision-making process in a nursing home context. Moreover, the laddering technique is used as a new method to explore and gain a deep understanding of CRE decision-making processes.

The purpose of this paper is to identify the variables that influence corporate real estate (CRE) decision-making and gauge their relative importance to each other, thereby understanding the consequent challenges/implications for CRE managers (CREM’s).

Interviews were undertaken with experienced CREM’s using the causal network elicitation technique to create decision networks for the variables they considered for the specifically defined scenario: dealing with surplus property from a change of business strategy. These networks illustrate the complexity of the mental representations required for the realignment of the CRE portfolio. The key variables are more extensive than alignment theory suggests, namely, financial stakeholders. Additional variables identified include risk, lease accounting, costs, financial analysis, business metrics and motivational drivers. The latter indicates the importance of self-esteem and peer recognition for CREM’s and financial benefits for the C-suite. Accordingly strategy alignment needs to incorporate CRE both in terms of strategy creation and implementation.

These networks illustrate the complexity of the mental representations required for the realignment of the CRE portfolio. The key variables are more extensive than alignment theory suggests, namely, financial stakeholders. Additional variables identified include risk, lease accounting, costs, financial analysis, business metrics and motivational drivers. The latter indicates the importance of self-esteem and peer recognition for CREM’s and financial benefits for the C-suite. Accordingly, strategy alignment needs to incorporate CRE both in terms of strategy creation and implementation.

This research appears to be the first that looks in detail at the mental representations used by decision-makers while making CRE decisions.

This paper aims to identify the importance of individual variables in the corporate real estate (CRE) decision-making process.

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.

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.

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.

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.

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.

The purpose of this article is to aid conceptualization of social well-being at work by identifying its components in a contemporary office context, so adequate measures can be developed to monitor social well-being and to assess the impact of interventions in the workplace.

This study used existing interview data from recent post-occupancy evaluations of two large activity-based flexible offices in the Dutch public sector. Data-driven concept mapping of 182 different employees' statements on social aspects of well-being was used to find communalities in their perceptions.

From the data 14 key concepts emerged referring to employees' social needs, reactions to (anti-)social behaviour of others and perceived social affordances of the work environment. Contrary to established theory, social well-being appeared to be a context-bound phenomenon, including components of both short-term hedonic and long-term eudaimonic well-being.

The findings serve as an inductive source for the further development of adequate measures of social well-being at work. Limitations concern the specific (cultural) setting of the cases and the use of existing data.

Preliminary suggestions for fostering social well-being include change management, participatory design, being alert of the identified risks of activity-based offices and supporting privacy regulation, identity marking and a sense of community, as well as a diversity of informal face-to-face interactions balanced with quiet spaces.

This article contributes to the conceptualization of social well-being in contemporary offices by discussing established social well-being theory and analysing real-world data, using a method novel to management research.

The purpose of this study is to explain the contribution of Corporate Real Estate Management (CREM) to corporate success and to substantiate it empirically. However, no empirically tested holistic concept classifies and explains the different success contributions of CREM in their mechanisms of action and organisational levels.

This study develops a holistic two-dimensional model from existing literature to explain the relationship between CREM decisions and business success, and then tests it empirically using multidimensional data scaling from a telephone company survey (CATI) of 59 CREM managers sampled from the 200 largest German companies.

The created theoretical model holistically explains CREM success and existence as part of a non-property company, with specific performance drivers on specific organisational levels. The empirical data confirm that both dimensions of the model and, thus the measurement concept for modelling the CREM contribution to business success is robust across sectors and company/portfolio size in Germany.

The empirical confirmation of the conceptual model of CREM success provides novel support for the institutionalisation of the CREM function in companies and the holistic classification of different CREM research directions.