At universities worldwide, creating a 'smart campus' is gaining significance. This is a response to the increasingly dynamic use of the campus and the pressure on resources: energy, financial and human resources. The university community has become more mobile, student numbers more unpredictable and funding more uncertain. Consequently, campus strategies focus on resource efficiency and sharing space, requiring investment in management information to improve decision making. The Internet of Things (IoT) can help to provide big data about use patterns: by collecting real-time data on space utilization, users can make better use of current spaces and real estate managers can make better decisions about long-term demand. Furthermore, space utilisation data can be complemented with user feedback data and environmental variables, e.g. noise levels, luminance. In this research we identify the capabilities of existing IoT applications through a literature study. Literature also suggests that information from IoT applications is not utilized in organisational decision-making processes. Through four case studies we analyse these decision-making processes and identify the process-level requirements to make strategic decisions in campus management. Then we show how information from the IoT can be directly connected to these processes, thus providing a valuable addition of real-time data as input.

Purpose-The objective of corporate real estate management is to optimally attune corporate accommodation to organisational performance. At universities, the dynamic process to match supply and demand is often hindered by difficulties in the allocation and use of space. This is a challenge for the Dutch universities and perhaps also European universities, which own large and ageing real estate portfolio's in need of (re)investment: how can universities invest their resources as effectively as possible and not in space that will be poorly used? The purpose of this paper is to explore the use of smart campus tools to improve space use on campus. Design/methodology/approach-First, a survey at 13 Dutch universities is conducted, consisting of a questionnaire and semi-structured interviews with Dutch campus managers. Then, semi-structured interviews are held with a number of parties in other industries to explore the use of smart tools in other contexts. Findings-The universities' demand for smart tools is mainly directed at the automatic and continuous collection of real-time space use data for education spaces and giving students insight into the availability of study places on campus. The tools at the Dutch universities focus largely on effectiveness: helping their users in their search to find a space that supports their activities. In other industry sectors, the results suggest that the use of smart tools is more directed towards efficiency: maximizing the use of existing space or optimising the operations of the organisation. Originality/value-Although the use of smart tools in practice has gained significant momentum in the past few years, research on the subject is still sparse. By providing a framework for smart tools, as well as exploring the work done in theory and in practice, the authors hope to increase discussion and research on the subject from the perspective of corporate real estate.

Purpose The purpose of this study is to generate knowledge about the use of smart campus tools to improve the effective and efficient use of campuses. Many universities are facing a challenge in attuning their accommodation to organisational demand. How can universities invest their resources as effectively as possible and not in space that will be poorly utilized? The hypothesis of this paper is that by using smart campus tools, this problem can be solved. Design/methodology/approach To answer the research question, previous survey at 13 Dutch universities was updated and compared with a survey of various universities and other organizations. The survey consisted of interviews with structured and semi-structured questions, which resulted in a unified output for 27 cases. Findings Based on the output of the cases, the development of smart campus tools at Dutch universities was compared to that of international universities and other organizations. Furthermore, the data collection led to insights regarding the reasons for initiating smart campus tools, user and management information, costs and benefits and foreseen developments. Originality/value Although the use of smart tools in practice has gained significant momentum in the past few years, research on the subject is still very technology-oriented and not well-connected to facility management and real estate management. This paper provides an overview of the ways in which universities and organizations are currently supporting their users, improving the use of their buildings and reducing their energy footprint through the use of smart tools.

PurposeAcross the world, many universities are dealing with a pressure on resources, caused by both organisational developments and ageing campuses. Space utilization studies have a strategic role, providing information on how space is being used, thereby informing decisions about the type and scale of facilities that are needed.Design/methodology/approachThis study reports on the space use measurements conducted at TU Delft over the past five years, complemented by their use to make decisions about the university's real estate portfolio.FindingsThe education spaces of the university are found to perform well in terms of frequency rates and can be improved in terms of occupancy rates. The information helped to support short- and long-term decision-making. The study places of the university have a satisfactory occupancy in some types of study places, while in others there is room for improvement. More research is needed here to understand the relationship between space norms and space use.Practical implicationsThe space utilization studies have supported discussions with the student council and decision makers on which interventions are required and which current facilities meet students' needs best.Originality/valueNot much space utilisation studies are reported in the academic literature, and those that do have several limitations. This study may serve as a best practice for benchmarking by other universities and as evidence in other research for the planned and actual use of university facilities.

Purpose – This paper aims to describe the development and test of such a design method to achieve alignment, which utilises the preference-based accommodation strategy (PAS) design procedure. One of the long-standing issues in the field of corporate real estate management is the alignment of an organisation’s real estate to its corporate strategy. A classification of alignment models shows that no model yet exists that is able to design a real estate portfolio and makes use of scales for direct measurement of added value/preference, and allows the aggregation of individual ratings into an overall performance rating. Design/methodology/approach – To perform the steps in the PAS design procedure, a mathematical model is designed and tested according to formal design principles. The PAS design procedure is iteratively repeated with the participants in a series of interviews and workshops. In the interviews, the participants determine their preferences and constraints as prescribed in the procedure; in the workshops, they design alternative portfolios using the mathematical model. The objective of the research is to formulate, test and evaluate if participants are able to perform the PAS design procedure. Findings – A methodology is developed for designing a real estate strategy that uses explicit scales for measuring value/preference and enables aggregating individual preference ratings into an overall rating taking into account both quantitative and qualitative portfolio properties. The tests of this design method with the participants reveal that by completing the steps in the PAS design procedure, users are able to determine their preferences accordingly. They were also able to design an alternative portfolio with a higher overall preference score than the current real estate portfolio. In addition, the design method is evaluated positively by the participants based on their experiences, the attractiveness of the method and perception of effectiveness of the method. Research limitations/implications – The positive results suggest that designing a strategy by using the PAS design procedure is a suitable approach to alignment. Practical implications – The PAS design procedure enables corporate real estate (CRE) managers to determine the added value of a real estate strategy. Because the PAS design method is generic, it can be used for a wide range of real estate portfolios. Originality/value – The first CRE alignment model uses stakeholders preferences to design a more optimal real estate strategy.