Author
Listed:
- Rein van den Bosch
(TU/e - Eindhoven University of Technology [Eindhoven])
- Paul Grefen
(TU/e - Eindhoven University of Technology [Eindhoven])
- Gijs Spiele
(TU/e - Eindhoven University of Technology [Eindhoven])
- Toine van Vliet
(TU/e - Eindhoven University of Technology [Eindhoven])
Abstract
This report presents three business models for smart, data-driven safety and security management at an institution for higher education. The business models focus on physical safety and the perceived sense of safety by the community members of the institution as an essential value to maintain an academic campus environment at a high level of quality. In the traditional definition, physical safety can be described as the protection of people and their environment against damage or injury, caused by accidents or causes of non-human origin such as fire or floods. In this report, we make use of this definition, only replacing non-human origins by human-origins as causes for damage or injury to people and their environment, such as assault. The institution, like many others, is part of an international ecosystem which faces developments with an increasingly negative impact on safety and the perceived sense of safety. Like other institutions, it also faces budget cuts. To counter the dilemma of addressing the negative trend while dealing with budget cuts, an effort is made in the context of a larger Smart Campus initiative at the institution level to improve (the perceived sense of) safety with a data-driven management approach. This data-driven approach is based on fusing operational and tactical safety and security data with real-time data acquired from sensors that describes the actual usage of buildings, lecture halls and meeting rooms. Three business models describe the value of this data-driven approach from the perspective of different stakeholder types: students, employees, and the institution as a whole (represented by its executive management board). The business models are specified following the servicedominant logic in the Business Model Radar (SDBM/R) technique that is part of the BASE/X business engineering approach. This report is part of a series of reports using servicedominant business engineering to create a Smart Campus environment for an institute in the higher education sector.
Suggested Citation
Rein van den Bosch & Paul Grefen & Gijs Spiele & Toine van Vliet, 2026.
"Business Models for Smart Data-Driven Safety and Security Management in Higher Education,"
Working Papers
hal-05577573, HAL.
Handle:
RePEc:hal:wpaper:hal-05577573
Note: View the original document on HAL open archive server: https://hal.science/hal-05577573v1
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-05577573. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.