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This paper aims to increase the understanding of involvement and participation in the co-design of an outcome-based procurement.

First, it presents a relational model for performing co-design activities. Second, it examines how the model might be applied in performing an outcome-based procurement. Third, it presents a Web-based platform for co-designing procurement, developed according to the relational model. Fourth, it illustrates the model with a concrete procurement where the collaboration is mainly performed face to face, but partly mediated by the Web-based platform.

As a conclusion, the relational co-design model seems to work well in framing the core tasks of an outcome-based procurement. In spite of that, the Web-based platform does not direct the user enough to perform procurement.

Additive manufactured (AM) skull models are increasingly used to plan complex surgical cases and design custom implants. The accuracy of such constructs depends on the standard tessellation language (STL) model, which is commonly obtained from computed tomography (CT) data. The aims of this study were to assess the image quality and the accuracy of STL models acquired using different CT scanners and acquisition parameters.

Images of three dry human skulls were acquired using two multi-detector row computed tomography (MDCT) scanners, a dual energy computed tomography (DECT) scanner and one cone beam computed tomography (CBCT) scanner. Different scanning protocols were used on each scanner. All images were ranked according to their image quality and converted into STL models. The STL models were compared to gold standard models.

Image quality differed between the MDCT, DECT and CBCT scanners. Images acquired using low-dose MDCT protocols were preferred over images acquired using routine protocols. All CT-based STL models demonstrated non-uniform geometrical deviations of up to +0.9 mm. The largest deviations were observed in CBCT-derived STL models.

While patient-specific AM constructs can be fabricated with great accuracy using AM technologies, their design is more challenging because it is dictated by the correctness of the STL model. Inaccurate STL models can lead to ill-fitting implants that can cause complications after surgery.

This paper suggests that CT imaging technologies and their acquisition parameters affect the accuracy of medical AM constructs.

This study aims to present property management challenges that municipalities have encountered regarding a public building with noted building-related symptoms. The study goes on to provide reasons for the failure of attempts to manage the symptoms and discusses the current challenges concerning the process.

A participatory case study was used as the research methodology to identify the current challenges concerning a municipal approach to managing the building-related symptoms in a case-study building. The researchers scrutinised the history of the health symptom management process and attended the project planning meetings focused on the investigation of the condition of the building.

Multiple challenges concerning maintenance and omitted or postponed repair actions, as well as vagueness in the management process were found. In addition to this, it was noted that the complexity of the initial design of the building and vandalism have resulted in challenges for the maintenance and moisture performance of the building structures. According to the study, more orderliness and a more systematic process is needed when managing a municipal property.

The identified property management challenges may be of practical value for the facility managers and the property owners, especially when managing the building-related symptoms and a damaged building.

This study highlights the importance of having an in-depth understanding of condition assessments as well as proper maintenance and timely repairs for the successful management of the building-related symptoms in a municipal building. This is a pilot project in a larger project of management of building refurbishment.

The purpose of this paper is to show the results of the task given by a major research program concerning low-energy building and indoor environment. The task was to develop contracting document model layouts to be used in zero-energy building (ZEB) and nearly zero-energy building (nZEB) construction projects.

A workshop method was chosen for gathering information and developing the layouts.

In the debate in the workshop three main topics arose: the selection of project delivery system, the use of performance controller for the heating, ventilation and air-conditioning (HVAC) systems and making innovation possible by making the call for bids as loose as possible.

The use of performance controller could be investigated more, and more accurate information and knowledge about the best practices on nZEB construction can be captured as the industry moves in that direction and more projects will appear.

The goals of the research program were met and also the main issues of nZEB construction contracting were documented, which can be utilized by the whole industry of house building.

This paper's purpose is to develop a meaning-based framework for customer loyalty by examining how consumers make sense of customer loyalty through meanings and metaphors.

A qualitative study based on in-depth interviews and focus group data in the retail context was conducted with Finnish customers. The data were analysed with qualitative data analysis techniques such as the constant comparative technique.

The empirical findings comprise eight loyalty meanings characterised by two dimensions. The first dimension is reflexive vs. routinised, and the second dimension is private vs. social. The loyalty types are dimensionalised through four metaphors: loyalty as freedom of choice; as being conventional and binding; and as belongingness.

The findings improve the way customer loyalty currently is understood in the retail setting. The paper proposes that customer insight that utilises thick data can be used to grasp loyalty meanings. These data are rich in context and detail, and they take into account customers' everyday lives. Utilising thick data in the form of storytelling fuels customers' meaning-making related to customer loyalty, potentially enriching their relationship with the retailer.

Customer loyalty has been driven largely by a transactional and company-centric perspective. This article presents an alternative view of customer loyalty that accounts for the variety of meanings that customers may assign to their loyalty-related thoughts and behaviours.