The Net Promotor Score (NPS) is one of the most well-known metrics for measuring customer loyalty. Originally designed by Reichheld (2003), the measure asks participants to rate their likelihood to recommend the brand on a scale of 0-10, after which respondents are placed into a ‘detractors’ group, ‘passive’ group or ‘promotors’ group. While the measure has attracted much attention due to its simplicity and ease of use, there has equally been much criticism of its reliability, nomological validity and how it is connected to business outcomes. Therefore, the current study aims to understand whether the NPS can be used to identify brand advocacy, and secondly, does the NPS work in a care-based, low switching service context. The study included three unique contexts: at home care, residential care and disability care. In total, there were 611 participants, all of which were based in Australia. A questionnaire was developed and administered to each group and included both quantitative and qualitative questions to understand the consumer experience. The findings supported NPS as an effective metric in a care-based, low-switching context for identifying positive customer advocacy. The implication is that the NPS can be used to track organizational performance; and the extended NPS allows organizations to understand and encourage (address) positive (negative) advocacy. In addition, suggestions for an ‘earned advocacy score’ were provided which may offer a more effective way of understanding consumer experience, while providing clearer, more detailed and more actionable data. The current study provides much needed insight for brand and care organizations to understand how the NPS might be used effectively to facilitate better brand outcomes.

Treatment and management of chronic low back pain (CLBP) should be tailored to the patient’s individual context. However, there are limited resources available in which to find and manage the causes and mechanisms for each patient. In this study, we designed and developed a personalized context awareness system that uses machine learning techniques to understand the relationship between a patient’s lower back pain and the surrounding environment. A pilot study was conducted to verify the context awareness model. The performance of the lower back pain prediction model was successful enough to be practically usable. It was possible to use the information from the model to understand how the variables influence the occurrence of lower back pain.

The article summarises the status and competence of UJV Rez, a. s. (up to 2012, the Nuclear Research Institute Rez, Czech Republic) in the field of radioactive waste (RAW) management as a company managing of 95% of institutional radioactive wastes in Czech Republic. UJV Rez a. s. has been one of the Czech Republic’s key research and engineering institutions in the field of nuclear energy production since 1955. The company processes and conditions prior to storage 95% of so-called institutional RAW and is the principal partner of the state with respect to the research support of the Czech deep geological repository development project. UJV Rez a. s. boasts its own accredited radiochemical analytical test laboratory, unique of its kind in the Czech Republic. Of equal importance is UJV Rez’s active participation in a range of international organisations and associations and its involvement in wide range of international projects, and so as European projects. One of them is EU funded project PREDIS: Pre-disposal management of radioactive wastes, that has started at September 2020, focused on the field of low level radioactive waste (LLW) and intermediate level radioactive waste (ILW) pre-disposal.