Introduction Students experiencing poor wellbeing in elementary school can suffer lifelong consequences, including low self-esteem or depression. Understanding how to increase student wellbeing through information-based approaches is therefore important. While previous research has explored wellbeing frameworks, this study uniquely investigates the intersection of elementary school wellbeing with Internet of Things (IoT) implementation potential.Method We present the first comprehensive requirements analysis gathered from both staff and students for improving wellbeing in an elementary school in rural Sweden, with the aim of implementing IoT solutions. We collected qualitative data through individual interviews and workshops with 25 staff members and a survey from 464 students. We analyzed the data in an inductively and deductively way, using the Konu and Rimpel & auml;'s wellbeing framework.Results Our novel findings reveal alignment between staff and student perspectives across the framework's categories: having, loving, being and health. One example is the importance of motivation in each learning situation and creating a foundation for good social relations among the students. The requirements related to the health category received the least attention, reflecting less focus on individual student circumstances.Discussion This study contributes new knowledge by detailing wellbeing needs for elementary school and relating them to data-driven innovation, such as IoT, for gathering both objective and subjective information. We also acknowledge that this creates additional demands on current solutions and raises significant privacy concerns in school environments. Future research will incorporate expert IoT knowledge and develop prototype solution based on these identified requirements.

The aim of this study is to explore whether trends in sustainability and digitalisation from the 1980s until today have left any significant practical or epistemological footprints on the quality management paradigm. The study design consists of a mixed-methods approach that applies a data-mining methodology and content analysis to the digital archives of eight scientific journals: six within the quality management (QM) domain and two with a focus on operations management (OM). The data set contains an unbroken time series of over 12,000 research paper abstracts, the first of them published in 1980, giving the study a coverage of almost 40 years. The findings show that sustainability came onto the scholarly scene in 1996 and has since become an increasingly popular research area. In regard to digitalisation, the story is quite different, as the concept is currently absent from the scholarly QM and OM literatures. However, a search for information technology (IT) and information systems (IS) revealed that these topics have been gaining attention since the 1980s. However, it was found that QM research only addresses one part of digitalisation, omitting several interesting dimensions. One example is that the QM and OM literatures address IS mainly in relation to standardised guidelines and business processes within organisations. At the same time, we found a handful of studies combining QM and topics related to modern digitisation, like social media. 

Given the burdensome disease, cancer, and the challenges presented by limited resources to deal with it, the field of oncology looks to artificial intelligence (AI) as a potential help. This exploratory study seeks to understand the AI implementation process, and to understand the barriers and facilitators to AI adoption. Semi-structured interviews were conducted with 11 stakeholders in strategic positions. Interviews were transcribed, followed by a thematic analysis. Results show that attitudes towards AI adoption and use are generally positive. Communication and support, as well as quality data and good AI performance within the clinical context, aid the implementation of AI. Benefits such as time saving and reduced workload for clinicians are noted. However, challenges related to funding, unsatisfactory AI performance, and lack of transparency can negatively impact adoption. Legal challenges exist regarding AI projects and required data, however compliance with GDPR is endorsed. To aid AI adoption, issues contributing to uncertainty and factors resulting in lack of trust need to be addressed.

Lifelong learningfor solving work assignmentsis essentialfor societal and personal development. Higher education is onenatural part of lifelong learningand,therefore, needs to be re-focused from solely younger students to include professionals and their development goals. One problem related to giving a course for professionals is their struggle between work assignments and the course. Focusing on the added perspective of professionals for higher education,this study presents five design principles for courses for professionals. Design principles are guidelines based on experience and iterative development in higher education. The empirical datacomes from a course in digitalisation and digital transformation, which was given thrice. The course participants were professionals from private and public organisationsin Sweden. The empirical data originates from the professionals who made a check-in, mid-term evaluation, and evaluation after the course, resulting in75 entries. Two researchers analysed the first two course entries inductively, forming the foundation for the first round of design principles. The course design for the third round was then revised according to its weaknesses. Based on the strengths and weaknesses found in empirical material from all threecourses,the current design principles are professional pathwaysreferring to new knowledge directly linked to real-world applications, knowledge evolution, meaning gradual integration of knowledge using seminars and examination assignments, preparedness protocolfocusing on updated information and structured templates for the seminars.Further, the design principle of collaborative connectionincludes discussion where professionals exchange experiences, and the last principle, learning fusion, directs toward blended learning by combining face-to-face seminars and films. The revised course design, according to the design principles,impliedthat the number of professionals graduating and their grades increased.The findings of this study addtheoretically to existing knowledge and practical implications by providing design principles that higher education teachers and other stakeholders can use to design or revise professional development courses. The design principles could be used stand-alone or combined to increase professionals' learning and satisfaction.

In most parts of the world, minors’ access to education is guaranteed, resulting in most of their time being spent in the school building. Similarly, school staff spend a relatively long time in the same building. This unique setting requires both groups to stay inside the school walls throughout the working days, which might negatively affect their well-being. Studies show that low indoor air quality might negatively affect well-being. Moreover, school staff and students mention other problems, such as worrisome declining students’ attendance, motivation, social relations, safety, stress, and pressure, among others. Technological solutions, such as IoT-based systems, might be one way to tackle the well-being issue at schools. However, most of the existing solutions focus on the quality of the indoor environment, disregarding the needs and pains of school inhabitants. In the current article, we present an investigation of how IoT-based solutions could extend beyond solely environment-measuring tools and fulfill the needs of school inhabitants. Through an interview study with eleven IoT experts guided by user (school inhabitants) requirements identified in the previous research, we assess functional and non-functional system requirements that such systems should build on. These are discussed against the five-layer IoT architecture model. Moreover, the study identifies barriers and benefits of IoT-based solutions, which are discussed in the context of existing scientific and legal frameworks. The exploratory findings presented in the paper could be used as a guide for decision-makers at schools to ensure that the students’ and staff’s well-being is maintained, as well as by IoT suppliers to produce holistic or compatible solutions that could be easily integrated into the unique contexts of school.

Background: Stakeholders in health and social care are implementing digital solutions to facilitate person-centred care for citizens. One problem is choosing which digital solution to implement. Ordinary cost-benefit analysis implicates the measurable parts of the value, leaving the immeasurable without any trace in an analysis. Results: We used design thinking to design a framework that implicates what to add as valuable factors on individual, organisational, and governmental levels. The design is based on empirical material from workshops and literature reviews on systems thinking, quality management, and value factors. The valuable factors at an individual level could include independence, autonomy, and empowerment, and the factors at the organisational level accessibility, competence, and independence. On a central level, the factors are related to person-centred care and its value proposals, such as autonomy and independence. Conclusions: While conducting a cost-benefit analysis, focusing on a standard definition of the value concept is essential. The designed framework needs to be dynamic due to the broad range of welfare technology. The created rubrics cube model, including strategic, organisational-operational and individual levels, should be used by decision-making groups as a flexible foundation. Forthcoming research will test this framework, including the proposed scale for measurement and focusing on welfare technology for older citizens.

Stroke is a globally increasing disease and speech and language deficiencies are common in stroke survivors. To facilitate medical caregivers in their professional work and to improve patients’ quality of life, technology can play an important role. However, the use and acceptance of technology are uncertain and more research is needed in this direction. This study evaluates the technology acceptance and adoption of an online speech and language assessment application. The evaluation-focused Design Science Research strategy was adopted for that purpose. Two physiotherapists, one occupational therapist and three speech therapists participated in the study. The Unified Theory of Acceptance and Use of Technology (UTAUT) was used as the theoretical base for interview questions formation and data analysis. The study findings show that the suggested application is useful and easy to use; however, it should be better synchronised with speech therapists’ daily work routines. The speech therapists stressed that the functionalities of the application should be designed in close collaboration with them, and it should be compatible with the already existing systems and services in place. Due to impairments after stroke, the patients have some specific preferences for software and hardware; such as a tablet with a touch pen is the preferred hardware. Additionally, the interface should have bigger text fonts and pictures, and highly contrastive colours in the graphics should be used for patients’ convenience. The user’s privacy and security, the patient’s current health, and their previous knowledge and experience with technology were also found important determinants for the intention to use the given technology.

The Internet of Things (IoT) is a source of knowledge about the surrounding environment and people in such an environment. The insights collected by IoT can provide the knowledge needed to improve people’s health and overall well-being. Schools are one environment where IoT is scarcely applied, yet, it is expected that this is where children and teenagers spend most of their time. Drawing on previous findings, this paper presents preliminary results from qualitative inquiry investigating how and what IoT-based solutions could support health and well-being in elementary educational settings.

In this short paper we describe the implementation of an IoT test-bed in an elementary school. We argue that by adding additional IoT senors to an existing IoT system it is possible to evolve an indoor climate control system into a indoor milieu control system aimed at improving the health and well-being for both pupils and staff who spend their days working in the school environment. Lastly, we call for multidisciplinary action as the domain IoT for health and well-being spans across several different knowledge domains.