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The purpose of this paper is twofold: First, it analyzes demand and supply-side factors that influence patient flows to and from Austria. Second, building on the empirical research and existing conceptualizations, the study offers a general extended framework to guide future comparative analysis.

The paper draws on multiple data sources including a literature review, secondary data, website analysis and semi-structured interviews with patients and health providers. Content analysis was carried out to identify common motives for seeking care abroad and providers' orientation towards medical travel.

Outbound medical travel is largely determined by factors of access, affordability and vicinity, while inbound medical travel is predominately driven by a lack of adequate medical infrastructure in source countries and quality, both in terms of medical and service quality. Providers distinguish themselves according to the extent they take part in medical travel.

The findings emerging from a single country case study approach cannot be generalized across settings and contexts, albeit contributing to a better understanding of current medical travel patterns in Europe.

Unlike most recent contributions, this study focuses both on inbound and outbound medical travel in Austria and investigates patient flows for distinctive treatments and drivers. While analysis of the supply-side of medical travel is often limited to tourism studies, this study provides a critical insight into developments in Europe from a health policy perspective, acknowledging that diverse medical travel patterns in Europe coexist.

Studying the gap between improvements in operational performance of a manufacturing organization does not necessarily represent the existent of safe and healthy work. The purpose of this paper is to fill this gap validating a scale about social practices.

The literature was studied; data analysis instrument and the scale validated by Q-sort. The reliability and validity of research instrument indicators were drawing from the analysis of judges. The data were assessed by convergence matrix.

It was validated five social practices factors. It was enabled the adequacy of the name of the constructs and establishment which indicators better convergence to the constructs.

The judge´s number that answered the research was low. The level of convergence related of two factors was above 50 percent.

It is possible to achieve better levels of performance through social practices. Organizations must rethink the management and the routine of the workers to implement the operational practices.

The practices need to have with well-defined rules, as well as action to drive compliance. This vision also needs to be expanded to suppliers, customers and society.

Highlight five points: technology is the main factor for analyzes and decisions; the search for quality leads organizations to seek practices that improve workers’ well-being, health and safety; the activities of the worker are carried out on the factory, or in the work environment; Should not to belittle the local community; culture is an essential factor to continuous improvement.

This paper aims at discussing the options available to governments when it comes to the use of technology to contain the spread of the COVID-19 virus.

This is an opinion piece, based on very recent developments (COVID-19), and based on a well-known trade-off between privacy and state surveillance, especially in times of crisis that threaten the survival of a nation.

The main finding is that technology alone will not help, and there are several reasons to doubt that the recently proposed European system to track the contagion in a privacy-preserving way (pan-European privacy preserving proximity tracing [PEPP-PT]) would be a fully effective solution.

This is a short paper, which is very dependent on current developments. It was written in a very short time, so the level of depth in the references to the literature and the caselaw is limited. The main implication is that this paper is very far from the final word in the analysis of the interplay between technology and society, especially in democratic countries.

There is a need to ensure that the temporary measures that will be adopted during the pandemic do not extend to the post-COVID-19 period.

To the best of the author’s knowledge, this is a very fresh debate; the paper is thus original and proposes one of the first structured comments to the PEPP-PT and DP-3T conceptual designs.

The purpose of this study is to provide the conditions for governance effectiveness and explain why the same rules often result in not the same norms.

The author proposes a “corporate governance culture” concept explaining the differences within corporate governance institutions and making it possible to measure their effectiveness. Based on a literature review that included 186 research studies published in the corporate governance field, the author found that most (160) concern structural numerical variables. Only 26 refer to behavioural and cultural issues, and they support the idea of an interdisciplinary approach to governance problems.

A significant contribution of this paper is that it proposes an integrative framework that operationalises psychological, sociological and philosophical issues that influence corporate governance mechanisms. The proposed concept can reanimate the debate about the need for tight governance regulations or leaving room for a loose governance regime.

The idea of “corporate governance culture” explains the divergences identified in studies on corporate governance mechanisms, pointing out behavioural and cultural issues as crucial aspects of governance bodies.

Centralized waiting lists (CWLs) for patient attachment to a primary care provider have been implemented across Canada, including Quebec. Little is known about the implementation of CWLs and the factors that influence implementation outcomes of such primary care innovations. The purpose of this paper is to explain variations in the outcomes of implementation by analyzing the characteristics of CWLs and contextual factors that influence their implementation.

A multiple qualitative case study was conducted. Four contrasting CWLs were purposefully selected: two relatively high-performing and two relatively low-performing cases with regard to process indicators. Data collected between 2015 and 2016 drew on three sources: 26 semi-structured interviews with key stakeholders, 22 documents and field notes. The Consolidated Framework for Implementation Research was used to identify, through a cross-case comparison of ratings, constructs that distinguish high from low-performing cases.

Five constructs distinguished high from low-performing cases: three related to the inner setting: network and communications; leadership engagement; available resources; one from innovation characteristics: adaptability with regard to registration, evaluation of priority and attachment to a family physician; and, one associated with process domain: engaging. Other constructs exerted influence on implementation (e.g. outer setting, individual characteristics), but did not distinguish high and low-performing cases.

This is the first in-depth analysis of CWL implementation. Results suggest important factors that might be useful in efforts to continuously improve implementation performance of CWLs and similar innovations.

Managers are increasingly looking to adopt the Internet of Things (IoT) to include the vast amount of big data generated in their decision-making processes. The use of IoT might yield many benefits for organizations engaged in civil infrastructure management, but these benefits might be difficult to realize as organizations are not equipped to handle and interpret this data. The purpose of this paper is to understand how IoT adoption affects decision-making processes.

In this paper the changes in the business processes for managing civil infrastructure assets brought about by IoT adoption are analyzed by investigating two case studies within the water management domain. Propositions for effective IoT adoption in decision-making processes are derived.

The results show that decision processes in civil infrastructure asset management have been transformed to deal with the real-time nature of the data. The authors found the need to make organizational and business process changes, development of new capabilities, data provenance and governance and the need for standardization. IoT can have a transformative effect on business processes.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the propositions further.

The paper shows that data provenance is necessary to be able to understand the value and the quality of the data often generated by various organizations. Managers need to adapt new capabilities to be able to interpret the data.

This paper fulfills an identified need to understand how IoT adoption affects decision-making processes in asset management in order to be able to achieve expected benefits and mitigate risk.

After the COVID-19 outbreak began, travel demand dropped sharply and the potential impact of COVID-19 on sharing accommodations appears to be significant. Thus, it would be meaningful to investigate how travelers have changed their perceptions of staying at sharing accommodations in the wake of the coronavirus pandemic. The purpose of this research was to compare consumers' perceived risks of using sharing accommodations, such as Airbnb, before and during the coronavirus pandemic.

Paired sample t-tests were applied, using two surveys collected in 2017 (pre-pandemic) and 2020 (peri-pandemic). The effects of stress levels from COVID-19 and previous experience with sharing lodging services on risk perception changes were also examined.

Consumers showed higher social, physical, performance and convenience risk perceptions during the pandemic. Not surprisingly, those respondents who were more conscious of the pandemic in terms of concern and anxiety had higher changes in their risk perceptions. In addition, changes in risk perception differed by consumers' usage experience.

The results of this study add to the body of knowledge about consumers' risk perceptions of the sharing economy, particularly in connection with a huge disruption such as the COVID-19 pandemic.

Lesson Study is a model for advancing knowledge about how teachers can enhance teaching through collaboration in schools. This study aims to focus on two learning situations for students in Grades 1–3: elementary school (the first years of school) and school-age educare (activities for students before and after school while their parents are working or studying). The case study aims to describe how teachers use Lesson Study to enhance students' mathematical learning in the two learning situations. The objectives were to describe teachers' perceptions of Lesson Study activities and collaboration and students' knowledge before and after lessons.

Data were collected as a narrative case study using audio-recorded conversations between researchers and teachers in the different learning contexts. A questionnaire comprising five open-ended questions was used to map students' knowledge of the subject.

Teachers found it advantageous to cooperate with each other across the different learning situations. Mapping students' knowledge before and after a teaching session helped them understand how to create a teaching situation that benefits their students. They saw the value of continued collaboration and called for implementation of the Lesson Study method throughout the school.

An important limitation of this case study is that it was conducted in a very specific context, and the findings cannot, therefore, be generalized to other situations. However, there is a need for similar case studies to be conducted in different contexts, both in Sweden and in other countries, to pay attention to ways in which elementary schools and school-age educare can develop supplementary teaching situations.

The originality of this case lies in planning and reporting a Lesson Study in two different learning situations in the same school, and the conclusion that educators identify and develop collaborative links in different subjects.

This paper aims to examine the time it would take to provide medical prophylaxis for a large urban population in the wake of an airborne anthrax attack and the effect that various parameters have on the total logistical time.

A mathematical model that evaluates key parameters and suggests alternatives for improvement is formulated. The objective of the model is to minimize the total logistical time required for prophylaxis by balancing three cycles as follows: the loading cycle, the shipping cycle and the service cycle.

Applying the model to two representative cases reveals the effect of various parameters on the process. For example, the number of distribution centers and the number of servers in each center are key parameters, whereas the number of central depots and the local shipping method is less important.

Various psychological factors such as mass panic are not included in the model.

There are few papers analyzing the logistical response to an anthrax attack, and most focus mainly on the strategic level. The study deals with the tactical logistical level. The authors focus on the distribution process of prophylaxis and other medical supplies during the crisis, analyze it and identify the parameters that influence the time between the detection of the attack and the provision of effective medical treatment to the exposed population.

When reviewing Community Health Development, it is necessary to understand the community context, including community health and details of medical pluralism (MP). The purpose of this paper is to correlate and predict between community health and related factors and delineate phenomenon of MP in Thammasen, Ratchaburi province, Thailand.

A mixed-methods sequential explanatory design was applied in this research. The quantitative survey was conducted by using an interview questionnaire. The 400 respondents were selected by simple random sampling from 11 villages. For the qualitative study, in-depth interviews were conducted with 37 key informants from selected health professionals, folk healers and local leaders.

The respondents were 56.5 percent female with a mean age of 53.8 years. The factors relating to community health included: health care behaviors, perceived health status, attitudes toward health care and access to health services. Considering the four predictive variables as a group revealed a 26.2 percent variation in community health. The phenomenon of MP was covered by the following three main aspects: self-health care (SHC)—healthy people pay attention to self-care and used herbal remedies to reduce early symptoms; folk medicine (FM)—some folk healers provide holistic healing, use herbal remedies and transfer knowledge to people who are interested and professional medicine (PM)—some health professionals adopt the concept of integrated medicines such as recommending that patients practice SHC and promote the use of Thai traditional medicine (TTM) and complementary and alternative medicine (CAM).

Health professionals, folk healers and local leaders should provide effective action domains that focus on the following four factors of community health: effective health care behavior, concern for health status, positive attitudes toward health care and accessibility to health services. Regarding MP, integrated medical and health care models should be developed to link SHC, FM and PM (including TTM/CAM).