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Prediction of increased risk of suicide is difficult. We had the opportunity to follow up 20 patients receiving electroconvulsive therapy (ECT) because of severe depression. They filled in the Antonovsky sense of coherence test (SOC) and Beck depression inventory (BDI) before and after a series of ECT treatments. Seventeen surviving patients had a mean observation time of 20.6 months, whereas the three deceased patients had 11.3 months. There was a lower mean age at onset of illness and a longer mean duration of disease in the deceased. Other clinical parameters did not differ. The surviving patients had a significant decrease on the BDI from 35 to 18 (P<0.001) and an increase on the SOC test after ECT from 2.45 to 3.19 (P<0.001), indicating both less depression and better functioning in life. The deceased had a larger change on the BDI from 32 to 13, not attaining significance because of the low number of deceased. The SOC test, however, did not increase to a purported normal level; that is, from 2.43 to 2.87. Although the SOC scale has been shown to predict mortality in substance abusers, the SOC test has not been part of earlier reviews of predictive power. Tentatively, a low pathological score on the SOC test may indicate low sense of coherence in life that might increase the propensity for suicide. These preliminary results need replication in larger studies.

Previous studies on employee turnover did not explore the contextual differences of emerging markets such as Vietnam. As Vietnam is a fast-growing new tiger economy with a high inflow of foreign direct investment, contextual analysis needs to be conducted to handle rising HR issues in the region. The current study aims to analyze paths to employee turnover intention through an integrated model covering factors on individual, team, and organizational levels to understand the contextual difference in the Vietnam F&B service industry.

A mixed method was used based on quantitative and qualitative data from three organizations. For the quantitative analysis, a path model was developed and analyzed by SEM-PLS (Smart PLS) based on a sample size of 354. For the qualitative analysis, 32 semi-structured interviews were conducted to explore the contextual understanding in the regional context.

Although the current study confirms that the paths among the three levels show the turnover factors developed in the previous study still applicable to the Vietnam context, the strengths and relationships among the team and individual levels imply that the Vietnamese context created a unique HRM environment forming different paths to reach employee turnover decisions.

The findings contributed to the literature on employee turnover by developing an integrated model of employee turnover encompassing the three levels, suggesting the different local contexts formed unique paths to employee turnover decisions.

The modern company is having to become increasingly international, to look to overseas markets or even to set up operations within them. This internationalisation of the company means that some method must be found which lays down guidelines for formulating an overall international marketing strategy. If different international markets are seen as basic units of investment, the company should seek to obtain a balanced portfolio of markets, to enable it to allocate its scarce resources with maximum efficiency achieving stable growth in the long term.

Personal characteristics, such as age, marital status, education level and gender, vary among elderly residents in residential apartments. These characteristics may influence the elderly residents’ satisfaction with the facilities provided in their residential apartments. To ensure appropriate facilities management (FM) items are provided for the different categories of elderly people, it is necessary to understand their basic needs. Therefore, this paper aims to compare the satisfaction with FM items among elderly people with different personal characteristics in private domestic (PD) buildings.

A questionnaire survey was conducted among elderly people with different personal characteristics in PD buildings to collect information about their levels of satisfaction with FM items. A total of 41 FM items and four characteristics of the elderly, namely, age, gender, marital status and education, were identified in this study.

The result shows that satisfaction with natural daylight was significantly different among elderly people of different genders, while the one-way between-groups ANOVA indicate that satisfaction with the size of bedrooms, turning spaces at doors, temperature in bathrooms and/or toilets, colour, accessibility and ease of closing or opening the doors were significantly different among elderly people belonging to different age groups and of different marital status and education level.

Designers and private developers are therefore recommended to increase the sizes of bedrooms, install windows on opposite sides of walls in the flats and ensure there is an adequate light reflection ratio for wall and floor colours, to accommodate elderly people’s special characteristics.

The Children's Depression Rating Scale-Revised (CDRS-R) is a widely used instrument for research on depression in minors. A raw score of ?40 has often been used as indicator of depressive symptomatology. As a validated German version of the CDRS-R has recently became available, we assessed CDRS-R raw summary scores of a video taped interview session in two different rater groups and compared them with clinical ratings of International Classification of Diseases (ICD-10) depression diagnosis as observed by a third independent group. We found that for the German version a raw score between 35 and 40 is indicative for mild depressive symptomatology as described by the ICD-10. CDRS-R scores show potential clinical applicability to deduct levels of depression.

Recently, blockchain technology (BT) has resolved healthcare data management challenges. It helps healthcare providers automate medical records and mining to aid in data sharing and making more accurate diagnoses. This paper attempts to identify the critical success factors (CSFs) for successfully implementing BT in healthcare.

The paper is methodologically structured in four phases. The first phase leads to identifying success factors by reviewing the extant literature. In the second phase, expert opinions were solicited to authenticate the critical success factors required to implement BT in the healthcare sector. Decision Making Trial and Evaluation Laboratory (DEMATEL) method was employed to find the cause-and-effect relationship among the third phase’s critical success factors. In phase 4, the authors resort to validating the final results and findings.

Based on the analysis, 21 CSFs were identified and grouped under six dimensions. After applying the DEMATEL technique, nine factors belong to the causal group, and the remaining 12 factors fall under the effect group. The top three influencing factors of blockchain technology implementation in the healthcare ecosystem are data transparency, track and traceability and government support, whereas; implementation cost was the least influential.

This study provides a roadmap and may facilitate healthcare professionals to overcome contemporary challenges with the help of BT.

The purpose of this paper is to develop a data system to assess failure probability in small to medium‐sized enterprise (SME) reorganization.

The data system is based on information from 83 reorganized Finnish SMEs. Information is divided into four types: pre‐filing non‐financial, pre‐filing financial, reorganization submission, and reorganization plan information. Partial least squares (PLS) analysis is used in data mining to factorize information for each type of information. Logistic regression analysis is applied to assess failure probability.

Useful data system can be developed on the basis of pre‐filing non‐financial information to support reorganization decision. Pre‐filing financial information only marginally improves quality of information. Submission and reorganization plan information improve quality in terms of fit but do not significantly improve classification accuracy.

The sample is small and should be expanded in further studies. The system is developed for Finnish reorganizing firms. It can be generalized to any similar reorganization process.

The data system is useful for managers, lending specialists, investors, reorganization lawyers, and judges. It warns a SME about reorganization failure before filing petition (passive use). It is also useful in developing successful reorganization plans (active use).

This paper builds an extensive data system for assessing reorganization failure risk. It makes use of many variables that have not been analyzed in reorganization studies earlier. It deals with SMEs that is rare in reorganization studies. The paper utilizes PLS in assessing failure probability. It includes new analytical results on PLS.

This paper aims to study the impact of economic freedom and some key macroeconomic variables on the foreign direct investment (FDI) inflow in Brazil.

An econometric model is developed that includes FDI inflow as the dependent variable and macroeconomic variables such as the output, current account balance, the real exchange rate, openness and economic freedom as explanatory variables. Annual time series data from 1995 to 2022 is used. Before carrying out the estimation, the time series properties of the data are diagnosed using unit root tests and cointegration tests. Since the data series were found to be stationary in the first difference form and the variables in the model were cointegrated, an error correction model is developed and estimated.

The findings demonstrate that the size of the market (gross domestic product), current account balance and the economic freedom index significantly influence FDI inflow to Brazil. Although the signs of openness and the real exchange rate align with theoretical expectations, they do not attain statistical significance.

To the best of the authors’ knowledge, this is the first formal study on the impact of economic freedom on the FDI inflow in Brazil. The finding of this study adds value to the understanding of FDI dynamics in Brazil, highlighting the critical role of economic freedom and market size in attracting foreign investment.