Jourchain: using blockchain to avoid questionable journals.

Scholarly publishing currently is faced by an upsurge in low-quality, questionable "predatory/hijacked" journals published by those whose only goal is profit. Although there are discussions in the literature warning about them, most provide only a few suggestions on how to avoid these journals. Most solutions are not generalizable or have other weaknesses. Here, we use a novel information technology, i.e., blockchains, to expose and prevent the problems produced by questionable journals. Thus, this work presented here sheds light on the advantages of blockchain for producing safe, fraud-free scholarly publishing.

Antecedents and outcomes of job embeddedness among nurses.

Embedding nurses in their jobs is associated with many positive results because they have to deal with varying patient needs and sometimes make close relationships with them. Having mentioned that, we have limited knowledge of antecedents and possible outcomes of job embeddedness. Accordingly, this study aimed to explore the mediating role of job embeddedness (JE) among this group in the relationship between Team-Member Exchange (TMX), Empowering Leadership (EL), and Perceived Organizational Support (POS) with Innovative Work Behavior (IWB). Data were gathered from a group of 800 nurses, who were working in fourteen different public hospitals in the northeast of Iran. Of 800 distributed questionnaires, 723 questionnaires were completely filled. Different statistical analysis methods, such as Confirmatory Factor Analysis (CFA), Pearson correlation coefficient, and Structural Equation Modeling (SEM), were used for data analysis. The results indicate the positive influence of TMX and POS on IWB through the mediating role of JE in this group. It is worth noting that the JE-mediated effect of EL on IWB was not significant.

Use of Internet of Things for Chronic Disease Management: An Overview.

Most of the countries with elderly populations are currently facing with chronic diseases. In this regard, Internet of Things (IoT) technology offers promising tools for reducing the chronic disease burdens. Despite the presence of fruitful works on the use of IoT for chronic disease management in literature, these are rarely overviewed consistently. The present study provides an overview on the use of IoT for chronic disease management, followed by ranking different chronic diseases based on their priority for using IoT in the developing countries. For this purpose, a structural coding was used to provide a list of technologies adopted so far, and then latent Dirichlet allocation algorithm was applied to find major topics in literature. In order to rank chronic diseases based on their priority for using IoT, a list of common categories of chronic diseases was subjected to fuzzy analytic hierarchy process. The research findings include lists of IoT technologies for chronic disease management and the most-discussed chronic diseases. In addition, with the help of text mining, a total of 18 major topics were extracted from the relevant pieces of literature. The results indicated that the cardiovascular disease and to a slightly lesser extent, diabetes mellitus are of the highest priorities for using IoT in the context of developing countries.