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As part of the wave of new public management (NPM), the purpose of this paper is to unveil reactions to, and the management of organizational change within a context seldom examined – juvenile justice. This is achieved via a state-wide study on the introduction of a policy framework in eight centers to manage detainee behavior by ensuring risk-based decision-making among staff.

Secondary research material was analyzed on organizational characteristics, framework-implementation, and the associated outcomes. The material was synthesized to develop descriptions of each center.

Two key findings are apparent. First, there were limited research material to make robust connections between framework-implementation and related outcomes. Second, of the material available, there is clear evidence of center differences. The contexts in which the framework was implemented were varied – this may partly explain the different ways the centers responded to the framework, some of which appear counterintuitive.

The findings are limited by the use of secondary research material and the limited availability of comprehensive material.

This study suggests that managing change within the public sector requires an acute understanding of organizational context. This encompasses the situation both within and beyond the organization.

This study casts doubt on whether NPM, which espouses accountability, holds value for juvenile justice. This is largely because: the introduction of the framework was not complemented by the collection of complete data and information; and that which is available suggests considerable variation among the centers, which may circumvent the ability to establish causal relationships between policy and practice.

Evidence-based practice is pivotal to effective patient care. However, its translation into practice remains limited. Given the central role of primary care in many healthcare systems, it is important to identify strategies that bolster clinician-capacity to promote evidence-based care. The purpose of this paper is to identify strategies to increase Practice Nurse capacity to promote evidence-based sexual healthcare within general practice.

A survey of 217 Practice Nurses in an Australian state and ten respondent-interviews regarding two resources to promote evidence-based sexual healthcare – namely, a clinical aide and online training.

The perceived impact of both resources was determined by views on relevance and design – particularly for the clinical aide. Resource-use was influenced by role and responsibilities within the workplace, accessibility, and support from patients and colleagues.

This is the first Australian study to reveal strategies to promote evidence-based sexual healthcare among Practice Nurses. The findings provide a platform for future research on knowledge translation processes, particularly among clinicians who might be disengaged from sexual healthcare.

Given the benefits of evidence-based practices, it is important that managers recognize their role, and the role of their services, in promoting these. Without explicit support for evidence-based care and recognition of the Practice Nurse role in such care, knowledge translation is likely to be limited.

Knowledge translation among Practice Nurses can be facilitated by: resources-deemed informative, relevant, and user-friendly, as well as support from patients, colleagues, and their workplace.

Economists have recognized knowledge management as a promising tool regarding all aspects of the economy, including health care. The volume of biomedical literature is currently growing at an exponential rate, and the vast number of studies makes it extremely difficult for researchers to keep up with new developments in their research areas. Therefore, the efficient management of huge amounts of data and the accuracy of the knowledge thus obtained are vital concerns. Electronic health (e-health) has emerged as a useful concept to provide data for solo self-care management. Although health care is a common topic on the internet, patients rarely share their health care-related knowledge on social media. This study aims to examine the impact of knowledge on e-health.

This paper complies with the methodological requirements of systematic literature reviews. The present paper has investigated the newest systems and studied their practical techniques in detail. The effects of knowledge on e-health have been categorized into major groups.

The outcomes indicate that the capabilities of information and communication technology certainly promote the exchange of knowledge within clinics. The results also show that institutional architectures have significant impacts on knowledge-sharing exercises, significantly improving patient safety.

These findings will be essential in the understanding of the interplay among various signals in theory and in the understanding of patients’ choice in the e-health community in practice. The results have implications for existing health management and e-health literature. The present paper will help policymakers, health-care executives and project managers to effectively set their operations and make them maintainable, prevent unpredicted obstacles and better allocate their resources. Overall, the results of this paper will guide researchers who are working in the field of e-health.

E-health attempts have mostly focused on answering questions using context-specific technical answers, regardless of the key role of knowledge resources. The present paper has provided an innovative viewpoint on how knowledge resources and knowledge-sharing initiatives may have a role in the innovative work behaviors shown by health-care employees. As noted before, there have been only a few studies regarding the effects of knowledge on health care, so the present paper contributes to the previous literature, particularly about e-health.

Knowledge management (KM) implementation is the ideal solution for enhancing employee’s abilities like mental health and performance. This study aims at testing the impact of KM mechanism on personnel’s mental health at the Iran University of Medical Sciences.

The study is a descriptive, correlational and applied one. The library and field studies have been used to collect data through the questionnaire. The proposed model and the data have been analyzed using Smart PLS software. A questionnaire has been conducted by an arbitrary sampling method.

The results have shown that the main factors of KM have a direct, meaningful positive impact on innovation. Besides, the critical parameters of KM success, strategy and process have a significant and direct positive effect on the tendency for knowledge-sharing behavior. Further, the direct relationship of the trend for knowledge-sharing behavior with the mental health of employees has positively been confirmed. The results have also indicated that psychological empowerment has a positive and significant effect on the mental health of employees.

This study has investigated the four parameters (i.e. key factors for KM success, KM strategy, KM processes and psychological empowerment) impacting the knowledge-sharing intention, conduct of the people and the mental health of the employees. Scholars can investigate other personal and organizational parameters such as probable backgrounds of the knowledge-sharing intention, conduct and the mental health of the employees.

These findings will be essential in the understanding of the interplay among various signals in theory and the understanding of patients’ choices in the electronic health (e-health) community in practice. The results have implications for existing health management and e-health literature. The present paper will help policymakers, healthcare executives and project managers to effectively set their operations and make them maintainable, prevent unpredicted obstacles and better allocate their resources. Overall, the result of this paper will guide researchers who are working in the field of e-health.

The findings can develop robust knowledge-sharing platforms and offer insightful suggestions for management practitioners in emerging markets.

Established data revealed a relationship between obesity and increasing the risk of mortality and morbidity of chronic diseases. There are conflicting data regarding the association between adherence of dietary approach to stop hypertension (DASH) and obesity. Therefore, this study aims to investigate this relationship among a large sample of Iranian adults.

This cross-sectional study was performed by 10,693 individuals; 6750 individuals related to Yazd Health Study living in the urban area and 3943 individuals related to Shahedieh cohort study living in the suburb area. Dietary intake was evaluated by using a validated food frequency questionnaire. In all participants, anthropometric indices including body mass index were measured. The DASH score was considered using gender-specific quintiles of DASH items. To evaluate the relationship of DASH diet and obesity, multivariate logistic regression analysis was used.

By adjusting confounders, participants in highest quintiles of DASH diet were compared to the lowest have lower odds of obesity in suburb area (odds ratio [OR]: 0.78; 95% confidence interval [CI]: 0.63, 0.96), in urban (OR: 0.71; 95% CI: 0.52, 0.99) and in whole population of both studies (OR: 0.75; 95% CI: 0.63, 0.90). Besides, more compliance of women to this diet in urban (OR: 0.64; 95% CI: 0.48, 0.85) and population of both studies (OR: 0.77; 95% CI: 0.62, 0.96) were associated with reduced odds of central obesity.

Considering this study limitations, the following can be mentioned: in this cross-sectional study, the causal relationship between DASH diet and obesity could not be assessed. Consequently, further prospective studies are required in this area. Second, although a valid food frequency questionnaire was used, but there was a measurement error and an error in the classification of people participating in the study. Moreover, we cannot reject the possibility of residual confounding bias because unknown or unmeasured confounders may exist that affected our results. Finally, our participants with odds of obesity might have been advised to reduce their fat intake, which led them to alter their dietary habits. However, such possibility cannot be resolved in a cross-sectional study.

DASH dietary pattern could decrease odds of obesity in both urban and suburb area and central obesity in urban area only. Further prospective studies are needed for causal conclusion.

Many people have been dying as a result of medical errors. Offering clinical learning can lead to better medical care. Clinics have conventionally incorporated direct modality to teach personnel. However, they are now starting to take electronic learning (e-learning) mechanisms to facilitate training at work or other suitable places. The objective of this study is to identify and prioritize the medical learning system in developing countries. Therefore, this paper aims at describing a line of research for developing medical learning systems.

Nowadays, organizations face fast markets' changing, competition strategies, technological innovations and accessibility of medical information. However, the developing world faces a series of health crises that threaten millions of people's lives. Lack of infrastructure and trained, experienced staff are considered essential barriers to scaling up treatment for these diseases. Promoting medical learning systems in developing countries can meet these challenges. This study identifies multiple factors that influence the success of e-learning systems from the literature. The authors have presented a systematic literature review (SLR) up to 2019 on medical learning systems in developing countries. The authors have identified 109 articles and finally selected 17 of them via article choosing procedures.

The paper has shown that e-learning systems offer significant advantages for the medical sector of developing countries. The authors have found that executive, administrative and technological parameters have substantial effects on implementing e-learning in the medical field. Learning management systems offer a virtual method of augmented and quicker interactions between the learners and teachers and fast efficient instructive procedures, using computer and Internet technologies in learning procedures and presenting several teaching-learning devices.

The authors have limited the search to Scopus, Google Scholar, Emerald, Science Direct, IEEE, PLoS, BMC and ABI/Inform. Many academic journals probably provide a good picture of the related articles, too. This study has only reviewed the articles extracted based on some keywords such as “medical learning systems,” “medical learning environment” and “developing countries.” Medical learning systems might not have been published with those specific keywords. Also, there is a requirement for more research with the use of other methodologies. Lastly, non-English publications have been removed. There could be more potential related papers published in languages other than English.

This paper helps physicians and scholars better understand the clinical learning systems in developing countries. Also, the outcomes can aid hospital managers to speed up the implementation of e-learning mechanisms. This research might also enable the authors to have a role in the body of knowledge and experience, so weakening the picture of the developing country's begging bowl is constantly requesting help. The authors hoped that their recommendations aid clinical educators, particularly in developing countries, adopt the trends in clinical education in a changing world.

This paper is of the pioneers systematically reviewing the adoption of medical learning, specifically in developing countries.

While the petroleum industry remains to be the main source of energy in the world, it is responsible for a large amount of resource consumption, environmental emission and safety issues. In this industry, most of the refinery equipment are running out of their designed life cycle, leading to many challenges regarding equipment reliability, products quality, organizations’ profitability, human resources safety and job satisfaction, and environmental pollution, which affects not only the human resources of the refinery but also the people who live in the vicinity. This study aims to model and simulate the maintenance system of an oil refinery to reduce the rotating equipment’s downtime while simultaneously considering the three pillars of sustainability.

Considering the complexity of the system and its inherent dynamism, System Dynamics (SD) approach is applied to model and simulate the maintenance system of an oil refinery, aiming at reducing equipment’s downtime considering the three pillars of sustainability simultaneously. As a case study, the maintenance system of rotating equipment in the Abadan oil refinery of Iran is investigated.

Individual policies are investigated and categorized into three main groups: economic, social and environmental. The dynamic nature of the system demonstrates that applying combinations of the policies would be more effective than performing individual ones or even a combination of all policies at the same time. The findings show that to manage the maintenance and reliability issues in complex industries, only operational level maintenance strategies would not be helpful; rather, a holistic strategic solution counting different suppliers or even the government policies supporting the operational level maintenance decisions would be effective.

This study is the first which brings the perspective of sustainable policy-making in the SD modeling of a complex maintenance system like that of the petroleum industry. The developed model considers economic, environmental and social objectives simultaneously. Besides, it reflects the role of different stakeholders in the system. Furthermore, the policy-making attempt is not limited to the operational level corrective and maintenance solutions; instead, a comprehensive, holistic view is applied.

The purpose of this paper is to perform an analytical approximation for the flow of magnetohydrodynamic Carreau fluid with the association of nanoparticles over a rotating disk. The disk is moving with a constant uniform speed. Governing equations are obtained by using these assumptions in the form of partial differential equations with boundary conditions. These coupled, highly nonlinear equations are transformed into a coupled system of ordinary differential equations by engaging similarity transformation in the rotating frame of reference.

An efficient and reliable scheme, namely optimal homotopy asymptotic method, is used to obtain the solutions of the arising physical problem, which is further analyzed graphically. After computing the solutions of the arising problem, plots of velocities, temperature and concentration are discussed briefly.

It has been observed that dimensionless velocity reduced due to magnetic effect between the boundary layer and escalating values of the magnetic parameter upsurges the temperature and concentration profiles. Contour plots and numerical results are given for local numbers like skin friction coefficient, Nusselt number and Sherwood number.

The work presented in this manuscript is neither published nor submitted anywhere for the consideration/publications. It is a novel work.

This paper follows a systematic literature review (SLR) method covering the published studies until March 2021. The authors have extracted the related studies from different online databases utilizing quality-assessment-criteria. In order to review high-quality studies, 32 papers have been chosen through the paper selection process. The selected papers have been categorized into three main groups, decision-making methods (17 papers), meta-heuristic methods (8 papers) and fuzzy-based methods (7 papers). The existing methods in each group have been examined based on important qualitative parameters, namely, time, cost, scalability, efficiency, availability and reliability.

Cloud computing is known as one of the superior technologies to perform large-scale and complex computing. With the growing tendency of network service users to utilize cloud computing, web service providers are encouraged to provide services with various functional and non-functional features and supply them in a service pool. In this regard, choosing the most appropriate services to fulfill users' requirements becomes a challenging problem. Since the problem of service selection in a cloud environment is known as a nondeterministic polynomial time (NP)-hard problem, many efforts have been made in recent years. Therefore, this paper aims to study and assess the existing service selection approaches in cloud computing.

The obtained results indicate that in decision-making methods, the assignment of proper weights to the criteria has a high impact on service ranking accuracy. Also, since service selection in cloud computing is known as an NP-hard problem, utilizing meta-heuristic algorithms to solve this problem offers interesting advantages compared to other approaches in discovering better solutions with less computational effort and moving quickly toward very good solutions. On the other hand, since fuzzy-based service selection approaches offer search results visually and cover quality of service (QoS) requirements of users, this kind of method is able to facilitate enhanced user experience.

Although the current paper aimed to provide a comprehensive study, there were some limitations. Since the authors have applied some filters to select the studies, some effective works may have been ignored. Generally, this paper has focused on journal papers and some effective works published in conferences. Moreover, the works published in non-English formats have been excluded. To discover relevant studies, the authors have chosen Google Scholar as a popular electronic database. Although Google Scholar can offer the most valid approaches, some suitable papers may not be observed during the process of article selection.

The outcome of the current paper will be useful and valuable for scholars, and it can be a roadmap to help future researchers enrich and improve their innovations. By assessing the recent efforts in service selection in cloud computing and offering an up-to-date comparison of the discussed works, this paper can be a solid foundation for understanding the different aspects of service selection.

Although service selection approaches have essential impacts on cloud computing, there is still a lack of a detailed and comprehensive study about reviewing and assessing existing mechanisms in this field. Therefore, the current paper adopts a systematic method to cover this gap. The obtained results in this paper can help the researchers interested in the field of service selection. Generally, the authors have aimed to specify existing challenges, characterize the efficient efforts and suggest some directions for upcoming studies.

The aim of present work is to study the flow and heat transport structures of hybrid nanoparticles in a moving material. Two types of hybrid nanoparticles have been chosen namely Al₂O₃-Cu and Al₂O₃-Ag nanoparticles (90%) within 10% of pure water.

Leading governing equations are transformed through similarity technique and then computed for numerical illustration by applying RKF method.

The author observed that the skin friction value of Al₂O₃-Cu/water case is lesser in comparison to the values of Nusselt number for Al₂O₃-Ag/water nanoparticles.

There exist no such study which addressed such phenomenon.