Search results

The aim of this study was to examine the impact of resiliency and associated factors on the mental health and quality of life among older adults in Thailand.

This cross-sectional study was conducted with 1,800 older adults (M = 69.3, SD = 7.2) from nine provinces across all regions of Thailand. Each participant completed an anonymous paper-based survey that included demographic data, work activities, health behaviors, social support, Connor-Davidson Resilience Scale (CD-RISC), Depression, Anxiety, Stress Scale (DASS) and World Health Organization Quality of Life Assessment for Older Adults (WHOQOL-OLD).

Through hierarchical multiple regression, resiliency, social support, exercise and work hours per week were found to be significant predictors of mental health: depression (F (6, 520) = 19.38, p < 0.001, adjusted R² = 0.17); anxiety (F (6, 520) = 18.64, p < 0.001, adjusted R² = 0.17); stress (F (6, 521) = 12.91, p < .001, adjusted R² = 0.12). Five predictors of quality of life were identified through hierarchical multiple regression: resiliency, social support, exercise, age and family economic status. These predictors explained 35% of the variance, F (5, 1655) = 178.44, p < 0.001, adjusted R² = 0.35.

Based on the results of this study, a comprehensive Wellness Program was designed to improve the mental health and quality of life of older adults in Thailand. This Wellness Program included five components: Volunteer Program, Resiliency Building Program, Social Support Program, Exercise Program, and Financial Education Program.

Previous approaches have employed the SCOR model for evaluating supply chain management, and in particular, have focused on cash-to-cash cycle time (C2C). This paper reviews the Supply Chain Index (SCI) developed by Supply Chain Insight LLC, which evaluates supply chain performance based on balance, strength, and resiliency. The main aim of this study is to review SCI as a new methodology to measure performance management, as well as to apply C2C for a case study of Korean firms, to compare and present differences for further complementary application.

The purpose of this paper is to describe the mental health issues among teachers globally and to investigate the significant factors that specifically impact the mental health of school teachers in Okinawa, Japan.

This cross-sectional study examined depression, anxiety, stress, self-esteem and resiliency among 174 teachers from seven schools in Okinawa, Japan. The study questionnaire consisted of four parts, including demographic data, Depression, Anxiety, and Stress scale (DASS-42), Rosenberg Self-Esteem Scale (RSE), and Connor-Davidson Resiliency Scale (CD-RISC). Multiple regression analyses were performed to identify predictors of mental health variables.

Of the 174 teachers, 111 were females (64%) and 60 were males (35%). Average age of participants was 41.65 (SD = 10.07). Average number of years being a teacher was 15.50 (SD = 9.88). There was a significant gender difference in the level of self-esteem. Significant differences in anxiety were found among varying grade levels taught. Regression analyses indicated that resiliency and self-esteem significantly predicted depression, anxiety and stress among school teachers in Okinawa.

This is the first study among school teachers in Okinawa that examined the impact of resiliency and self-esteem on their mental health. To reduce psychological distress common within the teaching profession, social and environmental support should be provided within the school to better foster the successful promotion of teacher resiliency and self-esteem.

Although proactive fault handling plans are widely spread, many unexpected data center outages still occurred. To rescue the jobs from faulty data centers, the authors propose a novel independent job rescheduling strategy for cloud resilience to reschedule the task from the faulty data center to other working-proper cloud data centers, by jointly considering job nature, timeline scenario and overall cloud performance.

A job parsing system and a priority assignment system are developed to identify the eligible time slots for the jobs and prioritize the jobs, respectively. A dynamic job rescheduling algorithm is proposed.

The simulation results show that our proposed approach has better cloud resiliency and load balancing performance than the HEFT series approaches.

This paper contributes to the cloud resilience by developing a novel job prioritizing, task rescheduling and timeline allocation method when facing faults.

Healthcare organizations worldwide were badly hit by the “surprise” of the pandemic. Hospitals in particular are trying hard to manage problems it caused, searching for solutions to protect the health of citizens and reorienting operations. The implementation of resilience solutions in the coping phase and the ability to react promptly and redefine activities is essential. Integrating crisis management and resiliency literature, this paper discusses how health organizations were able to cope with adversity during the crisis.

The research is conducted through a case study of a large Italian hospital, the Gemelli Polyclinic Foundation, which was one of the leading hospitals in the Italian response to the pandemic.

The case reports actions taken in order to continue functioning and to maintain core activities despite severe adversity. The overall response of the Gemelli was the result of the three types of response: behavioral (effective leadership), cognitive (rapid resource reallocation) and the contextual reinforcement (multiagency network response). The authors highlight how an integrative framework of crisis management and resiliency could be applied to healthcare organizations in the coping phase of the pandemic. The experience of the Gemelli can thus be useful for other hospitals and organizations facing external crises and for overall improvement of crisis management and resilience. Responding to crisis brings the opportunity to make innovations introduced during emergencies structural, and embed them moving forward.

The paper focuses only on the coping phase of the response to the pandemic, whereas building long-term resilience requires understanding how organizations accumulate knowledge from crises and adapt to the “new normal.”

The paper responds to the call for empirical studies to advance knowledge of an integrative framework of crisis management and resiliency theories with reference to complex organizations such as healthcare.

The world is experiencing democratic backsliding such that the situation is down back to 1986. This has resulted in the global shrinking of civic space for civil society organizations (CSOs). NGOs engaging in advocacy activities are seen to be among the CSOs affected. Using four NGOs cases from Tanzania, the study contributes to the civic space debate by uncovering how advocacy NGOs become resilient.

The study is anchored in interpretivism and a cross-sectional case study design, following a qualitative approach path. Data were collected through interviews and a documentary review.

Results show that several strategies such as complying, building community back-up, collaboration, strategic litigation, using digital media and changing the scope are applied. However, strategies face obstacles including scope limitations, expected democratic roles, high cost, changes in the scope and being outsmarted by the government, and hence their effectiveness is questionable.

This study focused on advocacy NGOs. More studies can be conducted for other advocacy-related CSOs on how they become resilient.

While NGOs are allowed to exist in the country, their freedom continue to be curtailed. Even the effectiveness of resiliency becomes temporary and depends on the political will of the existing regime.

Tanzania NGOs have to build strong bonds with citizens, expand the scope of strategies and use deliberative democratic principles to educate the government to change laws and tolerate plural political culture. Also, NGOs in other countries with confined civic space can apply the same.

With the recent release of the National Standard for Mental Health and Well-Being for Post-Secondary Students, there is increased interest to integrate research and practice for mental health services on post-secondary campuses. Participant-oriented research is a useful framework to bridge this gap. This paper aims to describe the program development and evaluation process and reports challenges and lessons learned to inform future implementation strategies for similar endeavours.

A participant-oriented research approach was used to revise and evaluate an innovative interdisciplinary resilience program, entitled Roots of Resiliency, for post-secondary students.

This case analysis used the development and evaluation of Roots of Resiliency to demonstrate some of the strategies and challenges that exist for participant-oriented research related to mental health in the post-secondary context. Collaborative relationships among the various development team members contributed to an overall positive experience. Some challenges that others who work in post-secondary mental health field may consider include the need for content expertise, the ongoing need for communication among team members and the need for an effective system to give voice to all participants.

Any mental health program has a cultural component and is best co-developed by the particular students (e.g. indigenous students) who are to be served by the program. In this regard, the co-design and shared development and evaluation of the current mental health program is an example that can be emulated in other programs within the post-secondary context.

There is no doubt that the political speech of the Syrian President Bashar Al-Assad is of exceptional importance in understanding the developments of the war in Syria, and clarifies the position of all parties involved in the war, whether local, regional or international. Accordingly, and based on the dismantling of political discourse, the identification of its core, as well as its variables and major themes of this discourse, this study aims to understand the levels of complexity, paths and the fate of the war in Syria that certainly does not come free of charge, the hardest of which is the human cost whether for the victims or the displaced persons.

After a careful study of all the resilient factors in the literature review to categorize the primary data based on Assad’s discourses in the media, through a “qualitative research study” of his “interviews and discourses,” it is found that the Assad’s rhetoric is highly relevant to his tenacious presidency. The research reveals the themes that dominated Assad’s interview responses and speeches and his strategy of framing the revolution as a foreign insurgency against his government. In fact, Assad delegitimizes any semblance of the uprisings as a “pro-democracy movement” or “revolution,” denying the presence of a rebellion against his government.

By the analysis the study found out that Bashar Al-Assad continued to focus on certain reasons and issues that led to the crisis and the continuation of the war, such as the Muslim Brotherhood’s involvement, considering the Syrian opposition abroad as agents of Western countries, Syria is subject to a regional and international conspiracy, terrorism is a major scourge that must be fought and that the army is essential in resolving the battles taking place there. Likewise, emphasizing the internal dialogue with all stakeholders and involved parties is the way to solve the crisis.The Syrian President’s speeches do not focus much on the accusations against his regime from the opposition or the international parties involved in the conflict.

Assad’s resiliency has made him a distinct leader in the region. This paper analyzes the factors contributing to Assad’s resiliency. The literature review consists of the existing theories on authoritarian persistence and Assad’s power base in particular. The literature review discusses the factors that helped Assad adopts his resiliency strategies to the conflict environment. The research focuses on how Assad used the media as a platform for displaying his own manipulative narrative of the conflict. It concludes that Assad’s use of the media as his propaganda tool legitimized his rule, making it highly relevant to his persistence.

Major public cloud providers, such as AWS, Azure or Google, offer seamless experiences for infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). With the emergence of the public cloud's vast usage, administrators must be able to have a reliable method to provide the seamless experience that a public cloud offers on a smaller scale, such as a private cloud. When a smaller deployment or a private cloud is needed, OpenStack can meet the goals without increasing cost or sacrificing data control.

To demonstrate these enablement goals of resiliency and elasticity in IaaS and PaaS, the authors design a private distributed system cloud platform using OpenStack and its core services of Nova, Swift, Cinder, Neutron, Keystone, Horizon and Glance on a five-node deployment.

Through the demonstration of dynamically adding an IaaS node, pushing the deployment to its physical and logical limits, and eventually crashing the deployment, this paper shows how the PackStack utility facilitates the provisioning of an elastic and resilient OpenStack-based IaaS platform that can be used in production if the deployment is kept within designated boundaries.

The authors adopt the multinode-capable PackStack utility in favor of an all-in-one OpenStack build for a true demonstration of resiliency, elasticity and scalability in a small-scale IaaS. An all-in-one deployment is generally used for proof-of-concept deployments and is not easily scaled in production across multiple nodes. The authors demonstrate that combining PackStack with the multi-node design is suitable for smaller-scale production IaaS and PaaS deployments.

Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.

The present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.

The authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.

The present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.

The present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.