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This study aims to investigate the mediation effects of employee voice and employee well-being on the relationship between relational leadership and organizational citizenship behavior.

This study used a Web-based survey method to collect data from 301 respondents in the four public hospitals of the Sekondi-Takoradi Metropolis. This study used PLS-SEM (WarpPLS) to test the study’s hypotheses.

The findings show that relational leadership has a positive impact on organizational citizenship behavior, and that this link is mediated in part by both employee voice and employee well-being.

This study demonstrates the importance of leaders, paying close attention to employees’ well-being and opinions when attempting to drive organizational citizenship behavior in the health sector.

Based on the review of the extant literature on the impact of leadership on employee behavior and to the best of the authors’ knowledge, it is likely that this study will be the first to show how relational leadership, employee voice, employee well-being and organizational citizenship behavior are related in the health sector, thereby advancing the thrusts of the social exchange and relational leadership theories.

Heating, ventilating, air-conditioning and cooling (HVAC) systems are crucial in daily health-care facility services. Design-related defects can lead to maintenance issues, causing service disruptions and cost overruns. These defects can be avoided if a link between the early design stages and maintenance feedback is established. This study aims to use experts’ experience in HVAC maintenance in health-care facilities to list and evaluate the risk of each maintenance issue caused by a design defect, supported by the literature.

Following semistructured interviews with experts, 41 maintenance issues were identified as the most encountered issues. Subsequently, a survey was conducted in which 44 participants evaluated the probability and impact of each design-caused issue.

Chillers were identified as the HVAC components most prone to design defects and cost impact. However, air distribution ducts and air handling units are the most critical HVAC components for maintaining healthy conditions inside health-care facilities.

The unavailability of comprehensive data on the cost impacts of all design-related defects from multiple health-care facilities limits the ability of HVAC designers to furnish case studies and quantitative approaches.

This study helps HVAC designers acquire prior knowledge of decisions that may have led to unnecessary and avoidable maintenance. These design-related maintenance issues may cause unfavorable health and cost consequences.

This paper aims to determine, which values guide consumers decision-making on natural health products for concentration and cognition (NHPCC) and how they link to choice-relevant product attributes. The purpose is to contribute to a better understanding of NHPCC consumption choices, which can encourage more consumer-centric product development and positioning.

Based on the means-end chain approach, in-depth laddering interviews with 26 consumers of NHP were conducted in Germany from October to December 2020. Qualitative content analysis was applied and a hierarchical value map over the dominant association was built and analyzed.

Five terminal values were found to be relevant for NHPCC decision-making. The personal focused values security, self-direction and stimulation are via health mainly associated with trust and a conscious decision-making, which is linked to the product attributes of effectiveness, tolerance and declaration. Social focused values of universalism or benevolence guide attention on the attributes of sustainability and regionality.

The study contributes to close the knowledge gap concerning the linkages between abstract values and concrete product attributes of NHP through associated consequences. To the best of the authors’ knowledge, this is the first study that analyzed these links for NHPCC, although such products are gaining more interest among companies and consumers. Companies can benefit from the outcomes by developing more consumer-centric product concepts and marketing communication strategies for NHPCC. Due to higher attention on relevant information, consumers’ decision-making could become safer and more conscious.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.

The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.

The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.

The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.

Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.

First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.

As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.