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Amid the multitude of economic effects emanating from impositions of COVID-19, workers in the tourism sector are potentially experiencing significant psychosocial impacts. These effects are compounded by the uncertainty of pathways for positive change and the precariousness of adjustments to life and livelihoods. Their attitudes to the newly imposed circumstances are possibly conditioned by a sense of hope which may have implications for their adaptations in the face of sudden or slow change. In this chapter, we argue that one’s sense of hope represents an important component of psychosocial well-being and may even be visualized as a necessary component of adaptation. Hope is conceptualized as a cognitive process that entails thinking and planning in order to achieve proposed goals (Snyder, Irving, & Anderson, 1991; Snyder, Lopez, Shorey, Rand, & Feldman, 2003) and can be operationalized into three core components: goals, pathways, and agency. Based on in-depth interviews and a questionnaire survey administered to former accommodation workers in the Negril tourism industry, this chapter examines expressions of hope(lessness) existing among workers displaced by COVID-19. It potentially provides nuanced understandings of hope as a necessary raw material for adaptation initiatives and explores ways in which a sense of hope could be harnessed in the face of disasters and despair.

An efficient e-waste management system is developed, aided by deep learning techniques. Here, a smart bin system using Internet of things (IoT) sensors is generated. The sensors detect the level of waste in the dustbin. The data collected by the IoT sensor is stored in the blockchain. Here, an adaptive deep Markov random field (ADMRF) method is implemented to determine the weight of the wastes. The performance of the ADMRF is boosted by optimizing its parameters with the help of the improved corona virus herd immunity optimization algorithm (ICVHIOA). Here, the main objective of the developed ADMRF-based waste weight prediction is to minimize the root mean square error (RMSE) and mean absolute error (MAE) rate at the time of testing. If the weight of the bins is more than 80%, then an alert message will be sent to the waste collector directly. Optimal route selection is carried out using the developed ICVHIOA for efficient collection of wastes from the smart bin. Here, the main objectives of the optimal route selection are to reduce the distance and time to minimize the operational cost and the environmental impacts. The collected waste is then considered for recycling. The performance of the implemented IoT and blockchain-based smart dustbin is evaluated by comparing it with other existing smart dustbins for e-waste management.

The developed e-waste management system is used to collect the waste and to avoid certain diseases caused by the dumped waste. Disposal and recycling of the e-waste is necessary to decrease pollution and to manufacture new products from the waste.

The RMSE of the implemented framework was 33.65% better than convolutional neural network (CNN), 27.12% increased than recurrent neural network (RNN), 22.27% advanced than Resnet and 9.99% superior to long short-term memory (LSTM).

The proposed E-waste management system has given an enhanced performance rate in weight prediction and also in optimal route selection when compared with other conventional methods.

Diet therapy or nutritional therapy has become a real challenge in the fight against the increasing number of modern illnesses such as obesity, diabetes, cardiovascular diseases and cancers. The scientific community has recognized the importance of studies that will support or rebut the association of certain nutrition/energy inputs with the prevention and/or improvement of certain diseases. Patient counseling is offered by medical doctors, nutritionists and dieticians, but patients often seek additional sources of information from popular media that may not be adequately scientifically supported. Whose responsibility is it when the Diet Therapy is not an effective treatment and where does the consequent ethical and moral responsibility lie?

This chapter argues for the importance of a nutritionally educated scientist evaluating the diets that are seen to be related with the health improvement also excluding diets that are mostly related to the patients’ well-being as the Mediterranean, DASH (Dietary Approaches to Stop Hypertension), Ketogenic and Vegetarian diet. Diet guidelines are often explained with linguistic variables (as “reduce the input of” etc.) which can be differently perceived by the end user. The interpretation if a linguistic variable is presented using the body mass index categories using a bell-shaped curve. The preferable area fits to the linguistic variable “acceptable BMI.” But also are indicated those areas which are less preferable. Those examples of information interpretations show the necessity of knowledge transfer. The quantity of information presented in diet guidelines can be experienced as a great muddle for patients; leaving them not knowing where and how to start. So, remains the ethical and moral responsibility of all links in the chain of nutritional and diet research and recommendations. Only objective and open-minded recommendations based on the latest scientific facts can gain confidence of the social, economical, and political subjects which must put the well-being of the population uppermost in their mind.

Globally, health care facilities often fail to respond quickly to health emergencies, resulting in significant deaths. Thus, the study examines the mediating effect of logistics capabilities in the relationship between co-evolution, organization capacity building and operational agility.

SmartPLS 4.0.8.3, variance-based structural equation models (VB-SEM) were used to test direct and indirect hypotheses across 45 health facilities. The respondents were 140 nurses and doctors. Disproportionate stratified simple random sampling was used based on government and private health facilities in Kampala City, Uganda.

A significant and positive relationship exists between logistics capability and operational agility. However, co-evolution and organizational capacity are intimately linked to operational agility via logistics capability.

A quantitative cross-sectional survey was conducted using self-administered questionnaires. The results did not show any variation in the operational agility of health facilities during emergency management; thus, qualitative approaches are needed.

During emergency management, health facilities need to cooperate by sharing information, building capacity to increase their responsiveness and flexibility. This should be done by sharing equipment, tools, drugs and medical supplies, and we hope to encourage joint medical research.

A complex adaptive systems (CAS) framework is used in this study to examine how co-evolution, organizational capacity building and logistical capability relate to the operational agility of healthcare during times of emergency.

This paper aims to analyze the impact of Covid-19 on the stock market volatility and uncertainty during the first and second waves.

This study has applied event study and autoregressive integrated moving average models using daily data of confirmed and death cases of Covid-19, US S&P 500, volatility index, economic policy uncertainty and S&P 500 of Bombay Stock Exchange to attain the purpose.

It is observed that, during the first wave, the confirmed cases and the fiscal measure have a significant impact, while the vaccination initiative and the abnormal hike of confirmed cases have a significant impact on the US stock returns during the second wave. It is further observed that the volatility of Indian and US stock markets spillovers during the sample period. Moreover, a perpetual correlation between the Covid-19 and the stock market variables has been noticed.

At present, the world is experiencing the third wave of Covid-19. This paper has considered the first and second waves.

It is expected that business leaders, stock market regulators and the policymakers will be highly benefitted from the research outcomes of this study.

This paper briefly highlights the drawbacks of existing policies and suggests appropriate guidelines to successfully implement the forthcoming initiatives to reduce the catastrophic impact of Covid-19 on the stock market volatility and uncertainty.

The COVID-19 outbreak has been accompanied by a massive “infodemic”, characterized by an overabundance of information, both accurate and inaccurate, making it hard for people to find trustworthy sources and reliable guidance. This study aims to investigate how the COVID-19 infodemic (i.e. information overload and untrustworthiness) influences consumers’ emotions (i.e. fear, anxiety and hope) by shaping their cognitive appraisals of the pandemic (i.e. perceived risk and uncertainty). Additionally, this study also investigates how individual differences (i.e. COVID-19 involvement and infection experience) impact their emotion formation process.

Data were collected from 815 US consumers aged between 18 and 65 in November 2021 via an online survey. Structural equation modeling and multi-group comparison from AMOS 23 were used to test the proposed relationships.

Information overload increased one’s perceived risk and perceived uncertainty of COVID-19, which, in turn, structured the emotional states of fear, anxiety and hope. Information untrustworthiness had a significant impact on risk perception, which led to an increased feeling of fear. Additionally, individuals’ COVID-19 involvement and their infection experience with the coronavirus were found to moderate the cognitive appraisal process in developing emotions.

This study offers insights into the relationships between the information landscape and cognitive appraisals regarding health crises, specifically the COVID-19 pandemic. Not only enriching emotional well-being literature, it also lends managerial implications for effective communication strategies in global health emergencies.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2023-0616

Oil‐in‐water (O/W) emulsion has been used in industrial rolling mills for many decades, but its lubrication mechanism is still not adequately understood. There is a need to understand the role of chemical ingredients and emulsifier in lubrication and tribological characteristics of rolling oil. With this purpose, the authors selected three commercially available O/W emulsions of different generations and of known industrial performance. The aim is to understand the lubrication mechanism of these rolling oils and to correlate the laboratory findings with that of industrial rolling mills.

The lubrication mechanism has been studied with the help of an ultra thin film interferometry EHD test rig, an advanced experimental rolling mill and a Coulter LS 230 instrument. Film thickness, rolling parameters and droplet size were measured. The coefficient of friction was computed with the help of the measured values of rolling parameters. Emulsion stability and saponification value (SAP) of the selected emulsions were also determined. The results of film thickness, rolling parameters and droplet size have been presented. The lubrication mechanism of the emulsions has been explained on the basis of film thickness, droplet size, emulsion stability, SAP value and coefficient of friction.

Results of the present study reveal that chemistry of O/W emulsions plays an important role in their film forming and tribological behavior. Rolling emulsions of relatively low stability, higher droplet size and high SAP value are found to provide better lubrication and lower coefficient of friction. The results of the present study correlate well with the actual industrial experience except those obtained on EHD test rig.

Coulter LS 230 instrument was available with M/s LUBRIZOL CORP., USA. Only limited study on droplet size was carried. Although the study carried out has given good information but it would have been more practical if the emulsion samples taken from the experimental mill stand would have been studied for droplet size.

From understanding point of view of lubrication mechanism of O/W emulsion, it will be useful for oil technologists, tribologists and rolling mill users.

The study is original in nature and gives information on lubrication mechanism of O/W emulsions in steel cold rolling of steel strips.

This study explores the determinants of public willingness to comply with COVID-19 regulations to address the research gap at the intersection of public health and law enforcement within the unique sociocultural context of Taiwan.

Utilizing survey data from New Taipei City in 2021, the analysis involved multiple linear regression models to assess the influences of psychological conditions (i.e. distress and self-efficacy), community compliance and perceptions of government (i.e. general trust in government and specific perceptions of police procedural justice) on compliance tendencies while controlling for individual demographics.

The results indicated that self-efficacy, perceived community compliance, trust in government, and police procedural justice are positively associated with public compliance with COVID-19 regulations. Among these variables, trust in government and police procedural justice were identified as the most prominent factors, followed by self-efficacy and perceived community compliance. As demographic factors such as age, gender and education did not significantly affect willingness to comply, psychological, social and governmental influences are more powerful determinants of compliance than static demographic characteristics.

This study provides empirical evidence from Taiwan on the factors shaping public compliance during an unprecedented global pandemic. It highlights the importance of fostering governmental trust and enhancing police procedural justice during periods of stability to secure compliance with public health directives in times of crisis.

This study aims to empirically examine the effects of smart cities on sustainable development for the period 1990–2019 for Türkiye.

The relationship between smart cities and sustainable development was analyzed with the help of the ARDL Bounds Test. In addition, the consistency of the model was tested with the FMOLS estimator. The indicators of the smart city were selected following the literature to represent smart cities, and the author created the smart city index. The study used other variables thought to impact sustainable development as secondary data.

The results show that smart cities positively and significantly impact sustainable development in Turkiye in both models during the sampling period. In addition, while real GDP, population density, and financial development variables positively affect sustainable development, population density has a negative effect on sustainable development, according to the results obtained from FMOLS estimators.

The first novelty of this study is the creation of the smart city index. The second novelty is that there are almost no studies on the effects of smart cities on sustainable development, especially for Türkiye.

Based on Indian conceptualisation of workplace spirituality, this study aims to examine the linkage between four dimensions of workplace spirituality (swadharma, authenticity, lokasangraha and sense of community) and work-to-family (WTF) enrichment. It also explored the mediating effect of psychological and social capital and the moderating effect of gratitude.

A sample of 387 women employees of Indian hospitality industry was collected in three waves. The collected data were analysed in three stages. Firstly, reliability, validity and multicollinearity were assessed using appropriate statistical measures like Cronbach’s alpha, composite reliability and average variance explained. Secondly, the relationship between four dimensions of workplace spirituality and WTF enrichment were examined using correlation and hierarchical regression. Several demographic variables like marital status, age, experience and income level were controlled. Thirdly, the moderating effect of gratitude and mediating effects of psychological and social capital were analysed using PROCESS macro.

The results showed adequate reliability and validity estimates. Also, four dimensions of Indian workplace spirituality were significantly related to WTF enrichment with these dimensions of workplace spirituality collectively explaining 46.8% variations in WTF enrichment. The results also concluded significant meditating effect of psychological and social capital. It also asserted significant moderating effect of gratitude.

The study is based on longitudinal data collected to test seven hypotheses of the study.