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This paper aims to show through empirical examples how five foresight methods have provided value in medicine and global health, and to argue for greater use of health foresight.

Through evaluation, literature search, and personal experiences, five approaches were identified where health foresight has shown strong value: forecasting, scenario planning, Delphi, technology roadmapping, and mass collaboration. For each approach, compelling examples are given, and usage and potential discussed.

There is great opportunity to learn from and expand on past successes, and to customize foresight methods to help decision making in medicine and global health. The range of novel applications to date provides clear evidence that applying foresight methods to health can help prepare for the future, including development of policy and health interventions.

Metrics for the impact of health foresight are not widely used, and could be a focus of future research.

By seeing compelling examples of diverse foresight methods in medicine and global health, readers will be better equipped to improve health systems and interventions, and prepare for future public health incidents.

The paper brings together discussion of a range of health foresight success stories, and suggests potential customizations of foresight for the health field. Readers who are health professionals or involved in making policy for health systems will gain a toolbox for creative planning. Readers who are foresight professionals will gain a better understanding of which foresight methods have shown value in medicine and global health, and potential refinement of foresight techniques for health applications.

The main purpose of the study is to find out the customer perception of service quality of banking sectors in Bangladesh and measure their relations with regard to the customer personal characteristics like gender, age, education and occupation.

The research method applied in this study is random sampling survey method. The data are analysed using descriptive statistics, one-way ANOVA, t-test and f-test.

The findings indicate that the overall customer perception is neutral level. Aspect like gender, age and occupation are found to be statistically significant, and education is not statistically significant.

The findings of the study will be a benchmark or the board for policymakers and implementers in torching the avenues of improvement in raising the level of customer satisfaction.

This study aims to investigate how a firm's management team's capacity to efficiently use its resources affects the firm's exposure to climate change. Specifically, the authors investigate the intriguing question – does managerial ability affect a firm's climate change exposure?

The authors use an unbalanced panel dataset of 4,230 US based firms listed on Compustat from 2002–2019 and test the hypothesis by panel regression analysis. To mitigate endogeneity concerns, difference-in-differences and instrumental variable approaches are used.

The baseline analysis shows a negative, statistically significant impact of managerial ability on climate change exposure. The findings hold after controlling for endogeneity using two-stage least squares regression and difference-in-differences tests. The authors find the negative effect is stronger for managers engaged in socially responsible activities, and after climate change issues receiving greater public awareness following the 2006 release of the Stern Review and the 2016 signing of the Paris Accord.

Motivated by the resource-based theory and the natural resource-based view of the firm model, the empirical results support the view that greater managerial ability protects the firm against environmental challenges through efficient use of firm resources. Compared with traditional climate change measures that are plagued by disclosure issues, the use of the Sautner, Van Lent, Vilkov and Zhang's machine learning based dataset utilizing earning conference calls provides stronger, robust findings that will be useful to management and investors in environmental performance assessments.

Motivated by the resource-based theory and the natural resource-based view of the firm model, the empirical results support the view that greater managerial ability protects the firm against environmental challenges through efficient use of firm resources. Compared with traditional climate change measures that are plagued by disclosure issues, the use of the machine learning based dataset utilizing earning conference calls provides stronger, robust findings that will be useful to management and investors in environmental performance assessments.

Groundwater resources are the primary source of meeting the water demand in Bangladesh. In rural areas, hand-pumped tube wells have been the primary source of drinking water. Though studies claim that Bangladesh has the potential to achieve universal safe drinking water supply coverage, the presence of excessive arsenic in the shallow groundwater sources, and the encroachment of salinity in the coastal aquifers in coastal regions (Satkhira, Khulna, Bagerhat, Patuakhali, Jhalakathi, Pirojpur, Barisal, Barguna etc.) hind the path. The concerned authorities of government and other non-government organizations assist the coastal people with alternative technologies like Desalination Plant, Arsenic-Iron Removal Plant, Pond Sand Filtration (PSF), Managed Aquifer Recharge, Rainwater Harvesting System, Installation of Shallow, and Deep Tube Wells. But based on case studies and surveys, this article shows how these existing technologies fail to ensure water safety within the coastal areas. The Singaporean water management policy is an example, this article advocates for necessary government intervention to ensure safe drinking water in coastal areas.

Throughout history, tea garden workers are treated as slaves of employers and live an inhuman life in modern society. This paper aims to provide an account of the deplorable community (workers) of the tea garden in Bangladesh.

The authors used a mixed-method research approach to conduct this study. In the first stage, using a semi-structured questionnaire, Focus group discussions (FGDs) were done by forming two groups from two districts to get a clear picture of the tea garden workers’ living standards in Bangladesh. Based on the findings of the FGD, the researchers prepared a structured questionnaire containing the basic elements of their quality of work life. In this stage, the authors collected the information from 200 tea workers about their quality of work life.

The major finding showed that the overall country’s economy is booming because of tea workers’ contributions, but their economic conditions gradually become impoverished. The workers’ are living with colossal poverty and vulnerability. Besides, the workers are supposed to get fundamental rights, including food, clothing, shelter, education and health, but the higher authorities were found indifferent to take the necessary initiative to implement these rights.

The data was collected only from the tea garden workers. This study excluded any other parties (trade union leaders, panchayats, garden managers and owners). Thus, it is suggested that the researchers should conduct a similar study covering the opinion, including all the parties.

Both the workers and the higher authorities of the tea garden might benefit from this study’s findings. Workers will be more aware of their basic rights. The authorities can also prepare some effective policies to improve the overall quality of life of the tea workers.

To the best knowledge of the authors, this is the first study on tea garden workers’ inhuman life in Bangladesh in the entire emerald insight publishers.

The purpose of this paper is to analyze annual reports through content analysis. Corporate social responsibility reporting (CSRR) extent and type are measured by the number of sentences. CSRR are further classified into three subcategories according to whether they are negative, neutral or positive reports and then their proportions compared through descriptive analysis.

This paper seeks to examine and identify factors influencing CSRR practices of local oil companies (LOCs) in Nigeria. It aims at distinguishing CSRR levels by examining both the quantity and quality of reporting.

For the extent of CSRR, employee-related information was the most reported category with community reports being of greater quality in the LOCs. The majority of the total CSRR in the LOCs was positive with very little evidence of negative news.

The measurement of CSRR focuses only on annual reports, without consideration of other reporting media, such as standalone reports. CSRR are assumed to be voluntary for the companies, and they may choose not to report any information in annual reports, as there are no regulations or reporting guidelines in Nigeria to be followed.

The main contribution of this study lies in identifying the factors that have led to diversity and uniqueness in CSRR in LOCs. As such, this study seeks to contribute to the development of understanding multiple factors that could give rise to changing patterns of CSRR.

The purpose of this paper is to examine the mediating role of organizational commitment (OC) on the relationship between human resource management (HRM) practices and employee engagement among banking employees in the context of an emerging economy namely Bangladesh.

The survey data include 383 employees from 30 private commercial banks in Bangladesh. For analyzing the data, structural equation modeling is employed with the bootstrapping method.

This study finds that HRM practices such as career advancement, employee participation, job security, performance feedback, rewards and recognition, training and development are the significant predictors of employee engagement. Results also identify OC as a partial mediator on HRM practices and employee engagement relationship which suggest that direct relationship of predictors and criterion variables are stronger than indirect association. More interestingly, findings indicate that the mechanism of black-box stage is not always work on the relationship between HRM practices and employee performance.

Exploring the role of OC on the relationship between HRM practices and employees’ behavioral outcome, i.e. employee engagement, is appeared as an initial effort in the academic literature. Furthermore, empirical research that examines the association of different organizational factors with employee engagement through OC is rarely been investigated. Thus, the findings of this study act as a strategic tool for the bank managers to design their organizational policies in such a way that fosters their employee’ level of engagement.

This paper aims to examine the behavioural intention of donors or crowd funders to use crowdfunding-waqf model (CWM), as this model is proposed to address the liquidity problem faced by waqf institution in Malaysia.

The primary data are collected from the survey administered to donors or crowd funders in Klang Valley and the analysis is conducted using Partial Least Squares (PLS). The model has validated its acceptance in the field by adopting the theory of Technology Acceptance Model (TAM).

This study has revealed that both the perceived usefulness and perceived easy to use are found to have a positive impact on the intention of donors or crowd funders in assisting waqf institution to develop waqf land in Malaysia. Furthermore, perceived easy to use has a positive relationship and direct effect with perceived usefulness of crowd funders to use the CWM.

The variables that have been used based on TAM in this study are constantly in flux. There are other variables such as trust, social norm, orientations that might be affecting the adoption level of donors or crowd funders in Malaysia. In addition, the current study is covering only Klang Valley, Malaysia. Future research is nevertheless still required that incorporate other variables and extend the study to other states of Malaysia.

The findings of this paper will provide waqf institution with an alternative source for raising capital to develop waqf asset. The present study also has implications for government and policy makers.

To the best of the author’s knowledge, no study has incorporated an element of crowdfunding to develop waqf land. Thus, the present study is relevant in extending the importance of crowdfunding as a source of financing for waqf institutions in developing waqf land.

This study examined the impact of war/conflict-related news on the Russian and Ukrainian stock markets in the build-up and beginning of the war that sparked in the year 2022.

In order to examine the impact of war-related news on stock returns, data were gathered from the United States (US) and Russian stock indices, oil price and volatile index (VIX) from Yahoo.finance; Ukrainian stock values from pfts.ua website and daily related news retrieved from nexis.com were analysed. The data were gathered from January 1, 2022 to February 24, 2022. Seeming unrealated regressions (SUR) and exponential generalised autoregressive conditional heteroscedastic (EGARCH) models were carried out to determine the formulated correlations. This study controlled the oil price, US stock returns, Chicago Board Options Exchange (CBOE) VIX and difference in stock returns of Russia and Ukraine.

The results are presented two-fold: first, war-related news between the two countries enhanced volatility and caused a significant decline in the stock market indices for both countries. Second, the Russian stock market faced a steeper decline in the build-up and the actual beginning of the war than the Ukrainian stock market. Notably, the Russian markets feared the adverse economic consequences that stemmed from the sanctions the US and the Western world imposed.

As this study was based on early evidence, future studies with a longer window may provide better insights. This present study is restricted to the stock returns of the countries directly involved in the build-up towards war. Studies focusing on the impact of other asset classes, currencies, commodities and global stock markets might offer holistic insights.

The study outcomes suggest that global portfolio investors should stay away from stock markets of the war-raged countries and equity markets in general, but instead look for safe-haven assets.

The paper evaluates stock markets' performance during the pre-war period, considering the context of this historical war between the neighbours. It is important to understand this issue as this war is subject to sanctions by the US and leads to a global supply chain crisis.

This study aims to examine the impacts of climate change (CC), measured average annual rainfall, average annual temperature and carbon dioxide (CO₂e) on cereal production (CPD) in Bangladesh by using the annual dataset from 1988–2014, with the incorporation of cereal cropped area (CCA), financial development (FD), energy consumption (EC) and rural labor force as important determinants of CPD.

This study used an auto-regressive distributive lag (ARDL) model and several econometric approaches to validate the long- and short-term cointegration and the causality directions, respectively, of the scrutinized variables.

Results of the bounds testing approach confirmed the stable long-term connections among the underlying variables. The estimates of the ARDL model indicated that rainfall improves CPD in the short-and long-term. However, CO₂e has a significantly negative impact on CPD both in the short-and long-term. Results further showed that temperature has an adverse effect on CPD in the short-term. Among other determinants, CCA, FD and EC have significantly positive impacts on CPD in both cases. The outcomes of Granger causality indicated that a significant two-way causal association is running from all variables to CPD except temperature and rainfall. The connection between CPD and temperature is unidirectional, showing that CPD is influenced by temperature. All other variables also have a valid and significant causal link among each other. Additionally, the findings of variance decomposition suggest that results are robust, and all these factors have a significant influence on CPD in Bangladesh.

These findings have important policy implications for Bangladesh and other developing countries. For instance, introduce improved cereal crop varieties, increase CCA and familiarizes agricultural credits through formal institutions on relaxed conditions and on low-interest rates could reduce the CPD’s vulnerability to climate shocks.

To the best of the authors’ knowledge, this study is the first attempt to examine the short- and long-term impacts of CC on CPD in Bangladesh over 1988–2014. The authors used various econometrics techniques, including the ARDL approach, the Granger causality test based on the vector error correction model framework and the variance decomposition method.