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From the perspective of developing countries, studies regarding the behavioral effects of quitting tobacco consumption on emerging psychological determinants are limited. The purpose of this paper is to examine the influence of emotional intelligence (EI), social norms, susceptibility and self-efficacy on the behavioral effects of quitting tobacco consumption among young smokers in developing countries.

By reviewing existing literature, this study developed a conceptual model to test the influences of significant psychological determinants in regards to a young smoker’s intention to quit smoking. Accordingly, a survey instrument was designed to collect data from young smokers in Bangladesh using the convenience sampling method. A total of 500 self-administered questionnaires were distributed, out of which only 400 questionnaires were used in final data analysis. This study applied partial least square structural equation modeling (PLS-SEM) to test the proposed model.

Perceived EI, perceived social norms and perceived susceptibility were found to have significant direct positive effects on intention to quit smoking. Perceived susceptibility and perceived self-efficacy were observed to have moderating effects on intention to quit smoking through perceived EI and perceived social norms respectively. However, perceived self-efficacy was not found to have any significant direct effect on intention to quit smoking.

This is the first study of its kind which combined EI, susceptibility, self-efficacy, and social norms in one theoretical framework to explain a young smoker’s intention to quit smoking. Also, in the context of Bangladesh and similar developing countries, there are no such studies which used the psychological components investigated in this study to predict a young smoker’s intention to quit smoking. Thus, the findings bring us closer to the goal of a tobacco-free society by allowing policy makers, NGOs, broader communities, and ultimately individual citizens to understand the psychological predictors of quitting tobacco consumption among young smokers in developing countries.

Stakeholders affiliated with healthcare services should understand patient attitudes and criteria that are involved in selecting a personal physician. The purpose of this paper is to identify the factors that are significant to patients in selecting or deselecting physicians as providers of healthcare services.

The research structure was set to theorize the physician selection criteria (PSC) model into two phases. The first phase developed a conceptual model as revealed from healthcare consumer perceptions. The second phase was designed to test and validate the model through cause–effect statistical analysis underpinned by theoretical explanations through an empirical study.

Through an empirical study of benchmarking perceptions of people from 15 different countries, qualitative PSC were gathered and used to formulate an initial PSC model. Based on the proposed model, a validity test was conducted, and finally, the PSC model was developed, resulting in several interesting and self-explanatory outcomes.

The model was tested in only one (relatively cosmopolitan) city. For proper generalization, it should be tested in countries with differing healthcare service systems.

The results of this study are interesting, important and have potential values to academics and medical professionals. The study provides strong evidence that a physician’s external approach to patients is the most significant issue for patients seeking medical services. This does not refer to basic medical services, but rather the treatment process, where the physician’s behavior and positive attitude has the strongest effect on the patient’s decision to choose one physician over others.

Final PSC model has identified some significant theoretical explanations for academics and professional justifications for practitioners.

The shipbreaking sector in Bangladesh has spurred extensive academic and policy debates on relations between shipbreaking industries, environmental degradation and the health security of their workers. As shipbreaking is an economically significant industry in Bangladesh, it needs to implement both domestic and global mechanisms for environmental conservation and the protection of the labourers’ health from environmental risks. The purpose of this paper is to primarily explore the environmental and health security issues in shipbreaking activities in Bangladesh. It also identifies the challenges in implementing the rules and regulations for protecting the health of the workers at shipbreaking yards in Bangladesh and preserving the marine environment.

This is a qualitative paper based on secondary materials, including journal articles, books and national and international reports. It critically reviews the existing literature, rules, regulations and policing on shipbreaking with a particular focus on the environment and health security of the workers.

This paper finds that the implementation of the rules and regulations in shipbreaking in Bangladesh is complicated because of weak implementation mechanisms, political and economic interests of the yard owners, lack of coordination among different agencies, lack of adequate training and awareness among the workers and workers’ poor economic condition, which contribute to the degradation of marine and local environments and trigger health hazards among the workers. Therefore, degrading the environment and undermining occupational health and safety regulations have become regular; thus, accidental death and injury to the workers are common in this sector.

This paper is an important study on the issues of workers' health and safety and environmental hazards in the shipyard. It reports how the health security of the workers in shipbreaking yards in Bangladesh is vulnerable, and environmental rules are challenged. Finally, this paper frames some policy implications to safeguard the workers’ health rights and the marine environment.

This paper aims to evaluate the prevalence of general obesity (GO) and abdominal obesity (AO) in the north-west of Iran and investigate the association with food choices and socioeconomic status (SES).

In this cross-sectional study, 500 subjects aged ≥ 18 years were studied. Data on their basic characteristics, anthropometric measurements, dietary habits and physical activity were collected. The authors examined the association between GO and AO with SES and food choices using multiple logistic regression analysis.

The prevalence of GO and AO was 26.6 and 43.4%, respectively. A positive association was observed between age and GO (p for trend <0.001) and AO (p for trend 0.005) in both sexes. However, a negative correlation was detected between education and income with GO and AO (p for trend <0.001). Two or more servings of fruit consumption a day were associated with lower odds of obesity. It was observed that the odds of GO and AO decreased by three or more servings of daily fruit. The consumption of dairy products in two or more servings a day led to a reduction in odds of GO and AO. The consumption of five or more servings of legumes, beans and nuts a week was associated with lower odds of GO and AO.

Educational attainment, greater income and a higher intake of some specific food groups were associated with lower odds of obesity in the area. More population-based investigations are required to develop effective preventive strategies to control the status of being overweight and obesity in different regions.

The paper aims to identify the differences between developed and developing country firms with respect to firm-specific and country-level determinants of their capital structure. For this purpose, all constituent firms in one of the oldest Islamic equity indices, Dow Jones Islamic Market World Index (DJIM), are considered and the Muslim-majority status of each firm's domicile country is recognized.

The study employs Hausman–Taylor random effects regression with endogenous covariates to explain the debt ratios of firms in DJIM by separating them into developed and developing country subsamples in an unbalanced panel data setting. Developing country subsample is further split into two based on the Muslim-majority status of each firm's domicile country.

Consistent with the previous literature, this study finds that firm-specific characteristics are the main determinants of their capital structure. Additionally, the paper shows that country-level characteristics have an impact on the debt ratio, however, the types of factors vary across developed and developing countries. Debt ratios in developing country firms are lower than those in developed country firms, largely due to the significantly smaller leverage ratios of firms in Muslim-majority countries. Although the debt ratios of DJIM firms are higher in “non-Muslim” countries, the set of firm-level capital structure determinants are not statistically explained by operating in a “Muslim” country. The study also documents that, before the global financial crisis of 2008, companies in developing countries have gradually become less leveraged worldwide.

This paper provides a new perspective into the differences between developed and developing country firms' capital structures by focusing on a relatively homogeneous data set restricted by leverage screening rules of an Islamic equity index and recognizing the Muslim-majority status of each firm's domicile country.

Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management.

This study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software.

This study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC.

This study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC.

The conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.