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This paper on the prevalence of attention deficit hyperactive disorder (ADHD) in schools holds immense significance due to its unique contribution to the existing body of knowledge. This study stands out as one of the few conducted in Uganda and the entire African continent. The purpose of this study is to establish the prevalence of ADHD symptoms in government primary schools in Wakiso District, Uganda. And also inform educational policies and interventions tailored to address the needs of children with ADHD in Uganda and globally.

The research paradigm adopted was pragmatism, an explanatory sequential mixed methods approach was used, with a quantitative sample of 1,067 participants (learners), 64 teachers who underwent a series of training to equip them with the necessary knowledge about ADHD filled questionnaires for the 1,067 learners, four teachers selected in each school, one teacher per class and a qualitative sample of 32 teachers and one key informant from 16 primary schools. Random and purposive sampling was used. The strengths and weaknesses of ADHD symptoms and normal behavior scale questionnaire was used for quantitative data collection, while qualitative data was gathered through interviews, observations and focus group discussion.

The results revealed an overall prevalence of ADHD symptoms of 11.60%, with inattention symptoms being more dominant than hyperactive/impulsivity symptoms (8.82%). There was no significant difference in prevalence between boys and girls, with primary one pupils having the highest prevalence of symptoms and primary four pupils having the lowest. Pupils aged 10–13 may be less susceptible to ADHD symptoms. The most prevalent symptoms were linked to interrupting or intruding behavior, failure to give attention to detail and inability to play quietly. Qualitative data from the key informant’s observations and teacher focus groups supported these findings.

Limited geographic scope: The study was conducted in only one district, Wakiso, in Uganda. However, this district is very densely populated with people from different cultural and economic background, making it representative of the entire country Uganda. While the response rates for both the quantitative and qualitative components were relatively high (95% and 84%, respectively), there is a possibility that those who chose to participate may have different experiences. But the response rate provided sufficient data for analysis according to the researcher.

The researcher recommends that further research is needed in other districts; also, there is a need to develop early intervention strategies for teachers and parents with ADHD children. More research is needed to better understand the primary causes and risk factors associated with ADHD in primary school children.

This study stands out as one of the few conducted in Uganda and the entire African continent on ADHD. By addressing this research gap, the paper adds valuable insights to the field of ADHD research, shedding light on the prevalence of ADHD symptoms, which can be used to investigate the impact of ADHD on academic performance within the Ugandan education system further. The findings of this study have the potential to inform educational policies and interventions tailored to address the needs of children with ADHD in Africa and beyond.

This paper delves into evaluating the effectiveness of warning messages as a deterrent against excessive fat consumption. It examines how consumers perceive the fat content of food products when presented with two distinct label types: (1) a textual warning, providing succinct information about the fat content, and (2) a pictorial warning, offering a visual representation that immediately signifies the fat content.

Two quantitative studies were carried out. Study 1 employed a questionnaire to evaluate the efficacy of textual and pictorial warning messages on high- and low-fat food products. Similarly, Study 2 replicated this comparison while incorporating a neuromarketing instrument to gauge participants’ cerebral reactions.

Results indicate that pictorial warnings on high-fat foods significantly deter consumers’ purchasing intentions. Notably, these pictorial warnings stimulate the left prefrontal area of the cerebral cortex, inducing negative emotions in consumers and driving them away from high-fat food items.

While the influence of images over text in shaping consumer decisions is well understood in marketing, this study accentuates the underlying mechanism of such an impact through the elicitation of negative emotions. By understanding this emotional pathway, the paper presents fresh academic and managerial perspectives, underscoring the potency of pictorial warnings in guiding consumers towards healthier food choices.

1. Textual warnings do not seem to discourage high-fat product consumption.

2. A pictorial warning represents the fat content of an equivalent product.

3. Pictorial warnings decrease the intention to purchase a high-fat product.

4. Pictorial warnings determine an increase in negative emotions.

Textual warnings do not seem to discourage high-fat product consumption.

A pictorial warning represents the fat content of an equivalent product.

Pictorial warnings decrease the intention to purchase a high-fat product.

Pictorial warnings determine an increase in negative emotions.

This study aims at analyzing the detrimental cross-level serial effects of leaders' Machiavellianism and abusive supervision on subordinates' burnout and task performance. The general aggression model and conservation of resources theory guide our research model.

The authors developed a multilevel design and used multisource data. The authors collected data from 50 bank branches located in Pakistan. A total of 50 branch supervisors participated, which yielded 200 supervisor-subordinate dyads. Machiavellianism was self-assessed by the supervisors who further rated the specific task performance of each of their respective subordinates. Burnout and abusive supervision ratings were provided by the subordinates. Abusive supervision scores were aggregated at the group level.

Machiavellianism has an indirect negative effect on individual-level task performance through the serial cross-level mediating effects of abusive supervision at the group level and attendant individual-level burnout.

Findings provide practical implications for the management of task performance and human resources.

This study offers a comprehensive cross-level model to analyze the effect of Machiavellianism on group-level and individual-level outcomes known to affect the effectiveness of leaders.

This paper examines the effect of ESG ratings and its dimensions (environmental, social and governance) on the financial performance of JSE-listed firms included in FTSE/JSE Responsible Investment Index.

The paper employs panel data covering 40 JSE-listed firms included in FTSE/JSE Responsible Investment Index between 2015 and 2019. The paper employs the two-stage least squares (2SLS) instrumental variable regression technique to estimate the effect of ESG ratings and its dimensions (environmental, social and governance) on both accounting- and market-based performance indicators.

The results of the two-stage least squares instrumental estimation analysis reveal that investment in ESG initiatives improves both accounting- and market-based indicators of financial performance. Of the ESG pillars, the paper finds environmental initiatives improves firms' financial bottom line and market performance, while a firm's social and governance practices are observed to have no effect on a firm's accounting and market performance measures.

The insights from this study proffers policy implications for firms' management, investors and regulatory authorities.

As far as the authors are concerned, this paper presents the first empirical analysis on the contribution of ESG ratings on financial performance in South Africa.

Near-fault pulse-like ground motions have distinct and very severe effects on reinforced concrete (RC) structures. However, there is a paucity of recorded data from Near-Fault Ground Motions (NFGMs), and thus forecasting the dynamic seismic response of structures, using conventional techniques, under such intense ground motions has remained a challenge.

The present study utilizes a 2D finite element model of an RC structure subjected to near-fault pulse-like ground motions with a focus on the storey drift ratio (SDR) as the key demand parameter. Five machine learning classifiers (MLCs), namely decision tree, k-nearest neighbor, random forest, support vector machine and Naïve Bayes classifier , were evaluated to classify the damage states of the RC structure.

The results such as confusion matrix, accuracy and mean square error indicate that the Naïve Bayes classifier model outperforms other MLCs with 80.0% accuracy. Furthermore, three MLC models with accuracy greater than 75% were trained using a voting classifier to enhance the performance score of the models. Finally, a sensitivity analysis was performed to evaluate the model's resilience and dependability.

The objective of the current study is to predict the nonlinear storey drift demand for low-rise RC structures using machine learning techniques, instead of labor-intensive nonlinear dynamic analysis.

Travel decreased dramatically during the initial wave of the COVID-19 pandemic, only to return rapidly to prepandemic levels once the degree of fear toward the virus began to diminish among potential travelers. This USA-based 16-month repeated-measure cross-sectional survey study aims to explore the degree to which fear of COVID affected people’s decisions to stay home rather than to travel during the pandemic.

The research used survey data. An extensive data set, composed of over 9,500 respondents, collected through Mechanical Turk over a 16-month time period, was used to compare respondent fear of the pandemic both with their attitudes toward future travel and with Smith Travel Research data reflecting actual pandemic travel patterns.

The results demonstrate how fear of COVID was closely and negatively linked to both travel intentions and travel behavior.

Data were collected from US respondents only.

The findings significantly extend earlier studies and provide guidance for those studying travel consumer behavior regarding trends that should be monitored in the case of a future pandemic or other fear-inducing crisis. For hospitality and tourism managers and marketers, understanding fear as a leading indicator of future travel behavior can result in more timely promotional efforts and staffing and training decisions.

Measuring and understanding consumer fear levels as this relates to travel decisions can help in the future to adjust the message that is sent to the public, perhaps reducing the amount of travel taken during periods when this is unwise and or unsafe.

This paper extends previous work that had been based upon cross-sectional reviews, providing a broader and more valuable study of an important and timely consumer behavior travel topic.

The purpose of this study was to investigate the relationship between job crafting and work engagement and the potential mediating effect of organizational happiness on this relationship.

A sample of 256 full-time employees from various industries such as automobiles, retail, real estate, petrochemicals, investment, industrial and education, working at top 50 Forbes Middle East companies in UAE, were surveyed to gather data on job crafting, organizational happiness and work engagement. The study used an empirical research design, with data collected through surveys.

The results of this study, obtained through a two-step structural equation modelling approach, indicate that job crafting has a positive and direct influence on both organizational happiness and work engagement. The findings also suggest that the relationship between job crafting and work engagement is partially mediated by organizational happiness.

The findings emphasize the need for human resources (HR) professionals to develop programmes and training workshops focused on cultivating these concepts, particularly as remote and blended working arrangements become more prevalent. In addition, the study highlights the global impact of employee disengagement on financial losses and stresses the importance of revising HR policies in the UAE to mitigate potential risks. Lastly, the study suggests that enhancing happiness and reducing disengagement can be achieved through training managers and employees in task structuring techniques, emphasizing the teachability of job crafting skills through interventions that align tasks with employees’ interests.

To the best of the author's knowledge, this is the first study to theoretically explore and empirically test a proposed model on the relationships between job crafting, organizational happiness and work engagement in the context of the UAE.

Railways are a well-known example of complex critical infrastructure, incorporating socio-technical systems with humans such as drivers, signallers, maintainers and passengers at the core. The technological evolution including interconnectedness and new ways of interaction lead to new security and safety risks that can be realised, both in terms of human error, and malicious and non-malicious behaviour. This study aims to identify the human factors (HF) and cyber-security risks relating to the role of signallers on the railways and explores strategies for the improvement of “Digital Resilience” – for the concept of a resilient railway.

Overall, 26 interviews were conducted with 21 participants from industry and academia.

The results showed that due to increased automation, both cyber-related threats and human error can impact signallers’ day-to-day operations – directly or indirectly (e.g. workload and safety-critical communications) – which could disrupt the railway services and potentially lead to safety-related catastrophic consequences. This study identifies cyber-related problems, including external threats; engineers not considering the human element in designs when specifying security controls; lack of security awareness among the rail industry; training gaps; organisational issues; and many unknown “unknowns”.

The authors discuss socio-technical principles through a hexagonal socio-technical framework and training needs analysis to mitigate against cyber-security issues and identify the predictive training needs of the signallers. This is supported by a systematic approach which considers both, safety and security factors, rather than waiting to learn from a cyber-attack retrospectively.

The rapid expansion of internet usage and device connectivity has underscored the importance of understanding the public’s cyber behavior and knowledge. Despite this, there is little research that examines the public’s objective knowledge of secure information security practices. The purpose of this study is to examine how objective cyber awareness is distributed throughout society.

This study draws on a large national survey of adults to examine the relationship between individual factors – such as demographic attributes and socioeconomic resources – and information security awareness. The study estimates several statistical models using weighted logistic regression to model objective information security awareness.

The results indicate that socioeconomic resources such as income and education have a significant effect on individuals’ information security awareness with richer and more highly educated individuals exhibiting greater awareness of important security practices and tools. Additionally, age and gender represent consistent and clear informational gaps in society as older individuals and females are significantly less knowledgeable about an array of information security practices than younger individuals and males, respectively.

The findings have important implications for our understanding of information security behavior and user vulnerability in an increasingly digital and connected society. Despite the growing importance of cybersecurity for all individuals in nearly all domains of daily life, there is substantial inequality in awareness about secure cyber practices and the tools and techniques used to protect one’s self from attacks. While digital technology will continue to permeate many aspects of daily life – from financial transactions to health services to social interactions – the findings here indicate that some users may be far more exposed and vulnerable to attack than others.

This study contributes to our understanding of general user information security awareness using a large survey and statistical models to generalize about the public’s information security awareness across multiple domains and stimulates future research on public knowledge of information security. The findings indicate that some users may be far more exposed and vulnerable to attack than others. Despite the growing importance of cybersecurity for all individuals in nearly all domains of daily life, there is substantial inequality in awareness about secure cyber practices and the tools and techniques used to protect one’s self from attacks.

Financial satisfaction is a potential ambition of individuals' lives that requires well-strategized economic behaviors. The authors examine the impact of various factors on the financial behavior (FB) and financial satisfaction (FIS) of individuals in India's National Capital Region (NCR).

Through a literature review, a survey questionnaire was formulated using existing scales on FIS. For more in-depth insights, data are obtained from 427 respondents in the NCR region using self-administered questionnaires. This article used “partial least square structural equation modeling (PLS-SEM)” to inspect the hypothesized model of individuals' FIS.

According to the study results, financial attitude (FA), financial self-efficacy (FSE), financial knowledge (FK) and demographic characteristics (DC) significantly influence FB. Conversely, financial stress (FS) negatively impacts FB. It also highlights that FA, FSE, FK and FB all significantly impact FIS. Nevertheless, FS and DC insignificantly influence FIS.

To the best knowledge of the authors, this article is an initial attempt to offer a novel perspective of individuals' FB and FIS in India. It would help the government and stakeholders by providing various pioneering economic schemes and making policies that help increase individuals' FIS.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-03-2023-0239