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Despite the growing prison population in South America and the high prevalence of infectious diseases, there is limited evidence on the factors associated with self-reported tuberculosis (TB) in this population. This study aims to identify the factors associated with self-reported TB among inmates in all prisons across Ecuador.

The 2022 Prison Census was used. The presence of TB was self-reported based on the question: Has any doctor diagnosed you with any of the following diseases: Tuberculosis? Prevalence ratios (PR) were obtained using crude and multivariable models along with their 95% confidence intervals (CI) using a generalized linear model with random effect at the prison level to assess the association among the study variables.

The prevalence of self-reported TB was 4.7%. Socio-demographic factors (prisoners aged between 18 and 29 years and indigenous), clinical factors (human immunodeficiency virus [HIV] infection, diabetes and attempted suicide) and imprisonment characteristics (re-offender, having a medical check-up on admission and being incarcerated for 6 months or more) increased the prevalence of self-reported TB compared with their counterparts.

This study provides a detailed understanding of the factors contributing to the prevalence of self-reported TB in the prison population of Ecuador. The findings highlight the need for strategies focused on TB control through diagnosis and treatment, management of HIV, diabetes and malnutrition, as well as the restructuring of prison facilities. Implementing these measures is crucial for addressing the identified factors and improving inmate health conditions.

The purpose of this research was to investigate how VR-mediated sports, as opposed to 2-D screens, affect the emotional and cognitive experiences of fans with the game and its sponsors.

The current study employed a single-factorial experimental design, in which participants were randomly assigned to either watch a soccer game through a VR headset or a 2-D screen. Physiological and self-reported measures were used to measure levels of presence, arousal, attention and memory.

Participants who watched sports through VR experienced a higher level of presence, greater psychophysiological arousal, and exhibited higher levels of attention toward the game. However, they showed lower recognition for in-stadium signage compared to those who watched the game on a 2-D screen.

The results suggest that sports teams can use VR to create a more immersive and engaging experience for fans. Additionally, in-stadium signage advertising may not be as effective in VR sport broadcasting contexts, and sports practitioners may want to explore alternative forms of advertising that are better suited for VR environments.

Methodologically, this study used a combination of self-reported and real-time physiological measures to capture dynamic and spontaneous changes in fans while watching games. Theoretically, this study utilized the Dynamic Human-Centered Communication System Theory to adopt a human-centered approach to understand how VR impacts the experience of sport game viewers.

This study aims to explore how the utilization of 3D virtual experiences and social media improve overall gastro-tourism experiences throughout the tourist journeys.

This study employs a mixed-methods approach. By combining self-reported surveys and EEG tracking, this study is able to rigorously unravel Gen Z’s experience and emotions in enjoying tech-enabled gastro-tourism activities.

Showcasing 3D virtual experiences and TikTok heightened customer expectations in the pre-visit stage. The 3D virtual attractions effectively enhanced tourists’ excitement and positive emotions during on-site gastronomic experiences, and subsequently manifested into a long-term impact on future actual visit intention.

This study contributes to the fields of information technology and tourism by examining how digital technologies affect Gen Z’s behavior and enhance the gastro-tourism experience starting from information search, moving to on-site experiences and subsequently affect their post-purchase behavior.

Asynchronous Video Interviews (AVIs) incorporating Artificial Intelligence (AI)-assisted assessment has become popular as a pre-employment screening method. The extent to which applicants engage in deceptive impression management (IM) behaviors during these interviews remains uncertain. Furthermore, the accuracy of human detection in identifying such deceptive IM behaviors is limited. This study seeks to explore differences in deceptive IM behaviors by applicants across video interview modes (AVIs vs Synchronous Video Interviews (SVIs)) and the use of AI-assisted assessment (AI vs non-AI). The study also investigates if video interview modes affect human interviewers' ability to detect deceptive IM behaviors.

The authors conducted a field study with four conditions based on two critical factors: the synchrony of video interviews (AVI vs SVI) and the presence of AI-assisted assessment (AI vs Non-AI): Non-AI-assisted AVIs, AI-assisted AVIs, Non-AI-assisted SVIs and AI-assisted SVIs. The study involved 144 pairs of interviewees and interviewers/assessors. To assess applicants' deceptive IM behaviors, the authors employed a combination of interviewee self-reports and interviewer perceptions.

The results indicate that AVIs elicited fewer instances of deceptive IM behaviors across all dimensions when compared to SVIs. Furthermore, using AI-assisted assessment in both video interview modes resulted in less extensive image creation than non-AI settings. However, the study revealed that human interviewers had difficulties detecting deceptive IM behaviors regardless of the mode used, except for extensive faking in AVIs.

The study is the first to address the call for research on the impact of video interview modes and AI on interviewee faking and interviewer accuracy. This research enhances the authors’ understanding of the practical implications associated with the use of different video interview modes and AI algorithms in the pre-employment screening process. The study contributes to the existing literature by refining the theoretical model of faking likelihood in employment interviews according to media richness theory and the model of volitional rating behavior based on expectancy theory in the context of AVIs and AI-assisted assessment.

The purpose of this study was to describe the association between sedentary time and social engagement among older adults living in megacities in India.

Data from a cross-sectional survey conducted in New Delhi and Chennai were used for analysis. In the total sample (n = 528), 65% of older adults self-reported engaging in high (≥180 min/day) volumes of sedentary time. There were no associations between sedentary time and social engagement in older females.

Among older males, those reporting high levels of communicating or visiting with family and friends had lower odds of reporting ≥ 180 min/day of sedentary time (OR: 0.51, CI: 0.27–0.98) compared to those reporting low levels of this type of social engagement. Older males reporting high levels of participating in a club (OR: 2.27, CI: 1.19–4.3) or participating in religious activities (OR: 1.97, 1.01–3.85) were approximately two times more likely to report ≥ 180 min/day sedentary time compared to those reporting low levels of these types of social engagement.

These data suggest that the type of social activity appears to significantly affect self-reported sedentary time among older males, but not females. These findings have implications for interventions aimed at improving active aging among older adults living in megacities in India.

Despite the online shopping trend, many women still prefer in-store experiences for trying on and buying clothes. The body positivity movement endorsed by many brands implies that all women, even those with lower body appreciation, should feel included in this setting. However, studies have yet to quantitatively explore the mediating role of women’s positive body image between clothing size and in-store experiences. To address this gap, this study examined the in-store experiences of 642 women from largely Western nations (Mage = 45.96, standard deviation (SD) = 9.31) who self-reported as straight-, mid- and plus-sizes and the mediating role of body appreciation.

Participants completed online questionnaires with measures including clothing size, body appreciation, in-store experiences and preferences for in-store changes.

Women of mid-size and plus-size were more likely than women of straight-size to report lower body appreciation, which led to a greater desire for guidance from staff about styles but less likelihood to approach them, higher discomfort going up a size and lower confidence trying on clothes. In contrast, straight-size women generally felt more comfortable and confident in-store clothes shopping. A direct link between clothing size and lower purchase intentions without in-store representation was found; however, body appreciation did not mediate this link. Preferences for in-store changes included better support from sales staff and more inclusive imagery.

This study indicates that in-store clothes shopping may not feel like retail therapy for women who identify as mid-size or plus-size and experience low body appreciation. It highlights the need for comprehensive reform within the fashion retail industry by prioritizing inclusivity through better staff support and in-store representation for all sizes.

To most people, money is a motivator, which is robustly true for salespeople. A high love of money attitude predicts university students’ poor academic performance in a business course and cheating in laboratory experiments and multiple panel studies, but money (income) itself does not predict dishonesty. Extrinsic reward undermines intrinsic motivation. Very little research has incorporated the grit construct in the sales literature and explored the relationship between grit and the love of money. Further, a growth mindset and a fixed mindset may also impact salespeople’s job performance. This study aims to explore a brand-new theoretical structural equation model (SEM) and investigate the relationships between individual characteristics (growth and fixed mindsets and grit orientation) and job performance directly and indirectly through a mediator – salespeople’s love of money attitude.

This study uses Qualtrics and collects data from 330 business-to-business (B2B) salespeople across several industries in the USA. This study uses a formative SEM model to test this study’s hypotheses.

First, there are significant correlations among grit, a growth mindset and a fixed mindset, revealing no construct duplication or redundancy. Second, both a growth mindset and grit indirectly enhance job performance through the love of money attitude – a mediator, offering a brand-new discovery. Third, counter-intuitively, a growth mindset and grit do not directly improve job performance. Fourth, grit is significantly and negatively related to the love of money attitude, adding a new twist to this study’s theoretical model. Fifth, a fixed mindset undermines job performance directly but is unrelated to the love of money. Overall, B2B salespeople’s love of money attitude (employee demand) undermines sales personnel’s self-reported job performance (organization demand) in the organization and employee’s supply and demand exchange relationship.

The findings reveal that a growth mindset, a fixed mindset and grit contribute differently to sales personnel’s love of money attitude and job performance in this study’s theoretical model. The love of money serves as a mediator. A commonly accepted belief is that money is a motivator. Money (income) itself and the love of money attitude are two separate constructs. This study’s novel discoveries provide the essential missing monetary-aspirations-to-job-performance link in the literature – ardent monetary aspiration undermines self-reported job performance. This study offers inspiration to help decision-makers make happy, healthy and wealthy decisions and improve performance.

The increased use of Information Systems (IS) as a working tool for employees increases the number of accounts and passwords required. Despite being more aware of password entropy, users still often participate in deviant password behaviors, known as “password workarounds” or “shadow security.” These deviant password behaviors can put individuals and organizations at risk, resulting in a data breach. This paper aims to engage IS users and Subject Matter Experts (SMEs), focused on designing, developing and empirically validating the Password Workaround Cybersecurity Risk Taxonomy (PaWoCyRiT) – a 2x2 taxonomy constructed by aggregated scores of perceived cybersecurity risks from Password Workarounds (PWWAs) techniques and their usage frequency.

This research study was a developmental design conducted in three phases using qualitative and quantitative methods: (1) A set of 10 PWWAs that were identified from the literature were validated by SMEs along with their perspectives on the PWWAs usage and risk for data breach; (2) A pilot study was conducted to ensure reliability and validity and identify if any measurement issues would have hindered the results and (3) The main study data collection was conducted with a large group of IS users, where also they reported on coworkers' engagement frequencies related to the PWWAs.

The results indicate that statistically significant differences were found between SMEs and IS users in their aggregated perceptions of risks of the PWWAs in causing a data breach, with IS users perceiving higher risks. Engagement patterns varied between the two groups, as well as factors like years of IS experience, gender and job level had statistically significant differences among groups.

The PaWoCyRiT taxonomy that the we have developed and empirically validated is a handy tool for organizational cyber risk officers. The taxonomy provides organizations with a quantifiable means to assess and ultimately mitigate cybersecurity risks.

Passwords have been used for a long time to grant controlled access to classified spaces, electronics, networks and more. However, the dramatic increase in user accounts over the past few decades has exposed the realization that technological measures alone cannot ensure a high level of IS security; this leaves the end-users holding a critical role in protecting their organization and personal information. Thus, the taxonomy that the authors have developed and empirically validated provides broader implications for society, as it assists organizations in all industries with the ability to mitigate the risks of data breaches that can result from PWWAs.

The taxonomy the we have developed and validated, the PaWoCyRiT, provides organizations with insights into password-related risks and behaviors that may lead to data breaches.

Previous research suggests that emotional intelligence (EI) may benefit managers when resolving conflicts. However, past studies relied on self-reports of EI and conflict management styles, and a theoretical model explaining the mechanisms of the link between EI and conflict management outcomes for managers is still missing. This study aims to test a theoretical model proposing that during conflicts, managers with higher performance-based ability EI are perceived as warmer and more competent, which in turn contributes to higher conflict management effectiveness.

A total of 108 Executive MBA students with managerial experience completed a performance-based EI test designed for the workplace and engaged in a conflict management exercise during which they were videotaped. In the exercise, managers spontaneously responded to video-based vignettes in which “employees” addressed them regarding a work-related conflict (e.g. a disagreement regarding tasks and working hours). Independent observers (n = 262) rated the managers’ videotaped responses on items tapping warmth, competence and conflict management effectiveness.

Managers with higher performance-based EI (in particular, emotion regulation in oneself and emotion management in others) received higher observer ratings on warmth, competence and conflict management effectiveness. Warmth and competence fully mediated the link between EI and effectiveness.

These results demonstrate that managers’ performance-based EI translates into actual work-related behaviors and outcomes. Implications for training EI and effective conflict management are discussed.

This study evaluated the impact of a faculty training program on student assessment using the Kirkpatrick model.

A self-reported survey assessed 111 Saudi and non-Saudi participants' satisfaction. Subjective and objective measures (self-reported measures, assessment literacy inventory and performance-based assessment tasks) gauged participants' learning level. Pre- and post-training data were collected from 2020 to 2022.

A highly significant effect on satisfaction (>80%) and learning levels was observed, as manifested by workplace practices of student assessment (>70%, the cut-off score). Pre- and post-training comparisons of participants' satisfaction and assessment literacy scores showed significant improvements following training. Multiple regression analyses showed no significant effects for gender and educational attainment but a substantial impact of academic cluster on participants' student assessment skills.

Long-term effects of training faculty on assessment practices and student achievement will be studied at the institutional level in future research.

The current study contributes to human capital investment via faculty training on student assessment, helping them comply with assessment best practices. This assures the quality, fairness and consistency of assessment processes across disciplines in higher education institutions, enhances assessment validity and trust in educational services and may support institutional accreditation.

This study provides opportunities for sharing best practices and helps establish a community of practice. It enhances learning outcomes achievement and empowers higher education graduates with attributes necessary to succeed in the labor market. The human capital investment may have a long-term impact on overall higher education quality.

This study contributes to the scarce literature investigating the impact of training faculty from different clusters on student assessment using subjective and objective measures. It provides developing and evaluating a long-term student assessment program following the Kirkpatrick model.